what is the example of research project

17 Research Proposal Examples

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

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A research proposal systematically and transparently outlines a proposed research project.

The purpose of a research proposal is to demonstrate a project’s viability and the researcher’s preparedness to conduct an academic study. It serves as a roadmap for the researcher.

The process holds value both externally (for accountability purposes and often as a requirement for a grant application) and intrinsic value (for helping the researcher to clarify the mechanics, purpose, and potential signficance of the study).

Key sections of a research proposal include: the title, abstract, introduction, literature review, research design and methods, timeline, budget, outcomes and implications, references, and appendix. Each is briefly explained below.

Watch my Guide: How to Write a Research Proposal

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Research Proposal Sample Structure

Title: The title should present a concise and descriptive statement that clearly conveys the core idea of the research projects. Make it as specific as possible. The reader should immediately be able to grasp the core idea of the intended research project. Often, the title is left too vague and does not help give an understanding of what exactly the study looks at.

Abstract: Abstracts are usually around 250-300 words and provide an overview of what is to follow – including the research problem , objectives, methods, expected outcomes, and significance of the study. Use it as a roadmap and ensure that, if the abstract is the only thing someone reads, they’ll get a good fly-by of what will be discussed in the peice.

Introduction: Introductions are all about contextualization. They often set the background information with a statement of the problem. At the end of the introduction, the reader should understand what the rationale for the study truly is. I like to see the research questions or hypotheses included in the introduction and I like to get a good understanding of what the significance of the research will be. It’s often easiest to write the introduction last

Literature Review: The literature review dives deep into the existing literature on the topic, demosntrating your thorough understanding of the existing literature including themes, strengths, weaknesses, and gaps in the literature. It serves both to demonstrate your knowledge of the field and, to demonstrate how the proposed study will fit alongside the literature on the topic. A good literature review concludes by clearly demonstrating how your research will contribute something new and innovative to the conversation in the literature.

Research Design and Methods: This section needs to clearly demonstrate how the data will be gathered and analyzed in a systematic and academically sound manner. Here, you need to demonstrate that the conclusions of your research will be both valid and reliable. Common points discussed in the research design and methods section include highlighting the research paradigm, methodologies, intended population or sample to be studied, data collection techniques, and data analysis procedures . Toward the end of this section, you are encouraged to also address ethical considerations and limitations of the research process , but also to explain why you chose your research design and how you are mitigating the identified risks and limitations.

Timeline: Provide an outline of the anticipated timeline for the study. Break it down into its various stages (including data collection, data analysis, and report writing). The goal of this section is firstly to establish a reasonable breakdown of steps for you to follow and secondly to demonstrate to the assessors that your project is practicable and feasible.

Budget: Estimate the costs associated with the research project and include evidence for your estimations. Typical costs include staffing costs, equipment, travel, and data collection tools. When applying for a scholarship, the budget should demonstrate that you are being responsible with your expensive and that your funding application is reasonable.

Expected Outcomes and Implications: A discussion of the anticipated findings or results of the research, as well as the potential contributions to the existing knowledge, theory, or practice in the field. This section should also address the potential impact of the research on relevant stakeholders and any broader implications for policy or practice.

References: A complete list of all the sources cited in the research proposal, formatted according to the required citation style. This demonstrates the researcher’s familiarity with the relevant literature and ensures proper attribution of ideas and information.

Appendices (if applicable): Any additional materials, such as questionnaires, interview guides, or consent forms, that provide further information or support for the research proposal. These materials should be included as appendices at the end of the document.

Research Proposal Examples

Research proposals often extend anywhere between 2,000 and 15,000 words in length. The following snippets are samples designed to briefly demonstrate what might be discussed in each section.

1. Education Studies Research Proposals

See some real sample pieces:

• Assessment of the perceptions of teachers towards a new grading system
• Does ICT use in secondary classrooms help or hinder student learning?
• Digital technologies in focus project
• Urban Middle School Teachers’ Experiences of the Implementation of
• Restorative Justice Practices
• Experiences of students of color in service learning

Consider this hypothetical education research proposal:

The Impact of Game-Based Learning on Student Engagement and Academic Performance in Middle School Mathematics

Abstract: The proposed study will explore multiplayer game-based learning techniques in middle school mathematics curricula and their effects on student engagement. The study aims to contribute to the current literature on game-based learning by examining the effects of multiplayer gaming in learning.

Introduction: Digital game-based learning has long been shunned within mathematics education for fears that it may distract students or lower the academic integrity of the classrooms. However, there is emerging evidence that digital games in math have emerging benefits not only for engagement but also academic skill development. Contributing to this discourse, this study seeks to explore the potential benefits of multiplayer digital game-based learning by examining its impact on middle school students’ engagement and academic performance in a mathematics class.

Literature Review: The literature review has identified gaps in the current knowledge, namely, while game-based learning has been extensively explored, the role of multiplayer games in supporting learning has not been studied.

Research Design and Methods: This study will employ a mixed-methods research design based upon action research in the classroom. A quasi-experimental pre-test/post-test control group design will first be used to compare the academic performance and engagement of middle school students exposed to game-based learning techniques with those in a control group receiving instruction without the aid of technology. Students will also be observed and interviewed in regard to the effect of communication and collaboration during gameplay on their learning.

Timeline: The study will take place across the second term of the school year with a pre-test taking place on the first day of the term and the post-test taking place on Wednesday in Week 10.

Budget: The key budgetary requirements will be the technologies required, including the subscription cost for the identified games and computers.

Expected Outcomes and Implications: It is expected that the findings will contribute to the current literature on game-based learning and inform educational practices, providing educators and policymakers with insights into how to better support student achievement in mathematics.

2. Psychology Research Proposals

See some real examples:

• A situational analysis of shared leadership in a self-managing team
• The effect of musical preference on running performance
• Relationship between self-esteem and disordered eating amongst adolescent females

Consider this hypothetical psychology research proposal:

The Effects of Mindfulness-Based Interventions on Stress Reduction in College Students

Abstract: This research proposal examines the impact of mindfulness-based interventions on stress reduction among college students, using a pre-test/post-test experimental design with both quantitative and qualitative data collection methods .

Introduction: College students face heightened stress levels during exam weeks. This can affect both mental health and test performance. This study explores the potential benefits of mindfulness-based interventions such as meditation as a way to mediate stress levels in the weeks leading up to exam time.

Literature Review: Existing research on mindfulness-based meditation has shown the ability for mindfulness to increase metacognition, decrease anxiety levels, and decrease stress. Existing literature has looked at workplace, high school and general college-level applications. This study will contribute to the corpus of literature by exploring the effects of mindfulness directly in the context of exam weeks.

Research Design and Methods: Participants ( n= 234 ) will be randomly assigned to either an experimental group, receiving 5 days per week of 10-minute mindfulness-based interventions, or a control group, receiving no intervention. Data will be collected through self-report questionnaires, measuring stress levels, semi-structured interviews exploring participants’ experiences, and students’ test scores.

Timeline: The study will begin three weeks before the students’ exam week and conclude after each student’s final exam. Data collection will occur at the beginning (pre-test of self-reported stress levels) and end (post-test) of the three weeks.

Expected Outcomes and Implications: The study aims to provide evidence supporting the effectiveness of mindfulness-based interventions in reducing stress among college students in the lead up to exams, with potential implications for mental health support and stress management programs on college campuses.

3. Sociology Research Proposals

• Understanding emerging social movements: A case study of ‘Jersey in Transition’
• The interaction of health, education and employment in Western China
• Can we preserve lower-income affordable neighbourhoods in the face of rising costs?

Consider this hypothetical sociology research proposal:

The Impact of Social Media Usage on Interpersonal Relationships among Young Adults

Abstract: This research proposal investigates the effects of social media usage on interpersonal relationships among young adults, using a longitudinal mixed-methods approach with ongoing semi-structured interviews to collect qualitative data.

Introduction: Social media platforms have become a key medium for the development of interpersonal relationships, particularly for young adults. This study examines the potential positive and negative effects of social media usage on young adults’ relationships and development over time.

Literature Review: A preliminary review of relevant literature has demonstrated that social media usage is central to development of a personal identity and relationships with others with similar subcultural interests. However, it has also been accompanied by data on mental health deline and deteriorating off-screen relationships. The literature is to-date lacking important longitudinal data on these topics.

Research Design and Methods: Participants ( n = 454 ) will be young adults aged 18-24. Ongoing self-report surveys will assess participants’ social media usage, relationship satisfaction, and communication patterns. A subset of participants will be selected for longitudinal in-depth interviews starting at age 18 and continuing for 5 years.

Timeline: The study will be conducted over a period of five years, including recruitment, data collection, analysis, and report writing.

Expected Outcomes and Implications: This study aims to provide insights into the complex relationship between social media usage and interpersonal relationships among young adults, potentially informing social policies and mental health support related to social media use.

4. Nursing Research Proposals

• Does Orthopaedic Pre-assessment clinic prepare the patient for admission to hospital?
• Nurses’ perceptions and experiences of providing psychological care to burns patients
• Registered psychiatric nurse’s practice with mentally ill parents and their children

Consider this hypothetical nursing research proposal:

The Influence of Nurse-Patient Communication on Patient Satisfaction and Health Outcomes following Emergency Cesarians

Abstract: This research will examines the impact of effective nurse-patient communication on patient satisfaction and health outcomes for women following c-sections, utilizing a mixed-methods approach with patient surveys and semi-structured interviews.

Introduction: It has long been known that effective communication between nurses and patients is crucial for quality care. However, additional complications arise following emergency c-sections due to the interaction between new mother’s changing roles and recovery from surgery.

Literature Review: A review of the literature demonstrates the importance of nurse-patient communication, its impact on patient satisfaction, and potential links to health outcomes. However, communication between nurses and new mothers is less examined, and the specific experiences of those who have given birth via emergency c-section are to date unexamined.

Research Design and Methods: Participants will be patients in a hospital setting who have recently had an emergency c-section. A self-report survey will assess their satisfaction with nurse-patient communication and perceived health outcomes. A subset of participants will be selected for in-depth interviews to explore their experiences and perceptions of the communication with their nurses.

Timeline: The study will be conducted over a period of six months, including rolling recruitment, data collection, analysis, and report writing within the hospital.

Expected Outcomes and Implications: This study aims to provide evidence for the significance of nurse-patient communication in supporting new mothers who have had an emergency c-section. Recommendations will be presented for supporting nurses and midwives in improving outcomes for new mothers who had complications during birth.

5. Social Work Research Proposals

• Experiences of negotiating employment and caring responsibilities of fathers post-divorce
• Exploring kinship care in the north region of British Columbia

Consider this hypothetical social work research proposal:

The Role of a Family-Centered Intervention in Preventing Homelessness Among At-Risk Youthin a working-class town in Northern England

Abstract: This research proposal investigates the effectiveness of a family-centered intervention provided by a local council area in preventing homelessness among at-risk youth. This case study will use a mixed-methods approach with program evaluation data and semi-structured interviews to collect quantitative and qualitative data .

Introduction: Homelessness among youth remains a significant social issue. This study aims to assess the effectiveness of family-centered interventions in addressing this problem and identify factors that contribute to successful prevention strategies.

Literature Review: A review of the literature has demonstrated several key factors contributing to youth homelessness including lack of parental support, lack of social support, and low levels of family involvement. It also demonstrates the important role of family-centered interventions in addressing this issue. Drawing on current evidence, this study explores the effectiveness of one such intervention in preventing homelessness among at-risk youth in a working-class town in Northern England.

Research Design and Methods: The study will evaluate a new family-centered intervention program targeting at-risk youth and their families. Quantitative data on program outcomes, including housing stability and family functioning, will be collected through program records and evaluation reports. Semi-structured interviews with program staff, participants, and relevant stakeholders will provide qualitative insights into the factors contributing to program success or failure.

Timeline: The study will be conducted over a period of six months, including recruitment, data collection, analysis, and report writing.

Budget: Expenses include access to program evaluation data, interview materials, data analysis software, and any related travel costs for in-person interviews.

Expected Outcomes and Implications: This study aims to provide evidence for the effectiveness of family-centered interventions in preventing youth homelessness, potentially informing the expansion of or necessary changes to social work practices in Northern England.

Research Proposal Template

Get your Detailed Template for Writing your Research Proposal Here (With AI Prompts!)

This is a template for a 2500-word research proposal. You may find it difficult to squeeze everything into this wordcount, but it’s a common wordcount for Honors and MA-level dissertations.

Your research proposal is where you really get going with your study. I’d strongly recommend working closely with your teacher in developing a research proposal that’s consistent with the requirements and culture of your institution, as in my experience it varies considerably. The above template is from my own courses that walk students through research proposals in a British School of Education.

• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 25 Number Games for Kids (Free and Easy)
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 25 Word Games for Kids (Free and Easy)
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 25 Outdoor Games for Kids
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 50 Incentives to Give to Students

8 thoughts on “17 Research Proposal Examples”

Very excellent research proposals

very helpful

Very helpful

Dear Sir, I need some help to write an educational research proposal. Thank you.

Hi Levi, use the site search bar to ask a question and I’ll likely have a guide already written for your specific question. Thanks for reading!

very good research proposal

Thank you so much sir! ❤️

Very helpful 👌

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The Essential Guide to Doing Your Research Project

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How to do a research project for your academic study

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Writing a research report is part of most university degrees, so it is essential you know what one is and how to write one. This guide on how to do a research project for your university degree shows you what to do at each stage, taking you from planning to finishing the project.

What is a research project? 

The big question is: what is a research project? A research project for students is an extended essay that presents a question or statement for analysis and evaluation. During a research project, you will present your own ideas and research on a subject alongside analysing existing knowledge. 

How to write a research report 

The next section covers the research project steps necessary to producing a research paper. 

Developing a research question or statement 

Research project topics will vary depending on the course you study. The best research project ideas develop from areas you already have an interest in and where you have existing knowledge. 

The area of study needs to be specific as it will be much easier to cover fully. If your topic is too broad, you are at risk of not having an in-depth project. You can, however, also make your topic too narrow and there will not be enough research to be done. To make sure you don’t run into either of these problems, it’s a great idea to create sub-topics and questions to ensure you are able to complete suitable research. 

A research project example question would be: How will modern technologies change the way of teaching in the future? 

Finding and evaluating sources 

Secondary research is a large part of your research project as it makes up the literature review section. It is essential to use credible sources as failing to do so may decrease the validity of your research project.

Examples of secondary research include:

• Peer-reviewed journals
• Scholarly articles
• Newspapers 

Great places to find your sources are the University library and Google Scholar. Both will give you many opportunities to find the credible sources you need. However, you need to make sure you are evaluating whether they are fit for purpose before including them in your research project as you do not want to include out of date information. 

When evaluating sources, you need to ask yourself:

• Is the information provided by an expert?
• How well does the source answer the research question?
• What does the source contribute to its field?
• Is the source valid? e.g. does it contain bias and is the information up-to-date?

It is important to ensure that you have a variety of sources in order to avoid bias. A successful research paper will present more than one point of view and the best way to do this is to not rely too heavily on just one author or publication. 

Conducting research 

For a research project, you will need to conduct primary research. This is the original research you will gather to further develop your research project. The most common types of primary research are interviews and surveys as these allow for many and varied results. 

Examples of primary research include: 

• Interviews and surveys 
• Focus groups 
• Experiments 
• Research diaries 

If you are looking to study in the UK and have an interest in bettering your research skills, The University of Sheffield is a  world top 100 research university  which will provide great research opportunities and resources for your project. 

Research report format  

Now that you understand the basics of how to write a research project, you now need to look at what goes into each section. The research project format is just as important as the research itself. Without a clear structure you will not be able to present your findings concisely. 

A research paper is made up of seven sections: introduction, literature review, methodology, findings and results, discussion, conclusion, and references. You need to make sure you are including a list of correctly cited references to avoid accusations of plagiarism. 

Introduction 

The introduction is where you will present your hypothesis and provide context for why you are doing the project. Here you will include relevant background information, present your research aims and explain why the research is important. 

Literature review  

The literature review is where you will analyse and evaluate existing research within your subject area. This section is where your secondary research will be presented. A literature review is an integral part of your research project as it brings validity to your research aims. 

What to include when writing your literature review:

• A description of the publications
• A summary of the main points
• An evaluation on the contribution to the area of study
• Potential flaws and gaps in the research 

Methodology

The research paper methodology outlines the process of your data collection. This is where you will present your primary research. The aim of the methodology section is to answer two questions: 

• Why did you select the research methods you used?
• How do these methods contribute towards your research hypothesis? 

In this section you will not be writing about your findings, but the ways in which you are going to try and achieve them. You need to state whether your methodology will be qualitative, quantitative, or mixed. 

• Qualitative – first hand observations such as interviews, focus groups, case studies and questionnaires. The data collected will generally be non-numerical. 
• Quantitative – research that deals in numbers and logic. The data collected will focus on statistics and numerical patterns.
• Mixed – includes both quantitative and qualitative research.

The methodology section should always be written in the past tense, even if you have already started your data collection. 

Findings and results 

In this section you will present the findings and results of your primary research. Here you will give a concise and factual summary of your findings using tables and graphs where appropriate. 

Discussion 

The discussion section is where you will talk about your findings in detail. Here you need to relate your results to your hypothesis, explaining what you found out and the significance of the research. 

It is a good idea to talk about any areas with disappointing or surprising results and address the limitations within the research project. This will balance your project and steer you away from bias.

Some questions to consider when writing your discussion: 

• To what extent was the hypothesis supported?
• Was your research method appropriate?
• Was there unexpected data that affected your results?
• To what extent was your research validated by other sources?

Conclusion 

The conclusion is where you will bring your research project to a close. In this section you will not only be restating your research aims and how you achieved them, but also discussing the wider significance of your research project. You will talk about the successes and failures of the project, and how you would approach further study. 

It is essential you do not bring any new ideas into your conclusion; this section is used only to summarise what you have already stated in the project. 

References 

As a research project is your own ideas blended with information and research from existing knowledge, you must include a list of correctly cited references. Creating a list of references will allow the reader to easily evaluate the quality of your secondary research whilst also saving you from potential plagiarism accusations. 

The way in which you cite your sources will vary depending on the university standard.

If you are an international student looking to  study a degree in the UK , The University of Sheffield International College has a range of  pathway programmes  to prepare you for university study. Undertaking a Research Project is one of the core modules for the  Pre-Masters programme  at The University of Sheffield International College.

Frequently Asked Questions 

What is the best topic for research .

It’s a good idea to choose a topic you have existing knowledge on, or one that you are interested in. This will make the research process easier; as you have an idea of where and what to look for in your sources, as well as more enjoyable as it’s a topic you want to know more about.

What should a research project include? 

There are seven main sections to a research project, these are:

• Introduction – the aims of the project and what you hope to achieve
• Literature review – evaluating and reviewing existing knowledge on the topic
• Methodology – the methods you will use for your primary research
• Findings and results – presenting the data from your primary research
• Discussion – summarising and analysing your research and what you have found out
• Conclusion – how the project went (successes and failures), areas for future study
• List of references – correctly cited sources that have been used throughout the project. 

How long is a research project? 

The length of a research project will depend on the level study and the nature of the subject. There is no one length for research papers, however the average dissertation style essay can be anywhere from 4,000 to 15,000+ words. 

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• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on 30 October 2022 by Shona McCombes and Tegan George. Revised on 13 June 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organised and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, frequently asked questions.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

Prevent plagiarism, run a free check.

Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: ‘A Conceptual Framework for Scheduling Constraint Management’
• Example research proposal #2: ‘ Medical Students as Mediators of Change in Tobacco Use’

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesise prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasise again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement.

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

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How to Write a Research Proposal: (with Examples & Templates)

Table of Contents

Before conducting a study, a research proposal should be created that outlines researchers’ plans and methodology and is submitted to the concerned evaluating organization or person. Creating a research proposal is an important step to ensure that researchers are on track and are moving forward as intended. A research proposal can be defined as a detailed plan or blueprint for the proposed research that you intend to undertake. It provides readers with a snapshot of your project by describing what you will investigate, why it is needed, and how you will conduct the research.  

Your research proposal should aim to explain to the readers why your research is relevant and original, that you understand the context and current scenario in the field, have the appropriate resources to conduct the research, and that the research is feasible given the usual constraints.  

This article will describe in detail the purpose and typical structure of a research proposal , along with examples and templates to help you ace this step in your research journey.  

What is a Research Proposal ?  

A research proposal¹ ,²  can be defined as a formal report that describes your proposed research, its objectives, methodology, implications, and other important details. Research proposals are the framework of your research and are used to obtain approvals or grants to conduct the study from various committees or organizations. Consequently, research proposals should convince readers of your study’s credibility, accuracy, achievability, practicality, and reproducibility.   

With research proposals , researchers usually aim to persuade the readers, funding agencies, educational institutions, and supervisors to approve the proposal. To achieve this, the report should be well structured with the objectives written in clear, understandable language devoid of jargon. A well-organized research proposal conveys to the readers or evaluators that the writer has thought out the research plan meticulously and has the resources to ensure timely completion.  

Purpose of Research Proposals  

A research proposal is a sales pitch and therefore should be detailed enough to convince your readers, who could be supervisors, ethics committees, universities, etc., that what you’re proposing has merit and is feasible . Research proposals can help students discuss their dissertation with their faculty or fulfill course requirements and also help researchers obtain funding. A well-structured proposal instills confidence among readers about your ability to conduct and complete the study as proposed.  

Research proposals can be written for several reasons:³  

• To describe the importance of research in the specific topic  
• Address any potential challenges you may encounter  
• Showcase knowledge in the field and your ability to conduct a study  
• Apply for a role at a research institute  
• Convince a research supervisor or university that your research can satisfy the requirements of a degree program  
• Highlight the importance of your research to organizations that may sponsor your project  
• Identify implications of your project and how it can benefit the audience  

What Goes in a Research Proposal?    

Research proposals should aim to answer the three basic questions—what, why, and how.  

The What question should be answered by describing the specific subject being researched. It should typically include the objectives, the cohort details, and the location or setting.  

The Why question should be answered by describing the existing scenario of the subject, listing unanswered questions, identifying gaps in the existing research, and describing how your study can address these gaps, along with the implications and significance.  

The How question should be answered by describing the proposed research methodology, data analysis tools expected to be used, and other details to describe your proposed methodology.   

Research Proposal Example  

Here is a research proposal sample template (with examples) from the University of Rochester Medical Center. 4 The sections in all research proposals are essentially the same although different terminology and other specific sections may be used depending on the subject.  

Structure of a Research Proposal  

If you want to know how to make a research proposal impactful, include the following components:¹  

1. Introduction  

This section provides a background of the study, including the research topic, what is already known about it and the gaps, and the significance of the proposed research.  

2. Literature review  

This section contains descriptions of all the previous relevant studies pertaining to the research topic. Every study cited should be described in a few sentences, starting with the general studies to the more specific ones. This section builds on the understanding gained by readers in the Introduction section and supports it by citing relevant prior literature, indicating to readers that you have thoroughly researched your subject.  

3. Objectives  

Once the background and gaps in the research topic have been established, authors must now state the aims of the research clearly. Hypotheses should be mentioned here. This section further helps readers understand what your study’s specific goals are.  

4. Research design and methodology  

Here, authors should clearly describe the methods they intend to use to achieve their proposed objectives. Important components of this section include the population and sample size, data collection and analysis methods and duration, statistical analysis software, measures to avoid bias (randomization, blinding), etc.  

5. Ethical considerations  

This refers to the protection of participants’ rights, such as the right to privacy, right to confidentiality, etc. Researchers need to obtain informed consent and institutional review approval by the required authorities and mention this clearly for transparency.  

6. Budget/funding  

Researchers should prepare their budget and include all expected expenditures. An additional allowance for contingencies such as delays should also be factored in.  

7. Appendices  

This section typically includes information that supports the research proposal and may include informed consent forms, questionnaires, participant information, measurement tools, etc.  

8. Citations  

Important Tips for Writing a Research Proposal  

Writing a research proposal begins much before the actual task of writing. Planning the research proposal structure and content is an important stage, which if done efficiently, can help you seamlessly transition into the writing stage. 3,5  

The Planning Stage  

• Manage your time efficiently. Plan to have the draft version ready at least two weeks before your deadline and the final version at least two to three days before the deadline.
• What is the primary objective of your research?  
• Will your research address any existing gap?  
• What is the impact of your proposed research?  
• Do people outside your field find your research applicable in other areas?  
• If your research is unsuccessful, would there still be other useful research outcomes?  

  The Writing Stage  

• Create an outline with main section headings that are typically used.  
• Focus only on writing and getting your points across without worrying about the format of the research proposal , grammar, punctuation, etc. These can be fixed during the subsequent passes. Add details to each section heading you created in the beginning.   
• Ensure your sentences are concise and use plain language. A research proposal usually contains about 2,000 to 4,000 words or four to seven pages.  
• Don’t use too many technical terms and abbreviations assuming that the readers would know them. Define the abbreviations and technical terms.  
• Ensure that the entire content is readable. Avoid using long paragraphs because they affect the continuity in reading. Break them into shorter paragraphs and introduce some white space for readability.  
• Focus on only the major research issues and cite sources accordingly. Don’t include generic information or their sources in the literature review.  
• Proofread your final document to ensure there are no grammatical errors so readers can enjoy a seamless, uninterrupted read.  
• Use academic, scholarly language because it brings formality into a document.  
• Ensure that your title is created using the keywords in the document and is neither too long and specific nor too short and general.  
• Cite all sources appropriately to avoid plagiarism.  
• Make sure that you follow guidelines, if provided. This includes rules as simple as using a specific font or a hyphen or en dash between numerical ranges.  
• Ensure that you’ve answered all questions requested by the evaluating authority.  

Key Takeaways   

Here’s a summary of the main points about research proposals discussed in the previous sections:  

• A research proposal is a document that outlines the details of a proposed study and is created by researchers to submit to evaluators who could be research institutions, universities, faculty, etc.  
• Research proposals are usually about 2,000-4,000 words long, but this depends on the evaluating authority’s guidelines.  
• A good research proposal ensures that you’ve done your background research and assessed the feasibility of the research.  
• Research proposals have the following main sections—introduction, literature review, objectives, methodology, ethical considerations, and budget.  

Frequently Asked Questions  

Q1. How is a research proposal evaluated?  

A1. In general, most evaluators, including universities, broadly use the following criteria to evaluate research proposals . 6  

• Significance —Does the research address any important subject or issue, which may or may not be specific to the evaluator or university?  
• Content and design —Is the proposed methodology appropriate to answer the research question? Are the objectives clear and well aligned with the proposed methodology?  
• Sample size and selection —Is the target population or cohort size clearly mentioned? Is the sampling process used to select participants randomized, appropriate, and free of bias?  
• Timing —Are the proposed data collection dates mentioned clearly? Is the project feasible given the specified resources and timeline?  
• Data management and dissemination —Who will have access to the data? What is the plan for data analysis?  

Q2. What is the difference between the Introduction and Literature Review sections in a research proposal ?  

A2. The Introduction or Background section in a research proposal sets the context of the study by describing the current scenario of the subject and identifying the gaps and need for the research. A Literature Review, on the other hand, provides references to all prior relevant literature to help corroborate the gaps identified and the research need.  

Q3. How long should a research proposal be?  

A3. Research proposal lengths vary with the evaluating authority like universities or committees and also the subject. Here’s a table that lists the typical research proposal lengths for a few universities.  

Q4. What are the common mistakes to avoid in a research proposal ?  

A4. Here are a few common mistakes that you must avoid while writing a research proposal . 7  

• No clear objectives: Objectives should be clear, specific, and measurable for the easy understanding among readers.  
• Incomplete or unconvincing background research: Background research usually includes a review of the current scenario of the particular industry and also a review of the previous literature on the subject. This helps readers understand your reasons for undertaking this research because you identified gaps in the existing research.  
• Overlooking project feasibility: The project scope and estimates should be realistic considering the resources and time available.   
• Neglecting the impact and significance of the study: In a research proposal , readers and evaluators look for the implications or significance of your research and how it contributes to the existing research. This information should always be included.  
• Unstructured format of a research proposal : A well-structured document gives confidence to evaluators that you have read the guidelines carefully and are well organized in your approach, consequently affirming that you will be able to undertake the research as mentioned in your proposal.  
• Ineffective writing style: The language used should be formal and grammatically correct. If required, editors could be consulted, including AI-based tools such as Paperpal , to refine the research proposal structure and language.  

Thus, a research proposal is an essential document that can help you promote your research and secure funds and grants for conducting your research. Consequently, it should be well written in clear language and include all essential details to convince the evaluators of your ability to conduct the research as proposed.  

This article has described all the important components of a research proposal and has also provided tips to improve your writing style. We hope all these tips will help you write a well-structured research proposal to ensure receipt of grants or any other purpose.  

References  

• Sudheesh K, Duggappa DR, Nethra SS. How to write a research proposal? Indian J Anaesth. 2016;60(9):631-634. Accessed July 15, 2024. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037942/  
• Writing research proposals. Harvard College Office of Undergraduate Research and Fellowships. Harvard University. Accessed July 14, 2024. https://uraf.harvard.edu/apply-opportunities/app-components/essays/research-proposals  
• What is a research proposal? Plus how to write one. Indeed website. Accessed July 17, 2024. https://www.indeed.com/career-advice/career-development/research-proposal  
• Research proposal template. University of Rochester Medical Center. Accessed July 16, 2024. https://www.urmc.rochester.edu/MediaLibraries/URMCMedia/pediatrics/research/documents/Research-proposal-Template.pdf  
• Tips for successful proposal writing. Johns Hopkins University. Accessed July 17, 2024. https://research.jhu.edu/wp-content/uploads/2018/09/Tips-for-Successful-Proposal-Writing.pdf  
• Formal review of research proposals. Cornell University. Accessed July 18, 2024. https://irp.dpb.cornell.edu/surveys/survey-assessment-review-group/research-proposals  
• 7 Mistakes you must avoid in your research proposal. Aveksana (via LinkedIn). Accessed July 17, 2024. https://www.linkedin.com/pulse/7-mistakes-you-must-avoid-your-research-proposal-aveksana-cmtwf/  

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Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.  

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Research Design 101

Everything You Need To Get Started (With Examples)

By: Derek Jansen (MBA) | Reviewers: Eunice Rautenbach (DTech) & Kerryn Warren (PhD) | April 2023

Navigating the world of research can be daunting, especially if you’re a first-time researcher. One concept you’re bound to run into fairly early in your research journey is that of “ research design ”. Here, we’ll guide you through the basics using practical examples , so that you can approach your research with confidence.

Overview: Research Design 101

What is research design.

• Research design types for quantitative studies
• Video explainer : quantitative research design
• Research design types for qualitative studies
• Video explainer : qualitative research design
• How to choose a research design
• Key takeaways

Research design refers to the overall plan, structure or strategy that guides a research project , from its conception to the final data analysis. A good research design serves as the blueprint for how you, as the researcher, will collect and analyse data while ensuring consistency, reliability and validity throughout your study.

Understanding different types of research designs is essential as helps ensure that your approach is suitable  given your research aims, objectives and questions , as well as the resources you have available to you. Without a clear big-picture view of how you’ll design your research, you run the risk of potentially making misaligned choices in terms of your methodology – especially your sampling , data collection and data analysis decisions.

The problem with defining research design…

One of the reasons students struggle with a clear definition of research design is because the term is used very loosely across the internet, and even within academia.

Some sources claim that the three research design types are qualitative, quantitative and mixed methods , which isn’t quite accurate (these just refer to the type of data that you’ll collect and analyse). Other sources state that research design refers to the sum of all your design choices, suggesting it’s more like a research methodology . Others run off on other less common tangents. No wonder there’s confusion!

In this article, we’ll clear up the confusion. We’ll explain the most common research design types for both qualitative and quantitative research projects, whether that is for a full dissertation or thesis, or a smaller research paper or article.

Research Design: Quantitative Studies

Quantitative research involves collecting and analysing data in a numerical form. Broadly speaking, there are four types of quantitative research designs: descriptive , correlational , experimental , and quasi-experimental . 

Descriptive Research Design

As the name suggests, descriptive research design focuses on describing existing conditions, behaviours, or characteristics by systematically gathering information without manipulating any variables. In other words, there is no intervention on the researcher’s part – only data collection.

For example, if you’re studying smartphone addiction among adolescents in your community, you could deploy a survey to a sample of teens asking them to rate their agreement with certain statements that relate to smartphone addiction. The collected data would then provide insight regarding how widespread the issue may be – in other words, it would describe the situation.

The key defining attribute of this type of research design is that it purely describes the situation . In other words, descriptive research design does not explore potential relationships between different variables or the causes that may underlie those relationships. Therefore, descriptive research is useful for generating insight into a research problem by describing its characteristics . By doing so, it can provide valuable insights and is often used as a precursor to other research design types.

Correlational Research Design

Correlational design is a popular choice for researchers aiming to identify and measure the relationship between two or more variables without manipulating them . In other words, this type of research design is useful when you want to know whether a change in one thing tends to be accompanied by a change in another thing.

For example, if you wanted to explore the relationship between exercise frequency and overall health, you could use a correlational design to help you achieve this. In this case, you might gather data on participants’ exercise habits, as well as records of their health indicators like blood pressure, heart rate, or body mass index. Thereafter, you’d use a statistical test to assess whether there’s a relationship between the two variables (exercise frequency and health).

As you can see, correlational research design is useful when you want to explore potential relationships between variables that cannot be manipulated or controlled for ethical, practical, or logistical reasons. It is particularly helpful in terms of developing predictions , and given that it doesn’t involve the manipulation of variables, it can be implemented at a large scale more easily than experimental designs (which will look at next).

That said, it’s important to keep in mind that correlational research design has limitations – most notably that it cannot be used to establish causality . In other words, correlation does not equal causation . To establish causality, you’ll need to move into the realm of experimental design, coming up next…

Need a helping hand?

Experimental Research Design

Experimental research design is used to determine if there is a causal relationship between two or more variables . With this type of research design, you, as the researcher, manipulate one variable (the independent variable) while controlling others (dependent variables). Doing so allows you to observe the effect of the former on the latter and draw conclusions about potential causality.

For example, if you wanted to measure if/how different types of fertiliser affect plant growth, you could set up several groups of plants, with each group receiving a different type of fertiliser, as well as one with no fertiliser at all. You could then measure how much each plant group grew (on average) over time and compare the results from the different groups to see which fertiliser was most effective.

Overall, experimental research design provides researchers with a powerful way to identify and measure causal relationships (and the direction of causality) between variables. However, developing a rigorous experimental design can be challenging as it’s not always easy to control all the variables in a study. This often results in smaller sample sizes , which can reduce the statistical power and generalisability of the results.

Moreover, experimental research design requires random assignment . This means that the researcher needs to assign participants to different groups or conditions in a way that each participant has an equal chance of being assigned to any group (note that this is not the same as random sampling ). Doing so helps reduce the potential for bias and confounding variables . This need for random assignment can lead to ethics-related issues . For example, withholding a potentially beneficial medical treatment from a control group may be considered unethical in certain situations.

Quasi-Experimental Research Design

Quasi-experimental research design is used when the research aims involve identifying causal relations , but one cannot (or doesn’t want to) randomly assign participants to different groups (for practical or ethical reasons). Instead, with a quasi-experimental research design, the researcher relies on existing groups or pre-existing conditions to form groups for comparison.

For example, if you were studying the effects of a new teaching method on student achievement in a particular school district, you may be unable to randomly assign students to either group and instead have to choose classes or schools that already use different teaching methods. This way, you still achieve separate groups, without having to assign participants to specific groups yourself.

Naturally, quasi-experimental research designs have limitations when compared to experimental designs. Given that participant assignment is not random, it’s more difficult to confidently establish causality between variables, and, as a researcher, you have less control over other variables that may impact findings.

All that said, quasi-experimental designs can still be valuable in research contexts where random assignment is not possible and can often be undertaken on a much larger scale than experimental research, thus increasing the statistical power of the results. What’s important is that you, as the researcher, understand the limitations of the design and conduct your quasi-experiment as rigorously as possible, paying careful attention to any potential confounding variables .

Research Design: Qualitative Studies

There are many different research design types when it comes to qualitative studies, but here we’ll narrow our focus to explore the “Big 4”. Specifically, we’ll look at phenomenological design, grounded theory design, ethnographic design, and case study design.

Phenomenological Research Design

Phenomenological design involves exploring the meaning of lived experiences and how they are perceived by individuals. This type of research design seeks to understand people’s perspectives , emotions, and behaviours in specific situations. Here, the aim for researchers is to uncover the essence of human experience without making any assumptions or imposing preconceived ideas on their subjects.

For example, you could adopt a phenomenological design to study why cancer survivors have such varied perceptions of their lives after overcoming their disease. This could be achieved by interviewing survivors and then analysing the data using a qualitative analysis method such as thematic analysis to identify commonalities and differences.

Phenomenological research design typically involves in-depth interviews or open-ended questionnaires to collect rich, detailed data about participants’ subjective experiences. This richness is one of the key strengths of phenomenological research design but, naturally, it also has limitations. These include potential biases in data collection and interpretation and the lack of generalisability of findings to broader populations.

Grounded Theory Research Design

Grounded theory (also referred to as “GT”) aims to develop theories by continuously and iteratively analysing and comparing data collected from a relatively large number of participants in a study. It takes an inductive (bottom-up) approach, with a focus on letting the data “speak for itself”, without being influenced by preexisting theories or the researcher’s preconceptions.

As an example, let’s assume your research aims involved understanding how people cope with chronic pain from a specific medical condition, with a view to developing a theory around this. In this case, grounded theory design would allow you to explore this concept thoroughly without preconceptions about what coping mechanisms might exist. You may find that some patients prefer cognitive-behavioural therapy (CBT) while others prefer to rely on herbal remedies. Based on multiple, iterative rounds of analysis, you could then develop a theory in this regard, derived directly from the data (as opposed to other preexisting theories and models).

Grounded theory typically involves collecting data through interviews or observations and then analysing it to identify patterns and themes that emerge from the data. These emerging ideas are then validated by collecting more data until a saturation point is reached (i.e., no new information can be squeezed from the data). From that base, a theory can then be developed .

As you can see, grounded theory is ideally suited to studies where the research aims involve theory generation , especially in under-researched areas. Keep in mind though that this type of research design can be quite time-intensive , given the need for multiple rounds of data collection and analysis.

Ethnographic Research Design

Ethnographic design involves observing and studying a culture-sharing group of people in their natural setting to gain insight into their behaviours, beliefs, and values. The focus here is on observing participants in their natural environment (as opposed to a controlled environment). This typically involves the researcher spending an extended period of time with the participants in their environment, carefully observing and taking field notes .

All of this is not to say that ethnographic research design relies purely on observation. On the contrary, this design typically also involves in-depth interviews to explore participants’ views, beliefs, etc. However, unobtrusive observation is a core component of the ethnographic approach.

As an example, an ethnographer may study how different communities celebrate traditional festivals or how individuals from different generations interact with technology differently. This may involve a lengthy period of observation, combined with in-depth interviews to further explore specific areas of interest that emerge as a result of the observations that the researcher has made.

As you can probably imagine, ethnographic research design has the ability to provide rich, contextually embedded insights into the socio-cultural dynamics of human behaviour within a natural, uncontrived setting. Naturally, however, it does come with its own set of challenges, including researcher bias (since the researcher can become quite immersed in the group), participant confidentiality and, predictably, ethical complexities . All of these need to be carefully managed if you choose to adopt this type of research design.

Case Study Design

With case study research design, you, as the researcher, investigate a single individual (or a single group of individuals) to gain an in-depth understanding of their experiences, behaviours or outcomes. Unlike other research designs that are aimed at larger sample sizes, case studies offer a deep dive into the specific circumstances surrounding a person, group of people, event or phenomenon, generally within a bounded setting or context .

As an example, a case study design could be used to explore the factors influencing the success of a specific small business. This would involve diving deeply into the organisation to explore and understand what makes it tick – from marketing to HR to finance. In terms of data collection, this could include interviews with staff and management, review of policy documents and financial statements, surveying customers, etc.

While the above example is focused squarely on one organisation, it’s worth noting that case study research designs can have different variation s, including single-case, multiple-case and longitudinal designs. As you can see in the example, a single-case design involves intensely examining a single entity to understand its unique characteristics and complexities. Conversely, in a multiple-case design , multiple cases are compared and contrasted to identify patterns and commonalities. Lastly, in a longitudinal case design , a single case or multiple cases are studied over an extended period of time to understand how factors develop over time.

As you can see, a case study research design is particularly useful where a deep and contextualised understanding of a specific phenomenon or issue is desired. However, this strength is also its weakness. In other words, you can’t generalise the findings from a case study to the broader population. So, keep this in mind if you’re considering going the case study route.

How To Choose A Research Design

Having worked through all of these potential research designs, you’d be forgiven for feeling a little overwhelmed and wondering, “ But how do I decide which research design to use? ”. While we could write an entire post covering that alone, here are a few factors to consider that will help you choose a suitable research design for your study.

Data type: The first determining factor is naturally the type of data you plan to be collecting – i.e., qualitative or quantitative. This may sound obvious, but we have to be clear about this – don’t try to use a quantitative research design on qualitative data (or vice versa)!

Research aim(s) and question(s): As with all methodological decisions, your research aim and research questions will heavily influence your research design. For example, if your research aims involve developing a theory from qualitative data, grounded theory would be a strong option. Similarly, if your research aims involve identifying and measuring relationships between variables, one of the experimental designs would likely be a better option.

Time: It’s essential that you consider any time constraints you have, as this will impact the type of research design you can choose. For example, if you’ve only got a month to complete your project, a lengthy design such as ethnography wouldn’t be a good fit.

Resources: Take into account the resources realistically available to you, as these need to factor into your research design choice. For example, if you require highly specialised lab equipment to execute an experimental design, you need to be sure that you’ll have access to that before you make a decision.

Keep in mind that when it comes to research, it’s important to manage your risks and play as conservatively as possible. If your entire project relies on you achieving a huge sample, having access to niche equipment or holding interviews with very difficult-to-reach participants, you’re creating risks that could kill your project. So, be sure to think through your choices carefully and make sure that you have backup plans for any existential risks. Remember that a relatively simple methodology executed well generally will typically earn better marks than a highly-complex methodology executed poorly.

Recap: Key Takeaways

We’ve covered a lot of ground here. Let’s recap by looking at the key takeaways:

• Research design refers to the overall plan, structure or strategy that guides a research project, from its conception to the final analysis of data.
• Research designs for quantitative studies include descriptive , correlational , experimental and quasi-experimenta l designs.
• Research designs for qualitative studies include phenomenological , grounded theory , ethnographic and case study designs.
• When choosing a research design, you need to consider a variety of factors, including the type of data you’ll be working with, your research aims and questions, your time and the resources available to you.

If you need a helping hand with your research design (or any other aspect of your research), check out our private coaching services .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

11 Comments

Is there any blog article explaining more on Case study research design? Is there a Case study write-up template? Thank you.

Thanks this was quite valuable to clarify such an important concept.

Thanks for this simplified explanations. it is quite very helpful.

This was really helpful. thanks

Thank you for your explanation. I think case study research design and the use of secondary data in researches needs to be talked about more in your videos and articles because there a lot of case studies research design tailored projects out there.

Please is there any template for a case study research design whose data type is a secondary data on your repository?

This post is very clear, comprehensive and has been very helpful to me. It has cleared the confusion I had in regard to research design and methodology.

This post is helpful, easy to understand, and deconstructs what a research design is. Thanks

This post is really helpful.

how to cite this page

Thank you very much for the post. It is wonderful and has cleared many worries in my mind regarding research designs. I really appreciate .

how can I put this blog as my reference(APA style) in bibliography part?

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5 compelling examples of research projects

Last updated

3 April 2024

Reviewed by

Creative and innovative minds dream up big ideas that build the trends of tomorrow, but the research behind the scenes is often the secret sauce to company success. Businesses need a way to learn how their products or services will resonate with the market and where to invest their marketing efforts. 

Market analysis template

Save time, highlight crucial insights, and drive strategic decision-making

• Research project examples

Data collected from research products can help you verify theories, understand customer behavior , and quantify KPIs for a clear picture of how to improve business practices. 

Many types of research projects can help businesses find ways to fuel growth and adapt to market changes. These five examples of market research projects highlight the various ways businesses can use research and measurable data to grow successfully and avoid poor investments.  

Example 1: Competitive analysis

It's important for businesses of all sizes to understand the competitive landscape and where they stand in comparison to direct competitors. By identifying your competitors and evaluating their strengths and weaknesses, you can find ways to position your company for greater success. 

Competitive analysis can be used to better understand the market, improve marketing methods, and identify underserved customers.

The goals of competitive analysis may include:

Identifying your company's position in the market

Uncovering industry trends

Finding new marketing techniques

Identifying a new target customer base

Planning for new product innovation

Competitive research is conducted by identifying competitors and analyzing their performance. After identifying your direct competitors and gathering data about their products and services, you can dig deeper to learn more about how they serve customers. This may include gathering information about sales and marketing strategies, customer engagement , and social media strategies.

When analyzing direct competitors, organizing information about your competitors' attributes, strategies, strengths, and weaknesses will help you reveal themes that give you greater insight into the market.

Competitor analysis templates

Example 2: market segmentation.

Every business relies on customers for success. Researching your target audience and your potential position in the market is essential to developing strong marketing plans. 

Market segmentation can be used to plan marketing campaigns, identify ideal product prices, and personalize your brand.

The goals of market segmentation research may include: 

Identifying the target audience

Planning for new products or services

Expanding to a new location

Improving marketing efforts

Personalizing communications with customers

Improving customer satisfaction

There are many ways to collect and organize data for market segmentation research. Depending on your products and services, you might choose to divide your target population into groups based on demographics, location, behavior patterns, lifestyle aspects, etc. Organizing such data allows you to create buyer personas and test marketing strategies.

Example 3: New product development research

Companies must invest significant time and money into the development of a new product . Product development research is an important part of promoting a successful launch of a new product. 

The goals of product development research may include:

Forecasting the usage of products

Identifying accurate pricing

How products compare to competitors

Potential barriers to success

How customers will respond to new or updated products

Product development research includes studies conducted during the planning phase all the way through prototype testing and market planning. Research may include online surveys to determine which demographics would be most interested in the product or how a new product might be used. Advanced studies can include product testing to gather feedback about issues customers are having or features that could be improved.

Example 4: Customer satisfaction

According to the CallMiner Churn Index 2020 , U.S. companies lose $168 billion per year due to avoidable consumer switching. Customer satisfaction leads to loyalty and repeat purchases. Furthermore, happy customers leave good reviews and act as natural brand ambassadors. 

Findings from customer satisfaction surveys can help companies get a better understanding of the customer journey and develop new processes.

The goals of customer satisfaction research may include: 

Understanding overall customer satisfaction

Finding bottlenecks or points along the customer journey that decrease the level of customer satisfaction

Measuring the level of likelihood to recommend to others ( Net Promoter Score )

Measuring customer satisfaction may include surveys to determine satisfaction with the company, opinions about the sales process, or about a specific process like the user-friendliness of an app or company website. This can be achieved by organizing data derived from customer interviews , customer satisfaction surveys , reviews, and customer loyalty programs. 

Example 5: Brand research

No product or business is without competition. Establishing your brand in the market can help you stand out from the crowd. Brand research can help you understand whether your marketing campaigns are reaching their goals and how customers perceive your brand. 

Some goals of brand research may include:

Positioning your brand more competitively in the marketplace

Measuring the effectiveness of brand marketing

Determining the public perception of your brand

Developing new marketing campaigns

Tracking brand success on a regular basis

There are a variety of ways to conduct research about how consumers perceive your brand. In-person focus groups can help you get an in-depth view of how your brand is perceived and why. Surveys can help you gather data surrounding brand preference, brand loyalty, and what people associate with your brand. Ongoing research in these areas can help you build your brand value over time and find ways to share your company mission and personality with consumers.

• How to find ideas for your next research project

Successfully running a business requires you to be well-informed on product development, branding, customer service, industry trends, marketing, sales, organizational processes, employee satisfaction , and more. 

Various research products can help you stay informed and up-to-date in all these areas. However, determining where to focus your efforts and invest your capital can be challenging. These actions can help you find ideas for your next research project.

Identify problems or issues

Remember, research is conducted to satisfy a question or reach a goal. Identify problems that impact customer retention , sales, or company performance. Use these problems to determine which types of research topics are most likely to help your company achieve greater success. If performance is low, consider a research project to determine employee satisfaction levels and identify how to improve them. If sales are low, consider research into sales processes or customer satisfaction. 

Confirm the potential for a new idea

New products or services help companies grow and attract more customers. However, they require a big upfront investment from your organization. You can prove that your next big idea will be a hit by developing research projects around the need for a new product and your target customers. Solid data is often needed to convince company leaders and stakeholders to invest in a new product or service.

Check out the competition

Where do you stand in comparison to your competitors? If you're unsatisfied with your position in the market, learning more about what your competitors are doing right can help you determine how to improve. 

• Characteristics of a good market research idea

Shallow or vague research topics can lead to lackluster results that don't really add value to your studies. To conduct a successful research project, it's important to develop a plan that will yield productive data. When choosing a topic for your next research project, look for these characteristics. 

The topic is relevant to your current position

The idea is manageable (research can be conducted with your resources and budget)

The project has a specific and focused goal

You can clearly define and outline the scope of the project

The subject matter isn't too broad or narrow to yield useful results

While research can be science-based or for academic purposes, market research is conducted for a variety of reasons to help businesses grow or reach new levels of success. Understanding market research goals is the key to developing highly effective research projects that yield useful data. By examining examples of different research projects and your organizational goals, you can more easily decide where to focus your efforts.

Which topic is best for a research project?

There isn't a single topic that provides the best research project for every researcher. The best research topics serve a purpose like gaining a deeper understanding of a specific phenomenon, solving problems, improving processes, generating ideas, etc. Finding the best topic for research requires an investigation into what type of research project is likely to yield the most effective results.

How do you structure a research project?

The structure of your research project should clarify what you will investigate, why it is important, and how you will conduct your research. To get funding or approval for a research project, researchers are often required to submit a research proposal which acts as a blueprint and guide for a research plan. Any formal or informal research plan should include these features.

The identity and position of the researcher

An introduction of the topic and why it's relevant

The objective of the project and why you think the research is worth doing

An overview of existing knowledge on the topic

A detailed list of practical steps for how you will reach your objective, including gathering data and how you'll gain insights from the data you obtain

A clear timeline of the project and the planned project budget

What's the difference between a project and a research project?

A project is a planned set of activities with a specific outcome, while a research project is the investigation of data, sources, and facts to reach new conclusions. In a business context, a project may be the development of a marketing campaign, planning a new product or service, or establishing new policies. Research projects use relevant data to fuel business projects and activities.

What are some examples of practical research topics?

Practical research projects can range across a variety of subjects and purposes. Research is often conducted to further medical knowledge, change and adapt laws, address economic changes, advance academic studies, or improve business success. Here are a few examples.

How eating a diet high in fruits and vegetables affects advanced Crohn's disease

How to improve customer satisfaction by 20% in six weeks

The impact of increasing voter turnout by 25% on the presidential election

The percentage increase of new customers with the addition of online enrollment for banking services

The most effective way to improve employee retention in a company with 1,000 employees

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Research Project Plan

In business, you should never make decisions on the fly. This is true especially for important business decisions that deals with the financial status of the business. Making decisions without proper thought or extensive research is not only costly for the company but also affects the long-term sustainability of the organization. You may also see baseline project plan examples .

Research is important for business organizations, either for profit companies and also for nonprofit organizations. To help you create a research project plan, here are some research project plan examples you can use and download for free.

Research Project Plan Template

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Tips in Creating a Research Project Plan

Here are some important tips in creating a research project plan. Take note that a research plan comprises one step in your company achieving profitability and sustainability. When you want to venture into a new business, specifically starting a new project, you first need to do research, and a research project plan helps you identify problems and create solutions for your new project.

1. Choose the right project

First and foremost, you need to choose a project that can help your business attain higher revenues. Never use company resources to fund a research plan for your own personal hobby. This does not benefit the company in any way and will only cause unnecessary losses for your company.

If you are a business owner, discuss possible projects with your management team. Together, you can brainstorm and finalize on the project you are going to pursue. Think of projects that are going to bring in income for your business. This may be an expansion project or a project that ventures into another industry (for example, your business provides laundry services but you want to invest in a fast-food chain).

Remember, choosing a project will not immediately mean that your going to fund it right away. That is why you need to create a research project plan first before you start purchasing materials or begin working on your actual project.

2. Utilize research materials

After a choosing the project to work on, it’s now time to work on the details of the actual research action plan . There are numerous research materials and research procedures you can choose from, but choosing the right ones will be crucial in the result of the research action plan.

The research materials will depend on the project you chose. Look for research materials that will help you identify problems as well as create solutions for the problems being identified.

Choose established theories and research strategies that can help you in your study. You can find these theories and strategies from hundreds of books, publications, journals, and online resources that are available at your disposal (or at your nearest public library).

3. Establish a timetable

Establishing a timeline will help you create a blueprint for your research action plan. The timetable helps you focus which tasks to prioritize and which tasks to work on later. Additionally, a timetable helps you set a concrete deadline for the research action plan. A timetable gives you additional focus and extra motivation. You may also see comprehensive project plan examples .

Remember that working on a project requires time, and you should not be in a rush to create your research action plan. Depending on the size of the project, the research action plan should amount to at least six months to one year including the data gathering phase, creating the first draft, presenting the plan to the management team, and making the final revisions of the research action plan.

Having a timeline also helps you eliminate last-minute stress in creating the action plan . When you establish a timetable beforehand, you will have more time to research and create a plan that will eventually result to a more well-researched and well-written research action plan.

4. Create a preliminary outline

Together with the timeline, a preliminary outline also gives you a guide on how to create an effective research action plan. Create an outline on what you are going to list down and discuss in the research action plan . To help you create a preliminary outline, list down the main topics that you intend to cover and organize them in a loose order.

To help you keep track of your progress, you can always write your outline in a journal. This way, you can easily revise and add ideas in which you can think can benefit the research action plan. Also in the journal, you can list down questions you think can further develop your research, as well as adding information from the sources you previously gathered. You may also like community project plan examples .

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Types of Data Gathering Procedures

Here are the types of data gathering procedures you can use for your research project plan . You may use one or a combination from the research gathering procedures listed below. Your research will be dependent on the data or information you gather. A research should never rely on mere assumptions, but data that is both gathered and analyzed.

1. Interview

Conducting an interview is one of the most common yet most effective forms of data gathering. Interviews can either be done in personal or by telephone (smartphone).

There is one rule of thumb when doing interviews: be prepared. You can never obtain quality information if you go into an interview without preparing the questions beforehand or making an outline on how to conduct the actual interview. You will only be embarrassing yourself to the respondent (or the recipient of the interview). You may also like migration project plan examples .

Take note that when making the questions for the interview, the questions should be focused, clear, and should encourage open-ended responses. Depending on the nature of your interview, you should get the most out of your respondents. Even if the questions are answerable by a phrase or a sentence, it should still encourage multiple answers from your respondents. You may also check out agile project plan examples .

2. Questionnaire

Handing out general questionnaires is also another popular and effective data gathering procedure. Compared to interviews, questionnaires are less formal since they are just given to the respondents and the researcher would just wait for the respondent to finish answering the questionnaires. Also, there is no pressure when the respondent answers the questionnaire compared to being interviewed face-to-face.

Sometimes in an interview, the interviewer asks a certain question and follows it up with another question, making the respondent uneasy in answering the question instead. The respondent may not be able to answer the question in the manner that he intended to be since he was pressured by the interviewer to answer a specific type of answer which will be preferred to his study. You might be interested in quality project plan examples .

Compared to open-ended answers from respondents in an interview, questionnaire or general survey results are easier to compile and analyze. Additionally, questionnaire responses can be analyzed with quantitative methods by assigning numerical values to Likert-type scales.

3. Observations

Observation meanwhile pertains to the researcher obtaining data by doing observations to a group of respondents. Observations allow researchers to study dynamics of a situation, frequency counts of target behaviors, or other behaviors as indicated by needs of the evaluation. You may also see marketing project plan examples .

Observations are specifically effective in obtaining information about a particular group and can also produce qualitative (e.g., narrative data) and quantitative data (e.g., frequency counts, mean length of interactions, and instructional time). You may also like what is a project management plan?

Observations, together with focus groups (as discussed below) are less used compared to interviews and questionnaires/surveys.

4. Focus Groups

Focus groups are similar to observations, but focused groups are conducted by groups instead of individuals. The aim of a focus group-type of data gathering procedure is to obtain information about combined perspectives and opinions. The responses meanwhile are often coded into categories and analyzed thematically. You may also check out nonprofit project plan examples .

5. Documents and Records

General Documents and records meanwhile pertain to the researcher basically gathering and examining data gathered from numerous sources (e.g., books, publications, novels, online sources). This type of data gathering procedure does not focus on the respondents but on the other information and analysis formulated in the research action plan.

Books and online references are not the only sources the researcher can obtain data, as he can also gather data from databases, meeting minutes, reports, attendance logs, financial records, and newsletters.

PhD Research Plan Example

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PhD Medical Research Plan Example

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Sample Research Project Plan Outline

To further help you in creating a research project plan, here is a sample research project plan outline. Take note that the research project plan below is only an outline and does not include comprehensive analysis, which is a requirement for a standard research project plan. You may also see construction project plan examples .

High Energy Sports Store, Inc. – Research Action Plan

1. introduction.

This research action plan aims to identify the possibility of High Energy Sports Store, Inc. opening one new store by the end of 2018 and two new stores by mid 2019. High Energy has been in operations for over three years, with three stores currently in operations. The store is the official authorized reseller of popular athletic shoe brand Nike, Adidas, and Under Armour and also sells various sportswear from the said brands. You may also like quality management plan examples .

2. Statement of the Problem

This research action plan aims to answer the following questions:

• Can High Energy break even from its investment in opening three new stores in a span of one year?
• On what year can High Energy break even and start earning revenues?
• What will be the total cost of High Energy’s investment in the three new stores (including cost of construction of a physical store, purchase of wholesale shoes and sports wear, initial working capital of ten total staff for all three stores?)
• Will the new stores apply a new interior theme or retain the same interior design as the current stores?

3. Methodology

The research will utilize the distribution of survey questionnaires as the main data gathering procedure. The research will involve 100 respondents and the demographic of the respondents are specifically regular customers of the current stores which are currently in operations.

The said survey questionnaires will be given to the customers once they arrive in the stores. If they are not available to fill out the questionnaires, the questionnaires will be sent to their respective email addresses or social media accounts. Before the questionnaires are given out, High Energy will have a master list of the respondents.  

4. Recommendations

*The recommendations will base from the data gathered and analyzed from the respondents, and will also answer the questions as listed in the “ Statement of the Problem .”

5. Conclusion

*The conclusion will stem from the recommendations and will also support the findings from the data that was gathered and analyzed.

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We hope you found this article to be informative as well as helpful when you will be creating your own research action plan. A research action plan is necessary for the company to avoid jumping right into conclusions when deciding to invest in a new project or venture.

Take note that a research plan comprises one step in your company achieving profitability and sustainability. When you want to venture into a new business, specifically starting a new project, you first need to do research, and a research project plan helps you identify problems and create solutions for your new project.

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• What is a sample in research: Definition, examples & tips

Researchers can conduct studies on large populations. It is highly unusual for researchers to be able to get information from every member of a group of individuals they are studying. If you are researching a large population, you can pick a sample . 

The population that will participate in the study is the sample. Using samples, researchers may perform their experiments more quickly and with more manageable data. This article will explain the definition of a sample in research, what a sample is in statistics with examples, how researchers choose a sample, and how to determine the correct sample size for your research with all details.

• What is a sample?

A sample is a condensed, controllable representation of a larger group . It is a subgroup of people with traits from a wider population . When the population size is too large for the test to include all potential participants or observations, samples are utilized in statistical testing. 

The definition of a sample

To put it simply:  a sample is a more manageable and compact version of a bigger group. A sampler population possesses the traits of a bigger group. A sample is utilized in statistical analysis when the population size is too big to include all individuals or observations in the test.

A sample is an analytical subset of a larger population in statistics . The sample should be representative of the population as a whole and should not show bias toward any particular characteristic. The researcher gains knowledge from the sample that can be applied to the entire population.  

• How do researchers choose a sample?

Sampling is an essential component of the research design as it gathers information that can be used in a research study. Probability sampling and non probability sampling are the essential methodologies that define sampling techniques. 

Sampling methodologies

Probability sampling

Probability sampling is a sampling technique that entails randomly picking a sample or a section of the population. It is also known as random sampling . When procedures are established to guarantee that each unit within a population has an equal probability of being picked , this is known as random selection.  Here are 4 types of probability sampling designs that are frequently used. 

1 - Simple random sampling

Simple random sampling takes a random selection from the whole population with an equal probability of selection for each unit. The most typical method of choosing a random sample is the one. 

Consider creating a list of every person in the population and giving them a number. Using a random number table, random number table, or random number generator, you choose samples at random from this population. 

2 - Stratified sampling

Stratified sampling randomly chooses a sample from one or more strata or population subgroups . Each group is distinguished from the others based on a shared trait, such as age, gender, color, and religion. 

By doing this, you can ensure that your sample population sufficiently represents each subgroup of a particular community. For example, if you divide a student population by university majors, Architecture, Linguistics, and Teaching departments, students are three different tiers within that population. 

3 - Cluster sampling

The cluster sampling method divides the population into clusters , which are smaller groupings. Then, you choose a sample of people at random from these clusters. Large or geographically distributed populations are frequently studied using cluster sampling. 

For example, you may divide all cities into neighborhoods or clusters and then choose the areas with the most significant population while filtering by mobile device users to see how well your goods perform across a city.

4 - Systematic sampling

When using systematic sampling , units are chosen at regular intervals beginning at a random point , drawing a random sample from the target population. Every member of the population is assigned a number in systematic sampling ,  but rather than being a random selection procedure, people are picked out at predetermined intervals. 

For example, while 1000 vaccine volunteers are selected from a list of 5000 applicants, each applicant is given a number from 1 to 5000. A sample of 1000 volunteers can then be obtained by starting at 1 and selecting each participant on 10 to an item scale.

Nonprobability sampling

When the number of units in the population is either unknown or difficult to identify individuals , nonprobability sampling approaches are utilized in quantitative and qualitative research. Additionally, it is employed when you wish to limit the results’ applicability to a particular group or organization rather than the broader populace. 

Besides the advantages of non-probability sampling, the most significant disadvantage is the possibility of sampling bias. As the sample selection process unfairly favors some population members over others. Here are some types of nonprobability sampling:

1. Convenience sampling

Convenience sampling comprises those who are easiest to research by the researcher. Researchers selected these samples only because they are simple to compile , and they did not think to choose a sample representative of the total population. 

For example, researchers conducted a shopping mall response survey to understand a product manufacturer's likelihood of customers using the products. In this sampling method, sample participants are selected based on their proximity to the survey table and their willingness to participate in the research.  

2. Snowball sampling

Snowball sampling is used to recruit participants through other participants if the population is difficult to reach. As you interact with additional individuals, your network of contacts "snowballs" in size.

For example, you are looking into local homeless people's experiences. Since there is no list of every homeless person in the city, probability sampling is not an option. One of the persons you meet agrees to participate in the research, and the homeless person refers you to other local homeless people he knows.

3. Purposive sampling

Purposive sampling is frequently employed in qualitative research when the researcher prefers to learn in-depth information about a particular phenomenon versus drawing general conclusions from statistics or when the population is relatively tiny and focused.

For instance, a researcher wants to learn more about how people with persistent headaches live. In such instances, they can choose a sample of people diagnosed with persistent headaches using purposive sampling. 

• How to determine the right sample size

The sample size is crucial for reliable, statistically meaningful results and a smooth research operation. You should learn the fundamentals of the statistics involved to select the appropriate sample size , considering a few distinct elements that may affect your study.

1. Population size

The population size is the total number of individuals that can be included in the study. To determine the appropriate population size, you should be clear about who belongs or doesn’t belong in your group. 

2. The margin of error (confidence interval)

Errors are inevitable in research studies. The margin of error is represented by a percentage, which is a statistical inference about the confidence that the number of respondents accurately represents the opinions of the whole population.  

3. Confidence level

The confidence level value measures your degree of certainty on how closely a sample reflects the total population within your chosen margin of error. The most prevalent are the 90%, 95%, and 99% confidence intervals.

4. Standard deviation

The standard deviation indicates how much variation you can expect in your responses. A safe value to use as a guide is 0.5 , which denotes that significant sample size is required.

Sample size formula

You may select the appropriate sample size by considering various factors affecting your study. You may compute the sample using an online calculator or read on to learn how to do it by hand.

1. Discover the Z-score

The Z-score displays how far a certain ratio deviates from the mean by standard deviation. You should translate your degree of confidence into a Z-score.

For the most typical confidence levels, the Z-scores are as follows:

• 90% Z-score = 1.645
• 95% Z-score = 1.96
• 99% Z-score = 2.576

2. Apply the formula for the sample size

Use the following formula to perform the calculation manually. 

• N = population size
•  e = Margin of error 
•  z = z-score
•  p = standard of deviation

For example, you select a 95% confidence level. Let the population size be 1000, and the margin of level be 5. Based on these data, your sample size would be 370.

• Frequently asked questions about sample

A sample is a particular group from which you will gather data. You should employ a sample when your population is sizable , spread geographically , or challenging . The population, sample, and sample frame are different from each other. Here are the frequently asked questions about the sample.

Population vs. sample

Sample and population are closely related concepts, so they can often be confused. We will explain the differences between them so that you can distinguish between the sample and population. 

Population refers to the entire group of individuals about which you want to draw conclusions. On the other hand, sample refers to the group of people you will collect data from.

A sample is more manageable, minor, and representative of a bigger group. The sample size is always less than the total population size. When a population is too vast for all the members or observations to be included in the test, a sample is employed in statistical analysis.

Sample vs. sample frame

A sample is a group of participants chosen from a broader population of interest; it is an essential component of the research. On the other hand, sample frames are crucial for  researchers to maintain organization and guarantee that the most recent data for a population is being used. Here are the differences between sample and sample frame: 

The sample is a smaller group of people or units chosen from a larger population for a survey or research project. In contrast, a sample frame is an exhaustive enumeration of all the elements or people that comprise the population from which the sample is taken. 

The sample is a subset of the population's elements chosen for research, whereas the sample frame is a comprehensive list or inventory of all population items.

• Key points to takeaway

In conclusion, a sample is a group or subset of persons or things chosen from a broader population to study or assess particular traits or behaviors. To guarantee that every member of the population has an equal chance of being chosen, the sample should be representative of the people from which it is collected or selected using a random sampling procedure. 

Selecting the appropriate sample technique based on the research topic , budget , and available resources . Additionally, the accuracy and generalizability of the results are greatly influenced by the sample size. 

This article has explained what a sample is in research methodology, what sample is in research examples, and how to determine the correct sample size. You can learn more about the research by reading this article.

Sena is a content writer at forms.app. She likes to read and write articles on different topics. Sena also likes to learn about different cultures and travel. She likes to study and learn different languages. Her specialty is linguistics, surveys, survey questions, and sampling methods.

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Say My Name Transcription Project: Resource Guide

• Assignment Examples
• Transcription Guidelines
• What's Getting Transcribed
• Say My Name Transcription Project: Pre-Assessment Survey Please have your students fill out this survey before they are presented with information about White Hall and how to transcribe historical documents.
• Say My Name Transcription Project: Post Assessment Survey After your students have completed their transcription project, please have them fill out this survey.
• Deciphering Cursive Handwriting from UNC-Wilmington Library Resources on cursive handwriting from the University of North Carolina Wilmington Library include: a video tutorial, common abbreviation, cursive handwriting quizzes, and more.

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Archives Instruction

The Research Center for Special Collections & Archives (RC-SCA) is happy to provide your class with introductory information on White Hall and the Say My Name Transcription Project. Please fill out the form linked below if you would like us to meet with your class.

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Example 1 (In-Class)

This assignment is courtesy of Heather Fox

Archival Investigation: Transcribing White Hall Documents

• Read and study the "Transcription Guidelines" .
• Peruse documents that require transcription. Choose TWO documents that require transcription and work together to complete the transcription. When choosing, find a document that has writing on a full page (versus a line or two on a page). If in doubt, please ask me first. Also, while transcribing, be sure to save your work often.
• Share your findings and experiences with the class.

Absences Only: If absent, complete a Transcribe Archival Investigation Report , which should be submitted in PDF form to Blackboard and must contain the following items for full credit:

• The title of the document
• The link to the document that enables me to access it
• Your group’s screen print photograph of your completed transcription of the document
• A 2-3 sentence summary of the document that you transcribed, which includes the amount of time that it took the group to transcribe the document
• One paragraph that describes your “meta” observations about this archival research experience, in terms of the scope and purpose of the project as part of our course’s theme and objectives

Notes from Heather

• I tend to provide less instruction up front and work alongside students as they work through questions/considerations.
• Have students work in pairs. Pair cursive readers with non-cursive readers.
• Since some documents are more difficult to read than others, suggest that students look for easier to read documents, instead of picking the nearest option when they open the site.
• Comparing letter formations and reading in context within the same document can help with deciphering text.
• If a group does not finish a full transcription, "Save" without pressing "Done". 
• Leave time for students to complete the post assessment during class.

Example 2 (Outside Class plus In-Class)

This assignment is courtesy of Ginny Whitehouse

Transcribing Historical Documents

Outside Class Assignment

• Using your EKU email account, sign up for “From the Page” so that you can be assigned transcriptions in the next class. 
• Watch the video from the UNC-Wilmington Library on “Reading Cursive Handwriting” then take two of the cursive handwriting quizzes at the bottom of the page. Retake until you get 100%. 
• Read the “Transcription Guidelines" .
• Use those guidelines to transcribe the "Sample Letter" provided from EKU Archives. 
• Take the End of Class Quiz by Noon Wednesday.

In-Class Assignment  (Thursday class)

• Transcribe the historical document assigned to you.

Notes from Ginny

• The "End of Class Quiz" was just a matter of them copying and pasting the "Sample Letter" transcription. I gave them full credit for making a solid effort.
• At the Thursday class, we talked about the prep work they did.
• My class said the Wilmington video, particularly, and the "Transcription Guidelines" were helpful.
• The Wilmington quizzes helped them gain confidence but they didn’t learn anything new. 
• Doing the "Sample Letter" exercise was really important for most of the students.
• We reviewed in class the "Sample Letter" and discussed some mistakes/inconsistencies that they had, such as not including the header information on the letter and not returning after each line. For those who struggle with detail work, this level of “step by step” instruction was good.

Example 3 (Outside Class)

• Peruse documents that require transcription. Choose ONE document that requires transcription review and work together to complete the transcription. When choosing, find a document that has writing on a full page (versus a line or two on a page). If in doubt, please ask me first. Also, while transcribing, be sure to save your work often.
• Once you have completed your transcription review, take a screen shot photo of your work.
• Your group’s Transcribe Archival Investigation Report should be submitted in PDF form to Blackboard and must contain the following items for full credit:
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Title Page Setup

A title page is required for all APA Style papers. There are both student and professional versions of the title page. Students should use the student version of the title page unless their instructor or institution has requested they use the professional version. APA provides a student title page guide (PDF, 199KB) to assist students in creating their title pages.

Student title page

The student title page includes the paper title, author names (the byline), author affiliation, course number and name for which the paper is being submitted, instructor name, assignment due date, and page number, as shown in this example.

Title page setup is covered in the seventh edition APA Style manuals in the Publication Manual Section 2.3 and the Concise Guide Section 1.6

Related handouts

• Student Title Page Guide (PDF, 263KB)
• Student Paper Setup Guide (PDF, 3MB)

Student papers do not include a running head unless requested by the instructor or institution.

Follow the guidelines described next to format each element of the student title page.

Professional title page

The professional title page includes the paper title, author names (the byline), author affiliation(s), author note, running head, and page number, as shown in the following example.

Follow the guidelines described next to format each element of the professional title page.

Frequently asked questions

What is a research project.

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.

Frequently asked questions: Writing a research paper

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

Research questions anchor your whole project, so it’s important to spend some time refining them.

In general, they should be:

• Focused and researchable
• Answerable using credible sources
• Complex and arguable
• Feasible and specific
• Relevant and original

All research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

Your research objectives indicate how you’ll try to address your research problem and should be specific:

Research objectives describe what you intend your research project to accomplish.

They summarize the approach and purpose of the project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement .

The main guidelines for formatting a paper in Chicago style are to:

• Use a standard font like 12 pt Times New Roman
• Use 1 inch margins or larger
• Apply double line spacing
• Indent every new paragraph ½ inch
• Include a title page
• Place page numbers in the top right or bottom center
• Cite your sources with author-date citations or Chicago footnotes
• Include a bibliography or reference list

To automatically generate accurate Chicago references, you can use Scribbr’s free Chicago reference generator .

The main guidelines for formatting a paper in MLA style are as follows:

• Use an easily readable font like 12 pt Times New Roman
• Set 1 inch page margins
• Include a four-line MLA heading on the first page
• Center the paper’s title
• Use title case capitalization for headings
• Cite your sources with MLA in-text citations
• List all sources cited on a Works Cited page at the end

To format a paper in APA Style , follow these guidelines:

• Use a standard font like 12 pt Times New Roman or 11 pt Arial
• If submitting for publication, insert a running head on every page
• Apply APA heading styles
• Cite your sources with APA in-text citations
• List all sources cited on a reference page at the end

No, it’s not appropriate to present new arguments or evidence in the conclusion . While you might be tempted to save a striking argument for last, research papers follow a more formal structure than this.

All your findings and arguments should be presented in the body of the text (more specifically in the results and discussion sections if you are following a scientific structure). The conclusion is meant to summarize and reflect on the evidence and arguments you have already presented, not introduce new ones.

The conclusion of a research paper has several key elements you should make sure to include:

• A restatement of the research problem
• A summary of your key arguments and/or findings
• A short discussion of the implications of your research

Don’t feel that you have to write the introduction first. The introduction is often one of the last parts of the research paper you’ll write, along with the conclusion.

This is because it can be easier to introduce your paper once you’ve already written the body ; you may not have the clearest idea of your arguments until you’ve written them, and things can change during the writing process .

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis —a prediction that will be confirmed or disproved by your research.

The introduction of a research paper includes several key elements:

• A hook to catch the reader’s interest
• Relevant background on the topic
• Details of your research problem

and your problem statement

• A thesis statement or research question
• Sometimes an overview of the paper

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OSU research on electrical mapping aids U.S. power grid protection

by Allison Gutleber

PORTLAND, Ore. (KATU) — OSU Researchers completed an electrical mapping project that helps protect the U.S. power grid.

Adam Schultz, a Professor of Geophysics at OSU and a lead researcher on the electrical mapping project, says the difference about this project is that the data has been made public immediately.

When the project began in 2006, researchers deployed instruments across the continental U.S. every 70 kilometers to survey the energy below the surface. Large equipment was moved to stations for several months to capture data.

The original goal of the project was to determine the structure and evolution of the North American continent. The original goal was achieved but over time there was a new opportunity that presented itself.

"It became obvious that the data we were collecting was actually very important to the electric power industry because what happens is, for example, recently we had a big aurora in May that you could see in Oregon and actually this past week as well," said Schultz.

Space weather impacts such as the geomagnetic storms we’ve seen recently can put the grid under stress and it was not intended to handle it.

Shultz explains in extreme cases this can cause parts of the power grid to go down. The last time they saw this was back in 1989 which did impact the providence of Quebec and northern states in the U.S.

"The data will help the power industry determine the intensity of the geomagnetic storms we have recently encountered with the Aurora Borealis. So this is a big issue and our data will help the power industry determine the intensity of the geomagnetic induced currents that they can expect," Schultz said.

Schultz adds Homeland Security found impacts on critical infrastructure.

"So we are helping contribute to mitigating risk to all of the infrastructure that everyone depends on in this country," he says.

9 Best Marketing Research Methods to Know Your Buyer Better [+ Examples]

Published: August 08, 2024

One of the most underrated skills you can have as a marketer is marketing research — which is great news for this unapologetic cyber sleuth.

From brand design and product development to buyer personas and competitive analysis, I’ve researched a number of initiatives in my decade-long marketing career.

And let me tell you: having the right marketing research methods in your toolbox is a must.

Market research is the secret to crafting a strategy that will truly help you accomplish your goals. The good news is there is no shortage of options.

How to Choose a Marketing Research Method

Thanks to the Internet, we have more marketing research (or market research) methods at our fingertips than ever, but they’re not all created equal. Let’s quickly go over how to choose the right one.

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• SWOT Analysis Template
• Survey Template
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1. Identify your objective.

What are you researching? Do you need to understand your audience better? How about your competition? Or maybe you want to know more about your customer’s feelings about a specific product.

Before starting your research, take some time to identify precisely what you’re looking for. This could be a goal you want to reach, a problem you need to solve, or a question you need to answer.

For example, an objective may be as foundational as understanding your ideal customer better to create new buyer personas for your marketing agency (pause for flashbacks to my former life).

Or if you’re an organic sode company, it could be trying to learn what flavors people are craving.

2. Determine what type of data and research you need.

Next, determine what data type will best answer the problems or questions you identified. There are primarily two types: qualitative and quantitative. (Sound familiar, right?)

• Qualitative Data is non-numerical information, like subjective characteristics, opinions, and feelings. It’s pretty open to interpretation and descriptive, but it’s also harder to measure. This type of data can be collected through interviews, observations, and open-ended questions.
• Quantitative Data , on the other hand, is numerical information, such as quantities, sizes, amounts, or percentages. It’s measurable and usually pretty hard to argue with, coming from a reputable source. It can be derived through surveys, experiments, or statistical analysis.

Understanding the differences between qualitative and quantitative data will help you pinpoint which research methods will yield the desired results.

For instance, thinking of our earlier examples, qualitative data would usually be best suited for buyer personas, while quantitative data is more useful for the soda flavors.

However, truth be told, the two really work together.

Qualitative conclusions are usually drawn from quantitative, numerical data. So, you’ll likely need both to get the complete picture of your subject.

For example, if your quantitative data says 70% of people are Team Black and only 30% are Team Green — Shout out to my fellow House of the Dragon fans — your qualitative data will say people support Black more than Green.

(As they should.)

Primary Research vs Secondary Research

You’ll also want to understand the difference between primary and secondary research.

Primary research involves collecting new, original data directly from the source (say, your target market). In other words, it’s information gathered first-hand that wasn’t found elsewhere.

Some examples include conducting experiments, surveys, interviews, observations, or focus groups.

Meanwhile, secondary research is the analysis and interpretation of existing data collected from others. Think of this like what we used to do for school projects: We would read a book, scour the internet, or pull insights from others to work from.

So, which is better?

Personally, I say any research is good research, but if you have the time and resources, primary research is hard to top. With it, you don’t have to worry about your source's credibility or how relevant it is to your specific objective.

You are in full control and best equipped to get the reliable information you need.

3. Put it all together.

Once you know your objective and what kind of data you want, you’re ready to select your marketing research method.

For instance, let’s say you’re a restaurant trying to see how attendees felt about the Speed Dating event you hosted last week.

You shouldn’t run a field experiment or download a third-party report on speed dating events; those would be useless to you. You need to conduct a survey that allows you to ask pointed questions about the event.

This would yield both qualitative and quantitative data you can use to improve and bring together more love birds next time around.

Best Market Research Methods for 2024

Now that you know what you’re looking for in a marketing research method, let’s dive into the best options.

Note: According to HubSpot’s 2024 State of Marketing report, understanding customers and their needs is one of the biggest challenges facing marketers today. The options we discuss are great consumer research methodologies , but they can also be used for other areas.

Primary Research

1. interviews.

Interviews are a form of primary research where you ask people specific questions about a topic or theme. They typically deliver qualitative information.

I’ve conducted many interviews for marketing purposes, but I’ve also done many for journalistic purposes, like this profile on comedian Zarna Garg . There’s no better way to gather candid, open-ended insights in my book, but that doesn’t mean they’re a cure-all.

What I like: Real-time conversations allow you to ask different questions if you’re not getting the information you need. They also push interviewees to respond quickly, which can result in more authentic answers.

What I dislike: They can be time-consuming and harder to measure (read: get quantitative data) unless you ask pointed yes or no questions.

Best for: Creating buyer personas or getting feedback on customer experience, a product, or content.

2. Focus Groups

Focus groups are similar to conducting interviews but on a larger scale.

In marketing and business, this typically means getting a small group together in a room (or Zoom), asking them questions about various topics you are researching. You record and/or observe their responses to then take action.

They are ideal for collecting long-form, open-ended feedback, and subjective opinions.

One well-known focus group you may remember was run by Domino’s Pizza in 2009 .

After poor ratings and dropping over $100 million in revenue, the brand conducted focus groups with real customers to learn where they could have done better.

It was met with comments like “worst excuse for pizza I’ve ever had” and “the crust tastes like cardboard.” But rather than running from the tough love, it took the hit and completely overhauled its recipes.

The team admitted their missteps and returned to the market with better food and a campaign detailing their “Pizza Turn Around.”

The result? The brand won a ton of praise for its willingness to take feedback, efforts to do right by its consumers, and clever campaign. But, most importantly, revenue for Domino’s rose by 14.3% over the previous year.

The brand continues to conduct focus groups and share real footage from them in its promotion:

What I like: Similar to interviewing, you can dig deeper and pivot as needed due to the real-time nature. They’re personal and detailed.

What I dislike: Once again, they can be time-consuming and make it difficult to get quantitative data. There is also a chance some participants may overshadow others.

Best for: Product research or development

Pro tip: Need help planning your focus group? Our free Market Research Kit includes a handy template to start organizing your thoughts in addition to a SWOT Analysis Template, Survey Template, Focus Group Template, Presentation Template, Five Forces Industry Analysis Template, and an instructional guide for all of them. Download yours here now.

3. Surveys or Polls

Surveys are a form of primary research where individuals are asked a collection of questions. It can take many different forms.

They could be in person, over the phone or video call, by email, via an online form, or even on social media. Questions can be also open-ended or closed to deliver qualitative or quantitative information.

A great example of a close-ended survey is HubSpot’s annual State of Marketing .

In the State of Marketing, HubSpot asks marketing professionals from around the world a series of multiple-choice questions to gather data on the state of the marketing industry and to identify trends.

The survey covers various topics related to marketing strategies, tactics, tools, and challenges that marketers face. It aims to provide benchmarks to help you make informed decisions about your marketing.

It also helps us understand where our customers’ heads are so we can better evolve our products to meet their needs.

Apple is no stranger to surveys, either.

In 2011, the tech giant launched Apple Customer Pulse , which it described as “an online community of Apple product users who provide input on a variety of subjects and issues concerning Apple.”

"For example, we did a large voluntary survey of email subscribers and top readers a few years back."

While these readers gave us a long list of topics, formats, or content types they wanted to see, they sometimes engaged more with content types they didn’t select or favor as much on the surveys when we ran follow-up ‘in the wild’ tests, like A/B testing.”  

Pepsi saw similar results when it ran its iconic field experiment, “The Pepsi Challenge” for the first time in 1975.

The beverage brand set up tables at malls, beaches, and other public locations and ran a blindfolded taste test. Shoppers were given two cups of soda, one containing Pepsi, the other Coca-Cola (Pepsi’s biggest competitor). They were then asked to taste both and report which they preferred.

People overwhelmingly preferred Pepsi, and the brand has repeated the experiment multiple times over the years to the same results.

What I like: It yields qualitative and quantitative data and can make for engaging marketing content, especially in the digital age.

What I dislike: It can be very time-consuming. And, if you’re not careful, there is a high risk for scientific error.

Best for: Product testing and competitive analysis

Pro tip:  " Don’t make critical business decisions off of just one data set," advises Pamela Bump. "Use the survey, competitive intelligence, external data, or even a focus group to give you one layer of ideas or a short-list for improvements or solutions to test. Then gather your own fresh data to test in an experiment or trial and better refine your data-backed strategy."

Secondary Research

8. public domain or third-party research.

While original data is always a plus, there are plenty of external resources you can access online and even at a library when you’re limited on time or resources.

Some reputable resources you can use include:

• Pew Research Center
• McKinley Global Institute
• Relevant Global or Government Organizations (i.e United Nations or NASA)

It’s also smart to turn to reputable organizations that are specific to your industry or field. For instance, if you’re a gardening or landscaping company, you may want to pull statistics from the Environmental Protection Agency (EPA).

If you’re a digital marketing agency, you could look to Google Research or HubSpot Research . (Hey, I know them!)

What I like: You can save time on gathering data and spend more time on analyzing. You can also rest assured the data is from a source you trust.

What I dislike: You may not find data specific to your needs.

Best for: Companies under a time or resource crunch, adding factual support to content

Pro tip: Fellow HubSpotter Iskiev suggests using third-party data to inspire your original research. “Sometimes, I use public third-party data for ideas and inspiration. Once I have written my survey and gotten all my ideas out, I read similar reports from other sources and usually end up with useful additions for my own research.”

9. Buy Research

If the data you need isn’t available publicly and you can’t do your own market research, you can also buy some. There are many reputable analytics companies that offer subscriptions to access their data. Statista is one of my favorites, but there’s also Euromonitor , Mintel , and BCC Research .

What I like: Same as public domain research

What I dislike: You may not find data specific to your needs. It also adds to your expenses.

Best for: Companies under a time or resource crunch or adding factual support to content

Which marketing research method should you use?

You’re not going to like my answer, but “it depends.” The best marketing research method for you will depend on your objective and data needs, but also your budget and timeline.

My advice? Aim for a mix of quantitative and qualitative data. If you can do your own original research, awesome. But if not, don’t beat yourself up. Lean into free or low-cost tools . You could do primary research for qualitative data, then tap public sources for quantitative data. Or perhaps the reverse is best for you.

Whatever your marketing research method mix, take the time to think it through and ensure you’re left with information that will truly help you achieve your goals.

Don't forget to share this post!

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Home » Research Methodology – Types, Examples and writing Guide

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

• Provide an overview of the research problem and the need for a research methodology section
• Outline the main research questions and objectives

II. Research Design

• Explain the research design chosen and why it is appropriate for the research question(s) and objectives
• Discuss any alternative research designs considered and why they were not chosen
• Describe the research setting and participants (if applicable)

III. Data Collection Methods

• Describe the methods used to collect data (e.g., surveys, interviews, observations)
• Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

• Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
• Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or software used for data analysis

V. Ethical Considerations

• Discuss any ethical issues that may arise from the research and how they were addressed
• Explain how informed consent was obtained (if applicable)
• Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

• Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

• Summarize the key aspects of the research methodology section
• Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

• Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
• Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
• Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
• Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
• Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
• Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
• Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
• Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

• To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
• To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
• To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
• To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
• To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
• To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
• To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
• To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
• To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

• To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
• To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
• To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
• To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
• To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

• Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
• Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
• Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
• Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
• Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
• Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
• Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
• Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

Research Methodology	Research Methods
Research methodology refers to the philosophical and theoretical frameworks that guide the research process.	refer to the techniques and procedures used to collect and analyze data.
It is concerned with the underlying principles and assumptions of research.	It is concerned with the practical aspects of research.
It provides a rationale for why certain research methods are used.	It determines the specific steps that will be taken to conduct research.
It is broader in scope and involves understanding the overall approach to research.	It is narrower in scope and focuses on specific techniques and tools used in research.
It is concerned with identifying research questions, defining the research problem, and formulating hypotheses.	It is concerned with collecting data, analyzing data, and interpreting results.
It is concerned with the validity and reliability of research.	It is concerned with the accuracy and precision of data.
It is concerned with the ethical considerations of research.	It is concerned with the practical considerations of research.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Aliens From the Fourth-Dimension May Be Invading Our World—And We Don’t Even Know It

Theoretically, it’s impossible for us to perceive a 4D creature. That is, unless it broke into our three-dimensional reality.

The book Flatland: A Romance of Many Dimensions by Edwin A. Abbott explores the concept of physical dimensions through characters who encounter higher-dimensional beings. The protagonist, “A. Square,” lives in a two-dimensional world called Flatland. When the three-dimensional “Sphere” visits him, Square realizes that a whole world exists that he never could have imagined. Eventually, his interactions with Sphere open his mind to the possibility of even higher dimensions.

Higher dimensions are a necessary feature in mathematics as the only way to understand certain concepts. For example, string theory—so far, our best explanation for how the tiniest particles in the universe behave—requires the existence of higher physical dimensions. Otherwise, the behavior of vibrating “strings” that theorists think make up all particles cannot work. Today’s physicists accept the theoretical possibility that our universe started out with as many as 11 dimensions .

Over the years, experiments and mathematical modeling have provided some inkling of four-dimensional characteristics. For example, two-dimensional experiments in both the U.S. and in Europe 2018 showed evidence of a four-dimensional existence because scientists could make logical inferences based on how electrons behave while undergoing a specific change in their electric charge. First, the electrons moved in one direction through an electrically conductive material. When researchers put a magnetic field perpendicular to the material, it forced the electrons to divert either to the left or to the right. The electrons were essentially stuck in two dimensions. Physicists involved in the experiment extrapolated that a comparable effect would occur in the fourth dimension, and that we would see its effects in our familiar third dimension.

In other words, we can see evidence of the fourth dimension in our own. As three-dimensional beings, we cast a two-dimensional shadow. The same principle could be true for four-dimensional beings who could leave traces of themselves in our world. To understand how, let’s start with the basic concept of how different dimensions relate to one another.

As residents of a three-dimensional world, we easily perceive three dimensions: height (or length), width, and depth. We can travel up and down, left and right, and forward and backward. And we know the lower dimensions. The zeroth dimension is a point, which has no height, width, or depth. The first dimension branches out, becoming a line, with length only. Nothing would exist beyond this line to a one-dimensional creature. Two-dimensional shapes, like the characters in Flatland, are what we can draw on paper, like squares and circles. They have both width and length, and they can also travel in these directions. A two-dimensional creature wouldn’t be able to escape the piece of paper they live on, however, because they simply cannot perceive anything other than two dimensions. With the addition of a third dimension, a far richer reality emerges, because now the shape can travel up and down, leaping right off the paper. This is the shape of the universe we know and take for granted.

Now comes the tricky part. To step into higher dimensions, you’re basically making a right angle to the previous shape: first squaring the line for the second dimension, and then cubing the line to reach the third dimension. To step up to the fourth dimension, you need to do the same thing—make a right angle to the cube, extending it into a “ hypercube ,” or tesseract. Four lines connect to every point, and every surface is a cube. Sometimes physicists describe the fourth dimension as a space that’s perpendicular to a cube. (Feeling lost yet?) This description, while geometrically accurate, is not much help—no brain wired for a 3D world can understand what a tesseract or other higher-dimension object actually looks like. So theoretically, we would not be able to perceive a four-dimensional being with our senses—unless they somehow physically accessed our three-dimensional reality.

How would we see aliens from higher dimensions if they entered our three-dimensional world? “Well, it depends on what part of the 4D object is passing through our 3D space,” science communicator Toby Hendy explains. She provides a neat visualization of what it would be like to see a four-dimensional object in our three-dimensional reality on her YouTube channel, Tibees. Supposing there is a four-dimensional ball, Hendy holds out her hand, and a little red ball of yarn pops into existence on it. “Right now, we see a small sphere, because this slice is near the edge of the 4D ball,” she says. As the ball moves through our world, it appears to grow. As it moves out of our plane of existence, it shrinks again, then disappears. “The 4D ball still exists, but our slice of space does not contain it,” Hendy concludes. On the other hand, a 4D being would be able to see the ball and know exactly where it is, she says.

In the same way, an alien from the fourth dimension may pass largely undetected through a “slice” of our three-dimensional universe. Only a part of it would appear, materializing out of nowhere, and then we would see more and more of its parts. But we’d never be able to see all of it at once, because we can’t actually see the fourth dimension with our senses. Finally, it would shrink down to nothing again.

If you can’t quite wrap your head around that (we don’t blame you) then think of it this way: The square in Flatland cannot comprehend the third dimension. So how would it perceive a sphere, a three-dimensional object, invading its two-dimensional plane of existence? Imagine you are the square on the sheet of paper. As the sphere descends onto the sheet in front of you, you start to see a small circle appearing (out of nowhere). This is the leading “slice” of the sphere that’s entering your two dimensions. Gradually, as the sphere continues passing through your two-dimensional plane, the circle—which indicates the diameter of the sphere’s body—gets larger and larger, until the middle of the sphere is fully in your plane. This slice of sphere then shrinks, until nothing is left. At this point, the sphere has traveled completely out of your 2D universe.

For us, that means aliens might be larger than they appear, because we would see only a three-dimensional slice of them at a time. This is exemplified in the games Miegakure and 4D Miner , where you can experience a four-dimensional world through our comprehensible three-dimensional perceptions. So, objects like trees and hills appear and disappear, since our perception of them changes as we move through three-dimensional space. The 4D “hyperspider” predators in 3D Miner are extra menacing because they can move through objects as they hunt us. That’s because a four-dimensional object can slide through gaps that we can’t perceive or access.

Once we hit higher dimensions, it becomes even more difficult to picture what the beings living in there would be like, and how they would interact with our three-dimensional lives. Mathematically, you can keep going with these dimensional iterations, and make cool-looking models. In the end, even models like these four-dimensional shapes are overly simple analogies for a complex reality that’s out of our reach.

So, what would a four-dimensional alien make of us if they visited our three-dimensional reality? Theory suggests they would be able to see inside of us. Just as we can see an array of objects scattered over a two-dimensional surface, all at once from our vantage point in the third dimension, a four-dimensional being would be able to see all of us at once. Kind of creepy.

Perhaps while they are studying us, we have no clue. Based on what we know about physical dimensions, it may be hard to detect an alien spacecraft popping into our space. Could it be that if any UFO sightings are truly related to aliens, they’re hard to prove because the aliens can easily slip away into a higher dimension?

Before joining Popular Mechanics , Manasee Wagh worked as a newspaper reporter, a science journalist, a tech writer, and a computer engineer. She’s always looking for ways to combine the three greatest joys in her life: science, travel, and food.

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During this summer’s Bowers Undergraduate Research Experience, Joyce Yang ’27, a computer science major, worked with Cornell’s EmPRISE Lab to develop a robotic system to transfer a patient from a bed to a wheelchair.

Summer program gives undergraduates a taste of research life

By louis dipietro cornell ann s. bowers college of computing and information science..

Research takes time.

“On top of classes and extracurricular commitments, I often struggle to find enough time for research during the semester,” said James Kim ’25, a computer science and math major.

But this summer, thanks to the  Bowers Undergraduate Research Experience (BURE) , Kim, along with 60 of his undergraduate peers from the Cornell Ann S. Bowers College of Computing and Information Science, can give research the time it requires. In the process, Kim is discovering a career path. Working alongside  Amy Kuceyeski , adjunct associate professor of statistics and data science and professor of mathematics in radiology and of mathematics in neuroscience in the Feil Family Brain and Mind Research Institute at Weill Cornell Medicine, Kim uses machine learning models to analyze brain scans and predict the onset of various neurological disorders. He plans to pursue a doctoral degree in computer science, with a focus on artificial intelligence, neuroscience and health care.

Kabir Samsi ’26, a computer science major and music minor, spent his summer working in a Cornell lab as part of the Bowers Undergraduate Research Experience.

“What I was able to get done over two months during the semester, I got done in maybe a week or two here during the summer,” Kim said. “BURE has been extremely worthwhile. The mentorship and the support have been priceless.”

Hosted by the Cornell Bowers CIS and encompassing Cornell’s Ithaca campus and Cornell Tech in New York City, BURE is a 10-week summer program where Cornell undergraduates are paired with one of nearly 40 faculty mentors and their doctoral students to tackle a specific research project. BURE students work full time for an hourly wage or a research stipend. Open to all Cornell Bowers CIS undergraduates, the program is meant to give undergraduate students a preview of the open, free-form nature of research so that they can decide whether pursuing a doctoral degree is the right choice, said  Adrian Sampson , associate professor of computer science and a BURE mentor. 

“If students are at all considering a career in research, it does not make sense to immediately apply to a Ph.D. program without doing any,” said Sampson, who is mentoring six undergraduate students in his  Computer Architecture and Programming Abstractions (CAPRA) lab this summer. “By the end of the summer, I hope students get a sense of whether this is something they want to do long term. Maybe they like research, or they don’t. There’s no shame in either direction.” 

BURE student Joyce Yang ’27 is working with the  EmPRISE Lab , directed by  Tapomayukh Bhattacharjee , assistant professor of computer science, to develop a robotic system that can safely transfer a care recipient from a bed to a wheelchair. While there has been limited research on this topic, human transferring is one of caregivers’ most challenging daily tasks, making her work all the more meaningful, Yang said. 

“With research, I think it’s fun that you never really know when you’re going to be done with a project, and that it can go as far as you’d like it to go,” said Yang, a computer science major. “There’s a possibility of discovering or inventing something that’s novel, and, especially with robotics, something that could truly have a positive impact in people’s lives.”

Along with research opportunities, BURE offers a series of weekly talks from mentors about life as a researcher, and regular social events throughout the summer. At BURE’s conclusion, participating students showcase their work during a research symposium.

BURE has given Kabir Samsi ’26 the time and experience to decide what he’d like to do after his undergraduate studies, he said.

“The experience has been fantastic,” said Samsi, a computer science major and music minor who is working in Sampson’s CAPRA Lab on a project related to packet scheduling, a model for improving the way computer systems handle flows of data. “I think it's hugely inspired me to want to continue a path of research.”

New this summer is  BURE Next , run by the Cornell Bowers CIS’s Office of Diversity, Equity, Inclusion, and Belonging. It was created to encourage research opportunities for undergraduate students from underrepresented groups everywhere – not just at Cornell; anyone can apply. Four students are participating in BURE Next this summer.

BURE is offered every summer, and Cornell Bowers CIS students can apply via the  college’s website .

Louis DiPietro is a writer for the Cornell Ann S. Bowers College of Computing and Information Science.

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