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How to write a research plan: Step-by-step guide

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Today’s businesses and institutions rely on data and analytics to inform their product and service decisions. These metrics influence how organizations stay competitive and inspire innovation. However, gathering data and insights requires carefully constructed research, and every research project needs a roadmap. This is where a research plan comes into play.

Read this step-by-step guide for writing a detailed research plan that can apply to any project, whether it’s scientific, educational, or business-related.

• What is a research plan?

A research plan is a documented overview of a project in its entirety, from end to end. It details the research efforts, participants, and methods needed, along with any anticipated results. It also outlines the project’s goals and mission, creating layers of steps to achieve those goals within a specified timeline.

Without a research plan, you and your team are flying blind, potentially wasting time and resources to pursue research without structured guidance.

The principal investigator, or PI, is responsible for facilitating the research oversight. They will create the research plan and inform team members and stakeholders of every detail relating to the project. The PI will also use the research plan to inform decision-making throughout the project.

• Why do you need a research plan?

Create a research plan before starting any official research to maximize every effort in pursuing and collecting the research data. Crucially, the plan will model the activities needed at each phase of the research project .

Like any roadmap, a research plan serves as a valuable tool providing direction for those involved in the project—both internally and externally. It will keep you and your immediate team organized and task-focused while also providing necessary definitions and timelines so you can execute your project initiatives with full understanding and transparency.

External stakeholders appreciate a working research plan because it’s a great communication tool, documenting progress and changing dynamics as they arise. Any participants of your planned research sessions will be informed about the purpose of your study, while the exercises will be based on the key messaging outlined in the official plan.

Here are some of the benefits of creating a research plan document for every project:

Project organization and structure

Well-informed participants

All stakeholders and teams align in support of the project

Clearly defined project definitions and purposes

Distractions are eliminated, prioritizing task focus

Timely management of individual task schedules and roles

Costly reworks are avoided

• What should a research plan include?

The different aspects of your research plan will depend on the nature of the project. However, most official research plan documents will include the core elements below. Each aims to define the problem statement , devising an official plan for seeking a solution.

Specific project goals and individual objectives

Ideal strategies or methods for reaching those goals

Required resources

Descriptions of the target audience, sample sizes , demographics, and scopes

Key performance indicators (KPIs)

Project background

Research and testing support

Preliminary studies and progress reporting mechanisms

Cost estimates and change order processes

Depending on the research project’s size and scope, your research plan could be brief—perhaps only a few pages of documented plans. Alternatively, it could be a fully comprehensive report. Either way, it’s an essential first step in dictating your project’s facilitation in the most efficient and effective way.

• How to write a research plan for your project

When you start writing your research plan, aim to be detailed about each step, requirement, and idea. The more time you spend curating your research plan, the more precise your research execution efforts will be.

Account for every potential scenario, and be sure to address each and every aspect of the research.

Consider following this flow to develop a great research plan for your project:

Define your project’s purpose

Start by defining your project’s purpose. Identify what your project aims to accomplish and what you are researching. Remember to use clear language.

Thinking about the project’s purpose will help you set realistic goals and inform how you divide tasks and assign responsibilities. These individual tasks will be your stepping stones to reach your overarching goal.

Additionally, you’ll want to identify the specific problem, the usability metrics needed, and the intended solutions.

Know the following three things about your project’s purpose before you outline anything else:

What you’re doing

Why you’re doing it

What you expect from it

Identify individual objectives

With your overarching project objectives in place, you can identify any individual goals or steps needed to reach those objectives. Break them down into phases or steps. You can work backward from the project goal and identify every process required to facilitate it.

Be mindful to identify each unique task so that you can assign responsibilities to various team members. At this point in your research plan development, you’ll also want to assign priority to those smaller, more manageable steps and phases that require more immediate or dedicated attention.

Select research methods

Once you have outlined your goals, objectives, steps, and tasks, it’s time to drill down on selecting research methods . You’ll want to leverage specific research strategies and processes. When you know what methods will help you reach your goals, you and your teams will have direction to perform and execute your assigned tasks.

Research methods might include any of the following:

User interviews : this is a qualitative research method where researchers engage with participants in one-on-one or group conversations. The aim is to gather insights into their experiences, preferences, and opinions to uncover patterns, trends, and data.

Field studies : this approach allows for a contextual understanding of behaviors, interactions, and processes in real-world settings. It involves the researcher immersing themselves in the field, conducting observations, interviews, or experiments to gather in-depth insights.

Card sorting : participants categorize information by sorting content cards into groups based on their perceived similarities. You might use this process to gain insights into participants’ mental models and preferences when navigating or organizing information on websites, apps, or other systems.

Focus groups : use organized discussions among select groups of participants to provide relevant views and experiences about a particular topic.

Diary studies : ask participants to record their experiences, thoughts, and activities in a diary over a specified period. This method provides a deeper understanding of user experiences, uncovers patterns, and identifies areas for improvement.

Five-second testing: participants are shown a design, such as a web page or interface, for just five seconds. They then answer questions about their initial impressions and recall, allowing you to evaluate the design’s effectiveness.

Surveys : get feedback from participant groups with structured surveys. You can use online forms, telephone interviews, or paper questionnaires to reveal trends, patterns, and correlations.

Tree testing : tree testing involves researching web assets through the lens of findability and navigability. Participants are given a textual representation of the site’s hierarchy (the “tree”) and asked to locate specific information or complete tasks by selecting paths.

Usability testing : ask participants to interact with a product, website, or application to evaluate its ease of use. This method enables you to uncover areas for improvement in digital key feature functionality by observing participants using the product.

Live website testing: research and collect analytics that outlines the design, usability, and performance efficiencies of a website in real time.

There are no limits to the number of research methods you could use within your project. Just make sure your research methods help you determine the following:

What do you plan to do with the research findings?

What decisions will this research inform? How can your stakeholders leverage the research data and results?

Recruit participants and allocate tasks

Next, identify the participants needed to complete the research and the resources required to complete the tasks. Different people will be proficient at different tasks, and having a task allocation plan will allow everything to run smoothly.

Prepare a thorough project summary

Every well-designed research plan will feature a project summary. This official summary will guide your research alongside its communications or messaging. You’ll use the summary while recruiting participants and during stakeholder meetings. It can also be useful when conducting field studies.

Ensure this summary includes all the elements of your research project . Separate the steps into an easily explainable piece of text that includes the following:

An introduction: the message you’ll deliver to participants about the interview, pre-planned questioning, and testing tasks.

Interview questions: prepare questions you intend to ask participants as part of your research study, guiding the sessions from start to finish.

An exit message: draft messaging your teams will use to conclude testing or survey sessions. These should include the next steps and express gratitude for the participant’s time.

Create a realistic timeline

While your project might already have a deadline or a results timeline in place, you’ll need to consider the time needed to execute it effectively.

Realistically outline the time needed to properly execute each supporting phase of research and implementation. And, as you evaluate the necessary schedules, be sure to include additional time for achieving each milestone in case any changes or unexpected delays arise.

For this part of your research plan, you might find it helpful to create visuals to ensure your research team and stakeholders fully understand the information.

Determine how to present your results

A research plan must also describe how you intend to present your results. Depending on the nature of your project and its goals, you might dedicate one team member (the PI) or assume responsibility for communicating the findings yourself.

In this part of the research plan, you’ll articulate how you’ll share the results. Detail any materials you’ll use, such as:

Presentations and slides

A project report booklet

A project findings pamphlet

Documents with key takeaways and statistics

Graphic visuals to support your findings

• Format your research plan

As you create your research plan, you can enjoy a little creative freedom. A plan can assume many forms, so format it how you see fit. Determine the best layout based on your specific project, intended communications, and the preferences of your teams and stakeholders.

Find format inspiration among the following layouts:

Written outlines

Narrative storytelling

Visual mapping

Graphic timelines

Remember, the research plan format you choose will be subject to change and adaptation as your research and findings unfold. However, your final format should ideally outline questions, problems, opportunities, and expectations.

• Research plan example

Imagine you’ve been tasked with finding out how to get more customers to order takeout from an online food delivery platform. The goal is to improve satisfaction and retain existing customers. You set out to discover why more people aren’t ordering and what it is they do want to order or experience. 

You identify the need for a research project that helps you understand what drives customer loyalty . But before you jump in and start calling past customers, you need to develop a research plan—the roadmap that provides focus, clarity, and realistic details to the project.

Here’s an example outline of a research plan you might put together:

Project title

Project members involved in the research plan

Purpose of the project (provide a summary of the research plan’s intent)

Objective 1 (provide a short description for each objective)

Objective 2

Objective 3

Proposed timeline

Audience (detail the group you want to research, such as customers or non-customers)

Budget (how much you think it might cost to do the research)

Risk factors/contingencies (any potential risk factors that may impact the project’s success)

Remember, your research plan doesn’t have to reinvent the wheel—it just needs to fit your project’s unique needs and aims.

Customizing a research plan template

Some companies offer research plan templates to help get you started. However, it may make more sense to develop your own customized plan template. Be sure to include the core elements of a great research plan with your template layout, including the following:

Introductions to participants and stakeholders

Background problems and needs statement

Significance, ethics, and purpose

Research methods, questions, and designs

Preliminary beliefs and expectations

Implications and intended outcomes

Realistic timelines for each phase

Conclusion and presentations

How many pages should a research plan be?

Generally, a research plan can vary in length between 500 to 1,500 words. This is roughly three pages of content. More substantial projects will be 2,000 to 3,500 words, taking up four to seven pages of planning documents.

What is the difference between a research plan and a research proposal?

A research plan is a roadmap to success for research teams. A research proposal, on the other hand, is a dissertation aimed at convincing or earning the support of others. Both are relevant in creating a guide to follow to complete a project goal.

What are the seven steps to developing a research plan?

While each research project is different, it’s best to follow these seven general steps to create your research plan:

Defining the problem

Identifying goals

Choosing research methods

Recruiting participants

Preparing the brief or summary

Establishing task timelines

Defining how you will present the findings

Should you be using a customer insights hub?

Do you want to discover previous research faster?

Do you share your research findings with others?

Do you analyze research data?

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FLEET LIBRARY | Research Guides

Rhode island school of design, create a research plan: research plan.

• Research Plan
• Literature Review
• Ulrich's Global Serials Directory
• Related Guides

A research plan is a framework that shows how you intend to approach your topic. The plan can take many forms: a written outline, a narrative, a visual/concept map or timeline. It's a document that will change and develop as you conduct your research. Components of a research plan

1. Research conceptualization - introduces your research question

2. Research methodology - describes your approach to the research question

3. Literature review, critical evaluation and synthesis - systematic approach to locating,

    reviewing and evaluating the work (text, exhibitions, critiques, etc) relating to your topic

4. Communication - geared toward an intended audience, shows evidence of your inquiry

Research conceptualization refers to the ability to identify specific research questions, problems or opportunities that are worthy of inquiry. Research conceptualization also includes the skills and discipline that go beyond the initial moment of conception, and which enable the researcher to formulate and develop an idea into something researchable ( Newbury 373).

Research methodology refers to the knowledge and skills required to select and apply appropriate methods to carry through the research project ( Newbury 374) .

Method describes a single mode of proceeding; methodology describes the overall process.

Method - a way of doing anything especially according to a defined and regular plan; a mode of procedure in any activity

Methodology - the study of the direction and implications of empirical research, or the sustainability of techniques employed in it; a method or body of methods used in a particular field of study or activity *Browse a list of research methodology books  or this guide on Art & Design Research

Literature Review, critical evaluation & synthesis

A literature review is a systematic approach to locating, reviewing, and evaluating the published work and work in progress of scholars, researchers, and practitioners on a given topic.

Critical evaluation and synthesis is the ability to handle (or process) existing sources. It includes knowledge of the sources of literature and contextual research field within which the person is working ( Newbury 373).

Literature reviews are done for many reasons and situations. Here's a short list:

Sources to consult while conducting a literature review:

Online catalogs of local, regional, national, and special libraries

meta-catalogs such as worldcat , Art Discovery Group , europeana , world digital library or RIBA

subject-specific online article databases (such as the Avery Index, JSTOR, Project Muse)

digital institutional repositories such as Digital Commons @RISD ; see Registry of Open Access Repositories

Open Access Resources recommended by RISD Research LIbrarians

works cited in scholarly books and articles

print bibliographies

the internet-locate major nonprofit, research institutes, museum, university, and government websites

search google scholar to locate grey literature & referenced citations

trade and scholarly publishers

fellow scholars and peers

Communication                              

Communication refers to the ability to

• structure a coherent line of inquiry
• communicate your findings to your intended audience
• make skilled use of visual material to express ideas for presentations, writing, and the creation of exhibitions ( Newbury 374)

Research plan framework: Newbury, Darren. "Research Training in the Creative Arts and Design." The Routledge Companion to Research in the Arts . Ed. Michael Biggs and Henrik Karlsson. New York: Routledge, 2010. 368-87. Print.

About the author

Except where otherwise noted, this guide is subject to a Creative Commons Attribution license

source document

  Routledge Companion to Research in the Arts

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• A Research Guide
• Research Paper Guide

How to Write a Research Plan

• Research plan definition
• Purpose of a research plan
• Research plan structure
• Step-by-step writing guide

Tips for creating a research plan

• Research plan examples

Research plan: definition and significance

What is the purpose of a research plan.

• Bridging gaps in the existing knowledge related to their subject.
• Reinforcing established research about their subject.
• Introducing insights that contribute to subject understanding.

Research plan structure & template

Introduction.

• What is the existing knowledge about the subject?
• What gaps remain unanswered?
• How will your research enrich understanding, practice, and policy?

Literature review

Expected results.

• Express how your research can challenge established theories in your field.
• Highlight how your work lays the groundwork for future research endeavors.
• Emphasize how your work can potentially address real-world problems.

5 Steps to crafting an effective research plan

Step 1: define the project purpose, step 2: select the research method, step 3: manage the task and timeline, step 4: write a summary, step 5: plan the result presentation.

• Brainstorm Collaboratively: Initiate a collective brainstorming session with peers or experts. Outline the essential questions that warrant exploration and answers within your research.
• Prioritize and Feasibility: Evaluate the list of questions and prioritize those that are achievable and important. Focus on questions that can realistically be addressed.
• Define Key Terminology: Define technical terms pertinent to your research, fostering a shared understanding. Ensure that terms like “church” or “unreached people group” are well-defined to prevent ambiguity.
• Organize your approach: Once well-acquainted with your institution’s regulations, organize each aspect of your research by these guidelines. Allocate appropriate word counts for different sections and components of your research paper.

Research plan example

• Writing a Research Paper
• Research Paper Title
• Research Paper Sources
• Research Paper Problem Statement
• Research Paper Thesis Statement
• Hypothesis for a Research Paper
• Research Question
• Research Paper Outline
• Research Paper Summary
• Research Paper Prospectus
• Research Paper Proposal
• Research Paper Format
• Research Paper Styles
• AMA Style Research Paper
• MLA Style Research Paper
• Chicago Style Research Paper
• APA Style Research Paper
• Research Paper Structure
• Research Paper Cover Page
• Research Paper Abstract
• Research Paper Introduction
• Research Paper Body Paragraph
• Research Paper Literature Review
• Research Paper Background
• Research Paper Methods Section
• Research Paper Results Section
• Research Paper Discussion Section
• Research Paper Conclusion
• Research Paper Appendix
• Research Paper Bibliography
• APA Reference Page
• Annotated Bibliography
• Bibliography vs Works Cited vs References Page
• Research Paper Types
• What is Qualitative Research

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11.2 Steps in Developing a Research Proposal

Learning objectives.

• Identify the steps in developing a research proposal.
• Choose a topic and formulate a research question and working thesis.
• Develop a research proposal.

Writing a good research paper takes time, thought, and effort. Although this assignment is challenging, it is manageable. Focusing on one step at a time will help you develop a thoughtful, informative, well-supported research paper.

Your first step is to choose a topic and then to develop research questions, a working thesis, and a written research proposal. Set aside adequate time for this part of the process. Fully exploring ideas will help you build a solid foundation for your paper.

Choosing a Topic

When you choose a topic for a research paper, you are making a major commitment. Your choice will help determine whether you enjoy the lengthy process of research and writing—and whether your final paper fulfills the assignment requirements. If you choose your topic hastily, you may later find it difficult to work with your topic. By taking your time and choosing carefully, you can ensure that this assignment is not only challenging but also rewarding.

Writers understand the importance of choosing a topic that fulfills the assignment requirements and fits the assignment’s purpose and audience. (For more information about purpose and audience, see Chapter 6 “Writing Paragraphs: Separating Ideas and Shaping Content” .) Choosing a topic that interests you is also crucial. You instructor may provide a list of suggested topics or ask that you develop a topic on your own. In either case, try to identify topics that genuinely interest you.

After identifying potential topic ideas, you will need to evaluate your ideas and choose one topic to pursue. Will you be able to find enough information about the topic? Can you develop a paper about this topic that presents and supports your original ideas? Is the topic too broad or too narrow for the scope of the assignment? If so, can you modify it so it is more manageable? You will ask these questions during this preliminary phase of the research process.

Identifying Potential Topics

Sometimes, your instructor may provide a list of suggested topics. If so, you may benefit from identifying several possibilities before committing to one idea. It is important to know how to narrow down your ideas into a concise, manageable thesis. You may also use the list as a starting point to help you identify additional, related topics. Discussing your ideas with your instructor will help ensure that you choose a manageable topic that fits the requirements of the assignment.

In this chapter, you will follow a writer named Jorge, who is studying health care administration, as he prepares a research paper. You will also plan, research, and draft your own research paper.

Jorge was assigned to write a research paper on health and the media for an introductory course in health care. Although a general topic was selected for the students, Jorge had to decide which specific issues interested him. He brainstormed a list of possibilities.

If you are writing a research paper for a specialized course, look back through your notes and course activities. Identify reading assignments and class discussions that especially engaged you. Doing so can help you identify topics to pursue.

• Health Maintenance Organizations (HMOs) in the news
• Sexual education programs
• Hollywood and eating disorders
• Americans’ access to public health information
• Media portrayal of health care reform bill
• Depictions of drugs on television
• The effect of the Internet on mental health
• Popularized diets (such as low-carbohydrate diets)
• Fear of pandemics (bird flu, HINI, SARS)
• Electronic entertainment and obesity
• Advertisements for prescription drugs
• Public education and disease prevention

Set a timer for five minutes. Use brainstorming or idea mapping to create a list of topics you would be interested in researching for a paper about the influence of the Internet on social networking. Do you closely follow the media coverage of a particular website, such as Twitter? Would you like to learn more about a certain industry, such as online dating? Which social networking sites do you and your friends use? List as many ideas related to this topic as you can.

Narrowing Your Topic

Once you have a list of potential topics, you will need to choose one as the focus of your essay. You will also need to narrow your topic. Most writers find that the topics they listed during brainstorming or idea mapping are broad—too broad for the scope of the assignment. Working with an overly broad topic, such as sexual education programs or popularized diets, can be frustrating and overwhelming. Each topic has so many facets that it would be impossible to cover them all in a college research paper. However, more specific choices, such as the pros and cons of sexual education in kids’ television programs or the physical effects of the South Beach diet, are specific enough to write about without being too narrow to sustain an entire research paper.

A good research paper provides focused, in-depth information and analysis. If your topic is too broad, you will find it difficult to do more than skim the surface when you research it and write about it. Narrowing your focus is essential to making your topic manageable. To narrow your focus, explore your topic in writing, conduct preliminary research, and discuss both the topic and the research with others.

Exploring Your Topic in Writing

“How am I supposed to narrow my topic when I haven’t even begun researching yet?” In fact, you may already know more than you realize. Review your list and identify your top two or three topics. Set aside some time to explore each one through freewriting. (For more information about freewriting, see Chapter 8 “The Writing Process: How Do I Begin?” .) Simply taking the time to focus on your topic may yield fresh angles.

Jorge knew that he was especially interested in the topic of diet fads, but he also knew that it was much too broad for his assignment. He used freewriting to explore his thoughts so he could narrow his topic. Read Jorge’s ideas.

Conducting Preliminary Research

Another way writers may focus a topic is to conduct preliminary research . Like freewriting, exploratory reading can help you identify interesting angles. Surfing the web and browsing through newspaper and magazine articles are good ways to start. Find out what people are saying about your topic on blogs and online discussion groups. Discussing your topic with others can also inspire you. Talk about your ideas with your classmates, your friends, or your instructor.

Jorge’s freewriting exercise helped him realize that the assigned topic of health and the media intersected with a few of his interests—diet, nutrition, and obesity. Preliminary online research and discussions with his classmates strengthened his impression that many people are confused or misled by media coverage of these subjects.

Jorge decided to focus his paper on a topic that had garnered a great deal of media attention—low-carbohydrate diets. He wanted to find out whether low-carbohydrate diets were as effective as their proponents claimed.

Writing at Work

At work, you may need to research a topic quickly to find general information. This information can be useful in understanding trends in a given industry or generating competition. For example, a company may research a competitor’s prices and use the information when pricing their own product. You may find it useful to skim a variety of reliable sources and take notes on your findings.

The reliability of online sources varies greatly. In this exploratory phase of your research, you do not need to evaluate sources as closely as you will later. However, use common sense as you refine your paper topic. If you read a fascinating blog comment that gives you a new idea for your paper, be sure to check out other, more reliable sources as well to make sure the idea is worth pursuing.

Review the list of topics you created in Note 11.18 “Exercise 1” and identify two or three topics you would like to explore further. For each of these topics, spend five to ten minutes writing about the topic without stopping. Then review your writing to identify possible areas of focus.

Set aside time to conduct preliminary research about your potential topics. Then choose a topic to pursue for your research paper.

Collaboration

Please share your topic list with a classmate. Select one or two topics on his or her list that you would like to learn more about and return it to him or her. Discuss why you found the topics interesting, and learn which of your topics your classmate selected and why.

A Plan for Research

Your freewriting and preliminary research have helped you choose a focused, manageable topic for your research paper. To work with your topic successfully, you will need to determine what exactly you want to learn about it—and later, what you want to say about it. Before you begin conducting in-depth research, you will further define your focus by developing a research question , a working thesis, and a research proposal.

Formulating a Research Question

In forming a research question, you are setting a goal for your research. Your main research question should be substantial enough to form the guiding principle of your paper—but focused enough to guide your research. A strong research question requires you not only to find information but also to put together different pieces of information, interpret and analyze them, and figure out what you think. As you consider potential research questions, ask yourself whether they would be too hard or too easy to answer.

To determine your research question, review the freewriting you completed earlier. Skim through books, articles, and websites and list the questions you have. (You may wish to use the 5WH strategy to help you formulate questions. See Chapter 8 “The Writing Process: How Do I Begin?” for more information about 5WH questions.) Include simple, factual questions and more complex questions that would require analysis and interpretation. Determine your main question—the primary focus of your paper—and several subquestions that you will need to research to answer your main question.

Here are the research questions Jorge will use to focus his research. Notice that his main research question has no obvious, straightforward answer. Jorge will need to research his subquestions, which address narrower topics, to answer his main question.

Using the topic you selected in Note 11.24 “Exercise 2” , write your main research question and at least four to five subquestions. Check that your main research question is appropriately complex for your assignment.

Constructing a Working ThesIs

A working thesis concisely states a writer’s initial answer to the main research question. It does not merely state a fact or present a subjective opinion. Instead, it expresses a debatable idea or claim that you hope to prove through additional research. Your working thesis is called a working thesis for a reason—it is subject to change. As you learn more about your topic, you may change your thinking in light of your research findings. Let your working thesis serve as a guide to your research, but do not be afraid to modify it based on what you learn.

Jorge began his research with a strong point of view based on his preliminary writing and research. Read his working thesis statement, which presents the point he will argue. Notice how it states Jorge’s tentative answer to his research question.

One way to determine your working thesis is to consider how you would complete sentences such as I believe or My opinion is . However, keep in mind that academic writing generally does not use first-person pronouns. These statements are useful starting points, but formal research papers use an objective voice.

Write a working thesis statement that presents your preliminary answer to the research question you wrote in Note 11.27 “Exercise 3” . Check that your working thesis statement presents an idea or claim that could be supported or refuted by evidence from research.

Creating a Research Proposal

A research proposal is a brief document—no more than one typed page—that summarizes the preliminary work you have completed. Your purpose in writing it is to formalize your plan for research and present it to your instructor for feedback. In your research proposal, you will present your main research question, related subquestions, and working thesis. You will also briefly discuss the value of researching this topic and indicate how you plan to gather information.

When Jorge began drafting his research proposal, he realized that he had already created most of the pieces he needed. However, he knew he also had to explain how his research would be relevant to other future health care professionals. In addition, he wanted to form a general plan for doing the research and identifying potentially useful sources. Read Jorge’s research proposal.

Before you begin a new project at work, you may have to develop a project summary document that states the purpose of the project, explains why it would be a wise use of company resources, and briefly outlines the steps involved in completing the project. This type of document is similar to a research proposal. Both documents define and limit a project, explain its value, discuss how to proceed, and identify what resources you will use.

Writing Your Own Research Proposal

Now you may write your own research proposal, if you have not done so already. Follow the guidelines provided in this lesson.

Key Takeaways

• Developing a research proposal involves the following preliminary steps: identifying potential ideas, choosing ideas to explore further, choosing and narrowing a topic, formulating a research question, and developing a working thesis.
• A good topic for a research paper interests the writer and fulfills the requirements of the assignment.
• Defining and narrowing a topic helps writers conduct focused, in-depth research.
• Writers conduct preliminary research to identify possible topics and research questions and to develop a working thesis.
• A good research question interests readers, is neither too broad nor too narrow, and has no obvious answer.
• A good working thesis expresses a debatable idea or claim that can be supported with evidence from research.
• Writers create a research proposal to present their topic, main research question, subquestions, and working thesis to an instructor for approval or feedback.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

Performing Academic Research: Creating a research plan

• The research process
• Creating a research plan
• Primary and secondary sources
• Academic vs. non-academic information
• Evaluating information: The PAARC test

What is a research plan?

When doing research, it pays to plan ahead. If you take some time to really think about your topic and how you're going to look for sources, you can save yourself hours in the long run. A well thought out research plan will help you find relevant books, ebooks, journal articles, encyclopedia articles, dictionary entries and more much more easily than if you just jumped right in to a database and hoped for the best. It's an easy and helpful way to organize your thinking about a topic, which will help you find what you need.

To help you with creating your research plan, we've set out the following steps:

Step one - Write down your topic

Start by writing out your topic, either on a piece of paper or in a notebook or typed out on your computer. Writing out your topic will help you visualize the parts of your topic, which will be helpful as you build your research plan.

For example, let's say our topic is:

How effective is social media in influencing the youth vote?

Write your topic out like we have here and take a moment to think about the topic and what it is really asking. If what you write out the first time turns out to not be the question you want to ask, try writing it down again with a different wording. Keep doing this until you're confident you've captured the topic you really want to explore.

Step two - Identify your core concepts

Next, take a look at your topic and try to identify what we call its  core concepts . The core concepts of a topic are the words that represent the major ideas that you'll explore with your topic.

Think of it this way: what would be the words in your topic that you would absolutely need to be able to identify your topic? Any words that you absolutely need are your core concepts. Any other words are just there to help contextualize those concepts in a sentence.

When identifying core concepts, it can help to circle or highlight them in your topic sentence. For our example, that would look like this:

Here, we've highlighted social media , youth and vote . These are the three major ideas that we'll be looking at with this topic. They are the "who" (youth) and the "what" (social media and voting) of your topic. All of the other words in your sentence simply relate to these three core concepts and help contextualize them in a sentence. Those words are helpful when you're trying to express a topic to someone else, but, when you're search for sources using a computer, all you need are the essential, core concepts. Anything else will simple get in the way of getting good results.

Step three - Find synonyms

Next, you need to think of synonyms for your core concepts, or other ways that you might express those words. This is critically important when you're doing any type of computer-based searching.

Here's why:

Different people will express the same idea different ways using different words, yet everyone can still get their point across. For example, while you might call a bicycle a "bike" or a "velocipede" (no, really, it's a real word), you're still able to understand that all of those words refer to "a vehicle having two wheels held one behind the other in a frame, typically propelled by a seated rider using pedals, and steered by means of handlebars at the front" (OED Online).

However, computers aren't very good at making those kinds of connections. For the most part, they will only search for the specific word you give them. For example, if you type "bike" into a database search box, you'll only find sources that use the word "bike". You won't find the sources that use "bicycle" even if those sources are appropriate to your topic. By finding and using different synonyms for your core concepts in your search, you increase your chances for finding more material on your topic.

Here's what it would look like to find the synonyms for the three core concepts in our example:

Social Media: social network, social networks, social networking, Facebook, Twitter, Instagram, Snapchat, Tumblr

Youth: young adult, young adults, teen, teens, teenager, teenagers, adolescent, adolescents, adolescence

Vote: voting, voter, voters, political, politics

Step four - Apply truncation

Now you have all these different words to express your core concepts, which is great. But it will be a real pain to type out five or six different ways to say the same word each time you do a search, right? Well, you're in luck! There is a technique called "truncation" that will save you time and effort when performing searches.

To use truncation, start by identifying the common "root" for your synonyms. This is the word, or even just part of a word , that many of your synonyms have in common. For example, from the synonyms we found above:

social network, social networking = social network

young adult, young adults = young adult

teen, teenage, teenager, teens, teenagers = teen

adolescence, adolescent, adolescents = adolescen

vote, voter, voters, voting = vot

political, politics = politic

"vote," "voter" and "voting" in the above list all share the same root as "vot." Everything that comes after the "t" is really just a matter of variations in spelling.

In some case, a word just won't have a "root", or maybe that "root" is actually the entire word. For example, from the synonyms we found above:

social media = social media

Facebook = Facebook

youth = youth

There's just no other way to say "youth" that means a teenager. While "Youthful," shares the same root with "Youth", it doesn't mean the same thing. The same goes for "social media." Finally, because "Facebook" is a proper name of a specific thing, you don't truncate it, either. This would apply to the name of any specific social media site.

Once you've identified your root words, you can apply what is called the truncation symbol , which is a special character that computers recoqnize as telling them "find me any word that starts with this root, no matter what the ending." By applying this special symbol, you can type just the root word into a database and it will retrieve all the variations in spelling for that word, doing some of your work for you. Most of the time, the truncation symbol is a " * ", although it can sometimes be a " $ " or a " ? ". Most databases will tell you which symbol to use.

For our example words, the roots with their truncation symbols would look like this:

social network*

social media

young adult*

Note that, because there's no other way to say "youth," "social media," or "Facebook we've left off the truncation symbols. If we put a "*" at the end, the computer would find references to words like "Youthful," or "social mediation," which we don't really apply to our topic.

Step five - Use Boolean operators and nesting

Now that you have your list of truncated terms, it's time to put them all together into a search phrase. To do this, you'll need to use two techniques: Boolean operators and nesting .

Boolean operators are three words that computers identify as having special functions when searching. These words are:

• AND - Putting "and" between two words tells the computer to give you all the results in a database that use both of those words. Use it whenever you need to combine two or more concepts.
• OR - Putting "or" between two words tells the computer to give you all the results in a database that use at least one of the words, as well as results that use both. Use it whenever you need to list synonyms for the same concept.
• NOT - Putting "not" before a word tells the computer to eliminate any result that uses the following word from the list of results. It is the trickiest of the three Boolean operators and the one that you will likely use least often. Only use it when you receive a large amount of off-topic results as a way to get rid of the off-topic entries.

Nesting is the technique of using multiple search boxes to control the way a search is run. By combining multiple search boxes together, you force the computer to do a series of mini-searches and combine the results of those mini-searches to create the results for your final search. It's similar to brackets in a mathematical equation. To solve an equation with brackets, you have to do the calculations inside of the bracket before you can complete what is outside the bracket. Nesting is asking the computer to do the same thing with your search.

If we apply Boolean operators and nesting to our example list of truncated terms, we'll get something that looks like this:

social media OR social network* OR Facebook OR Twitter OR Instagram OR Snapchat OR Tumblr

AND Young adult* OR youth OR teen* OR adolescen*

AND vot* OR politic*

In the above example, we've used "or" to combine "social media," "social network*," "Facebook," "Twitter," "Instagram," "Snapchat," and "Tumblr" in one search box (represented here by a black rectangle), used "or" again to combine "young adult*," "youth," "teen*" and "adolescen*" in a second search box. and used "or" again to combine "vot*," and "politic*" in a third search box. This creates three mini-searches, one that will find any result that uses any of the different ways to say "social media," one that will find any result that uses any of the different ways to say "youth," and one that will find any result that uses any of the different ways to say "vote." Finally, we combine the three boxes with "and," so that the final search will find any result that makes reference to at least one of the ways to say "social media," at least one of the ways to say "youth" and at least one of the ways to say "vote." By doing all of this, we've maximized our chances at getting a solid set of on-topic sources to work with.

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How to Write a Research Plan

Your answers to these questions form your research strategy. Most likely, you’ve addressed some of these issues in your proposal. But you are further along now, and you can flesh out your answers. With your instructor’s help, you should make some basic decisions about what information to collect and what methods to use in analyzing it. You will probably develop this research strategy gradually and, if you are like the rest of us, you will make some changes, large and small, along the way. Still, it is useful to devise a general plan early, even though you will modify it as you progress. Develop a tentative research plan early in the project. Write it down and share it with your instructor. The more concrete and detailed the plan, the better the feedback you’ll get.

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This research plan does not need to be elaborate or time-consuming. Like your working bibliography, it is provisional, a work in progress. Still, it is helpful to write it down since it will clarify a number of issues for you and your professor.

Writing a Research Plan

To write out your research plan, begin by restating your main thesis question and any secondary ones. They may have changed a bit since your original proposal. If these questions bear on a particular theory or analytic perspective, state that briefly. In the social sciences, for example, two or three prominent theories might offer different predictions about your subject. If so, then you might want to explore these differences in your thesis and explain why some theories work better (or worse) in this particular case. Likewise, in the humanities, you might consider how different theories offer different insights and contrasting perspectives on the particular novel or film you are studying. If you intend to explore these differences, state your goal clearly in the research plan so you can discuss it later with your professor. Next, turn to the heart of this exercise, your proposed research strategy. Try to explain your basic approach, the materials you will use, and your method of analysis. You may not know all of these elements yet, but do the best you can. Briefly say how and why you think they will help answer your main questions.

Be concrete. What data will you collect? Which poems will you read? Which paintings will you compare? Which historical cases will you examine? If you plan to use case studies, say whether you have already selected them or settled on the criteria for choosing them. Have you decided which documents and secondary sources are most important? Do you have easy access to the data, documents, or other materials you need? Are they reliable sources—the best information you can get on the subject? Give the answers if you have them, or say plainly that you don’t know so your instructor can help. You should also discuss whether your research requires any special skills and, of course, whether you have them. You can—and should—tailor your work to fit your skills.

If you expect to challenge other approaches—an important element of some theses—which ones will you take on, and why? This last point can be put another way: Your project will be informed by some theoretical traditions and research perspectives and not others. Your research will be stronger if you clarify your own perspective and show how it usefully informs your work. Later, you may also enter the jousts and explain why your approach is superior to the alternatives, in this particular study and perhaps more generally. Your research plan should state these issues clearly so you can discuss them candidly and think them through.

If you plan to conduct tests, experiments, or surveys, discuss them, too. They are common research tools in many fields, from psychology and education to public health. Now is the time to spell out the details—the ones you have nailed down tight and the ones that are still rattling around, unresolved. It’s important to bring up the right questions here, even if you don’t have all the answers yet. Raising these questions directly is the best way to get the answers. What kinds of tests or experiments do you plan, and how will you measure the results? How will you recruit your test subjects, and how many will be included in your sample? What test instruments or observational techniques will you use? How reliable and valid are they? Your instructor can be a great source of feedback here.

Your research plan should say:

• What materials you will use
• What methods you will use to investigate them
• Whether your work follow a particular approach or theory

There are also ethical issues to consider. They crop up in any research involving humans or animals. You need to think carefully about them, underscore potential problems, and discuss them with your professor. You also need to clear this research in advance with the appropriate authorities at your school, such as the committee that reviews proposals for research on human subjects.

Not all these issues and questions will bear on your particular project. But some do, and you should wrestle with them as you begin research. Even if your answers are tentative, you will still gain from writing them down and sharing them with your instructor. That’s how you will get the most comprehensive advice, the most pointed recommendations. If some of these issues puzzle you, or if you have already encountered some obstacles, share them, too, so you can either resolve the problems or find ways to work around them.

Remember, your research plan is simply a working product, designed to guide your ongoing inquiry. It’s not a final paper for a grade; it’s a step toward your final paper. Your goal in sketching it out now is to understand these issues better and get feedback from faculty early in the project. It may be a pain to write it out, but it’s a minor sting compared to major surgery later.

Checklist for Conducting Research

• Familiarize yourself with major questions and debates about your topic.
• Is appropriate to your topic;
• Addresses the main questions you propose in your thesis;
• Relies on materials to which you have access;
• Can be accomplished within the time available;
• Uses skills you have or can acquire.
• Divide your topic into smaller projects and do research on each in turn.
• Write informally as you do research; do not postpone this prewriting until all your research is complete.

Back to How To Write A Research Paper .

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Key Steps in the Research Process - A Comprehensive Guide

Embarking on a research journey can be both thrilling and challenging. Whether you're a student, journalist, or simply inquisitive about a subject, grasping the research process steps is vital for conducting thorough and efficient research. In this all-encompassing guide, we'll navigate you through the pivotal stages of what is the research process, from pinpointing your topic to showcasing your discoveries.

We'll delve into how to formulate a robust research question, undertake preliminary research, and devise a structured research plan. You'll acquire strategies for gathering and scrutinizing data, along with advice for effectively disseminating your findings. By adhering to these steps in the research process, you'll be fully prepared to confront any research endeavor that presents itself.

Step 1: Identify and Develop Your Topic

Identifying and cultivating a research topic is the foundational first step in the research process. Kick off by brainstorming potential subjects that captivate your interest, as this will fuel your enthusiasm throughout the endeavor. 

Employ the following tactics to spark ideas and understand what is the first step in the research process:

• Review course materials, lecture notes, and assigned readings for inspiration
• Engage in discussions with peers, professors, or experts in the field
• Investigate current events, news pieces, or social media trends pertinent to your field of study to uncover valuable market research insights.
• Reflect on personal experiences or observations that have sparked your curiosity

Once you've compiled a roster of possible topics, engage in preliminary research to evaluate the viability and breadth of each concept. This initial probe may encompass various research steps and procedures to ensure a comprehensive understanding of the topics at hand.

• Scanning Wikipedia articles or other general reference sources for an overview
• Searching for scholarly articles, books, or media related to your topic
• Identifying key concepts, theories, or debates within the field
• Considering the availability of primary sources or data for analysis

While amassing background knowledge, begin to concentrate your focus and hone your topic. Target a subject that is specific enough to be feasible within your project's limits, yet expansive enough to permit substantial analysis. Mull over the following inquiries to steer your topic refinement and address the research problem effectively:

• What aspect of the topic am I most interested in exploring?
• What questions or problems related to this topic remain unanswered or unresolved?
• How can I contribute new insights or perspectives to the existing body of knowledge?
• What resources and methods will I need to investigate this topic effectively?

Step 2: Conduct Preliminary Research

Having pinpointed a promising research topic, it's time to plunge into preliminary research. This essential phase enables you to deepen your grasp of the subject and evaluate the practicality of your project. Here are some pivotal tactics for executing effective preliminary research using various library resources:

• Literature Review

To effectively embark on your scholarly journey, it's essential to consult a broad spectrum of sources, thereby enriching your understanding with the breadth of academic research available on your topic. This exploration may encompass a variety of materials.

• Online catalogs of libraries (local, regional, national, and special)
• Meta-catalogs and subject-specific online article databases
• Digital institutional repositories and open access resources
• Works cited in scholarly books and articles
• Print bibliographies and internet sources
• Websites of major nonprofit organizations, research institutes, museums, universities, and government agencies
• Trade and scholarly publishers
• Discussions with fellow scholars and peers
• Identify Key Debates

Engaging with the wealth of recently published materials and seminal works in your field is a pivotal part of the research process definition. Focus on discerning the core ideas, debates, and arguments that define your topic, which will in turn sharpen your research focus and guide you toward formulating pertinent research questions.

• Narrow Your Focus

Hone your topic by leveraging your initial findings to tackle a specific issue or facet within the larger subject, a fundamental step in the research process steps. Consider various factors that could influence the direction and scope of your inquiry.

• Subtopics and specific issues
• Key debates and controversies
• Timeframes and geographical locations
• Organizations or groups of people involved

A thorough evaluation of existing literature and a comprehensive assessment of the information at hand will pinpoint the exact dimensions of the issue you aim to explore. This methodology ensures alignment with prior research, optimizes resources, and can bolster your case when seeking research funding by demonstrating a well-founded approach.

Step 3: Establish Your Research Question

Having completed your preliminary research and topic refinement, the next vital phase involves formulating a precise and focused research question. This question, a cornerstone among research process steps, will steer your investigation, keeping it aligned with relevant data and insights. When devising your research question, take into account these critical factors:

Initiate your inquiry by defining the requirements and goals of your study, a key step in the research process steps. Whether you're testing a hypothesis, analyzing data, or constructing and supporting an argument, grasping the intent of your research is crucial for framing your question effectively.

Ensure that your research question is feasible, given your constraints in time and word count, an important consideration in the research process steps. Steer clear of questions that are either too expansive or too constricted, as they may impede your capacity to conduct a comprehensive analysis.

Your research question should transcend a mere 'yes' or 'no' response, prompting a thorough engagement with the research process steps. It should foster a comprehensive exploration of the topic, facilitating the analysis of issues or problems beyond just a basic description.

• Researchability

Ensure that your research question opens the door to quality research materials, including academic books and refereed journal articles. It's essential to weigh the accessibility of primary data and secondary data that will bolster your investigative efforts.

When establishing your research question, take the following steps:

• Identify the specific aspect of your general topic that you want to explore
• Hypothesize the path your answer might take, developing a hypothesis after formulating the question
• Steer clear of certain types of questions in your research process steps, such as those that are deceptively simple, fictional, stacked, semantic, impossible-to-answer, opinion or ethical, and anachronistic, to maintain the integrity of your inquiry.
• Conduct a self-test on your research question to confirm it adheres to the research process steps, ensuring it is flexible, testable, clear, precise, and underscores a distinct reason for its importance.

By meticulously formulating your research question, you're establishing a solid groundwork for the subsequent research process steps, guaranteeing that your efforts are directed, efficient, and yield productive outcomes.

Step 4: Develop a Research Plan

Having formulated a precise research question, the ensuing phase involves developing a detailed research plan. This plan, integral to the research process steps, acts as a navigational guide for your project, keeping you organized, concentrated, and on a clear path to accomplishing your research objectives. When devising your research plan, consider these pivotal components:

• Project Goals and Objectives

Articulate the specific aims and objectives of your research project with clarity. These should be in harmony with your research question and provide a structured framework for your investigation, ultimately aligning with your overarching business goals.

• Research Methods

Select the most appropriate research tools and statistical methods to address your question effectively. This may include a variety of qualitative and quantitative approaches to ensure comprehensive analysis.

• Quantitative methods (e.g., surveys, experiments)
• Qualitative methods (e.g., interviews, focus groups)
• Mixed methods (combining quantitative and qualitative approaches)
• Access to databases, archives, or special collections
• Specialized equipment or software
• Funding for travel, materials, or participant compensation
• Assistance from research assistants, librarians, or subject matter experts
• Participant Recruitment

If your research involves human subjects, develop a strategic plan for recruiting participants. Consider factors such as the inclusion of diverse ethnic groups and the use of user interviews to gather rich, qualitative data.

• Target population and sample size
• Inclusion and exclusion criteria
• Recruitment strategies (e.g., flyers, social media, snowball sampling)
• Informed consent procedures
• Instruments or tools for gathering data (e.g., questionnaires, interview guides)
• Data storage and management protocols
• Statistical or qualitative analysis techniques
• Software or tools for data analysis (e.g., SPSS, NVivo)

Create a realistic project strategy for your research project, breaking it down into manageable stages or milestones. Consider factors such as resource availability and potential bottlenecks.

• Literature review and background research
• IRB approval (if applicable)
• Participant recruitment and data collection
• Data analysis and interpretation
• Writing and revising your findings
• Dissemination of results (e.g., presentations, publications)

By developing a comprehensive research plan, incorporating key research process steps, you'll be better equipped to anticipate challenges, allocate resources effectively, and ensure the integrity and rigor of your research process. Remember to remain flexible and adaptable to navigate unexpected obstacles or opportunities that may arise.

Step 5: Conduct the Research

With your research plan in place, it's time to dive into the data collection phase. As you conduct your research, adhere to the established research process steps to ensure the integrity and quality of your findings.

Conduct your research in accordance with federal regulations, state laws, institutional SOPs, and policies. Familiarize yourself with the IRB-approved protocol and follow it diligently, as part of the essential research process steps.

• Roles and Responsibilities

Understand and adhere to the roles and responsibilities of the principal investigator and other research team members. Maintain open communication lines with all stakeholders, including the sponsor and IRB, to foster cross-functional collaboration.

• Data Management

Develop and maintain an effective system for data collection and storage, utilizing advanced research tools. Ensure that each member of the research team has seamless access to the most up-to-date documents, including the informed consent document, protocol, and case report forms.

• Quality Assurance

Implement comprehensive quality assurance measures to verify that the study adheres strictly to the IRB-approved protocol, institutional policy, and all required regulations. Confirm that all study activities are executed as planned and that any deviations are addressed with precision and appropriateness.

• Participant Eligibility

As part of the essential research process steps, verify that potential study subjects meet all eligibility criteria and none of the ineligibility criteria before advancing with the research.

To maintain the highest standards of academic integrity and ethical conduct:

• Conduct research with unwavering honesty in all facets, including experimental design, data generation, and analysis, as well as the publication of results, as these are critical research process steps.
• Maintain a climate conducive to conducting research in strict accordance with good research practices, ensuring each step of the research process is meticulously observed.
• Provide appropriate supervision and training for researchers.
• Encourage open discussion of ideas and the widest dissemination of results possible.
• Keep clear and accurate records of research methods and results.
• Exercise a duty of care to all those involved in the research.

When collecting and assimilating data:

• Use professional online data analysis tools to streamline the process.
• Use metadata for context
• Assign codes or labels to facilitate grouping or comparison
• Convert data into different formats or scales for compatibility
• Organize documents in both the study participant and investigator's study regulatory files, creating a central repository for easy access and reference, as this organization is a pivotal step in the research process.

By adhering to these guidelines and upholding a commitment to ethical and rigorous research practices, you'll be well-equipped to conduct your research effectively and contribute meaningful insights to your field of study, thereby enhancing the integrity of the research process steps.

Step 6: Analyze and Interpret Data

Embarking on the research process steps, once you have gathered your research data, the subsequent critical phase is to delve into analysis and interpretation. This stage demands a meticulous examination of the data, spotting trends, and forging insightful conclusions that directly respond to your research question. Reflect on these tactics for a robust approach to data analysis and interpretation:

• Organize and Clean Your Data

A pivotal aspect of the research process steps is to start by structuring your data in an orderly and coherent fashion. This organizational task may encompass:

• Creating a spreadsheet or database to store your data
• Assigning codes or labels to facilitate grouping or comparison
• Cleaning the data by removing any errors, inconsistencies, or missing values
• Converting data into different formats or scales for compatibility
• Calculating measures of central tendency (mean, median, mode)
• Determining measures of variability (range, standard deviation)
• Creating frequency tables or histograms to visualize the distribution of your data
• Identifying any outliers or unusual patterns in your data
• Perform Inferential Analysis

Integral to the research process steps, you might engage in inferential analysis to evaluate hypotheses or extrapolate findings to a broader demographic, contingent on your research design and query. This analytical step may include:

• Selecting appropriate statistical tests (e.g., t-tests, ANOVA, regression analysis)
• As part of the research process steps, establishing a significance threshold (e.g., p < 0.05) is essential to gauge the likelihood of your results being a random occurrence rather than a significant finding.
• Interpreting the results of your statistical tests in the context of your research question
• Considering the practical significance of your findings, in addition to statistical significance

When interpreting your data, it's essential to:

• Look for relationships, patterns, and trends in your data
• Consider alternative explanations for your findings
• Acknowledge any limitations or potential biases in your research design or data collection
• Leverage data visualization techniques such as graphs, charts, and infographics to articulate your research findings with clarity and impact, thereby enhancing the communicative value of your data.
• Seek feedback from peers, mentors, or subject matter experts to validate your interpretations

It's important to recognize that data interpretation is a cyclical process that hinges on critical thinking, inventiveness, and the readiness to refine your conclusions with emerging insights. By tackling data analysis and interpretation with diligence and openness, you're setting the stage to derive meaningful and justifiable inferences from your research, in line with the research process steps.

Step 7: Present the Findings

After meticulous analysis and interpretation of your research findings, as dictated by the research process steps, the moment arrives to disseminate your insights. Effectively presenting your research is key to captivating your audience and conveying the importance of your findings. Employ these strategies to create an engaging and persuasive presentation:

• Organize Your Findings : 

Use the PEEL method to structure your presentation:

• Point: Clearly state your main argument or finding
• Evidence: Present the data and analysis that support your point
• Explanation: Provide context and interpret the significance of your evidence
• Link: Connect your findings to the broader research question or field
• Tailor Your Message

Understanding your audience is crucial to effective communication. When presenting your research, it's important to tailor your message to their background, interests, and level of expertise, effectively employing user personas to guide your approach.

• Use clear, concise language and explain technical terms
• Highlight what makes your research unique and impactful
• Craft a compelling narrative with a clear structure and hook
• Share the big picture, emphasizing the significance of your findings
• Engage Your Audience : Make your presentation enjoyable and memorable by incorporating creative elements:
• Use visual aids, such as tables, charts, and graphs, to communicate your findings effectively
• To vividly convey your research journey, consider employing storytelling techniques, such as UX comics or storyboards, which can make complex information more accessible and engaging.
• Injecting humor and personality into your presentation can be a powerful tool for communication. Utilize funny messages or GIFs to lighten the mood, breaking up tension and refocusing attention, thereby enhancing the effectiveness of humor in communication.

By adhering to these strategies, you'll be well-prepared to present your research findings in a manner that's both clear and captivating. Ensure you follow research process steps such as citing your sources accurately and discussing the broader implications of your work, providing actionable recommendations, and delineating the subsequent phases for integrating your findings into broader practice or policy frameworks.

The research process is an intricate journey that demands meticulous planning, steadfast execution, and incisive analysis. By adhering to the fundamental research process steps outlined in this guide, from pinpointing your topic to showcasing your findings, you're setting yourself up for conducting research that's both effective and influential. Keep in mind that the research journey is iterative, often necessitating revisits to certain stages as fresh insights surface or unforeseen challenges emerge.

As you commence your research journey, seize the chance to contribute novel insights to your field and forge a positive global impact. By tackling your research with curiosity, integrity, and a dedication to excellence, you're paving the way towards attaining your research aspirations and making a substantial difference with your work, all while following the critical research process steps.

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• Knowledge Base
• Methodology

Research Design | Step-by-Step Guide with Examples

Published on 5 May 2022 by Shona McCombes . Revised on 20 March 2023.

A research design is a strategy for answering your research question  using empirical data. Creating a research design means making decisions about:

• Your overall aims and approach
• The type of research design you’ll use
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, frequently asked questions.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities – start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

Prevent plagiarism, run a free check.

Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types. Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships, while descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends, and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analysing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study – plants, animals, organisations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region, or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalise your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study, your aim is to deeply understand a specific context, not to generalise to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question.

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews.

Observation methods

Observations allow you to collect data unobtrusively, observing characteristics, behaviours, or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected – for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.

Operationalisation

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalisation means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in – for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced , while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method, you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample – by mail, online, by phone, or in person?

If you’re using a probability sampling method, it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method, how will you avoid bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organising and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymise and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well organised will save time when it comes to analysing them. It can also help other researchers validate and add to your findings.

On their own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyse the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarise your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarise your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analysing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
• If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

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How To Write A Research Proposal

A Straightforward How-To Guide (With Examples)

By: Derek Jansen (MBA) | Reviewed By: Dr. Eunice Rautenbach | August 2019 (Updated April 2023)

Writing up a strong research proposal for a dissertation or thesis is much like a marriage proposal. It’s a task that calls on you to win somebody over and persuade them that what you’re planning is a great idea. An idea they’re happy to say ‘yes’ to. This means that your dissertation proposal needs to be   persuasive ,   attractive   and well-planned. In this post, I’ll show you how to write a winning dissertation proposal, from scratch.

Before you start:

– Understand exactly what a research proposal is – Ask yourself these 4 questions

The 5 essential ingredients:

• The title/topic
• The introduction chapter
• The scope/delimitations
• Preliminary literature review
• Design/ methodology
• Practical considerations and risks 

What Is A Research Proposal?

The research proposal is literally that: a written document that communicates what you propose to research, in a concise format. It’s where you put all that stuff that’s spinning around in your head down on to paper, in a logical, convincing fashion.

Convincing   is the keyword here, as your research proposal needs to convince the assessor that your research is   clearly articulated   (i.e., a clear research question) ,   worth doing   (i.e., is unique and valuable enough to justify the effort), and   doable   within the restrictions you’ll face (time limits, budget, skill limits, etc.). If your proposal does not address these three criteria, your research won’t be approved, no matter how “exciting” the research idea might be.

PS – if you’re completely new to proposal writing, we’ve got a detailed walkthrough video covering two successful research proposals here . 

How do I know I’m ready?

Before starting the writing process, you need to   ask yourself 4 important questions .  If you can’t answer them succinctly and confidently, you’re not ready – you need to go back and think more deeply about your dissertation topic .

You should be able to answer the following 4 questions before starting your dissertation or thesis research proposal:

• WHAT is my main research question? (the topic)
• WHO cares and why is this important? (the justification)
• WHAT data would I need to answer this question, and how will I analyse it? (the research design)
• HOW will I manage the completion of this research, within the given timelines? (project and risk management)

If you can’t answer these questions clearly and concisely,   you’re not yet ready   to write your research proposal – revisit our   post on choosing a topic .

If you can, that’s great – it’s time to start writing up your dissertation proposal. Next, I’ll discuss what needs to go into your research proposal, and how to structure it all into an intuitive, convincing document with a linear narrative.

The 5 Essential Ingredients

Research proposals can vary in style between institutions and disciplines, but here I’ll share with you a   handy 5-section structure   you can use. These 5 sections directly address the core questions we spoke about earlier, ensuring that you present a convincing proposal. If your institution already provides a proposal template, there will likely be substantial overlap with this, so you’ll still get value from reading on.

For each section discussed below, make sure you use headers and sub-headers (ideally, numbered headers) to help the reader navigate through your document, and to support them when they need to revisit a previous section. Don’t just present an endless wall of text, paragraph after paragraph after paragraph…

Top Tip:   Use MS Word Styles to format headings. This will allow you to be clear about whether a sub-heading is level 2, 3, or 4. Additionally, you can view your document in ‘outline view’ which will show you only your headings. This makes it much easier to check your structure, shift things around and make decisions about where a section needs to sit. You can also generate a 100% accurate table of contents using Word’s automatic functionality.

Ingredient #1 – Topic/Title Header

Your research proposal’s title should be your main research question in its simplest form, possibly with a sub-heading providing basic details on the specifics of the study. For example:

“Compliance with equality legislation in the charity sector: a study of the ‘reasonable adjustments’ made in three London care homes”

As you can see, this title provides a clear indication of what the research is about, in broad terms. It paints a high-level picture for the first-time reader, which gives them a taste of what to expect.   Always aim for a clear, concise title . Don’t feel the need to capture every detail of your research in your title – your proposal will fill in the gaps.

Need a helping hand?

Ingredient #2 – Introduction

In this section of your research proposal, you’ll expand on what you’ve communicated in the title, by providing a few paragraphs which offer more detail about your research topic. Importantly, the focus here is the   topic   – what will you research and why is that worth researching? This is not the place to discuss methodology, practicalities, etc. – you’ll do that later.

You should cover the following:

• An overview of the   broad area   you’ll be researching – introduce the reader to key concepts and language
• An explanation of the   specific (narrower) area   you’ll be focusing, and why you’ll be focusing there
• Your research   aims   and   objectives
• Your   research question (s) and sub-questions (if applicable)

Importantly, you should aim to use short sentences and plain language – don’t babble on with extensive jargon, acronyms and complex language. Assume that the reader is an intelligent layman – not a subject area specialist (even if they are). Remember that the   best writing is writing that can be easily understood   and digested. Keep it simple.

Note that some universities may want some extra bits and pieces in your introduction section. For example, personal development objectives, a structural outline, etc. Check your brief to see if there are any other details they expect in your proposal, and make sure you find a place for these.

Ingredient #3 – Scope

Next, you’ll need to specify what the scope of your research will be – this is also known as the delimitations . In other words, you need to make it clear what you will be covering and, more importantly, what you won’t be covering in your research. Simply put, this is about ring fencing your research topic so that you have a laser-sharp focus.

All too often, students feel the need to go broad and try to address as many issues as possible, in the interest of producing comprehensive research. Whilst this is admirable, it’s a mistake. By tightly refining your scope, you’ll enable yourself to   go deep   with your research, which is what you need to earn good marks. If your scope is too broad, you’re likely going to land up with superficial research (which won’t earn marks), so don’t be afraid to narrow things down.

Ingredient #4 – Literature Review

In this section of your research proposal, you need to provide a (relatively) brief discussion of the existing literature. Naturally, this will not be as comprehensive as the literature review in your actual dissertation, but it will lay the foundation for that. In fact, if you put in the effort at this stage, you’ll make your life a lot easier when it’s time to write your actual literature review chapter.

There are a few things you need to achieve in this section:

• Demonstrate that you’ve done your reading and are   familiar with the current state of the research   in your topic area.
• Show that   there’s a clear gap   for your specific research – i.e., show that your topic is sufficiently unique and will add value to the existing research.
• Show how the existing research has shaped your thinking regarding   research design . For example, you might use scales or questionnaires from previous studies.

When you write up your literature review, keep these three objectives front of mind, especially number two (revealing the gap in the literature), so that your literature review has a   clear purpose and direction . Everything you write should be contributing towards one (or more) of these objectives in some way. If it doesn’t, you need to ask yourself whether it’s truly needed.

Top Tip:  Don’t fall into the trap of just describing the main pieces of literature, for example, “A says this, B says that, C also says that…” and so on. Merely describing the literature provides no value. Instead, you need to   synthesise   it, and use it to address the three objectives above.

Ingredient #5 – Research Methodology

Now that you’ve clearly explained both your intended research topic (in the introduction) and the existing research it will draw on (in the literature review section), it’s time to get practical and explain exactly how you’ll be carrying out your own research. In other words, your research methodology.

In this section, you’ll need to   answer two critical questions :

• How   will you design your research? I.e., what research methodology will you adopt, what will your sample be, how will you collect data, etc.
• Why   have you chosen this design? I.e., why does this approach suit your specific research aims, objectives and questions?

In other words, this is not just about explaining WHAT you’ll be doing, it’s also about explaining WHY. In fact, the   justification is the most important part , because that justification is how you demonstrate a good understanding of research design (which is what assessors want to see).

Some essential design choices you need to cover in your research proposal include:

• Your intended research philosophy (e.g., positivism, interpretivism or pragmatism )
• What methodological approach you’ll be taking (e.g., qualitative , quantitative or mixed )
• The details of your sample (e.g., sample size, who they are, who they represent, etc.)
• What data you plan to collect (i.e. data about what, in what form?)
• How you plan to collect it (e.g., surveys , interviews , focus groups, etc.)
• How you plan to analyse it (e.g., regression analysis, thematic analysis , etc.)
• Ethical adherence (i.e., does this research satisfy all ethical requirements of your institution, or does it need further approval?)

This list is not exhaustive – these are just some core attributes of research design. Check with your institution what level of detail they expect. The “ research onion ” by Saunders et al (2009) provides a good summary of the various design choices you ultimately need to make – you can   read more about that here .

Don’t forget the practicalities…

In addition to the technical aspects, you will need to address the   practical   side of the project. In other words, you need to explain   what resources you’ll need   (e.g., time, money, access to equipment or software, etc.) and how you intend to secure these resources. You need to show that your project is feasible, so any “make or break” type resources need to already be secured. The success or failure of your project cannot depend on some resource which you’re not yet sure you have access to.

Another part of the practicalities discussion is   project and risk management . In other words, you need to show that you have a clear project plan to tackle your research with. Some key questions to address:

• What are the timelines for each phase of your project?
• Are the time allocations reasonable?
• What happens if something takes longer than anticipated (risk management)?
• What happens if you don’t get the response rate you expect?

A good way to demonstrate that you’ve thought this through is to include a Gantt chart and a risk register (in the appendix if word count is a problem). With these two tools, you can show that you’ve got a clear, feasible plan, and you’ve thought about and accounted for the potential risks.

Tip – Be honest about the potential difficulties – but show that you are anticipating solutions and workarounds. This is much more impressive to an assessor than an unrealistically optimistic proposal which does not anticipate any challenges whatsoever.

Final Touches: Read And Simplify

The final step is to edit and proofread your proposal – very carefully. It sounds obvious, but all too often poor editing and proofreading ruin a good proposal. Nothing is more off-putting for an assessor than a poorly edited, typo-strewn document. It sends the message that you either do not pay attention to detail, or just don’t care. Neither of these are good messages. Put the effort into editing and proofreading your proposal (or pay someone to do it for you) – it will pay dividends.

When you’re editing, watch out for ‘academese’. Many students can speak simply, passionately and clearly about their dissertation topic – but become incomprehensible the moment they turn the laptop on. You are not required to write in any kind of special, formal, complex language when you write academic work. Sure, there may be technical terms, jargon specific to your discipline, shorthand terms and so on. But, apart from those,   keep your written language very close to natural spoken language   – just as you would speak in the classroom. Imagine that you are explaining your project plans to your classmates or a family member. Remember, write for the intelligent layman, not the subject matter experts. Plain-language, concise writing is what wins hearts and minds – and marks!

Let’s Recap: Research Proposal 101

And there you have it – how to write your dissertation or thesis research proposal, from the title page to the final proof. Here’s a quick recap of the key takeaways:

• The purpose of the research proposal is to   convince   – therefore, you need to make a clear, concise argument of why your research is both worth doing and doable.
• Make sure you can ask the critical what, who, and how questions of your research   before   you put pen to paper.
• Title – provides the first taste of your research, in broad terms
• Introduction – explains what you’ll be researching in more detail
• Scope – explains the boundaries of your research
• Literature review – explains how your research fits into the existing research and why it’s unique and valuable
• Research methodology – explains and justifies how you will carry out your own research

Hopefully, this post has helped you better understand how to write up a winning research proposal. If you enjoyed it, be sure to check out the rest of the Grad Coach Blog . If your university doesn’t provide any template for your proposal, you might want to try out our free research proposal template .

Psst… there’s more!

This post is an extract from our bestselling short course, Research Proposal Bootcamp . If you want to work smart, you don't want to miss this .

30 Comments

Thank you so much for the valuable insight that you have given, especially on the research proposal. That is what I have managed to cover. I still need to go back to the other parts as I got disturbed while still listening to Derek’s audio on you-tube. I am inspired. I will definitely continue with Grad-coach guidance on You-tube.

Thanks for the kind words :). All the best with your proposal.

First of all, thanks a lot for making such a wonderful presentation. The video was really useful and gave me a very clear insight of how a research proposal has to be written. I shall try implementing these ideas in my RP.

Once again, I thank you for this content.

I found reading your outline on writing research proposal very beneficial. I wish there was a way of submitting my draft proposal to you guys for critiquing before I submit to the institution.

Hi Bonginkosi

Thank you for the kind words. Yes, we do provide a review service. The best starting point is to have a chat with one of our coaches here: https://gradcoach.com/book/new/ .

Hello team GRADCOACH, may God bless you so much. I was totally green in research. Am so happy for your free superb tutorials and resources. Once again thank you so much Derek and his team.

You’re welcome, Erick. Good luck with your research proposal 🙂

thank you for the information. its precise and on point.

Really a remarkable piece of writing and great source of guidance for the researchers. GOD BLESS YOU for your guidance. Regards

Thanks so much for your guidance. It is easy and comprehensive the way you explain the steps for a winning research proposal.

Thank you guys so much for the rich post. I enjoyed and learn from every word in it. My problem now is how to get into your platform wherein I can always seek help on things related to my research work ? Secondly, I wish to find out if there is a way I can send my tentative proposal to you guys for examination before I take to my supervisor Once again thanks very much for the insights

Thanks for your kind words, Desire.

If you are based in a country where Grad Coach’s paid services are available, you can book a consultation by clicking the “Book” button in the top right.

Best of luck with your studies.

May God bless you team for the wonderful work you are doing,

If I have a topic, Can I submit it to you so that you can draft a proposal for me?? As I am expecting to go for masters degree in the near future.

Thanks for your comment. We definitely cannot draft a proposal for you, as that would constitute academic misconduct. The proposal needs to be your own work. We can coach you through the process, but it needs to be your own work and your own writing.

Best of luck with your research!

I found a lot of many essential concepts from your material. it is real a road map to write a research proposal. so thanks a lot. If there is any update material on your hand on MBA please forward to me.

GradCoach is a professional website that presents support and helps for MBA student like me through the useful online information on the page and with my 1-on-1 online coaching with the amazing and professional PhD Kerryen.

Thank you Kerryen so much for the support and help 🙂

I really recommend dealing with such a reliable services provider like Gradcoah and a coach like Kerryen.

Hi, Am happy for your service and effort to help students and researchers, Please, i have been given an assignment on research for strategic development, the task one is to formulate a research proposal to support the strategic development of a business area, my issue here is how to go about it, especially the topic or title and introduction. Please, i would like to know if you could help me and how much is the charge.

This content is practical, valuable, and just great!

Thank you very much!

Hi Derek, Thank you for the valuable presentation. It is very helpful especially for beginners like me. I am just starting my PhD.

This is quite instructive and research proposal made simple. Can I have a research proposal template?

Great! Thanks for rescuing me, because I had no former knowledge in this topic. But with this piece of information, I am now secured. Thank you once more.

I enjoyed listening to your video on how to write a proposal. I think I will be able to write a winning proposal with your advice. I wish you were to be my supervisor.

Dear Derek Jansen,

Thank you for your great content. I couldn’t learn these topics in MBA, but now I learned from GradCoach. Really appreciate your efforts….

From Afghanistan!

I have got very essential inputs for startup of my dissertation proposal. Well organized properly communicated with video presentation. Thank you for the presentation.

Wow, this is absolutely amazing guys. Thank you so much for the fruitful presentation, you’ve made my research much easier.

this helps me a lot. thank you all so much for impacting in us. may god richly bless you all

How I wish I’d learn about Grad Coach earlier. I’ve been stumbling around writing and rewriting! Now I have concise clear directions on how to put this thing together. Thank you!

Fantastic!! Thank You for this very concise yet comprehensive guidance.

Even if I am poor in English I would like to thank you very much.

Thank you very much, this is very insightful.

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Illustration by James Round

How to plan a research project

Whether for a paper or a thesis, define your question, review the work of others – and leave yourself open to discovery.

by Brooke Harrington   + BIO

is professor of sociology at Dartmouth College in New Hampshire. Her research has won international awards both for scholarly quality and impact on public life. She has published dozens of articles and three books, most recently the bestseller Capital without Borders (2016), now translated into five languages.

Edited by Sam Haselby

Need to know

‘When curiosity turns to serious matters, it’s called research.’ – From Aphorisms (1880-1905) by Marie von Ebner-Eschenbach

Planning research projects is a time-honoured intellectual exercise: one that requires both creativity and sharp analytical skills. The purpose of this Guide is to make the process systematic and easy to understand. While there is a great deal of freedom and discovery involved – from the topics you choose, to the data and methods you apply – there are also some norms and constraints that obtain, no matter what your academic level or field of study. For those in high school through to doctoral students, and from art history to archaeology, research planning involves broadly similar steps, including: formulating a question, developing an argument or predictions based on previous research, then selecting the information needed to answer your question.

Some of this might sound self-evident but, as you’ll find, research requires a different way of approaching and using information than most of us are accustomed to in everyday life. That is why I include orienting yourself to knowledge-creation as an initial step in the process. This is a crucial and underappreciated phase in education, akin to making the transition from salaried employment to entrepreneurship: suddenly, you’re on your own, and that requires a new way of thinking about your work.

What follows is a distillation of what I’ve learned about this process over 27 years as a professional social scientist. It reflects the skills that my own professors imparted in the sociology doctoral programme at Harvard, as well as what I learned later on as a research supervisor for Ivy League PhD and MA students, and then as the author of award-winning scholarly books and articles. It can be adapted to the demands of both short projects (such as course term papers) and long ones, such as a thesis.

At its simplest, research planning involves the four distinct steps outlined below: orienting yourself to knowledge-creation; defining your research question; reviewing previous research on your question; and then choosing relevant data to formulate your own answers. Because the focus of this Guide is on planning a research project, as opposed to conducting a research project, this section won’t delve into the details of data-collection or analysis; those steps happen after you plan the project. In addition, the topic is vast: year-long doctoral courses are devoted to data and analysis. Instead, the fourth part of this section will outline some basic strategies you could use in planning a data-selection and analysis process appropriate to your research question.

Step 1: Orient yourself

Planning and conducting research requires you to make a transition, from thinking like a consumer of information to thinking like a producer of information. That sounds simple, but it’s actually a complex task. As a practical matter, this means putting aside the mindset of a student, which treats knowledge as something created by other people. As students, we are often passive receivers of knowledge: asked to do a specified set of readings, then graded on how well we reproduce what we’ve read.

Researchers, however, must take on an active role as knowledge producers . Doing research requires more of you than reading and absorbing what other people have written: you have to engage in a dialogue with it. That includes arguing with previous knowledge and perhaps trying to show that ideas we have accepted as given are actually wrong or incomplete. For example, rather than simply taking in the claims of an author you read, you’ll need to draw out the implications of those claims: if what the author is saying is true, what else does that suggest must be true? What predictions could you make based on the author’s claims?

In other words, rather than treating a reading as a source of truth – even if it comes from a revered source, such as Plato or Marie Curie – this orientation step asks you to treat the claims you read as provisional and subject to interrogation. That is one of the great pieces of wisdom that science and philosophy can teach us: that the biggest advances in human understanding have been made not by being correct about trivial things, but by being wrong in an interesting way . For example, Albert Einstein was wrong about quantum mechanics, but his arguments about it with his fellow physicist Niels Bohr have led to some of the biggest breakthroughs in science, even a century later.

Step 2: Define your research question

Students often give this step cursory attention, but experienced researchers know that formulating a good question is sometimes the most difficult part of the research planning process. That is because the precise language of the question frames the rest of the project. It’s therefore important to pose the question carefully, in a way that’s both possible to answer and likely to yield interesting results. Of course, you must choose a question that interests you, but that’s only the beginning of what’s likely to be an iterative process: most researchers come back to this step repeatedly, modifying their questions in light of previous research, resource limitations and other considerations.

Researchers face limits in terms of time and money. They, like everyone else, have to pose research questions that they can plausibly answer given the constraints they face. For example, it would be inadvisable to frame a project around the question ‘What are the roots of the Arab-Israeli conflict?’ if you have only a week to develop an answer and no background on that topic. That’s not to limit your imagination: you can come up with any question you’d like. But it typically does require some creativity to frame a question that you can answer well – that is, by investigating thoroughly and providing new insights – within the limits you face.

In addition to being interesting to you, and feasible within your resource constraints, the third and most important characteristic of a ‘good’ research topic is whether it allows you to create new knowledge. It might turn out that your question has already been asked and answered to your satisfaction: if so, you’ll find out in the next step of this process. On the other hand, you might come up with a research question that hasn’t been addressed previously. Before you get too excited about breaking uncharted ground, consider this: a lot of potentially researchable questions haven’t been studied for good reason ; they might have answers that are trivial or of very limited interest. This could include questions such as ‘Why does the area of a circle equal π r²?’ or ‘Did winter conditions affect Napoleon’s plans to invade Russia?’ Of course, you might be able to make the argument that a seemingly trivial question is actually vitally important, but you must be prepared to back that up with convincing evidence. The exercise in the ‘Learn More’ section below will help you think through some of these issues.

Finally, scholarly research questions must in some way lead to new and distinctive insights. For example, lots of people have studied gender roles in sports teams; what can you ask that hasn’t been asked before? Reinventing the wheel is the number-one no-no in this endeavour. That’s why the next step is so important: reviewing previous research on your topic. Depending on what you find in that step, you might need to revise your research question; iterating between your question and the existing literature is a normal process. But don’t worry: it doesn’t go on forever. In fact, the iterations taper off – and your research question stabilises – as you develop a firm grasp of the current state of knowledge on your topic.

Step 3: Review previous research

In academic research, from articles to books, it’s common to find a section called a ‘literature review’. The purpose of that section is to describe the state of the art in knowledge on the research question that a project has posed. It demonstrates that researchers have thoroughly and systematically reviewed the relevant findings of previous studies on their topic, and that they have something novel to contribute.

Your own research project should include something like this, even if it’s a high-school term paper. In the research planning process, you’ll want to list at least half a dozen bullet points stating the major findings on your topic by other people. In relation to those findings, you should be able to specify where your project could provide new and necessary insights. There are two basic rhetorical positions one can take in framing the novelty-plus-importance argument required of academic research:

• Position 1 requires you to build on or extend a set of existing ideas; that means saying something like: ‘Person A has argued that X is true about gender; this implies Y, which has not yet been tested. My project will test Y, and if I find evidence to support it, that will change the way we understand gender.’
• Position 2 is to argue that there is a gap in existing knowledge, either because previous research has reached conflicting conclusions or has failed to consider something important. For example, one could say that research on middle schoolers and gender has been limited by being conducted primarily in coeducational environments, and that findings might differ dramatically if research were conducted in more schools where the student body was all-male or all-female.

Your overall goal in this step of the process is to show that your research will be part of a larger conversation: that is, how your project flows from what’s already known, and how it advances, extends or challenges that existing body of knowledge. That will be the contribution of your project, and it constitutes the motivation for your research.

Two things are worth mentioning about your search for sources of relevant previous research. First, you needn’t look only at studies on your precise topic. For example, if you want to study gender-identity formation in schools, you shouldn’t restrict yourself to studies of schools; the empirical setting (schools) is secondary to the larger social process that interests you (how people form gender identity). That process occurs in many different settings, so cast a wide net. Second, be sure to use legitimate sources – meaning publications that have been through some sort of vetting process, whether that involves peer review (as with academic journal articles you might find via Google Scholar) or editorial review (as you’d find in well-known mass media publications, such as The Economist or The Washington Post ). What you’ll want to avoid is using unvetted sources such as personal blogs or Wikipedia. Why? Because anybody can write anything in those forums, and there is no way to know – unless you’re already an expert – if the claims you find there are accurate. Often, they’re not.

Step 4: Choose your data and methods

Whatever your research question is, eventually you’ll need to consider which data source and analytical strategy are most likely to provide the answers you’re seeking. One starting point is to consider whether your question would be best addressed by qualitative data (such as interviews, observations or historical records), quantitative data (such as surveys or census records) or some combination of both. Your ideas about data sources will, in turn, suggest options for analytical methods.

You might need to collect your own data, or you might find everything you need readily available in an existing dataset someone else has created. A great place to start is with a research librarian: university libraries always have them and, at public universities, those librarians can work with the public, including people who aren’t affiliated with the university. If you don’t happen to have a public university and its library close at hand, an ordinary public library can still be a good place to start: the librarians are often well versed in accessing data sources that might be relevant to your study, such as the census, or historical archives, or the Survey of Consumer Finances.

Because your task at this point is to plan research, rather than conduct it, the purpose of this step is not to commit you irrevocably to a course of action. Instead, your goal here is to think through a feasible approach to answering your research question. You’ll need to find out, for example, whether the data you want exist; if not, do you have a realistic chance of gathering the data yourself, or would it be better to modify your research question? In terms of analysis, would your strategy require you to apply statistical methods? If so, do you have those skills? If not, do you have time to learn them, or money to hire a research assistant to run the analysis for you?

Please be aware that qualitative methods in particular are not the casual undertaking they might appear to be. Many people make the mistake of thinking that only quantitative data and methods are scientific and systematic, while qualitative methods are just a fancy way of saying: ‘I talked to some people, read some old newspapers, and drew my own conclusions.’ Nothing could be further from the truth. In the final section of this guide, you’ll find some links to resources that will provide more insight on standards and procedures governing qualitative research, but suffice it to say: there are rules about what constitutes legitimate evidence and valid analytical procedure for qualitative data, just as there are for quantitative data.

Circle back and consider revising your initial plans

As you work through these four steps in planning your project, it’s perfectly normal to circle back and revise. Research planning is rarely a linear process. It’s also common for new and unexpected avenues to suggest themselves. As the sociologist Thorstein Veblen wrote in 1908 : ‘The outcome of any serious research can only be to make two questions grow where only one grew before.’ That’s as true of research planning as it is of a completed project. Try to enjoy the horizons that open up for you in this process, rather than becoming overwhelmed; the four steps, along with the two exercises that follow, will help you focus your plan and make it manageable.

Key points – How to plan a research project

• Planning a research project is essential no matter your academic level or field of study. There is no one ‘best’ way to design research, but there are certain guidelines that can be helpfully applied across disciplines.
• Orient yourself to knowledge-creation. Make the shift from being a consumer of information to being a producer of information.
• Define your research question. Your question frames the rest of your project, sets the scope, and determines the kinds of answers you can find.
• Review previous research on your question. Survey the existing body of relevant knowledge to ensure that your research will be part of a larger conversation.
• Choose your data and methods. For instance, will you be collecting qualitative data, via interviews, or numerical data, via surveys?
• Circle back and consider revising your initial plans. Expect your research question in particular to undergo multiple rounds of refinement as you learn more about your topic.

Good research questions tend to beget more questions. This can be frustrating for those who want to get down to business right away. Try to make room for the unexpected: this is usually how knowledge advances. Many of the most significant discoveries in human history have been made by people who were looking for something else entirely. There are ways to structure your research planning process without over-constraining yourself; the two exercises below are a start, and you can find further methods in the Links and Books section.

The following exercise provides a structured process for advancing your research project planning. After completing it, you’ll be able to do the following:

• describe clearly and concisely the question you’ve chosen to study
• summarise the state of the art in knowledge about the question, and where your project could contribute new insight
• identify the best strategy for gathering and analysing relevant data

In other words, the following provides a systematic means to establish the building blocks of your research project.

Exercise 1: Definition of research question and sources

This exercise prompts you to select and clarify your general interest area, develop a research question, and investigate sources of information. The annotated bibliography will also help you refine your research question so that you can begin the second assignment, a description of the phenomenon you wish to study.

Jot down a few bullet points in response to these two questions, with the understanding that you’ll probably go back and modify your answers as you begin reading other studies relevant to your topic:

• What will be the general topic of your paper?
• What will be the specific topic of your paper?

b) Research question(s)

Use the following guidelines to frame a research question – or questions – that will drive your analysis. As with Part 1 above, you’ll probably find it necessary to change or refine your research question(s) as you complete future assignments.

• Your question should be phrased so that it can’t be answered with a simple ‘yes’ or ‘no’.
• Your question should have more than one plausible answer.
• Your question should draw relationships between two or more concepts; framing the question in terms of How? or What? often works better than asking Why ?

c) Annotated bibliography

Most or all of your background information should come from two sources: scholarly books and journals, or reputable mass media sources. You might be able to access journal articles electronically through your library, using search engines such as JSTOR and Google Scholar. This can save you a great deal of time compared with going to the library in person to search periodicals. General news sources, such as those accessible through LexisNexis, are acceptable, but should be cited sparingly, since they don’t carry the same level of credibility as scholarly sources. As discussed above, unvetted sources such as blogs and Wikipedia should be avoided, because the quality of the information they provide is unreliable and often misleading.

To create an annotated bibliography, provide the following information for at least 10 sources relevant to your specific topic, using the format suggested below.

Name of author(s):

Publication date:

Title of book, chapter, or article:

If a chapter or article, title of journal or book where they appear:

Brief description of this work, including main findings and methods ( c 75 words):

Summary of how this work contributes to your project ( c 75 words):

Brief description of the implications of this work ( c 25 words):

Identify any gap or controversy in knowledge this work points up, and how your project could address those problems ( c 50 words):

Exercise 2: Towards an analysis

Develop a short statement ( c 250 words) about the kind of data that would be useful to address your research question, and how you’d analyse it. Some questions to consider in writing this statement include:

• What are the central concepts or variables in your project? Offer a brief definition of each.
• Do any data sources exist on those concepts or variables, or would you need to collect data?
• Of the analytical strategies you could apply to that data, which would be the most appropriate to answer your question? Which would be the most feasible for you? Consider at least two methods, noting their advantages or disadvantages for your project.

Links & books

One of the best texts ever written about planning and executing research comes from a source that might be unexpected: a 60-year-old work on urban planning by a self-trained scholar. The classic book The Death and Life of Great American Cities (1961) by Jane Jacobs (available complete and free of charge via this link ) is worth reading in its entirety just for the pleasure of it. But the final 20 pages – a concluding chapter titled ‘The Kind of Problem a City Is’ – are really about the process of thinking through and investigating a problem. Highly recommended as a window into the craft of research.

Jacobs’s text references an essay on advancing human knowledge by the mathematician Warren Weaver. At the time, Weaver was director of the Rockefeller Foundation, in charge of funding basic research in the natural and medical sciences. Although the essay is titled ‘A Quarter Century in the Natural Sciences’ (1960) and appears at first blush to be merely a summation of one man’s career, it turns out to be something much bigger and more interesting: a meditation on the history of human beings seeking answers to big questions about the world. Weaver goes back to the 17th century to trace the origins of systematic research thinking, with enthusiasm and vivid anecdotes that make the process come alive. The essay is worth reading in its entirety, and is available free of charge via this link .

For those seeking a more in-depth, professional-level discussion of the logic of research design, the political scientist Harvey Starr provides insight in a compact format in the article ‘Cumulation from Proper Specification: Theory, Logic, Research Design, and “Nice” Laws’ (2005). Starr reviews the ‘research triad’, consisting of the interlinked considerations of formulating a question, selecting relevant theories and applying appropriate methods. The full text of the article, published in the scholarly journal Conflict Management and Peace Science , is available, free of charge, via this link .

Finally, the book Getting What You Came For (1992) by Robert Peters is not only an outstanding guide for anyone contemplating graduate school – from the application process onward – but it also includes several excellent chapters on planning and executing research, applicable across a wide variety of subject areas. It was an invaluable resource for me 25 years ago, and it remains in print with good reason; I recommend it to all my students, particularly Chapter 16 (‘The Thesis Topic: Finding It’), Chapter 17 (‘The Thesis Proposal’) and Chapter 18 (‘The Thesis: Writing It’).

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Blog Business How to Write a Research Proposal: A Step-by-Step

How to Write a Research Proposal: A Step-by-Step

Written by: Danesh Ramuthi Nov 29, 2023

A research proposal is a structured outline for a planned study on a specific topic. It serves as a roadmap, guiding researchers through the process of converting their research idea into a feasible project. 

The aim of a research proposal is multifold: it articulates the research problem, establishes a theoretical framework, outlines the research methodology and highlights the potential significance of the study. Importantly, it’s a critical tool for scholars seeking grant funding or approval for their research projects.

Crafting a good research proposal requires not only understanding your research topic and methodological approaches but also the ability to present your ideas clearly and persuasively. Explore Venngage’s Proposal Maker and Research Proposals Templates to begin your journey in writing a compelling research proposal.

What to include in a research proposal?

In a research proposal, include a clear statement of your research question or problem, along with an explanation of its significance. This should be followed by a literature review that situates your proposed study within the context of existing research. 

Your proposal should also outline the research methodology, detailing how you plan to conduct your study, including data collection and analysis methods.

Additionally, include a theoretical framework that guides your research approach, a timeline or research schedule, and a budget if applicable. It’s important to also address the anticipated outcomes and potential implications of your study. A well-structured research proposal will clearly communicate your research objectives, methods and significance to the readers.

How to format a research proposal?

Formatting a research proposal involves adhering to a structured outline to ensure clarity and coherence. While specific requirements may vary, a standard research proposal typically includes the following elements:

• Title Page: Must include the title of your research proposal, your name and affiliations. The title should be concise and descriptive of your proposed research.
• Abstract: A brief summary of your proposal, usually not exceeding 250 words. It should highlight the research question, methodology and the potential impact of the study.
• Introduction: Introduces your research question or problem, explains its significance, and states the objectives of your study.
• Literature review: Here, you contextualize your research within existing scholarship, demonstrating your knowledge of the field and how your research will contribute to it.
• Methodology: Outline your research methods, including how you will collect and analyze data. This section should be detailed enough to show the feasibility and thoughtfulness of your approach.
• Timeline: Provide an estimated schedule for your research, breaking down the process into stages with a realistic timeline for each.
• Budget (if applicable): If your research requires funding, include a detailed budget outlining expected cost.
• References/Bibliography: List all sources referenced in your proposal in a consistent citation style.

How to write a research proposal in 11 steps?

Writing a research proposal template in structured steps ensures a comprehensive and coherent presentation of your research project. Let’s look at the explanation for each of the steps here:  

Step 1: Title and Abstract Step 2: Introduction Step 3: Research objectives Step 4: Literature review Step 5: Methodology Step 6: Timeline Step 7: Resources Step 8: Ethical considerations Step 9: Expected outcomes and significance Step 10: References Step 11: Appendices

Step 1: title and abstract.

Select a concise, descriptive title and write an abstract summarizing your research question, objectives, methodology and expected outcomes​​. The abstract should include your research question, the objectives you aim to achieve, the methodology you plan to employ and the anticipated outcomes. 

Step 2: Introduction

In this section, introduce the topic of your research, emphasizing its significance and relevance to the field. Articulate the research problem or question in clear terms and provide background context, which should include an overview of previous research in the field.

Step 3: Research objectives

Here, you’ll need to outline specific, clear and achievable objectives that align with your research problem. These objectives should be well-defined, focused and measurable, serving as the guiding pillars for your study. They help in establishing what you intend to accomplish through your research and provide a clear direction for your investigation.

Step 4: Literature review

In this part, conduct a thorough review of existing literature related to your research topic. This involves a detailed summary of key findings and major contributions from previous research. Identify existing gaps in the literature and articulate how your research aims to fill these gaps. The literature review not only shows your grasp of the subject matter but also how your research will contribute new insights or perspectives to the field.

Step 5: Methodology

Describe the design of your research and the methodologies you will employ. This should include detailed information on data collection methods, instruments to be used and analysis techniques. Justify the appropriateness of these methods for your research​​.

Step 6: Timeline

Construct a detailed timeline that maps out the major milestones and activities of your research project. Break the entire research process into smaller, manageable tasks and assign realistic time frames to each. This timeline should cover everything from the initial research phase to the final submission, including periods for data collection, analysis and report writing. 

It helps in ensuring your project stays on track and demonstrates to reviewers that you have a well-thought-out plan for completing your research efficiently.

Step 7: Resources

Identify all the resources that will be required for your research, such as specific databases, laboratory equipment, software or funding. Provide details on how these resources will be accessed or acquired. 

If your research requires funding, explain how it will be utilized effectively to support various aspects of the project. 

Step 8: Ethical considerations

Address any ethical issues that may arise during your research. This is particularly important for research involving human subjects. Describe the measures you will take to ensure ethical standards are maintained, such as obtaining informed consent, ensuring participant privacy, and adhering to data protection regulations. 

Here, in this section you should reassure reviewers that you are committed to conducting your research responsibly and ethically.

Step 9: Expected outcomes and significance

Articulate the expected outcomes or results of your research. Explain the potential impact and significance of these outcomes, whether in advancing academic knowledge, influencing policy or addressing specific societal or practical issues. 

Step 10: References

Compile a comprehensive list of all the references cited in your proposal. Adhere to a consistent citation style (like APA or MLA) throughout your document. The reference section not only gives credit to the original authors of your sourced information but also strengthens the credibility of your proposal.

Step 11: Appendices

Include additional supporting materials that are pertinent to your research proposal. This can be survey questionnaires, interview guides, detailed data analysis plans or any supplementary information that supports the main text. 

Appendices provide further depth to your proposal, showcasing the thoroughness of your preparation.

Research proposal FAQs

1. how long should a research proposal be.

The length of a research proposal can vary depending on the requirements of the academic institution, funding body or specific guidelines provided. Generally, research proposals range from 500 to 1500 words or about one to a few pages long. It’s important to provide enough detail to clearly convey your research idea, objectives and methodology, while being concise. Always check

2. Why is the research plan pivotal to a research project?

The research plan is pivotal to a research project because it acts as a blueprint, guiding every phase of the study. It outlines the objectives, methodology, timeline and expected outcomes, providing a structured approach and ensuring that the research is systematically conducted. 

A well-crafted plan helps in identifying potential challenges, allocating resources efficiently and maintaining focus on the research goals. It is also essential for communicating the project’s feasibility and importance to stakeholders, such as funding bodies or academic supervisors.

Mastering how to write a research proposal is an essential skill for any scholar, whether in social and behavioral sciences, academic writing or any field requiring scholarly research. From this article, you have learned key components, from the literature review to the research design, helping you develop a persuasive and well-structured proposal.

Remember, a good research proposal not only highlights your proposed research and methodology but also demonstrates its relevance and potential impact.

For additional support, consider utilizing Venngage’s Proposal Maker and Research Proposals Templates , valuable tools in crafting a compelling proposal that stands out.

Whether it’s for grant funding, a research paper or a dissertation proposal, these resources can assist in transforming your research idea into a successful submission.

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Home » Research Process – Steps, Examples and Tips

Research Process – Steps, Examples and Tips

Table of Contents

Research Process

Definition:

Research Process is a systematic and structured approach that involves the collection, analysis, and interpretation of data or information to answer a specific research question or solve a particular problem.

Research Process Steps

Research Process Steps are as follows:

Identify the Research Question or Problem

This is the first step in the research process. It involves identifying a problem or question that needs to be addressed. The research question should be specific, relevant, and focused on a particular area of interest.

Conduct a Literature Review

Once the research question has been identified, the next step is to conduct a literature review. This involves reviewing existing research and literature on the topic to identify any gaps in knowledge or areas where further research is needed. A literature review helps to provide a theoretical framework for the research and also ensures that the research is not duplicating previous work.

Formulate a Hypothesis or Research Objectives

Based on the research question and literature review, the researcher can formulate a hypothesis or research objectives. A hypothesis is a statement that can be tested to determine its validity, while research objectives are specific goals that the researcher aims to achieve through the research.

Design a Research Plan and Methodology

This step involves designing a research plan and methodology that will enable the researcher to collect and analyze data to test the hypothesis or achieve the research objectives. The research plan should include details on the sample size, data collection methods, and data analysis techniques that will be used.

Collect and Analyze Data

This step involves collecting and analyzing data according to the research plan and methodology. Data can be collected through various methods, including surveys, interviews, observations, or experiments. The data analysis process involves cleaning and organizing the data, applying statistical and analytical techniques to the data, and interpreting the results.

Interpret the Findings and Draw Conclusions

After analyzing the data, the researcher must interpret the findings and draw conclusions. This involves assessing the validity and reliability of the results and determining whether the hypothesis was supported or not. The researcher must also consider any limitations of the research and discuss the implications of the findings.

Communicate the Results

Finally, the researcher must communicate the results of the research through a research report, presentation, or publication. The research report should provide a detailed account of the research process, including the research question, literature review, research methodology, data analysis, findings, and conclusions. The report should also include recommendations for further research in the area.

Review and Revise

The research process is an iterative one, and it is important to review and revise the research plan and methodology as necessary. Researchers should assess the quality of their data and methods, reflect on their findings, and consider areas for improvement.

Ethical Considerations

Throughout the research process, ethical considerations must be taken into account. This includes ensuring that the research design protects the welfare of research participants, obtaining informed consent, maintaining confidentiality and privacy, and avoiding any potential harm to participants or their communities.

Dissemination and Application

The final step in the research process is to disseminate the findings and apply the research to real-world settings. Researchers can share their findings through academic publications, presentations at conferences, or media coverage. The research can be used to inform policy decisions, develop interventions, or improve practice in the relevant field.

Research Process Example

Following is a Research Process Example:

Research Question : What are the effects of a plant-based diet on athletic performance in high school athletes?

Step 1: Background Research Conduct a literature review to gain a better understanding of the existing research on the topic. Read academic articles and research studies related to plant-based diets, athletic performance, and high school athletes.

Step 2: Develop a Hypothesis Based on the literature review, develop a hypothesis that a plant-based diet positively affects athletic performance in high school athletes.

Step 3: Design the Study Design a study to test the hypothesis. Decide on the study population, sample size, and research methods. For this study, you could use a survey to collect data on dietary habits and athletic performance from a sample of high school athletes who follow a plant-based diet and a sample of high school athletes who do not follow a plant-based diet.

Step 4: Collect Data Distribute the survey to the selected sample and collect data on dietary habits and athletic performance.

Step 5: Analyze Data Use statistical analysis to compare the data from the two samples and determine if there is a significant difference in athletic performance between those who follow a plant-based diet and those who do not.

Step 6 : Interpret Results Interpret the results of the analysis in the context of the research question and hypothesis. Discuss any limitations or potential biases in the study design.

Step 7: Draw Conclusions Based on the results, draw conclusions about whether a plant-based diet has a significant effect on athletic performance in high school athletes. If the hypothesis is supported by the data, discuss potential implications and future research directions.

Step 8: Communicate Findings Communicate the findings of the study in a clear and concise manner. Use appropriate language, visuals, and formats to ensure that the findings are understood and valued.

Applications of Research Process

The research process has numerous applications across a wide range of fields and industries. Some examples of applications of the research process include:

• Scientific research: The research process is widely used in scientific research to investigate phenomena in the natural world and develop new theories or technologies. This includes fields such as biology, chemistry, physics, and environmental science.
• Social sciences : The research process is commonly used in social sciences to study human behavior, social structures, and institutions. This includes fields such as sociology, psychology, anthropology, and economics.
• Education: The research process is used in education to study learning processes, curriculum design, and teaching methodologies. This includes research on student achievement, teacher effectiveness, and educational policy.
• Healthcare: The research process is used in healthcare to investigate medical conditions, develop new treatments, and evaluate healthcare interventions. This includes fields such as medicine, nursing, and public health.
• Business and industry : The research process is used in business and industry to study consumer behavior, market trends, and develop new products or services. This includes market research, product development, and customer satisfaction research.
• Government and policy : The research process is used in government and policy to evaluate the effectiveness of policies and programs, and to inform policy decisions. This includes research on social welfare, crime prevention, and environmental policy.

Purpose of Research Process

The purpose of the research process is to systematically and scientifically investigate a problem or question in order to generate new knowledge or solve a problem. The research process enables researchers to:

• Identify gaps in existing knowledge: By conducting a thorough literature review, researchers can identify gaps in existing knowledge and develop research questions that address these gaps.
• Collect and analyze data : The research process provides a structured approach to collecting and analyzing data. Researchers can use a variety of research methods, including surveys, experiments, and interviews, to collect data that is valid and reliable.
• Test hypotheses : The research process allows researchers to test hypotheses and make evidence-based conclusions. Through the systematic analysis of data, researchers can draw conclusions about the relationships between variables and develop new theories or models.
• Solve problems: The research process can be used to solve practical problems and improve real-world outcomes. For example, researchers can develop interventions to address health or social problems, evaluate the effectiveness of policies or programs, and improve organizational processes.
• Generate new knowledge : The research process is a key way to generate new knowledge and advance understanding in a given field. By conducting rigorous and well-designed research, researchers can make significant contributions to their field and help to shape future research.

Tips for Research Process

Here are some tips for the research process:

• Start with a clear research question : A well-defined research question is the foundation of a successful research project. It should be specific, relevant, and achievable within the given time frame and resources.
• Conduct a thorough literature review: A comprehensive literature review will help you to identify gaps in existing knowledge, build on previous research, and avoid duplication. It will also provide a theoretical framework for your research.
• Choose appropriate research methods: Select research methods that are appropriate for your research question, objectives, and sample size. Ensure that your methods are valid, reliable, and ethical.
• Be organized and systematic: Keep detailed notes throughout the research process, including your research plan, methodology, data collection, and analysis. This will help you to stay organized and ensure that you don’t miss any important details.
• Analyze data rigorously: Use appropriate statistical and analytical techniques to analyze your data. Ensure that your analysis is valid, reliable, and transparent.
• I nterpret results carefully : Interpret your results in the context of your research question and objectives. Consider any limitations or potential biases in your research design, and be cautious in drawing conclusions.
• Communicate effectively: Communicate your research findings clearly and effectively to your target audience. Use appropriate language, visuals, and formats to ensure that your findings are understood and valued.
• Collaborate and seek feedback : Collaborate with other researchers, experts, or stakeholders in your field. Seek feedback on your research design, methods, and findings to ensure that they are relevant, meaningful, and impactful.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Driving Discovery: How to Create an Effective Research Plan

September 23, 2023 - 10 min read

When embarking on a research project , having a well-thought-out research plan is crucial to driving discovery and achieving your objectives. In this article, we will explore the importance of a research plan, the key benefits it offers, the essential components of an effective research plan, the steps to create one, and tips for implementing it successfully.

Understanding the Importance of a Research Plan

A research plan serves as a roadmap that guides your investigation and ensures that you stay focused and on track. It outlines the objectives, questions, and methods that will shape your research and enable you to make meaningful discoveries.

Imagine embarking on a research journey without a plan. You would be wandering aimlessly, unsure of where to focus your attention and resources. A research plan acts as a compass, guiding you towards the most promising avenues of exploration. It helps you formulate research questions that are relevant and meaningful, so that your study contributes to the existing body of knowledge in a significant way.

Key Benefits

A well-structured research plan offers several benefits besides guiding your investigation.

• Clarify your research goals and align them with your overarching research objectives. You want your study to remain focused and avoid unnecessary detours.
• Organize your research process, so that you cover all the necessary steps and avoid potential pitfalls. Break down your research into manageable tasks, allowing you to allocate your time and resources effectively. 
• Secure funding and gain the support of stakeholders. When applying for grants or seeking approval for your research project, a comprehensive and compelling research plan can make all the difference. It provides a clear overview of your study's objectives, methods, and expected outcomes, demonstrating the potential impact of your research.

Essential Components 

When creating a research plan, certain components should be included to ensure its effectiveness. These components serve as building blocks that shape the overall structure and content of your plan.

Defining Your Research Objectives

The first step in creating an effective research plan is to clearly define your research objectives. These objectives should be specific, measurable, attainable, relevant, and time-bound (SMART). By setting SMART research objectives, you provide a clear purpose for your investigation and establish criteria by which you can evaluate its success.

Defining research objectives is crucial because it helps researchers stay focused and avoid getting lost in the vast sea of information. It provides a sense of direction and purpose, so that every step taken during the research process contributes to achieving the desired outcomes. Without well-defined objectives, researchers may find themselves overwhelmed and unable to make meaningful progress.

Identifying Your Research Questions

In addition to defining your research objectives, it is crucial to identify the research questions that will guide your investigation. These should be focused and address the specific aspects you aim to explore. By formulating precise research questions, you narrow down your research scope and provide a framework for gathering and analyzing data.

Remember that research questions serve as a compass, guiding researchers through the vast landscape of information. They help researchers stay on track and ensure that their efforts are aligned with the overall objectives of the study. Well-crafted research questions also enable them to delve deeper into specific areas of interest, uncovering valuable insights that contribute to the existing body of knowledge.

Choosing the Right Research Methodology

The selection of an appropriate research methodology is another vital component of an effective research plan. The methodology you choose should be aligned with your research objectives and questions, enabling you to gather and analyze data effectively. Whether quantitative or qualitative, your chosen methodology should provide reliable and valid results that contribute to driving your research forward.

Choosing the right research methodology is like selecting the right tools for a construction project. Each methodology has its strengths and limitations, and understanding these nuances is crucial for conducting a successful study. The decision that researchers make will impact the data collection techniques, analysis methods, and overall validity of the study.

Steps to Create a Comprehensive Research Plan

Now that we understand the essential components of a research plan, let's dive into the steps to create a comprehensive one.

Setting Your Research Goals

The first step in creating a research plan is to set clear and concise research goals. These goals serve as the guiding principles of the research and provide a framework for the investigation. When setting research goals, align them with the research objectives, so that the plan remains focused and purposeful. 

Don't forget that research goals can vary depending on the nature of the study. They can be broad, encompassing the overall aims of the research, or specific, focusing on particular aspects or variables. Regardless of their scope, research goals play a vital role in shaping the research plan and determining the path to be followed.

Conducting a Literature Review

A comprehensive literature review is crucial for building a solid foundation for your research plan. During this process, researchers explore various sources such as academic journals, books, conference proceedings, and online databases to gather relevant information. They critically analyze and synthesize the findings from previous studies, to identify gaps, inconsistencies, and areas that require further investigation. This process helps researchers refine their research questions, develop hypotheses, and select appropriate research methods.

Moreover, a literature review allows researchers to identify key theories, concepts, and methodologies that are relevant to their research. It helps them establish the theoretical framework for their study, providing a solid basis for data collection and analysis. By conducting a thorough literature review, researchers guarantee that their research plan is grounded in existing knowledge and contributes meaningfully to the field.

Designing Your Research Strategy

Once you have set your research goals and conducted a thorough literature review, it's time to design your research strategy. This step involves making important decisions regarding research questions, research methods, and data collection and analysis procedures.

• Carefully consider various factors, such as the research goals, the nature of the research problem, the available resources, and ethical considerations. Determine the most appropriate research questions that align with the research goals and can be effectively addressed through the chosen research methods.
• Select the most suitable research methods to collect and analyze data. This can involve qualitative methods such as interviews, observations, or focus groups, or quantitative methods such as surveys or experiments. The choice of research methods depends on the research objectives, the nature of the research problem, and the available resources.
• Outline the data collection and analysis procedures. This means determining the sample size, developing data collection instruments, and devising data analysis techniques. A well-designed research strategy ensures that researchers gather the necessary data to address their research questions effectively and draw meaningful conclusions.

Tips for Implementing Your Research Plan

Creating a research plan is just the first step; successful implementation is equally important. Here are some tips to help you implement your research plan effectively.

Ensuring Flexibility 

While a research plan provides a structured roadmap, it is essential to remain flexible throughout the research process. Unexpected challenges and discoveries may require adjustments to your plan. By maintaining flexibility, you can adapt to changing circumstances and make the most of unforeseen opportunities.

Imagine you are conducting a research study on the impact of climate change on coral reefs. Your initial plan may involve collecting data from a specific location over a six-month period. However, during the course of your research, you may discover a new coral species that is particularly vulnerable to climate change. In such a scenario, being flexible allows you to modify your research plan to include a more in-depth investigation of this new species, potentially leading to groundbreaking findings.

Tracking Your Research Progress

Regularly tracking your research progress is crucial to ensuring that you stay on schedule and achieve your research objectives. Establish milestones and set aside dedicated time for progress evaluation. This will help you identify any deviations from the plan and take corrective measures promptly.

Suppose you are conducting a longitudinal study on the effects of a new teaching method on student performance. By tracking your research progress, you can analyze the data collected at various intervals and assess whether the teaching method is consistently improving student outcomes. If you notice any inconsistencies or unexpected trends, you can adjust your research plan accordingly, such as modifying the teaching method or expanding the sample size.

Evaluating and Refining Your Research Plan

Periodically evaluating and refining your research plan is vital for its effectiveness. Reflect on the progress of your research and assess whether your objectives and questions are still relevant. Take feedback from colleagues and stakeholders into account and make necessary adjustments to improve your research plan.

Let's say you are conducting a survey-based research study on consumer preferences for sustainable packaging. After analyzing the initial survey responses, you may realize that the questions you asked did not capture all the relevant factors influencing consumer choices. By evaluating and refining your research plan, you can modify the survey questions to include additional variables, such as price sensitivity or brand perception, thus enhancing the validity and comprehensiveness of your study.

Drive Your Discovery with Wrike

Creating an effective research plan to drive discovery is like having a detailed itinerary for an exploration journey. It guides your research efforts and ensures that you uncover valuable insights. However, managing these research plans across multiple projects can be challenging.

This is where Wrike steps in. Within Wrike, you can easily create folders for each project or research plan. These folders can serve as a place where you can store research methods, data collection plans, and even your research findings. This structured approach brings direction and discovery to your research, much like a detailed itinerary guides an exploration journey.

And when it comes to the other documents and workflows your business needs — whether it's data analysis or report writing — Wrike has you covered with robust project management features and ready-to-use templates. Ready to drive your discovery process? Start your free trial of Wrike today.

Note: This article was created with the assistance of an AI engine. It has been reviewed and revised by our team of experts to ensure accuracy and quality.

Occasionally we write blog posts where multiple people contribute. Since our idea of having a gladiator arena where contributors would fight to the death to win total authorship wasn’t approved by HR, this was the compromise.

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Key Sales Pipeline Metrics to Monitor for Business Success

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Training and Development for Sales Teams Invest in training and development programs for your sales team to enhance their skills and knowledge. Provide them with the tools and resources they need to effectively engage with leads and close deals. By continually developing your sales team's capabilities, you can improve their performance and drive better sales pipeline metrics. Overall, monitoring key sales pipeline metrics is vital for your business's success. By understanding the importance of these metrics, utilizing the right tools and techniques, and implementing strategies to improve them, you can optimize your sales process, increase revenue, and achieve sustainable growth. Monitor key sales pipeline metrics using Wrike’s advanced analytical tools. Register for a free trial today and align your sales strategies with solid data for guaranteed business success. Note: This article was created with the assistance of an AI engine. It has been reviewed and revised by our team of experts to ensure accuracy and quality.

Catalyzing Business Growth: Strategies for Expansion

Expanding a business is an exciting and challenging endeavor. It requires careful planning, strategic thinking, and a deep understanding of the market. In this article, we will explore the key strategies for business expansion and how to catalyze growth effectively. Whether you are a small startup or an established company, these strategies will provide valuable insights into achieving your growth goals. Understanding Business Expansion Business expansion offers numerous benefits, such as increased market share, higher revenues, and improved brand recognition. It allows businesses to tap into new markets, gain a competitive edge, and attract a larger customer base. However, expanding without a well-thought-out plan can be risky and may lead to financial instability. Therefore, it is essential to carefully consider all aspects of expansion before embarking on this journey. 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Key Factors in Business Expansion Several key factors play a crucial role in successful business expansion: Market Demand: Before expanding, assess the market demand for your products or services. Conduct market research and analyze customer preferences and buying patterns to confirm that there is a sustainable demand in the new market. Identify potential gaps in the market that your business can fill, offering unique value propositions to attract customers. Competitive Analysis: Understand the competitive landscape in the target market. Identify key competitors and analyze their strengths and weaknesses. This analysis will help you position your organization and differentiate it from the competition. Develop a compelling value proposition that highlights your unique selling points and conveys why customers should choose your business over others. Operational Capacity: Evaluate your operational capacity to handle expansion. 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This analysis will help you capitalize on your strengths, address weaknesses, seize opportunities, and mitigate potential risks. Remember to involve key stakeholders from different departments within your organization, for a holistic view of your business and access to diverse perspectives.  During the analysis, consider your company's strengths, such as a strong brand reputation, talented workforce, or innovative products. These strengths can be leveraged to gain a competitive advantage in the new market or industry segment you are targeting. Identifying weaknesses is equally important, as it allows you to address any internal limitations that may hinder your expansion efforts. This could include areas such as outdated technology, lack of skilled personnel, or inefficient processes.  Opportunities and threats in the external environment should also be carefully evaluated. This could include emerging market trends, changes in consumer behavior, or new technological advancements. Similarly, by recognizing potential threats, such as increased competition or economic downturns, you can develop strategies to mitigate their impact. Financial Considerations for Business Expansion Expanding a business requires sound financial planning to guarantee long-term viability and success. Consider the following financial aspects when formulating your expansion strategy: Budgeting for Growth Develop a detailed budget that accounts for all expansion-related expenses, such as marketing campaigns, additional staff recruitment and training, infrastructure investments, and increased operational costs. Verify that your projected revenue growth aligns with your planned expenses. When creating your budget, consider both short-term and long-term financial goals. Short-term goals may include immediate expenses related to the expansion, while long-term goals may involve planning for future growth and sustainability. Additionally, factor in potential risks and uncertainties that may impact your financial projections. Conducting a thorough risk assessment can help you identify and mitigate potential financial challenges, so that your budget remains realistic and achievable. Exploring Financing Options Consider various financing options to fund your expansion. These may include bank loans, venture capital, crowdfunding, or seeking partnerships with strategic investors. Carefully evaluate the pros and cons of each option to determine the most suitable financing strategy for your business. When exploring financing options, assess your business's current financial health and creditworthiness. Lenders and investors will evaluate your financial statements, credit history, and cash flow to determine the level of risk associated with providing funds. Furthermore, seek professional advice from financial experts, such as accountants or financial advisors, who can guide you through the process and help you make informed decisions. They can assist in analyzing the financial implications of different financing options and provide recommendations based on your specific business needs. Remember that securing financing for expansion is not just about obtaining the necessary funds; it also involves understanding the terms and conditions associated with each financing option. Consider factors such as interest rates, repayment terms, collateral requirements, and potential impact on your business's ownership and control. Lastly, maintaining open communication with potential lenders or investors is crucial. Clearly articulate your expansion plans, demonstrate your business's growth potential, and provide a comprehensive financial proposal that highlights the expected return on investment. Building trust and credibility with financial stakeholders can increase your chances of securing the necessary funds for your business expansion. Human Resources and Business Growth Efficiently managing human resources is crucial during business expansion, as shown by the factors below. Staffing for Expansion Assessing the current workforce is not only about identifying the need for additional staff members, but also about evaluating the existing employees' potential for growth and development. By recognizing the talent within the organization, businesses can provide opportunities for internal promotions and career advancement. This not only motivates employees but also fosters loyalty and commitment to the company. When hiring new employees, take into account diversity and inclusion. By creating a diverse workforce, businesses can benefit from a wide range of perspectives, experiences, and ideas. This can lead to increased innovation, creativity, and problem-solving capabilities, which are essential for business growth. Training and Development for Growth Investing in training and development programs is crucial to making sure that employees have the necessary skills and knowledge to support the expanded operations. By providing continuous learning opportunities, businesses can enhance the capabilities of their workforce, leading to higher productivity and better customer service. Training programs can include a variety of methods, such as workshops, seminars, online courses, and on-the-job training. These initiatives can focus on developing technical skills, leadership abilities, communication skills, and other competencies that are essential for business growth. Moreover, businesses can also consider partnering with external training providers or educational institutions to offer specialized programs tailored to their specific industry or market. By providing employees with access to industry-leading training, businesses can stay ahead of the competition and see to it that their workforce remains up-to-date with the latest trends and best practices. Marketing Strategies for Business Expansion Effective marketing strategies are essential for creating brand awareness and driving customer acquisition during business expansion. Branding and Expansion Review and refine your brand strategy to align with the expanded market and target audience. Confirm that your brand positioning, messaging, and visual identity convey the unique value proposition of your business in a way that resonates with the new market. Digital Marketing for Growth Leverage the power of digital marketing channels to reach your target audience and generate leads. Invest in search engine optimization (SEO), social media marketing, content marketing, and targeted online advertising to expand your reach and drive traffic to your website or physical location. Catalyze Your Business Growth with Wrike Business growth requires effective strategies and the right tools. With Wrike, you can easily manage your growth strategies. Wrike allows you to create individual folders for each growth initiative, serving as a central hub for all relevant information and updates, fostering effective growth management. Beyond just growth management, Wrike offers a comprehensive suite of tools designed to streamline your workflows, foster collaboration, and drive productivity. From real-time communication to intuitive task management features, Wrike provides everything you need to catalyze your business growth and drive expansion. Ready to catalyze your business growth and drive expansion? There's no better time to start than now. Get started with Wrike for free today. Note: This article was created with the assistance of an AI engine. It has been reviewed and revised by our team of experts to ensure accuracy and quality.

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• Knowledge Base

Methodology

• What Is a Research Design | Types, Guide & Examples

What Is a Research Design | Types, Guide & Examples

Published on June 7, 2021 by Shona McCombes . Revised on September 5, 2024 by Pritha Bhandari.

A research design is a strategy for answering your   research question  using empirical data. Creating a research design means making decisions about:

• Your overall research objectives and approach
• Whether you’ll rely on primary research or secondary research
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research objectives and that you use the right kind of analysis for your data.

You might have to write up a research design as a standalone assignment, or it might be part of a larger   research proposal or other project. In either case, you should carefully consider which methods are most appropriate and feasible for answering your question.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, other interesting articles, frequently asked questions about research design.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities—start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed-methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

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Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types.

• Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships
• Descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analyzing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study—plants, animals, organizations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

• Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalize your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study , your aim is to deeply understand a specific context, not to generalize to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question .

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviors, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews .

Observation methods

Observational studies allow you to collect data unobtrusively, observing characteristics, behaviors or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what kinds of data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected—for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are high in reliability and validity.

Operationalization

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalization means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in—for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced, while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method , you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample—by mail, online, by phone, or in person?

If you’re using a probability sampling method , it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method , how will you avoid research bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organizing and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymize and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well-organized will save time when it comes to analyzing it. It can also help other researchers validate and add to your findings (high replicability ).

On its own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyze the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarize your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarize your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analyzing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A research design is a strategy for answering your   research question . It defines your overall approach and determines how you will collect and analyze data.

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

Quantitative research designs can be divided into two main categories:

• Correlational and descriptive designs are used to investigate characteristics, averages, trends, and associations between variables.
• Experimental and quasi-experimental designs are used to test causal relationships .

Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs.

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

Operationalization means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalize the variables that you want to measure.

A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.

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Getting Started with Research: The Research Process

• The Research Process
• Help With Sources

In College, Research Matters!

As a college student, conducting research effectively will be required in order for you to succeed in your classes. Whether you're asked to write a speech, a paper, or something else entirely, odds are you're going to need to know how to do some research in order to complete the assignment. Sometimes, though, research can be daunting -- it feels too time-consuming, unclear, or stressful. Luckily, it's a process that gets much easier with practice and a solid strategy. This guide will provide you with an overview of the research process and provide you with some tools and resources for getting started. 

Printable Resources

• SIRS Research Guide This worksheet, designed by SIRS Knowledge Source, will guide you through the research process step by step, providing helpful tips, asking questions to help you best understand your topic, and leading you to creating a thesis statement.
• Writing a Research Paper This in-depth overview, designed by Points of View Reference Center, guides you through the research & paper-writing process, providing many useful tips and recommended timelines for completing the steps so you can plan ahead.
• Writing a Research Paper This short guide, developed by Issues & Controversies, summarizes the necessary steps for writing a research paper, including choosing a topic & thesis statement and conducting research, and provides useful starting points for these steps.

Online Course - Research Basics

This free online course, developed by JSTOR, will help you get familiar with basic research concepts needed for successful college-level research. It contains three modules made up of short lessons and practice quizzes, and ends with an assessment to test your knowledge. Check it out here .

Ask a Librarian

How to make an outline.

Developed by Gale, these are some basic aids to guide you through this specific part of the research paper process. 

• How to Make an Outline Tip Sheet
• How to Make an Outline Worksheet

An Overview

Download the Overview

• Short Overview of the Research Process This is a downloadable PDF version of the above infographic.

Online Resources

• The Undergraduate Research Process -- Pikes Peak State College Full of tips, video tutorials, and lots of excellent information and advice for every stage of the research process, this guide from Pikes Peak State College is an excellent, in-depth resource.
• Research Tips & Search Strategies -- Lambton College A subsection of Lambton College's How to Research LibGuide, this page offers best practices for starting research and helpful search strategies.
• Research Skills for Students Textbook Full of detailed chapters on dozens of topics pertaining to developing research skills, this comprehensive guide by University of Galway's Academic Skills Team equips students with the essential knowledge needed to conduct thorough and ethical research via practical advice and illustrative examples.
• Library Research for College Students: Step-by-Step -- Western Technical College This LibGuide from Western Technical College provides you with a step-by-step in-depth start to finish guide through the research process.

Find It @ the Library

• Next: Help With Sources >>
• Last Updated: Sep 12, 2024 1:36 PM
• URL: https://libguides.jeffco.edu/starting_research

Write Your Research Plan

In this part, we give you detailed information about writing an effective Research Plan. We start with the importance and parameters of significance and innovation.

We then discuss how to focus the Research Plan, relying on the iterative process described in the Iterative Approach to Application Planning Checklist shown at Draft Specific Aims  and give you advice for filling out the forms.

You'll also learn the importance of having a well-organized, visually appealing application that avoids common missteps and the importance of preparing your just-in-time information early.

While this document is geared toward the basic research project grant, the R01, much of it is useful for other grant types.

Table of Contents

Research plan overview and your approach, craft a title, explain your aims, research strategy instructions, advice for a successful research strategy, graphics and video, significance, innovation, and approach, tracking for your budget, preliminary studies or progress report, referencing publications, review and finalize your research plan, abstract and narrative.

Your application's Research Plan has two sections:

• Specific Aims —a one-page statement of your objectives for the project.
• Research Strategy —a description of the rationale for your research and your experiments in 12 pages for an R01.

In your Specific Aims, you note the significance and innovation of your research; then list your two to three concrete objectives, your aims.

Your Research Strategy is the nuts and bolts of your application, where you describe your research rationale and the experiments you will conduct to accomplish each aim. Though how you organize it is largely up to you, NIH expects you to follow these guidelines.

• Organize using bold headers or an outline or numbering system—or both—that you use consistently throughout.
• Start each section with the appropriate header: Significance, Innovation, or Approach.
• Organize the Approach section around your Specific Aims.

Format of Your Research Plan

To write the Research Plan, you don't need the application forms. Write the text in your word processor, turn it into a PDF file, and upload it into the application form when it's final.

Because NIH may return your application if it doesn't meet all requirements, be sure to follow the rules for font, page limits, and more. Read the instructions at NIH’s Format Attachments .

For an R01, the Research Strategy can be up to 12 pages, plus one page for Specific Aims. Don't pad other sections with information that belongs in the Research Plan. NIH is on the lookout and may return your application to you if you try to evade page limits.

Follow Examples

As you read this page, look at our Sample Applications and More  to see some of the different strategies successful PIs use to create an outstanding Research Plan.

Keeping It All In Sync

Writing in a logical sequence will save you time.

Information you put in the Research Plan affects just about every other application part. You'll need to keep everything in sync as your plans evolve during the writing phase.

It's best to consider your writing as an iterative process. As you develop and finalize your experiments, you will go back and check other parts of the application to make sure everything is in sync: the "who, what, when, where, and how (much money)" as well as look again at the scope of your plans.

In that vein, writing in a logical sequence is a good approach that will save you time. We suggest proceeding in the following order:

• Create a provisional title.
• Write a draft of your Specific Aims.
• Start with your Significance and Innovation sections.
• Then draft the Approach section considering the personnel and skills you'll need for each step.
• Evaluate your Specific Aims and methods in light of your expected budget (for a new PI, it should be modest, probably under the $250,000 for NIH's modular budget).
• As you design experiments, reevaluate your hypothesis, aims, and title to make sure they still reflect your plans.
• Prepare your Abstract (a summary of your Specific Aims).
• Complete the other forms.

Even the smaller sections of your application need to be well-organized and readable so reviewers can readily grasp the information. If writing is not your forte, get help.

To view writing strategies for successful applications, see our Sample Applications and More . There are many ways to create a great application, so explore your options.

Within the character limit, include the important information to distinguish your project within the research area, your project's goals, and the research problem.

Giving your project a title at the outset can help you stay focused and avoid a meandering Research Plan. So you may want to launch your writing by creating a well-defined title.

NIH gives you a 200 character limit, but don’t feel obliged to use all of that allotment. Instead, we advise you to keep the title as succinct as possible while including the important information to distinguish your project within the research area. Make your title reflect your project's goals, the problem your project addresses, and possibly your approach to studying it. Make your title specific: saying you are studying lymphocyte trafficking is not informative enough.

For examples of strong titles, see our Sample Applications and More .

After you write a preliminary title, check that

• My title is specific, indicating at least the research area and the goals of my project.
• It is 200 characters or less.
• I use as simple language as possible.
• I state the research problem and, possibly, my approach to studying it.
• I use a different title for each of my applications. (Note: there are exceptions, for example, for a renewal—see Apply for Renewal  for details.)
• My title has appropriate keywords.

Later you may want to change your initial title. That's fine—at this point, it's just an aid to keep your plans focused.

Since all your reviewers read your Specific Aims, you want to excite them about your project.

If testing your hypothesis is the destination for your research, your Research Plan is the map that takes you there.

You'll start by writing the smaller part, the Specific Aims. Think of the one-page Specific Aims as a capsule of your Research Plan. Since all your reviewers read your Specific Aims, you want to excite them about your project.

For more on crafting your Specific Aims, see Draft Specific Aims .

Write a Narrative

Use at least half the page to provide the rationale and significance of your planned research. A good way to start is with a sentence that states your project's goals.

For the rest of the narrative, you will describe the significance of your research, and give your rationale for choosing the project. In some cases, you may want to explain why you did not take an alternative route.

Then, briefly describe your aims, and show how they build on your preliminary studies and your previous research. State your hypothesis.

If it is likely your application will be reviewed by a study section with broad expertise, summarize the status of research in your field and explain how your project fits in.

In the narrative part of the Specific Aims of many outstanding applications, people also used their aims to

• State the technologies they plan to use.
• Note their expertise to do a specific task or that of collaborators.
• Describe past accomplishments related to the project.
• Describe preliminary studies and new and highly relevant findings in the field.
• Explain their area's biology.
• Show how the aims relate to one another.
• Describe expected outcomes for each aim.
• Explain how they plan to interpret data from the aim’s efforts.
• Describe how to address potential pitfalls with contingency plans.

Depending on your situation, decide which items are important for you. For example, a new investigator would likely want to highlight preliminary data and qualifications to do the work.

Many people use bold or italics to emphasize items they want to bring to the reviewers' attention, such as the hypothesis or rationale.

Detail Your Aims

After the narrative, enter your aims as bold bullets, or stand-alone or run-on headers.

• State your plans using strong verbs like identify, define, quantify, establish, determine.
• Describe each aim in one to three sentences.
• Consider adding bullets under each aim to refine your objectives.

How focused should your aims be? Look at the example below.

Spot the Sample

Read the Specific Aims of the Application from Drs. Li and Samulski , "Enhance AAV Liver Transduction with Capsid Immune Evasion."

• Aim 1. Study the effect of adeno-associated virus (AAV) empty particles on AAV capsid antigen cross-presentation in vivo .
• Aim 2. Investigate AAV capsid antigen presentation following administration of AAV mutants and/or proteasome inhibitors for enhanced liver transduction in vivo .
• Aim 3. Isolate AAV chimeric capsids with human hepatocyte tropism and the capacity for cytotoxic T lymphocytes (CTL) evasion.

After finishing the draft Specific Aims, check that

• I keep to the one-page limit.
• Each of my two or three aims is a narrowly focused, concrete objective I can achieve during the grant.
• They give a clear picture of how my project can generate knowledge that may improve human health.
• They show my project's importance to science, how it addresses a critical research opportunity that can move my field forward.
• My text states how my work is innovative.
• I describe the biology to the extent needed for my reviewers.
• I give a rationale for choosing the topic and approach.
• I tie the project to my preliminary data and other new findings in the field.
• I explicitly state my hypothesis and why testing it is important.
• My aims can test my hypothesis and are logical.
• I can design and lead the execution of two or three sets of experiments that will strive to accomplish each aim.
• As much as possible, I use language that an educated person without expertise can understand.
• My text has bullets, bolding, or headers so reviewers can easily spot my aims (and other key items).

For each element listed above, analyze your text and revise it until your Specific Aims hit all the key points you'd like to make.

After the list of aims, some people add a closing paragraph, emphasizing the significance of the work, their collaborators, or whatever else they want to focus reviewers' attention on.

Your Research Strategy is the bigger part of your application's Research Plan (the other part is the Specific Aims—discussed above.)

The Research Strategy is the nuts and bolts of your application, describing the rationale for your research and the experiments you will do to accomplish each aim. It is structured as follows:

• Significance
• You can either include this information as a subsection of Approach or integrate it into any or all of the three main sections.
• If you do the latter, be sure to mark the information clearly, for example, with a bold subhead.
• Possible other sections, for example, human subjects, vertebrate animals, select agents, and others (these do not count toward the page limit).

Though how you organize your application is largely up to you, NIH does want you to follow these guidelines:

• Add bold headers or an outlining or numbering system—or both—that you use consistently throughout.
• Start each of the Research Strategy's sections with a header: Significance, Innovation, and Approach.

For an R01, the Research Strategy is limited to 12 pages for the three main sections and the preliminary studies only. Other items are not included in the page limit.

Find instructions for R01s in the SF 424 Application Guide—go to NIH's SF 424 (R&R) Application and Electronic Submission Information for the generic SF 424 Application Guide or find it in your notice of funding opportunity (NOFO).

For most applications, you need to address Rigor and Reproducibility by describing the experimental design and methods you propose and how they will achieve robust and unbiased results. The requirement applies to research grant, career development, fellowship, and training applications.

If you're responding to an institute-specific program announcement (PA) (not a parent program announcement) or a request for applications (RFA), check the NIH Guide notice, which has additional information you need. Should it differ from the NOFO, go with the NIH Guide .

Also note that your application must meet the initiative's objectives and special requirements. NIAID program staff will check your application, and if it is not responsive to the announcement, your application will be returned to you without a review.

When writing your Research Strategy, your goal is to present a well-organized, visually appealing, and readable description of your proposed project. That means your writing should be streamlined and organized so your reviewers can readily grasp the information. If writing is not your forte, get help.

There are many ways to create an outstanding Research Plan, so explore your options.

What Success Looks Like

Your application's Research Plan is the map that shows your reviewers how you plan to test your hypothesis.

It not only lays out your experiments and expected outcomes, but must also convince your reviewers of your likely success by allaying any doubts that may cross their minds that you will be able to conduct the research.

Notice in the sample applications how the writing keeps reviewers' eyes on the ball by bringing them back to the main points the PIs want to make. Write yourself an insurance policy against human fallibility: if it's a key point, repeat it, then repeat it again.

The Big Three

So as you write, put the big picture squarely in your sights. When reviewers read your application, they'll look for the answers to three basic questions:

• Can your research move your field forward?
• Is the field important—will progress make a difference to human health?
• Can you and your team carry out the work?

Add Emphasis

Savvy PIs create opportunities to drive their main points home. They don't stop at the Significance section to emphasize their project's importance, and they look beyond their biosketches to highlight their team's expertise.

Don't take a chance your reviewer will gloss over that one critical sentence buried somewhere in your Research Strategy or elsewhere. Write yourself an insurance policy against human fallibility: if it's a key point, repeat it, then repeat it again.

Add more emphasis by putting the text in bold, or bold italics (in the modern age, we skip underlining—it's for typewriters).

Here are more strategies from our successful PIs:

• While describing a method in the Approach section, they state their or collaborators' experience with it.
• They point out that they have access to a necessary piece of equipment.
• When explaining their field and the status of current research, they weave in their own work and their preliminary data.
• They delve into the biology of the area to make sure reviewers will grasp the importance of their research and understand their field and how their work fits into it.

You can see many of these principles at work in the Approach section of the Application from Dr. William Faubion , "Inflammatory cascades disrupt Treg function through epigenetic mechanisms."

• Reviewers felt that the experiments described for Aim 1 will yield clear results.
• The plans to translate those findings to gene targets of relevance are well outlined and focused.
• He ties his proposed experiments to the larger picture, including past research and strong preliminary data for the current application. 

Anticipate Reviewer Questions

Our applicants not only wrote with their reviewers in mind they seemed to anticipate their questions. You may think: how can I anticipate all the questions people may have? Of course you can't, but there are some basic items (in addition to the "big three" listed above) that will surely be on your reviewers' minds:

• Will the investigators be able to get the work done within the project period, or is the proposed work over ambitious?
• Did the PI describe potential pitfalls and possible alternatives?
• Will the experiments generate meaningful data?
• Could the resulting data prove the hypothesis?
• Are others already doing the work, or has it been already completed?

Address these questions; then spend time thinking about more potential issues specific to you and your research—and address those too.

For applications, a picture can truly be worth a thousand words. Graphics can illustrate complex information in a small space and add visual interest to your application.

Look at our sample applications to see how the investigators included schematics, tables, illustrations, graphs, and other types of graphics to enhance their applications.

Consider adding a timetable or flowchart to illustrate your experimental plan, including decision trees with alternative experimental pathways to help your reviewers understand your plans.

Plan Ahead for Video

If you plan to send one or more videos, you'll need to meet certain standards and include key information in your Research Strategy now.

To present some concepts or demonstrations, video may enhance your application beyond what graphics alone can achieve. However, you can't count on all reviewers being able to see or hear video, so you'll want to be strategic in how you incorporate it into your application.

Be reviewer-friendly. Help your cause by taking the following steps:

• Caption any narration in the video.
• Choose evocative still images from your video to accompany your summary.
• Write your summary of the video carefully so the text would make sense even without the video.

In addition to those considerations, create your videos to fit NIH’s technical requirements. Learn more in the SF 424 Form Instructions .

Next, as you write your Research Strategy, include key images from the video and a brief description.

Then, state in your cover letter that you plan to send video later. (Don't attach your files to the application.)

After you apply and get assignment information from the Commons, ask your assigned scientific review officer (SRO) how your business official should send the files. Your video files are due at least one month before the peer review meeting.

Know Your Audience's Perspective

The primary audience for your application is your peer review group. Learn how to write for the reviewers who are experts in your field and those who are experts in other fields by reading Know Your Audience .

Be Organized: A B C or 1 2 3?

In the top-notch applications we reviewed, organization ruled but followed few rules. While you want to be organized, how you go about it is up to you.

Nevertheless, here are some principles to follow:

• Start each of the Research Strategy's sections with a header: Significance, Innovation, and Approach—this you must do.

The Research Strategy's page limit—12 for R01s—is for the three main parts: Significance, Innovation, and Approach and your preliminary studies (or a progress report if you're renewing your grant). Other sections, for example, research animals or select agents, do not have a page limit.

Although you will emphasize your project's significance throughout the application, the Significance section should give the most details. Don't skimp—the farther removed your reviewers are from your field, the more information you'll need to provide on basic biology, importance of the area, research opportunities, and new findings.

When you describe your project's significance, put it in the context of 1) the state of your field, 2) your long-term research plans, and 3) your preliminary data.

In our Sample Applications , you can see that both investigators and reviewers made a case for the importance of the research to improving human health as well as to the scientific field.

Look at the Significance section of the Application from Dr. Mengxi Jiang , "Intersection of polyomavirus infection and host cellular responses," to see how these elements combine to make a strong case for significance.

• Dr. Jiang starts with a summary of the field of polyomavirus research, identifying critical knowledge gaps in the field.
• The application ties the lab's previous discoveries and new research plans to filling those gaps, establishing the significance with context.
• Note the use of formatting, whitespace, and sectioning to highlight key points and make it easier for reviewers to read the text.

After conveying the significance of the research in several parts of the application, check that

• In the Significance section, I describe the importance of my hypothesis to the field (especially if my reviewers are not in it) and human disease.
• I also point out the project's significance throughout the application.
• The application shows that I am aware of opportunities, gaps, roadblocks, and research underway in my field.
• I state how my research will advance my field, highlighting knowledge gaps and showing how my project fills one or more of them.
• Based on my scan of the review committee roster, I determine whether I cannot assume my reviewers will know my field and provide some information on basic biology, the importance of the area, knowledge gaps, and new findings.

If you are either a new PI or entering a new area: be cautious about seeming too innovative. Not only is innovation just one of five review criteria, but there might be a paradigm shift in your area of science. A reviewer may take a challenge to the status quo as a challenge to his or her world view.

When you look at our sample applications, you see that both the new and experienced investigators are not generally shifting paradigms. They are using new approaches or models, working in new areas, or testing innovative ideas.

After finishing the draft innovation section, check that

• I show how my proposed research is new and unique, e.g., explores new scientific avenues, has a novel hypothesis, will create new knowledge.
• Most likely, I explain how my project's research can refine, improve, or propose a new application of an existing concept or method.
• Make a very strong case for challenging the existing paradigm.
• Have data to support the innovative approach.
• Have strong evidence that I can do the work.

In your Approach, you spell out a few sets of experiments to address each aim. As we noted above, it's a good idea to restate the key points you've made about your project's significance, its place in your field, and your long-term goals.

You're probably wondering how much detail to include.

If you look at our sample applications as a guide, you can see very different approaches. Though people generally used less detail than you'd see in a scientific paper, they do include some experimental detail.

Expect your assigned reviewers to scrutinize your approach: they will want to know what you plan to do and how you plan to do it.

NIH data show that of the peer review criteria, approach has the highest correlation with the overall impact score.

Look at the Application from Dr. Mengxi Jiang , "Intersection of polyomavirus infection and host cellular responses," to see how a new investigator handled the Approach section.

For an example of an experienced investigator's well-received Approach section, see the Application from Dr. William Faubion , "Inflammatory cascades disrupt Treg function through epigenetic mechanisms."

Especially if you are a new investigator, you need enough detail to convince reviewers that you understand what you are undertaking and can handle the method.

• Cite a publication that shows you can handle the method where you can, but give more details if you and your team don't have a proven record using the method—and state explicitly why you think you will succeed.
• If space is short, you could also focus on experiments that highlight your expertise or are especially interesting. For experiments that are pedestrian or contracted out, just list the method.

Be sure to lay out a plan for alternative experiments and approaches in case you get negative or surprising results. Show reviewers you have a plan for spending the four or five years you will be funded no matter where the experiments lead.

See the Application from Drs. Li and Samulski , "Enhance AAV Liver Transduction with Capsid Immune Evasion," for a strong Approach section covering potential. As an example, see section C.1.3.'s alternative approaches.

Here are some pointers for organizing your Approach:

• Enter a bold header for each Specific Aim.
• Under each aim, describe the first set of experiments.
• If you get result X, you will follow pathway X; if you get result Y, you will follow pathway Y.
• Consider illustrating this with a flowchart.

Trim the fat—omit all information not needed to make your case. If you try to wow reviewers with your knowledge, they'll find flaws and penalize you heavily. Don't give them ammunition by including anything you don't need.

As you design your experiments, keep a running tab of the following essential data on a separate piece of paper:

• Who. A list of people who will help you for your Key Personnel section later.
• What. A list of equipment and supplies for the experiments you plan.
• Time. Notes on how long each step takes. Timing directly affects your budget as well as how many Specific Aims you can realistically achieve.

Jotting this information down will help you Create a Budget and complete other sections later.

After finishing a draft Approach section, check that

• I include enough background and preliminary data to give reviewers the context and significance of my plans.
• They can test the hypothesis (or hypotheses).
• I show alternative experiments and approaches in case I get negative or surprising results.
• My experiments can yield meaningful data to test my hypothesis (or hypotheses).
• As a new investigator, I include enough detail to convince reviewers I understand and can handle a method. I reviewed the sample applications to see how much detail to use.
• If I or my team has experience with a method, I cite it; otherwise I include enough details to convince reviewers we can handle it.
• I describe the results I anticipate and their implications.
• I omit all information not needed to state my case.
• I keep track of and explain who will do what, what they will do, when and where they will do it, how long it will take, and how much money it will cost.
• My timeline shows when I expect to complete my aims.

If you are applying for a new application, include preliminary studies; for a renewal or a revision (a competing supplement to an existing grant), prepare a progress report instead.

Describing Preliminary Studies

Your preliminary studies show that you can handle the methods and interpret results. Here's where you build reviewer confidence that you are headed in the right direction by pursuing research that builds on your accomplishments.

Reviewers use your preliminary studies together with the biosketches to assess the investigator review criterion, which reflects the competence of the research team.

Give alternative interpretations to your data to show reviewers you've thought through problems in-depth and are prepared to meet future challenges. If you don't do this, the reviewers will!

Though you may include other people's publications, focus on your preliminary data or unpublished data from your lab and the labs of your team members as much as you can.

As we noted above, you can put your preliminary data anywhere in the Research Strategy that you feel is appropriate, but just make sure your reviewers will be able to distinguish it. Alternatively, you can create a separate section with its own header.

Including a Progress Report

If you are applying for a renewal or a revision (a competing supplement to an existing grant), prepare a progress report instead of preliminary studies.

Create a header so your program officer can easily find it and include the following information:

• Project period beginning and end dates.
• Summary of the importance of your findings in relation to your Specific Aims.
• Account of published and unpublished results, highlighting your progress toward achieving your Specific Aims.

Note: if you submit a renewal application before the due date of your progress report, you do not need to submit a separate progress report for your grant. However, you will need to submit it, if your renewal is not funded.

After finishing the draft, check that

• I interpret my preliminary results critically.
• There is enough information to show I know what I'm talking about.
• If my project is complex, I give more preliminary studies.
• I show how my previous experience prepared me for the new project.
• It's clear which data are mine and which are not.

References show your breadth of knowledge of the field. If you leave out an important work, reviewers may assume you're not aware of it.

Throughout your application, you will reference all relevant publications for the concepts underlying your research and your methods.

Read more about your Bibliography and References Cited at Add a Bibliography and Appendix .

• Throughout my application I cite the literature thoroughly but not excessively, adding citations for all references important to my work.
• I cite all papers important to my field, including those from potential reviewers.
• I include fewer than 100 citations (if possible).
• My Bibliography and References Cited form lists all my references.
• I refer to unpublished work, including information I learned through personal contacts.
• If I do not describe a method, I add a reference to the literature.

Look over what you've written with a critical eye of a reviewer to identify potential questions or weak spots.

Enlist others to do that too—they can look at your application with a fresh eye. Include people who aren't familiar with your research to make sure you can get your point across to someone outside your field.

As you finalize the details of your Research Strategy, you will also need to return to your Specific Aims to see if you must revise. See Draft Specific Aims .

After you finish your Research Plan, you are ready to write your Abstract (called Project Summary/Abstract) and Project Narrative, which are attachments to the Other Project Information form.

These sections may be small, but they're important.

• All your peer reviewers read your Abstract and narrative.
• Staff and automated systems in NIH's Center for Scientific Review use them to decide where to assign your application, even if you requested an institute and study section.
• They show the importance and health relevance of your research to members of the public and Congress who are interested in what NIH is funding with taxpayer dollars.

Be sure to omit confidential or proprietary information in these sections! When your application is funded, NIH enters your title and Abstract in the public RePORTER database.

Think brief and simple: to the extent that you can, write these sections in lay language, and include appropriate keywords, e.g., immunotherapy, genetic risk factors.

As NIH referral officers use these parts to direct your application to an institute for possible funding, your description can influence the choice they make.

Write a succinct summary of your project that both a scientist and a lay person can understand (to the extent that you can).

• Use your Specific Aims as a template—shorten it and simplify the language.
• In the first sentence, state the significance of your research to your field and relevance to NIAID's mission: to better understand, treat, and prevent infectious, immunologic, and allergic diseases.
• Next state your hypothesis and the innovative potential of your research.
• Then list and briefly describe your Specific Aims and long-term objectives.

In your Project Narrative, you have only a few sentences to drive home your project's potential to improve public health.

Check out these effective Abstracts and Narratives from our R01  Sample Applications :

• Application from Dr. Mengxi Jiang , "Intersection of polyomavirus infection and host cellular responses"
• Application from Dr. William Faubion , "Inflammatory cascades disrupt Treg function through epigenetic mechanisms"
• My Project Summary/Abstract and Project Narrative (and title) are accessible to a broad audience.
• They describe the significance of my research to my field and state my hypothesis, my aims, and the innovative potential of my research.
• My narrative describes my project's potential to improve public health.
• I do not include any confidential or proprietary information.
• I do not use graphs or images.
• My Abstract has keywords that are appropriate and distinct enough to avoid confusion with other terms.
• My title is specific and informative.

Previous Step

Have questions.

A program officer in your area of science can give you application advice, NIAID's perspective on your research, and confirmation that your proposed research fits within NIAID’s mission.

Find contacts and instructions at When to Contact an NIAID Program Officer .

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Research Process Steps: What they are + How To Follow

There are various approaches to conducting basic and applied research. This article explains the research process steps you should know. Whether you are doing basic research or applied research, there are many ways of doing it. In some ways, each research study is unique since it is conducted at a different time and place.

Conducting research might be difficult, but there are clear processes to follow. The research process starts with a broad idea for a topic. This article will assist you through the research process steps, helping you focus and develop your topic.

Research Process Steps

The research process consists of a series of systematic procedures that a researcher must go through in order to generate knowledge that will be considered valuable by the project and focus on the relevant topic.

To conduct effective research, you must understand the research process steps and follow them. Here are a few steps in the research process to make it easier for you:

Step 1: Identify the Problem

Finding an issue or formulating a research question is the first step. A well-defined research problem will guide the researcher through all stages of the research process, from setting objectives to choosing a technique. There are a number of approaches to get insight into a topic and gain a better understanding of it. Such as:

• A preliminary survey
• Case studies
• Interviews with a small group of people
• Observational survey

Step 2: Evaluate the Literature

A thorough examination of the relevant studies is essential to the research process . It enables the researcher to identify the precise aspects of the problem. Once a problem has been found, the investigator or researcher needs to find out more about it.

This stage gives problem-zone background. It teaches the investigator about previous research, how they were conducted, and its conclusions. The researcher can build consistency between his work and others through a literature review. Such a review exposes the researcher to a more significant body of knowledge and helps him follow the research process efficiently.

Step 3: Create Hypotheses

Formulating an original hypothesis is the next logical step after narrowing down the research topic and defining it. A belief solves logical relationships between variables. In order to establish a hypothesis, a researcher must have a certain amount of expertise in the field. 

It is important for researchers to keep in mind while formulating a hypothesis that it must be based on the research topic. Researchers are able to concentrate their efforts and stay committed to their objectives when they develop theories to guide their work.

Step 4: The Research Design

Research design is the plan for achieving objectives and answering research questions. It outlines how to get the relevant information. Its goal is to design research to test hypotheses, address the research questions, and provide decision-making insights.

The research design aims to minimize the time, money, and effort required to acquire meaningful evidence. This plan fits into four categories:

• Exploration and Surveys
• Data Analysis
• Observation

Step 5: Describe Population

Research projects usually look at a specific group of people, facilities, or how technology is used in the business. In research, the term population refers to this study group. The research topic and purpose help determine the study group.

Suppose a researcher wishes to investigate a certain group of people in the community. In that case, the research could target a specific age group, males or females, a geographic location, or an ethnic group. A final step in a study’s design is to specify its sample or population so that the results may be generalized.

Step 6: Data Collection

Data collection is important in obtaining the knowledge or information required to answer the research issue. Every research collected data, either from the literature or the people being studied. Data must be collected from the two categories of researchers. These sources may provide primary data.

• Questionnaire

Secondary data categories are:

• Literature survey
• Official, unofficial reports
• An approach based on library resources

Step 7: Data Analysis

During research design, the researcher plans data analysis. After collecting data, the researcher analyzes it. The data is examined based on the approach in this step. The research findings are reviewed and reported.

Data analysis involves a number of closely related stages, such as setting up categories, applying these categories to raw data through coding and tabulation, and then drawing statistical conclusions. The researcher can examine the acquired data using a variety of statistical methods.

Step 8: The Report-writing

After completing these steps, the researcher must prepare a report detailing his findings. The report must be carefully composed with the following in mind:

• The Layout: On the first page, the title, date, acknowledgments, and preface should be on the report. A table of contents should be followed by a list of tables, graphs, and charts if any.
• Introduction: It should state the research’s purpose and methods. This section should include the study’s scope and limits.
• Summary of Findings: A non-technical summary of findings and recommendations will follow the introduction. The findings should be summarized if they’re lengthy.
• Principal Report: The main body of the report should make sense and be broken up into sections that are easy to understand.
• Conclusion: The researcher should restate his findings at the end of the main text. It’s the final result.

LEARN ABOUT: 12 Best Tools for Researchers

The research process involves several steps that make it easy to complete the research successfully. The steps in the research process described above depend on each other, and the order must be kept. So, if we want to do a research project, we should follow the research process steps.

QuestionPro’s enterprise-grade research platform can collect survey and qualitative observation data. The tool’s nature allows for data processing and essential decisions. The platform lets you store and process data. Start immediately!

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The Writing Process

Making expository writing less stressful, more efficient, and more enlightening

Sample Detailed Outline

“Organize. Organize. Organize.” —U.S. Vice President and Nobel Peace Prize-winner Al Gore

Below is an example of a detailed outline. (It is for a research paper, but the principles and structure apply to any paper.) Notice the hierarchical use of the roman numeral system . Such a hierarchy is key to organizing your thinking and your argument and keeping track of the relationships between your ideas.

Introduction

quote from movie like Independence Day to get readers’ attention SOURCE: IMDB.com

world preparing to welcome with festivities and open arms the aliens coming to Earth from Andromeda galaxy

Thesis (complete sentence!): Although the aliens seem friendly and say they come in peace, Earth’s number one priority should be to build a defense shield before they arrive.

On March 15, 2016, we discovered not alone in universe: irregular but repeating signal discovered from nearby Andromeda. SOURCE: NYTimes , 3/16/16

Different scientists have decoded the message differently

Commonly accepted interpretation friendly:

“Greetings, people of Earth. We have detected and watched your reports (e.g., The Big Bang Theory ) documenting typical life on Earth. We are currently on our way to Earth to begin our friendship and will arrive in Earth year 2020. Prepare yourselves for a glorious future [unclear signals].” (SOURCE: Michaels, “Aliens Are Our Friends,” People )

still parts of the message undecoded (SOURCE?

all scientists agree: Aliens arriving in 2020 (Source: Fredericks, Wall Street Journal )

Argument: there are signs that message is a warning and that aliens are planning to attack

Prof. Alan Guthman, Harvard Center for Astrophysics, makes case (SOURCE: Guthman, “We Do Not Come in Peace”)

With only one message to work with, we have little clue of tone of message

If we interpret three different patterns in signal differently, tone much different: “Attention, Earthlings. We have observed your unusual lives. We are coming to Earth to…[unclear]. Prepare yourselves for life under our control.”

With all the videos we broadcast into space, an alien race would assume that we are hostile and act accordingly

Logic: Even if these aliens are friendly, it is better to be safe than sorry and protect ourselves

FIND: Estimates of the number of intelligent races in the nearby universe and the probability that at least one of them is hostile and technologically advanced

Argument: Estimates show that workable shield surrounding Earth can be constructed by 2020

If nations of Earth collaborate, we can build shield that will block incoming ships and weapons fire (SOURCE. Teller, “Shielding the Earth,” Physics Rev. Letters )

Will cost huge amounts of $$, but:

if spread out among many countries, affordable FIND. Estimates of costs

We can’t afford NOT to build it

Argument: Building shield will both stimulate global economy and result in very useful new technologies

FIND! Evidence on how previous projects—moon landing, the International Space Station, emergency stimulus packages—created

jobs –find stats!

new products & companies

FIND! I don’t have concrete evidence for this, but I remember hearing how the moon landing and international space station resulted in the creation of new, useful technologies

Counterargument: If we build shield and they detect it, it could signal that we are hostile and provoke the aliens to attack

Missile defense shields on Earth have often provoked international tensions. SOURCE: M. Pritchard, “If You Build It, They Will Attack.” ( Boston Globe )

FIND source that shows that

such tensions do not necessarily lead to attack and

any intelligent race will understand need for others to be prepared to defend themselves.

Counterargument: We are probably not able to build shield that would work against such a technologically advanced race

non-sequitor. fact that it may not work does not mean that it won’t and that we should not try to protect ourselves.

Conclusion.

We have no way of knowing the intensions of a group we have never met on the basis of one message.

The only sensible approach is to try to defend ourselves, especially when there will be benefits for trying such as jobs and new technologies.

• As I learned in Las Vegas, “Never risk what you cannot afford to lose.” Can we afford to risk our children’s lives?

Click here to create a detailed outline from your freewrite/brainstorm using GoogleDocs.

Home » Blog » Comprehensive Guide to Research Methodology – Design | Methods | Best Practices

Comprehensive Guide to Research Methodology – Design | Methods | Best Practices

• Other Laws | Blog |
• 19 Min Read
• Last Updated on 16 September, 2024

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Table of Contents

• Introduction
• Steps in Research Process
• Classification of Research Design

1. Introduction

This article describes the research process and different research designs in detail. Management and social science research, like other forms of scientific inquiry, require a structured sequence of highly interrelated steps (Zigmund et al., 2010). The research process involves a series of steps or actions essential for the smooth conduct of any research. The figure below illustrates the sequence of the research process. It is to be noted that these steps are not a road map to all kinds of research. Basically, it is applicable for deductive or functionalist research, and it can or needs to be revised to suit the requirements of a specific project. The research process doesn’t need to be followed successively; rather, the steps overlap frequently and are interrelated. The research process offers a comprehensive guideline that can be referred to for any management and social science research. It may happen that later stages can be accomplished before the earlier stages.

The steps involved in the research process are neither mutually exclusive nor separate and distinct. The selection of a research topic at the outset, defining the research problem and objectives, influences the selection of a sample and data collection. The sample selection may affect the design of questionnaire items. For example, suppose an organization wants to know the cause of attrition among lower-category employees with low educational qualifications. In that case, the wording for the questionnaire will be easier than for people in top management positions with professional educational qualifications. The steps may differ based on the objectives of the research. However, research based on deductive logic should follow the steps outlined below:

2. Steps in Research Process

• Problem Identification
• Literature Review
• Formulating Research Questions
• Research Design
• Data Collection
• Data Analysis
• Conclusions and Report Writing.

The quest for research must always be triggered by the longing to explore and gain more knowledge and understanding. The management dilemma encourages the need for a decision. The need may arise owing to the cause that the researchers want to discover or reestablish certain relationships. The orientation might be to solve immediate management issues, discover something new, or have purely academic intentions. For instance, in an organization, the manager may want to know the reason for high attrition and lack of job satisfaction, or a retail store may survey the post-purchase satisfaction among the customers.

2.1 Research Problem Identification

Defining the research problem is the first step in the research process. The researchers get the proper direction to conduct their research by first understanding the research problems. Hence, a well-defined research problem is crucial. When the problem is discovered, researchers and management can take further steps to define the problem clearly and precisely. A problem defined with accuracy and conscience helps the researchers utilize the available resources effectively. It is imperative for researchers to explore what exactly is the problem and what are the objectives of the research. The rule generally followed to define the research problem is that the definition should permit the researchers to acquire all details required to address the managerial issues and show guidelines for finding a solution. The researcher should be careful not to define the problem too broadly or narrowly. Examples of broad managerial problems are defining a strategy for enhancing organizational performance and a strategy to elevate the organization’s brand equity. An example of a narrow definition of a problem is how to match competitors’ recruitment strategies. To overcome the possibility of both errors while defining the research problem, the researchers must define the problem with broad, popular terms and devise its components. The broad general statement helps the researchers get a sound perspective on the research problem and avoid the error of defining the problem narrowly. On the other side, the specific component helps to identify the key aspects of the research problem, extend a transparent guideline to proceed further and avoid the error of defining the problem too broadly. In management and social science research, broad management problems need to be converted to information-oriented research problems that focus more on the cause than the symptoms. Some examples of managerial problems converted to research problems are presented in Table below. The conversion of management dilemma to managerial questions and further to research questions can be carried out through exploratory research. Such research incorporates an examination of past research studies, a review of extant literature and organizational records and interviewing experts (Cooper et al., 2016).

2.2 Literature Review

Exploring the existing literature is critical in the research process. Researchers must explore and investigate extant literature to observe whether other researchers have already addressed the identified research problem. A literature review is a systematic search of published work, including periodicals, books, journal papers (conceptual and empirical), and reports, representing theory and empirical work about the research problem and topic at hand. A survey of existing literature is customary in applied research and is an elementary requirement of a basic research report. The internet, electronic databases, websites, and e-library help the researcher to carry out literature surveys systematically and easily.

The literature review aims to study the existing state of knowledge in the domain of interest, to picture key authors, theories, methods, topics, and findings in that domain, and to explore the gaps in knowledge in that domain. A literature review conducted systematically reveals whether initial research questions have already gained substantial attention in the extant literature, whether more interesting newer research questions are available, whether past studies have consistent findings or contradictions exist, flaws in the body of research that the researchers can address, and whether the initial research questions need to be revised as per the findings of the literature review. Furthermore, the review can answer the proposed research questions and help identify theories used in previous studies to address similar research questions. For example, for an organization interested in determining the true cause of turnover, the researcher will study extensively the existing literature on attrition and its causes. By studying relevant journal articles, books, and book chapters, the researcher will discover the causes of attrition in general, find out the existing gaps, and suggest the management carry forward the research to find causes specific to the organization.

As deductive research primarily involves theory testing, the researchers must identify one or more theories that can illuminate the proposed research questions. Through an extensive literature review, researchers may uncover various concepts and constructs related to the phenomenon of interest. A theory will extend support to constructs/variables that are logically relevant to the chosen phenomenon. In the deductive approach, researchers use theory/theories as the logical basis for hypothesis testing. However, researchers must carefully select the theories appropriate for the identified problem to be studied. The hypotheses need to be logically formulated and connected to the research objectives.

2.3 Formulating Research Questions

After problem identification and clarification, with or without an exploratory research approach, the researchers should derive the research objectives. Cautious attention to problem definition helps the researchers devise proper research objectives. Research objectives are the goal to be achieved through research. The research objective drives the research process further. A well-devised research objective enhances the possibility of gathering, relevant information and avoiding unwanted information. The research objectives can be properly developed with the consensus of the researchers and management on the actual managerial and business problems. The researcher should ensure that the research objectives are clearly stated, appropriate, and will yield germane information. The research objective may involve exploring the likelihood of venturing into a new market or may necessitate examining the effect of a new organizational policy on employee performance. The nature and types of objectives lead to choosing an appropriate research design.

Research Objectives:  Research objectives represent the goal of the research the researchers want to accomplish.

2.3.1 Suitable Research Questions

Research questions are important to conduct effective research. Without a clear research question, the researcher may face the risk of unfocused research and will not be sure of what the research is about. Research questions are refined descriptions of the components of the research problem. These are questions related to behavior, events or phenomena of interest that the researchers search for answers in their research. Examples include what factors motivate the employees in an organization to apply the gained knowledge back to their jobs or what needs to be done to enhance the creativity of school-going students. Research questions can best state the objectives of the research. Each component of the research problem needs to be broken down into sub-parts or research questions. Research questions inquire about the information essential concerning the problem components. Properly answered research questions will lead to effective decision-making. While formulating research questions, researchers should be guided by the problem statement, theoretical background, and analytical framework.

Sources of Research Questions

• Extant Literature
• Personal experience
• Societal issues
• Managerial problems
• New theories
• Technological advancement
• Empirical cases
• Contradictory finding

2.3.1.1 Significance of Research Questions

Research questions are critical because they guide scientific and systematic literature search, the decision about appropriate research design, the decision about data collection and target audience, data analysis, selection of right tools and techniques and overall to move in the right direction.

The researcher can utilize different sources for formulating research questions, such as extant literature, personal experience, societal issues, managerial problems, new theories, technological advancement, and contradictory findings. The research question must portray certain attributes. Research questions in quantitative research are more specific compared to qualitative research. Sometimes, some qualitative research follows an open approach without any research questions. The main steps involved in formulating research questions are illustrated in Figure below.

Criteria of Effective Research Questions

• Rateability
• Systematic and logical
• Significant
• Fascinating
• Logical association among variables

The sequence in selecting research questions suggests that the researchers are engrossed in a process of progressive focusing down when developing the research questions. It helps them to slide down from the general research area to research questions. While formulating the research questions, the researchers should understand that ending a research question with a question mark is essential. Without a question mark, a statement cannot be considered as a research question. It is quite possible that the researchers may not get answers to all research questions. The research questions need to be related to each other.

2.4 Planning the Research Design

After formulating research problems and literature surveys, the next stage in the research process is to develop the research design. Research design is the blueprint of research activities to answer research questions. It is a master plan that includes research methods and procedures for gathering and analyzing the relevant information with minimum cost, time, and effort. A research design extends a plan for carrying out the research. The researchers need to decide the source to collect information, the techniques of research design (survey or experiment), sampling techniques, and the cost and schedule of the research. The success of these objectives depends on the purpose of the research. Usually, research purposes are segregated into four types: exploration, description, diagnosis, and experimentation.

There are varied designs, such as experimental or non-experimental hypotheses testing (details of different research designs are outlined in section 2.3 in this chapter). There are four primary research methods for descriptive and causal research: survey, experiments, secondary data, and observations. The selection of an appropriate research method relies on the research objectives, available data sources, the cost and effort of collecting data, and the importance of managerial decisions. If the research objective is exploration, a flexible research design can extend better opportunities to investigate different aspects of the research problem. On the other hand, if the intention is simply to describe any situation or phenomena of interest to examine the relationship between two or more variables, the appropriate design should prioritize minimizing bias and maximizing reliability in data collection and analysis. For example, suppose a researcher wants to conduct exploratory research to know the different types of arthritis common in India. In that case, it may require a flexible design relying on secondary data from hospital records or discussions with doctors or other experts to reach conclusions. However, to invent COVID-vaccination and medicine for the COVID-19 virus, the researchers conducted varied experiments to reach a conclusion.

2.4.1 Hypotheses Development

Exploratory research helps the researchers define the research questions, key variables, and theoretical underpinnings and formulate hypotheses if required in the research. The hypotheses must be logically derived based on the research questions and linked to research objectives. A hypothesis is a tentative proposition regarding a research phenomenon. It may be a tentative statement that indicates an association between two or more variables, guided by any supportive theory, theoretical framework, or analytical model. It is a viable answer to the research questions framed by the researchers. Hypotheses are statements of relationships or propositions that are declarative and can be tested with empirical data. Some examples are:

H 1 : Training influences organizational performance.

H 2 : Training enhances employee performance.

For two more research questions i.e., “to what extent does brand love determine purchase intention?” and “does age and family background moderate the relationship?”, the hypotheses are:

H 1 : Brand love is related to purchase intention.

H 2 : Age and Family status moderate the association between brand love and purchase intention. Figure below provides a pictorial representation of the hypotheses drawn.

However, it is not always feasible for researchers to formulate hypotheses in all situations. Sometimes, researchers may lack all relevant information, and theoretical support may not be available to formulate the hypotheses.

2.5 Sampling Design

This stage of the research process involves an investigation of the population under study. A complete investigation of the population under study is known as a census inquiry. Usually, in census investigation, all units or items of the population are studied with high accuracy and reliability. However, it is usually not practicable and feasible for the researchers to study the entire population. Researchers usually prefer to investigate small, representative subgroups from the population known as sample. The procedure to select the sub-groups/samples is called sampling design. Sampling entails the process of drawing conclusions based on a subgroup of the population. Hence, the sample is a subset of the population. The first question that needs to be addressed in sampling is “who is to be included in the sample?” and this requires the identification of the target population under study. It is difficult for the researcher to define the population and sampling unit. For example, if a researcher wants to investigate the financial savings and vehicle loan association survey. In that case, individuals with existing accounts will be taken, and this sample unit represents the existing customers and not the potential customers. Hence, it is critical in sampling design to determine the specific target population.

Secondly, the issue that concerns the researchers in sampling design is selecting an appropriate sample size, and the third concern is selecting the sampling units. Researchers need to address these concerns to justify the research. Samples can be selected either using probability sampling techniques or non-probability sampling techniques. There are four types of probability sampling such as simple random, systematic, stratified, and cluster sampling. Non-probability sampling includes convenience, judgmental, quota, and snowball sampling. Depending on the objective, researchers should select the appropriate sampling techniques for their study.

2.6 Fieldwork and Gathering Data

After the formalization of the sampling plan, the fieldwork and data-gathering stage begins. The researcher gathers data after finalizing what to research, among whom, and which method to use. Data gathering involves the process of information collection. Different data collection instruments are available for researchers to collect information or data. Broadly, there are two ways to collect data, such as primary and secondary data collection methods. Primary data include data collected firsthand and are original. Varied methods are available for primary data collection, such as structured and unstructured interviews, focused group discussion, observation, and survey using a structured questionnaire. The data can be collected offline or online. Secondary data included information collected from published or unpublished sources that were already available. Some secondary data collection sources are articles, magazines, company records, expert opinion survey data, feedback of customers, government data, and past research on the subject. For example, to conduct a survey of job satisfaction in an organization, the researcher may circulate a printed questionnaire offline or mail the questionnaire to the selected respondents following an appropriate sampling technique.

Another example could be a study that investigates the purchase preference for luxury cars, and the base model demands primary and empirical information. However, another study that intended to describe the financial investment behavior of existing customers will use secondary data. At this stage, the researchers need to ensure the reliability and validity of the data obtained for the study.

2.7 Data Processing and Analysis

After data gathering, the data needs to be converted or properly coded to answer the research question under study. The information gathered in the data collection phase should be mined from the primary raw data. Data processing starts with data editing, coding, and tabulation. First, it is vital for the researchers to check the data collection forms for missing data, clarity, and consistency in categorization. The editing process involves problems associated with data, such as respondents’ response errors. Editing improves the quality of the data and makes the data usable for tabulation, analysis, and interpretation. Tabulation is a technical process in which classified data are presented in tables. Researchers use computers to feed data to a computer spreadsheet for data analysis. The preparation of a spreadsheet also requires lots of expertise and experience.

After coding the data, the next step is to analyze the data. Data analysis is the utilization of reasoning to make sense of data gathered. Ample statistical techniques are available for the researchers to analyze the data. Based on the research questions, objectives, study types, sampling framework used, data types, and degree of accuracy involved in the research, one can choose from parametric or non-parametric techniques for data analysis. Researchers may adopt univariate, bi-variate or multi-variate methods for data analysis. The analysis may include simple frequency analysis, multiple regression, or structural equation modeling. Different techniques are available for qualitative data, presented in Part 3 of this book.

2.8 Drawing Conclusion and Preparing a Report

After data analysis, the final stage in the research process is the interpretation of the results. The researcher requires analytical skills to interpret the statistical results, link the output with the research objectives, and state the implications of the result.

Research Design:  Research design is the blueprint/systematic steps to carry out research smoothly

Finally, researchers must communicate the result in the form of a report. The preparation of the final report needs to be done with the utmost care. The final report should include the identified research questions, research approach, data collection method, data analysis techniques, study findings, and implications for theory and practice. The structure of the report will be discussed in the last section of this book. The report should be prepared comprehensively to be usable by management or organizations for decision-making.

3. Classification of Research Design

This section highlights the classification of research design. As mentioned in the previous section, research design is the framework for carrying out management and other research. After the identification of a problem, the researchers formulate the research design. A good research design ensures the effectiveness of the research work. The choice of selecting an appropriate design relies on the research objectives. The broad categorization of research design with sub-categorization is detailed in various sub-sections.

3.1 Exploratory Research Design

Methods to Conduct Exploratory Research

• Literature survey
• Secondary sources of data
• Experience survey
• Focused group discussions
• Observations
• Structured and unstructured interviews
• Pilot surveys
• Case Studies

Exploratory research design is the simplest form of research design. The researchers explore the true nature of the problem. When researchers aim to study a new area or examine a new interest, exploratory design is a good option. This research design is flexible and versatile in approach. The information required by the researchers is defined loosely and unstructured. Researchers carrying out qualitative research usually adopt exploratory research design. Exploratory research design serves three purposes (a) it helps the researchers to address their inquisitiveness and quest for better understanding (b) to assess the practicality of carrying out border research (c) and devise methods for further studies.

Methods to Conduct Descriptive Research

• Self-administered survey
• Phone survey
• Mail survey/online survey
• Observation
• Personal interview
• Telephone interview

Exploratory research design has paramount significance in management and social science research. They are crucial for researchers who want to study something new. To cite an example, during the COVID-19 pandemic, physical health, mental health, and safety of school and college-going children were a concern for most people. The online education system was the new normal at that time. Research studying the impact of digitalization, long time spent in online studies on students’ health and mental well-being during the COVID-19 pandemic, is of an exploratory kind. One of the disadvantages of exploratory research design is that researchers rarely get specific answers to the research questions.

3.2 Descriptive Research Design

The prime objective of descriptive research design is to describe certain situations or events. This type of design provides an extensive explanation of the research phenomena under study. In descriptive research, the researchers possess prior knowledge about the problem situations. The information is defined with clarity. This kind of research is preplanned and more structured than exploratory research. Researchers must formulate research questions properly and have clarity regarding the types of data needed and the procedure to be followed to achieve the research objectives. Researchers have the luxury of covering a large representative sample. Researchers must answer five Ws and one H – what, who, when, where, why, and how of research issues. What kind of information is required for the research, who are the target respondents, when the information will be collected, where to interact with the respondents, why information is collected from the respondents and how to collect data from the respondents. Descriptive research studies can be cross-sectional or longitudinal. The major objectives for the following descriptive research are given below.

• To explain the characteristics of certain groups such as the Indian population, employees, students, marketing personnel, organizations, sales persons. For example, a university to design a customized online higher studies course for working professionals needs a holistic profile of the interested population.
• To evaluate the portion of individuals in a specific population portraying a typical behavior. For instance, when a researcher is inclined to know the percentage of employees not interested in an online platform introduced for them in their organization.
• To predict for future. For instance, to know the future of physical retail stores due to the widespread expansion of online stores.
• To examine the extent to which management research variables relate to each other. For example, to what extent does work-life balance, salary, and conducive work environment enhance employee job satisfaction?

3.3 Causal Research Design

Usually, causal research design is adopted by researchers to explain causal relationships among phenomena under study. Causal research examines cause-and-effect relationships among variables. Causal research has certain criteria, as already discussed in Chapter 1. Causal research follows a planned and structured design like descriptive research. Though the magnitude of the relationship among variables is examined in descriptive research, the causal association cannot be explained through such research. Experimentation is one of the methods for carrying out causal research.

In causal research, the researchers usually examine the impact of one variable on another. The researchers try to explore the cause-and-effect relationship (nomothetic explanation). How can the researcher know whether cause and effect are associated? There are three criteria for a nomothetic causal relationship when (1) two or more variables are correlated, (2) the cause precedes the effect and (3) the absence of a plausible alternative explanation for the effect other than the proposed cause (Babbie, 2020). First, without establishing a correlation among two or more variables, causation cannot exist. Second, the cause should happen before the effect in time. For instance, it is more sensible to say that children’s religious affiliation is caused by their parents than to reflect that parents’ religious affiliation is due to children; even in some cases, it is plausible that children may convert to other religions later with their parent’s permission. The third significant condition for a causal relationship is that the effect cannot be attributed to any external third variable for establishing causation.

To cite one classic example, there is a causal association between sales of ice cream and death owing to drowning. Intake of more ice creams in summer does lead to a higher death rate due to drowning. The third intervening variable that causes higher death is season or temperature. In summer, higher deaths occur due to swimming and not because of taking ice-creams. The intervening variable season or temperature causes a higher death rate.

To establish a reliable causal relationship among two or more variables, other influencing variables must be controlled to neutralize their impact on the studied variables. For example, to study the effect of factors influencing training transfer in soft skill training, the other intervening variables such as age, gender, and educational qualification need to be controlled. This kind of research sometimes demands experimentation to establish causality. In most cases, causal research is quantitative and needs statistical hypothesis testing.

3.4 Experimental Research Design

Experimental research aims to examine the cause-effect relationship in a controlled setting by isolating the cause from the effect in time. The three criteria suggested by John Stuart Mill mirror in experimental research. In experimental research, the cause is administered to one group of subjects, known as the treatment group and not to the control group, and the researchers observe the difference in mean effect among the subjects of both groups. Whether variation in the cause is connected to variation in effect is observed. To be more specific, the researcher manipulates the independent variable and examines the change in the dependent variable, keeping other variables constant. Researchers used varied methods during the experiments to reduce the plausible effect of other explanations for the effect, along with ancillary methods to investigate the plausibility of those that cannot be ruled out. It is vital in experimental studies to control the extraneous and confounding variables while carrying out the experiments. Ignorance of such variables may lead to spurious relationships among studied variables. However, bringing many of the variables under experimental control is impossible. For example, personal characteristics of the subject like age, sex, intelligence, beliefs and persona. In such cases, the researchers must observe natural variations in the variables of concern. Then, statistical procedures are used to rule out the plausible impact of uncontrolled factors.

Experimental Research Design:  An experiment is a method of collecting evidence to indicate the effect of one variable on another.

Experimental research design can be conducted in a laboratory setting (laboratory experiment) or in a field setting (field experiments) where the phenomena of research interest happen. As an example, one of the most talked about and controversial experiments conducted on understanding human behavior has been the Stanford Prison Experiments, which took place at Stanford University in 1971. The experiments were funded by the US Office of Naval Research, and the principal investigator for the same was Prof Phillip Zimbardo. The major purpose of these experiments was to understand how norms develop and social expectations about roles shape group behavior. Experimental studies are segregated into four categories such as pre-experimental, true-experimental, quasi-experimental and statistical design.

3.4.1 Correlation, Causation and Cofounds

Correlation cannot be treated as causation, and correlation does not always prove causation. In correlation, it is unclear which variable comes first or whether any alternative explanation exists for the assumed effect. Two variables may be correlated due to chance. Correlation is symmetric, while causation is asymmetric. Two variables may be co-related, but their relationship may be affected by a third variable called cofounds. For example, let’s say that high salary and high educational qualifications are correlated. It is difficult to say with confirmation which comes first. Whether a high educational qualification leads to a high salary, or a high salary leads to a high educational qualification. Both possibilities can hold true and necessitate further investigation. Until researchers conclude through their investigation, a mere correlation among these two variables will not give a clear picture of their causal relationship. There is also the possibility of an alternative explanation for the relationship between high salary and high educational qualifications. The link may be due to a third variable called intellect, which results in high salary and high educational qualifications.

In management research, social science, and natural science, three significant pairs of components are required for experimentation: Experimental and control group, independent and dependent variable, and pre-test and post-test.

3.4.1.1 Experimental and Control Group

The group in which an experimental treatment is administered is known as the experimental or treatment group. In contrast, the group in which no experiment is administered is known as the control group. Using control groups enables the researchers to assess the experiment’s effects. For example, suppose a researcher wants to study the impact of rewards on employee productivity in an organization. In that case, the researcher can experiment with two groups of employees. One group will be given external rewards, known as the experimental group, and the other group (control group) will provide no external rewards. Then, the researcher can investigate the causal association between rewards on employees’ productivity through this experiment. The use of a control group is quite common in medical science research. In social science and management research, the use of control groups and experimental studies became popular with several experiments conducted in the late 1920s and early 1930s by F. J. Roethlisberger and W. J. Dickson (1939) to discover the changes required in working conditions to enhance employee satisfaction and productivity. Their series of experiments resulted in the Hawthorne effect.

3.4.1.2 Independent and Dependent Variables

In experimental research, the researchers study the impact of an independent variable on the dependent variable. Usually, experimental stimuli, whether present or absent, are considered independent variables. Independent variables are manipulated in the study, and their effects are assessed and compared. The researchers compare outcomes when the stimulus is present and not present. Hence, the independent variable is the cause, and the dependent variable is the presumed effect. It is to be noted that the independent variable in one study may serve as a dependent variable in another study. For example, an experiment intends to explore the causality between high salary and job satisfaction, job satisfaction is the dependent variable. However, in another experiment designed to explore the causality between job satisfaction and employee productivity, job satisfaction is the independent variable.

3.4.1.3 Pre- and Post-test

In an experiment, the experimenters measure the variable before conducting the experiment on the group known as the pre-test and measure the variable after conducting the experiments is called as post-test. Hence, subjects are exposed to a stimulus called a dependent variable (pre-testing), then exposed to a stimulus, i.e., independent variable, and again assessed with a dependent variable (post-testing). Any discrepancies between the two measurements of dependent variables are ascribed to the independent variable.

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Updates to the Electronic Clinical Data Distinction in Health Plan Report Cards

September 16, 2024 · NCQA Communications

NCQA has discontinued the Electronic Clinical Data Distinction in our Health Plan Report Cards . NCQA introduced the Electronic Clinical Data Distinction in 2021 to highlight organizations that reported quality measures leveraging electronic clinical data. The 2023 Report Card, representing HEDIS MY 2022, was the final year for organizations to earn the Distinction.

Health plans are at different stages of readiness for leveraging clinical data; we recognize that it takes time to shift resources to capturing and sharing information digitally. NCQA’s strategy has been to introduce measures for optional reporting, and slowly phase them into public reporting status. During this transition we wanted to highlight those health plans that are going the “extra mile” to report new and sometimes challenging quality measures.

Public Reporting – An Essential Step Toward Progress

To earn the Distinction, organizations were required to report a performance rate of >0 for at least one measure introduced for the HEDIS ECDS Reporting Standard that was not yet publicly reported. Over time, the number of measures in the Distinction decreased as more measures advanced to public reporting status. Public reporting helps to foster accountability and transparency; also, it is essential to enabling increased reporting and better use and exchange of clinical data. As of MY 2023, only one ECDS measure is not publicly reported: Social Needs Screening and Intervention (SNS-E) . Providing the Distinction for one measure does not meet its original intent, so we discontinued it in 2024.

Over the last 3 years, many health plans across product lines have earned the Distinction. In MY 2022, this included 77% of commercial plans, 36% of Medicaid plans and 30% of Medicare plans. Although challenges remain, this is an indication of the progress plans are making toward leveraging more electronic clinical data for quality measurement.

What’s Next?

Using and sharing clinical data enriches the information available to patients, providers and health plans; addresses relevant clinical outcomes; and better supports care improvement activities. Measures that leverage clinical data captured routinely during care delivery can also reduce providers’ burden to collect data for quality reporting.

NCQA continues to develop new digital measures that address populations, treatments and health outcomes not previously included in HEDIS because of the limitations of traditional data sources. We recently introduced three new measures specified for the ECDS reporting method for MY 2025. We will continue to support adoption of these measures, encourage public reporting and uptake in programs and explore other opportunities to highlight organizations efforts to drive improvement.

See the ECDS webpage for updates and resources related to ECDS reporting.

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