what is a research proposal psychology

What (Exactly) Is A Research Proposal?

A simple explainer with examples + free template.

By: Derek Jansen (MBA) | Reviewed By: Dr Eunice Rautenbach | June 2020 (Updated April 2023)

Whether you’re nearing the end of your degree and your dissertation is on the horizon, or you’re planning to apply for a PhD program, chances are you’ll need to craft a convincing research proposal . If you’re on this page, you’re probably unsure exactly what the research proposal is all about. Well, you’ve come to the right place.

Overview: Research Proposal Basics

• What a research proposal is
• What a research proposal needs to cover
• How to structure your research proposal
• Example /sample proposals
• Proposal writing FAQs
• Key takeaways & additional resources

What is a research proposal?

Simply put, a research proposal is a structured, formal document that explains what you plan to research (your research topic), why it’s worth researching (your justification), and how  you plan to investigate it (your methodology). 

The purpose of the research proposal (its job, so to speak) is to convince  your research supervisor, committee or university that your research is  suitable  (for the requirements of the degree program) and  manageable  (given the time and resource constraints you will face). 

The most important word here is “ convince ” – in other words, your research proposal needs to  sell  your research idea (to whoever is going to approve it). If it doesn’t convince them (of its suitability and manageability), you’ll need to revise and resubmit . This will cost you valuable time, which will either delay the start of your research or eat into its time allowance (which is bad news). 

What goes into a research proposal?

A good dissertation or thesis proposal needs to cover the “ what “, “ why ” and” how ” of the proposed study. Let’s look at each of these attributes in a little more detail:

Your proposal needs to clearly articulate your research topic . This needs to be specific and unambiguous . Your research topic should make it clear exactly what you plan to research and in what context. Here’s an example of a well-articulated research topic:

An investigation into the factors which impact female Generation Y consumer’s likelihood to promote a specific makeup brand to their peers: a British context

As you can see, this topic is extremely clear. From this one line we can see exactly:

• What’s being investigated – factors that make people promote or advocate for a brand of a specific makeup brand
• Who it involves – female Gen-Y consumers
• In what context – the United Kingdom

So, make sure that your research proposal provides a detailed explanation of your research topic . If possible, also briefly outline your research aims and objectives , and perhaps even your research questions (although in some cases you’ll only develop these at a later stage). Needless to say, don’t start writing your proposal until you have a clear topic in mind , or you’ll end up waffling and your research proposal will suffer as a result of this.

Need a helping hand?

As we touched on earlier, it’s not good enough to simply propose a research topic – you need to justify why your topic is original . In other words, what makes it  unique ? What gap in the current literature does it fill? If it’s simply a rehash of the existing research, it’s probably not going to get approval – it needs to be fresh.

But,  originality  alone is not enough. Once you’ve ticked that box, you also need to justify why your proposed topic is  important . In other words, what value will it add to the world if you achieve your research aims?

As an example, let’s look at the sample research topic we mentioned earlier (factors impacting brand advocacy). In this case, if the research could uncover relevant factors, these findings would be very useful to marketers in the cosmetics industry, and would, therefore, have commercial value . That is a clear justification for the research.

So, when you’re crafting your research proposal, remember that it’s not enough for a topic to simply be unique. It needs to be useful and value-creating – and you need to convey that value in your proposal. If you’re struggling to find a research topic that makes the cut, watch  our video covering how to find a research topic .

It’s all good and well to have a great topic that’s original and valuable, but you’re not going to convince anyone to approve it without discussing the practicalities – in other words:

• How will you actually undertake your research (i.e., your methodology)?
• Is your research methodology appropriate given your research aims?
• Is your approach manageable given your constraints (time, money, etc.)?

While it’s generally not expected that you’ll have a fully fleshed-out methodology at the proposal stage, you’ll likely still need to provide a high-level overview of your research methodology . Here are some important questions you’ll need to address in your research proposal:

• Will you take a qualitative , quantitative or mixed -method approach?
• What sampling strategy will you adopt?
• How will you collect your data (e.g., interviews, surveys, etc)?
• How will you analyse your data (e.g., descriptive and inferential statistics , content analysis, discourse analysis, etc, .)?
• What potential limitations will your methodology carry?

So, be sure to give some thought to the practicalities of your research and have at least a basic methodological plan before you start writing up your proposal. If this all sounds rather intimidating, the video below provides a good introduction to research methodology and the key choices you’ll need to make.

How To Structure A Research Proposal

Now that we’ve covered the key points that need to be addressed in a proposal, you may be wondering, “ But how is a research proposal structured? “.

While the exact structure and format required for a research proposal differs from university to university, there are four “essential ingredients” that commonly make up the structure of a research proposal:

• A rich introduction and background to the proposed research
• An initial literature review covering the existing research
• An overview of the proposed research methodology
• A discussion regarding the practicalities (project plans, timelines, etc.)

In the video below, we unpack each of these four sections, step by step.

Research Proposal Examples/Samples

In the video below, we provide a detailed walkthrough of two successful research proposals (Master’s and PhD-level), as well as our popular free proposal template.

Proposal Writing FAQs

How long should a research proposal be.

This varies tremendously, depending on the university, the field of study (e.g., social sciences vs natural sciences), and the level of the degree (e.g. undergraduate, Masters or PhD) – so it’s always best to check with your university what their specific requirements are before you start planning your proposal.

As a rough guide, a formal research proposal at Masters-level often ranges between 2000-3000 words, while a PhD-level proposal can be far more detailed, ranging from 5000-8000 words. In some cases, a rough outline of the topic is all that’s needed, while in other cases, universities expect a very detailed proposal that essentially forms the first three chapters of the dissertation or thesis.

The takeaway – be sure to check with your institution before you start writing.

How do I choose a topic for my research proposal?

Finding a good research topic is a process that involves multiple steps. We cover the topic ideation process in this video post.

How do I write a literature review for my proposal?

While you typically won’t need a comprehensive literature review at the proposal stage, you still need to demonstrate that you’re familiar with the key literature and are able to synthesise it. We explain the literature review process here.

How do I create a timeline and budget for my proposal?

We explain how to craft a project plan/timeline and budget in Research Proposal Bootcamp .

Which referencing format should I use in my research proposal?

The expectations and requirements regarding formatting and referencing vary from institution to institution. Therefore, you’ll need to check this information with your university.

What common proposal writing mistakes do I need to look out for?

We’ve create a video post about some of the most common mistakes students make when writing a proposal – you can access that here . If you’re short on time, here’s a quick summary:

• The research topic is too broad (or just poorly articulated).
• The research aims, objectives and questions don’t align.
• The research topic is not well justified.
• The study has a weak theoretical foundation.
• The research design is not well articulated well enough.
• Poor writing and sloppy presentation.
• Poor project planning and risk management.
• Not following the university’s specific criteria.

Key Takeaways & Additional Resources

As you write up your research proposal, remember the all-important core purpose:  to convince . Your research proposal needs to sell your study in terms of suitability and viability. So, focus on crafting a convincing narrative to ensure a strong proposal.

At the same time, pay close attention to your university’s requirements. While we’ve covered the essentials here, every institution has its own set of expectations and it’s essential that you follow these to maximise your chances of approval.

By the way, we’ve got plenty more resources to help you fast-track your research proposal. Here are some of our most popular resources to get you started:

• Proposal Writing 101 : A Introductory Webinar
• Research Proposal Bootcamp : The Ultimate Online Course
• Template : A basic template to help you craft your proposal

If you’re looking for 1-on-1 support with your research proposal, be sure to check out our private coaching service , where we hold your hand through the proposal development process (and the entire research journey), step by step.

Psst… there’s more!

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

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51 Comments

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You’re most welcome. We don’t have any research proposals that we can share (the students own the intellectual property), but you might find our research proposal template useful: https://gradcoach.com/research-proposal-template/

Cheruiyot Moses Kipyegon

Thanks alot. It was an eye opener that came timely enough before my imminent proposal defense. Thanks, again

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Writing your research proposal

When applying to study for a PhD or MPhil in the School of Psychology and Clinical Language Sciences, you will typically need to send us an initial 500-word research proposal.

The content and structure of your research proposal will be influenced by the nature of the project you wish to pursue. The guidance and suggested headings provided here should help you to structure and present your ideas clearly.

Your initial research proposal

When writing your initial research proposal, you can either address it to the School generally, or to a specific supervisor if you have one in mind. 

Potential supervisors in the School will review your initial research proposal, and get in touch with you to discuss it. Your proposal may change following this conversation. Depending on the supervisor and the outcome of this discussion, you may be asked to produce a longer research proposal of between 2,000 and 4,000 words.

Tips on writing a research proposal

Before you write your research proposal, we strongly recommend that you check our  research page  and  individual supervisor profiles  to view our areas of expertise.

• You should avoid the use of overly long sentences and technical jargon.
• It is important that the proposed research is realistic and feasible so that the outcomes can be achieved within the scale of a typical research degree programme. This is usually three years full-time for a PhD (or two years for an MPhil). 
• A strong research proposal can and should make a positive first impression about your potential to become a good researcher. It should demonstrate that your ideas are focused, interesting and realistic.

Although you should write your proposal yourself, it is best if you discuss its contents with your proposed supervisor before you submit it. If this is not possible, then try to get someone else (such as an academic at your current or previous institution) to read and comment on it to ensure that it is sufficiently clear.

Your proposal needs a clear working title that gives an indication of what you want to study. You are not committed to continuing with the same title once you begin your studies.

Research question

For many projects, you'll usually address one main question, which can sometimes be broken down into several sub-questions. However, it's OK to have two or three research questions where appropriate.

In your research proposal, you'll need to state your main research question(s), explain its significance, and locate it within the relevant literature, in order to set out the context into which your research will fit. You should only refer to research that is directly relevant to your proposal. 

Questions to address in your research proposal

You will need to address questions such as:

• What is the general area in which you will be working, and the specific aspect(s) of that area that will be your focus of inquiry?
• What is the problem, shortcoming, or gap in this area that you would like to address?
• What is the main research question or aim that you want to address?
• What are the specific objectives for the proposed research that follow from this?
• Why is the proposed research significant, why does it matter (either theoretically or practically), and why does it excite you?
• How does your work relate to other relevant research in the department?

Methodology

You will need to explain how you will go about answering your question (or achieving your aim), and why you will use your intended approach to address the question/aim. 

Questions you might need to address include:

• What steps will you take and what methods will you use to address your question? For instance, do you plan to use quantitative or qualitative methods?
• How will your proposed method provide a reliable answer to your question?
• What sources or data will you use?
• If your project involves an experimental approach, what specific hypothesis or hypotheses will you address?
• What specific techniques will you use to test the hypothesis? For example, laboratory procedures, interviews, questionnaires, modelling, simulation, text analysis, use of secondary data sources.
• What practical considerations are there? For example, what equipment, facilities, and other resources will be required?
• What relevant skills and experience do you have with the proposed methods?
• Will you need to collaborate with other researchers and organisations?
• Are there particular ethical issues that will need to be considered (for example, all projects using human participants require ethical approval)?
• Are there any potential problems or difficulties that you foresee (for example, delays in gaining access to special populations or materials) that might affect your rate of progress?

You will need to provide a rough timeline for the completion of your research to show that the project is achievable (given the facilities and resources required) in no more than three years of full-time study (or part-time equivalent) for a PhD, and two years for an MPhil.

Expected outcomes

You need to say something about what the expected outcomes of your project would be.

How, for example, does it make a contribution to knowledge? How does it advance theoretical understanding? How might it contribute to policy or practice?

If you are aiming to study for a PhD, then you need to say how your proposed research will make an original contribution to knowledge. This is not essential if you are aiming to study for an MPhil, although you will still need to show originality in the application of knowledge.

List of references

You will need to provide a list of any key articles or texts that you have referred to in your proposal.

References should be listed in the appropriate style for your subject area (e.g. Harvard). You should only reference texts that you think are central to your proposed work, rather than a bibliography listing everything written on the subject. 

Format and proofreading

Make sure that your proposal is well structured and clearly written. It is important that you carefully check your proposal for typographical and spelling errors, consistency of style, and accuracy of references, before submitting it.

The proposal should be aesthetically well presented, and look professional (e.g. no font inconsistencies, headings clearly identifiable). If you include figures, then they should be accompanied by captions underneath).

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Guidelines for the Research Proposal

The purpose of the research proposal is to help you organise your ideas about your major research project, and to enable you to get feedback on what you are planning to do. It is worth putting in careful thought at this stage: it will mean that the project is more likely to run smoothly in the long run, and much of what you write in it can eventually be recycled into the final thesis write-up. The proposal is also needed for NHS ethics applications.

The proposal is a course requirement, but is not an assessed piece of work. It is due early in Term 1 of Year 2 (the date will be announced). Please submit an electronic copy to the Research Administrator (following the procedure detailed on the Project Support Moodle site).

There is no formal word limit (but conciseness is essential): we suggest that you aim for around 2500 words, plus references and any necessary appendices. Format it double-spaced, and include page numbers so that reviewers can easily refer back to specific points. Since it is not assessed work, it does not need your code number; please put your name on it.

Some sample proposals from previous years are available on the 'Proposal' (Topic 4) section of the Research Project Support Moodle. 

The structure and content of the proposal is similar to that of the introduction and method sections of a journal article:

A title page with (1) the provisional title of the project (this can be modified later on), (2) your name, (3) your internal and external supervisors, (4) the setting where the study is likely to take place and (5) the date. If you are doing a joint project with other trainees, this should be stated here and the other trainees should be named. (Including all of this information on the title page is very helpful for the course's administrative purposes.)

The introduction (3 or 4 pages) states what the research topic is and why it is important. It succinctly reviews previous research in the area and relevant psychological theory, and summarises the rationale for the intended study. The introduction should end with one or more clearly stated research questions or hypotheses.

The method section (3 or 4 pages) describes in detail the proposed research methods: the setting, participants, sample size, research design, measures, ethical considerations, and data analysis procedures. For quantitative research, the sample size needs to be determined by a power calculation, which should be reported here (a separate document on power calculations is on the Project Support Moodle site). Measures that are not well known should be included as an appendix. For qualitative research, describe your interview schedule (append a draft) and your proposed method of analysis, including the types of "credibility checks" that you propose to use.

The service user involvement section (one or two or paragraphs) describes how the needs and views of service users or other relevant members of the public have shaped or will shape your project. This could include examples of service users influencing: (1) the choice of topic to be researched; (2) decisions about methodology; (3) the design of materials such as invitation letters and participant information sheets; (4) the design of a qualitative interview schedule, and (5) the ethics of the research. Please outline any plans for service user involvement later in the project.  Remember, whilst there are formal ways of eliciting service user views, such as the use of focus groups and services such as FAST-R ( Feasibility And Support to Timely recruitment for Research ), informal sources of information are also valuable, and can be described here. This might include conversations with individual service users, experiences from clinical work, or interactions that take place on-line.

Whilst we strongly encourage trainees to use service user input when developing their research, this is not obligatory. Sometimes consultation with service users and other members of the public is not necessary, for example in some studies of healthy volunteers. If there has been no input from service users or members of the public, please use this section to state this, and briefly (a couple of sentences) explain why. 

The feasibility section has a brief appraisal of how realistic your project is in practical terms, particularly with regard to recruiting participants. Many trainees (and their supervisors!) tend to be over-optimistic at this stage of the project, and it is a good idea to address potential recruitment problems at the outset. You should also include a fallback plan in case things go pear-shaped (which, sadly, in clinical research they often do). It would be helpful if you provided an estimate of what the smallest viable sample size would be, so that we (and you) have an idea of what a worst-case scenario might look like. A general timetable for the project is given in the guidelines for the major research project . If you anticipate any major departures from this, give details and a rationale.

The joint working section is, of course, only required if you are proposing a joint project. In this section provide a brief outline of what your anticipated contribution to the overall study will be, and what will be done by others. There should be a statement of how your research question(s) and analyses will be distinct from those of other students involved in the project. It will be helpful to consult the course guidelines on joint projects when planning any joint study. 

The institutional arrangements , e.g., the setting, and who has agreed to be your internal and external supervisors.

The costings section sets out any substantial expenses that the project may entail. Note that the Department has limited funds and does not normally fund projects costing more than £250 over two years (see the course document on research funding ). If your project is likely to cost more than this,  the course may possibly  be able to provide some additional funding up to £400, although this cannot be guaranteed. It is your responsibility to secure additional funding for expenses beyond that allocated by the course.

The reference list gives all cited works. (It is important to check that this is complete, because reviewers may consult some of your references to understand the background to your study.)

Appendices include measures not in common use, draft qualitative interview schedules, etc.

Supervisors' input

Research proposals usually need to go through several drafts. Show your internal and external supervisors a draft early enough so that you can incorporate their comments into a revised draft before submission.

Review of the proposal

The proposal will be read by one of the academic staff, and will be discussed at a proposals review meeting in October. The resultant written feedback that you receive (towards the end of October) will give you a clear indication of the general feasibility of your project, and suggest any changes that will need to be made before it goes ahead. 

This process counts as the "peer review" that is required for all NHS ethics applications. Therefore, once your proposal has passed the review stage, those of you applying for NHS ethics should contact Will Mandy to ask for a letter confirming that your project has been successfully peer reviewed.  

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How to Write a Psychology Research Proposal

Writing a brief research proposal cultivates all kinds of intellectual skills..

Posted May 3, 2018 | Reviewed by Matt Huston

NOTE: This post was co-authored with the SUNY New Paltz students in PSY 307 (1) of Spring 2018 (in particular, Zachary Ertrachter, Mariah Griffin, and Gianna Petrera).

A solid psychology education should lead to all kinds of outcomes related to analytical skills, statistical reasoning, and research design. One of the core skills that I try to cultivate in my students is the ability to write a clear and concise research proposal. Being able to write a solid research proposal demonstrates the following qualities:

* An understanding of some theoretical concepts in the behavioral sciences

* The ability to organize one's ideas in a coherent and efficient way

* The ability to get to the foundation of a set of research ideas

* The ability to write clearly and concisely in a scientific manner

* The ability to describe a hypothesis, proposed methodology, and proposed set of statistical analyses

* The ability to efficiently contextualize one's ideas in the existing scientific literature in some area

* The ability to think about how statistics can be used to examine some research-based predictions

* and probably more

Toward this end, I tend to give the following assignment to students in my undergraduate class in evolutionary psychology :

"Evolutionary psychology is a research-based enterprise. And learning about evolutionary psychology tends to lead people to develop hypotheses about human nature. For this assignment, you are to write a brief paper that does the following:

• Articulates a hypothesis based on evolutionary reasoning
• Describes methods that would test this hypothesis
• Includes predicted outcomes and implications

Importantly, this paper is to be no more than two pages—printed on two sides of a single page. And it should be double-spaced.

This kind of assignment, forcing you to get your ideas reduced in a small space matches the kinds of assignments that professionals have all the time—this assignment will help prepare you for this kind of assignment in your future."

As an end-of-the-semester activity, to demonstrate the process of writing a research proposal, we actually worked together today (5/3/2018) as a class to develop and to fully create a research proposal. The document below is the result of this work. Nice job, evolutionary psychology students!

Research Proposal: A Proposed Study on the Mental Health Effects of Outdoor Experiences

Written by the SUNY New Paltz Spring 2018 Evolutionary Psychology Class

The evolutionary psychological perspective on human behavior suggests that instances of evolutionary mismatch may lead to adverse psychological functioning (e.g., Geher, 2014). Mismatch can exist in multiple domains, including nutritional offerings, exercise, community size, technology, transportation, and the nature of one’s physical environment—among many others.

One important way that modern environments are mismatched to ancestral environments pertains to the proportion of time that people spend in the out of doors. In fact, many evolutionists have made the case that humans have a natural love of the living world (see Wilson, 1984). Based on this reasoning, it may be the case that increased time spent in the outdoors leads to positive mental health outcomes. On the other hand, we might predict that increased time spent in human-made, non-natural environments might have adverse mental health outcomes.

Several mental health outcomes have been documented as important in all kinds of human psychological functioning. In particular, this research will focus on depressive tendencies, tendencies toward anxiety , and general psychological well-being. The basic prediction is that increased out-of-door experiences will correspond to less depression and anxiety and higher scores on a measure of well-being.

This study will utilize a randomized between-groups design using 200 relatively fit American adults ranging in age from 18-34 selected from Southern California. Using a random-assignment process, participants will be assigned to either (a) the outdoor condition or (b) the indoor condition.

Participants in the two experimental conditions will all be included in a climbing camp for two weeks. The outdoor participants will be at an all-outside version of the camp in the Sierra Nevada Mountains of Southern California in September. The indoor participants will be at an all-indoor version of the camp at an indoor climbing gym for the same two weeks. Importantly, these climbing experiences will be overseen by the same Climbing Camp with the same activities and personnel.

This methodology would allow for the isolation of the “out of doors” variable and will have participants across groups have the same experiences otherwise. Given the random assignment to experimental conditions, this methodology would allow for an examination of the specific effects of the outdoor experience.

To measure anxiety, Liebowitz’s (1987) measure of social anxiety will be used. To measure depressive tendencies, Kessler et al.’s (2003) measure will be used. We will create a 5-item Likert scale of subjective well-being that participants will also complete.

Anticipated Results

Across the three outcome measures, including social anxiety, depressive tendencies, and subjective well-being, it is predicted that the outdoor group will score as less anxious, less depressed, and as higher in subjective well-being. These results will be examined using three between-groups t-tests.

Potential Implications

Evolutionists are interested in the mismatches between modern conditions and ancestral conditions. Simply being in the out-of-doors or not is a classic mismatch that surrounds us all the time, often unbeknownst to ourselves. The experimental design here would allow us to zero in on the effects of the outdoor experience as it relates to mental health outcomes, controlling for individual differences between groups.

If the predicted pattern of results is obtained, then we would have strong evidence suggesting that people function best when they are provided with outdoor experiences. Such a pattern would support an evolutionary-mismatch approach to understanding the interface of people with their physical environments.

Here is a PDF link to the two-page paper. Enjoy!

Geher, G. (2014). Evolutionary Psychology 101. New York: Springer.

Kessler, R .C., Andrews, G., Colpe, L.J., Hiripi, E., Mroczek, D.K., Normand, S.L....Zaslavsky,A.M. (2002) Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32, 959-956.

Liebowitz, M. R . (1987). Social phobia. Modern Problems of Pharmacopsychiatry, 22, 141-173.

Wilson, Edward O. (1984). Biophilia. Cambridge: Harvard University Press

Glenn Geher, Ph.D. , is professor of psychology at the State University of New York at New Paltz. He is founding director of the campus’ Evolutionary Studies (EvoS) program.

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Research proposal

Your research proposal is your opportunity to show your prospective supervisor that you have interesting ideas, and that you have some idea of how to test them.

It should consist of about two sides of A4, including references and it should include:

• clear empirical objective
• some idea of the research methods you would use
• some theoretical background

Firstly you need to lay out the theoretical background to your research question, and then provide a rationale for testing a hypothesis or two. You should briefly outline your methods, your sample, and the various techniques you hope to use. Finally give a brief statement of how the data will be analysed, and outline what various findings might lead to.

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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

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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.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

McCombes, S. & George, T. (2023, June 13). How to Write a Research Proposal | Examples & Templates. Scribbr. Retrieved 2 April 2024, from https://www.scribbr.co.uk/the-research-process/research-proposal-explained/

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Research Methods In Psychology

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Learn about our Editorial Process

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

Research methods in psychology are systematic procedures used to observe, describe, predict, and explain behavior and mental processes. They include experiments, surveys, case studies, and naturalistic observations, ensuring data collection is objective and reliable to understand and explain psychological phenomena.

Hypotheses are statements about the prediction of the results, that can be verified or disproved by some investigation.

There are four types of hypotheses :

• Null Hypotheses (H0 ) – these predict that no difference will be found in the results between the conditions. Typically these are written ‘There will be no difference…’
• Alternative Hypotheses (Ha or H1) – these predict that there will be a significant difference in the results between the two conditions. This is also known as the experimental hypothesis.
• One-tailed (directional) hypotheses – these state the specific direction the researcher expects the results to move in, e.g. higher, lower, more, less. In a correlation study, the predicted direction of the correlation can be either positive or negative.
• Two-tailed (non-directional) hypotheses – these state that a difference will be found between the conditions of the independent variable but does not state the direction of a difference or relationship. Typically these are always written ‘There will be a difference ….’

All research has an alternative hypothesis (either a one-tailed or two-tailed) and a corresponding null hypothesis.

Once the research is conducted and results are found, psychologists must accept one hypothesis and reject the other. 

So, if a difference is found, the Psychologist would accept the alternative hypothesis and reject the null.  The opposite applies if no difference is found.

Sampling techniques

Sampling is the process of selecting a representative group from the population under study.

A sample is the participants you select from a target population (the group you are interested in) to make generalizations about.

Representative means the extent to which a sample mirrors a researcher’s target population and reflects its characteristics.

Generalisability means the extent to which their findings can be applied to the larger population of which their sample was a part.

• Volunteer sample : where participants pick themselves through newspaper adverts, noticeboards or online.
• Opportunity sampling : also known as convenience sampling , uses people who are available at the time the study is carried out and willing to take part. It is based on convenience.
• Random sampling : when every person in the target population has an equal chance of being selected. An example of random sampling would be picking names out of a hat.
• Systematic sampling : when a system is used to select participants. Picking every Nth person from all possible participants. N = the number of people in the research population / the number of people needed for the sample.
• Stratified sampling : when you identify the subgroups and select participants in proportion to their occurrences.
• Snowball sampling : when researchers find a few participants, and then ask them to find participants themselves and so on.
• Quota sampling : when researchers will be told to ensure the sample fits certain quotas, for example they might be told to find 90 participants, with 30 of them being unemployed.

Experiments always have an independent and dependent variable .

• The independent variable is the one the experimenter manipulates (the thing that changes between the conditions the participants are placed into). It is assumed to have a direct effect on the dependent variable.
• The dependent variable is the thing being measured, or the results of the experiment.

Operationalization of variables means making them measurable/quantifiable. We must use operationalization to ensure that variables are in a form that can be easily tested.

For instance, we can’t really measure ‘happiness’, but we can measure how many times a person smiles within a two-hour period. 

By operationalizing variables, we make it easy for someone else to replicate our research. Remember, this is important because we can check if our findings are reliable.

Extraneous variables are all variables which are not independent variable but could affect the results of the experiment.

It can be a natural characteristic of the participant, such as intelligence levels, gender, or age for example, or it could be a situational feature of the environment such as lighting or noise.

Demand characteristics are a type of extraneous variable that occurs if the participants work out the aims of the research study, they may begin to behave in a certain way.

For example, in Milgram’s research , critics argued that participants worked out that the shocks were not real and they administered them as they thought this was what was required of them. 

Extraneous variables must be controlled so that they do not affect (confound) the results.

Randomly allocating participants to their conditions or using a matched pairs experimental design can help to reduce participant variables. 

Situational variables are controlled by using standardized procedures, ensuring every participant in a given condition is treated in the same way

Experimental Design

Experimental design refers to how participants are allocated to each condition of the independent variable, such as a control or experimental group.

• Independent design ( between-groups design ): each participant is selected for only one group. With the independent design, the most common way of deciding which participants go into which group is by means of randomization. 
• Matched participants design : each participant is selected for only one group, but the participants in the two groups are matched for some relevant factor or factors (e.g. ability; sex; age).
• Repeated measures design ( within groups) : each participant appears in both groups, so that there are exactly the same participants in each group.
• The main problem with the repeated measures design is that there may well be order effects. Their experiences during the experiment may change the participants in various ways.
• They may perform better when they appear in the second group because they have gained useful information about the experiment or about the task. On the other hand, they may perform less well on the second occasion because of tiredness or boredom.
• Counterbalancing is the best way of preventing order effects from disrupting the findings of an experiment, and involves ensuring that each condition is equally likely to be used first and second by the participants.

If we wish to compare two groups with respect to a given independent variable, it is essential to make sure that the two groups do not differ in any other important way. 

Experimental Methods

All experimental methods involve an iv (independent variable) and dv (dependent variable)..

• Field experiments are conducted in the everyday (natural) environment of the participants. The experimenter still manipulates the IV, but in a real-life setting. It may be possible to control extraneous variables, though such control is more difficult than in a lab experiment.
• Natural experiments are when a naturally occurring IV is investigated that isn’t deliberately manipulated, it exists anyway. Participants are not randomly allocated, and the natural event may only occur rarely.

Case studies are in-depth investigations of a person, group, event, or community. It uses information from a range of sources, such as from the person concerned and also from their family and friends.

Many techniques may be used such as interviews, psychological tests, observations and experiments. Case studies are generally longitudinal: in other words, they follow the individual or group over an extended period of time. 

Case studies are widely used in psychology and among the best-known ones carried out were by Sigmund Freud . He conducted very detailed investigations into the private lives of his patients in an attempt to both understand and help them overcome their illnesses.

Case studies provide rich qualitative data and have high levels of ecological validity. However, it is difficult to generalize from individual cases as each one has unique characteristics.

Correlational Studies

Correlation means association; it is a measure of the extent to which two variables are related. One of the variables can be regarded as the predictor variable with the other one as the outcome variable.

Correlational studies typically involve obtaining two different measures from a group of participants, and then assessing the degree of association between the measures. 

The predictor variable can be seen as occurring before the outcome variable in some sense. It is called the predictor variable, because it forms the basis for predicting the value of the outcome variable.

Relationships between variables can be displayed on a graph or as a numerical score called a correlation coefficient.

• If an increase in one variable tends to be associated with an increase in the other, then this is known as a positive correlation .
• If an increase in one variable tends to be associated with a decrease in the other, then this is known as a negative correlation .
• A zero correlation occurs when there is no relationship between variables.

After looking at the scattergraph, if we want to be sure that a significant relationship does exist between the two variables, a statistical test of correlation can be conducted, such as Spearman’s rho.

The test will give us a score, called a correlation coefficient . This is a value between 0 and 1, and the closer to 1 the score is, the stronger the relationship between the variables. This value can be both positive e.g. 0.63, or negative -0.63.

A correlation between variables, however, does not automatically mean that the change in one variable is the cause of the change in the values of the other variable. A correlation only shows if there is a relationship between variables.

Correlation does not always prove causation, as a third variable may be involved. 

Interview Methods

Interviews are commonly divided into two types: structured and unstructured.

A fixed, predetermined set of questions is put to every participant in the same order and in the same way. 

Responses are recorded on a questionnaire, and the researcher presets the order and wording of questions, and sometimes the range of alternative answers.

The interviewer stays within their role and maintains social distance from the interviewee.

There are no set questions, and the participant can raise whatever topics he/she feels are relevant and ask them in their own way. Questions are posed about participants’ answers to the subject

Unstructured interviews are most useful in qualitative research to analyze attitudes and values.

Though they rarely provide a valid basis for generalization, their main advantage is that they enable the researcher to probe social actors’ subjective point of view. 

Questionnaire Method

Questionnaires can be thought of as a kind of written interview. They can be carried out face to face, by telephone, or post.

The choice of questions is important because of the need to avoid bias or ambiguity in the questions, ‘leading’ the respondent or causing offense.

• Open questions are designed to encourage a full, meaningful answer using the subject’s own knowledge and feelings. They provide insights into feelings, opinions, and understanding. Example: “How do you feel about that situation?”
• Closed questions can be answered with a simple “yes” or “no” or specific information, limiting the depth of response. They are useful for gathering specific facts or confirming details. Example: “Do you feel anxious in crowds?”

Its other practical advantages are that it is cheaper than face-to-face interviews and can be used to contact many respondents scattered over a wide area relatively quickly.

Observations

There are different types of observation methods :

• Covert observation is where the researcher doesn’t tell the participants they are being observed until after the study is complete. There could be ethical problems or deception and consent with this particular observation method.
• Overt observation is where a researcher tells the participants they are being observed and what they are being observed for.
• Controlled : behavior is observed under controlled laboratory conditions (e.g., Bandura’s Bobo doll study).
• Natural : Here, spontaneous behavior is recorded in a natural setting.
• Participant : Here, the observer has direct contact with the group of people they are observing. The researcher becomes a member of the group they are researching.  
• Non-participant (aka “fly on the wall): The researcher does not have direct contact with the people being observed. The observation of participants’ behavior is from a distance

Pilot Study

A pilot  study is a small scale preliminary study conducted in order to evaluate the feasibility of the key s teps in a future, full-scale project.

A pilot study is an initial run-through of the procedures to be used in an investigation; it involves selecting a few people and trying out the study on them. It is possible to save time, and in some cases, money, by identifying any flaws in the procedures designed by the researcher.

A pilot study can help the researcher spot any ambiguities (i.e. unusual things) or confusion in the information given to participants or problems with the task devised.

Sometimes the task is too hard, and the researcher may get a floor effect, because none of the participants can score at all or can complete the task – all performances are low.

The opposite effect is a ceiling effect, when the task is so easy that all achieve virtually full marks or top performances and are “hitting the ceiling”.

Research Design

In cross-sectional research , a researcher compares multiple segments of the population at the same time

Sometimes, we want to see how people change over time, as in studies of human development and lifespan. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time.

In cohort studies , the participants must share a common factor or characteristic such as age, demographic, or occupation. A cohort study is a type of longitudinal study in which researchers monitor and observe a chosen population over an extended period.

Triangulation means using more than one research method to improve the study’s validity.

Reliability

Reliability is a measure of consistency, if a particular measurement is repeated and the same result is obtained then it is described as being reliable.

• Test-retest reliability :  assessing the same person on two different occasions which shows the extent to which the test produces the same answers.
• Inter-observer reliability : the extent to which there is an agreement between two or more observers.

Meta-Analysis

A meta-analysis is a systematic review that involves identifying an aim and then searching for research studies that have addressed similar aims/hypotheses.

This is done by looking through various databases, and then decisions are made about what studies are to be included/excluded.

Strengths: Increases the conclusions’ validity as they’re based on a wider range.

Weaknesses: Research designs in studies can vary, so they are not truly comparable.

Peer Review

A researcher submits an article to a journal. The choice of the journal may be determined by the journal’s audience or prestige.

The journal selects two or more appropriate experts (psychologists working in a similar field) to peer review the article without payment. The peer reviewers assess: the methods and designs used, originality of the findings, the validity of the original research findings and its content, structure and language.

Feedback from the reviewer determines whether the article is accepted. The article may be: Accepted as it is, accepted with revisions, sent back to the author to revise and re-submit or rejected without the possibility of submission.

The editor makes the final decision whether to accept or reject the research report based on the reviewers comments/ recommendations.

Peer review is important because it prevent faulty data from entering the public domain, it provides a way of checking the validity of findings and the quality of the methodology and is used to assess the research rating of university departments.

Peer reviews may be an ideal, whereas in practice there are lots of problems. For example, it slows publication down and may prevent unusual, new work being published. Some reviewers might use it as an opportunity to prevent competing researchers from publishing work.

Some people doubt whether peer review can really prevent the publication of fraudulent research.

The advent of the internet means that a lot of research and academic comment is being published without official peer reviews than before, though systems are evolving on the internet where everyone really has a chance to offer their opinions and police the quality of research.

Types of Data

• Quantitative data is numerical data e.g. reaction time or number of mistakes. It represents how much or how long, how many there are of something. A tally of behavioral categories and closed questions in a questionnaire collect quantitative data.
• Qualitative data is virtually any type of information that can be observed and recorded that is not numerical in nature and can be in the form of written or verbal communication. Open questions in questionnaires and accounts from observational studies collect qualitative data.
• Primary data is first-hand data collected for the purpose of the investigation.
• Secondary data is information that has been collected by someone other than the person who is conducting the research e.g. taken from journals, books or articles.

Validity means how well a piece of research actually measures what it sets out to, or how well it reflects the reality it claims to represent.

Validity is whether the observed effect is genuine and represents what is actually out there in the world.

• Concurrent validity is the extent to which a psychological measure relates to an existing similar measure and obtains close results. For example, a new intelligence test compared to an established test.
• Face validity : does the test measure what it’s supposed to measure ‘on the face of it’. This is done by ‘eyeballing’ the measuring or by passing it to an expert to check.
• Ecological validit y is the extent to which findings from a research study can be generalized to other settings / real life.
• Temporal validity is the extent to which findings from a research study can be generalized to other historical times.

Features of Science

• Paradigm – A set of shared assumptions and agreed methods within a scientific discipline.
• Paradigm shift – The result of the scientific revolution: a significant change in the dominant unifying theory within a scientific discipline.
• Objectivity – When all sources of personal bias are minimised so not to distort or influence the research process.
• Empirical method – Scientific approaches that are based on the gathering of evidence through direct observation and experience.
• Replicability – The extent to which scientific procedures and findings can be repeated by other researchers.
• Falsifiability – The principle that a theory cannot be considered scientific unless it admits the possibility of being proved untrue.

Statistical Testing

A significant result is one where there is a low probability that chance factors were responsible for any observed difference, correlation, or association in the variables tested.

If our test is significant, we can reject our null hypothesis and accept our alternative hypothesis.

If our test is not significant, we can accept our null hypothesis and reject our alternative hypothesis. A null hypothesis is a statement of no effect.

In Psychology, we use p < 0.05 (as it strikes a balance between making a type I and II error) but p < 0.01 is used in tests that could cause harm like introducing a new drug.

A type I error is when the null hypothesis is rejected when it should have been accepted (happens when a lenient significance level is used, an error of optimism).

A type II error is when the null hypothesis is accepted when it should have been rejected (happens when a stringent significance level is used, an error of pessimism).

Ethical Issues

• Informed consent is when participants are able to make an informed judgment about whether to take part. It causes them to guess the aims of the study and change their behavior.
• To deal with it, we can gain presumptive consent or ask them to formally indicate their agreement to participate but it may invalidate the purpose of the study and it is not guaranteed that the participants would understand.
• Deception should only be used when it is approved by an ethics committee, as it involves deliberately misleading or withholding information. Participants should be fully debriefed after the study but debriefing can’t turn the clock back.
• All participants should be informed at the beginning that they have the right to withdraw if they ever feel distressed or uncomfortable.
• It causes bias as the ones that stayed are obedient and some may not withdraw as they may have been given incentives or feel like they’re spoiling the study. Researchers can offer the right to withdraw data after participation.
• Participants should all have protection from harm . The researcher should avoid risks greater than those experienced in everyday life and they should stop the study if any harm is suspected. However, the harm may not be apparent at the time of the study.
• Confidentiality concerns the communication of personal information. The researchers should not record any names but use numbers or false names though it may not be possible as it is sometimes possible to work out who the researchers were.

Psychology Research Proposal

Proposals, whatever they may be, may it be a wedding proposal , business proposal , or a research proposal , all have a similar goal. It is to hear the word “yes” from the mouths of the recipient. Despite that, these proposals give different feelings to the proposer. If you are here to get tips on coming up with a research proposal, you get what I mean. Don’t worry, this article will help you get ideas on how to devise your psychology research proposal.

6+ Psychology Research Proposal Examples

1. cognitive psychology research proposal.

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What Is a Psychology Research Proposal?

A psychology research proposal is an academic document that a person submits to propose a research project, specifically in the field of clinical psychology. The purpose of research proposals is to outline the research questions and summarize your selected research topic. Another necessary reason for creating this proposal is to present ways that you think would be best in conducting the study and justifying it.

How to Compose a Reliable Psychology Research Proposal

There’s a time psychology students dread. It’s the moment that signifies the beginning of hell week or maybe hell month. It is when the professors ask their students to submit their research proposals.  Coming up with a psychology research proposal might cost you a lot of sleepless nights. To get back the sleep that you deserve, instead of pulling your hair out, read this article and follow the steps mentioned below. 

1. Formulate a Working Title

The title of your educational research should reflect what your study will discuss. Omit unnecessary words. Only keep those words that contribute to the meaning and the impact of your title. Make your title engaging to attract the attention of the readers. It is necessary to take a moment to think about a research title that is both powerful and meaningful.

2. Construct Your Abstract

Abstracts should be short and concise. That said, it should be at least a hundred words and three hundred words at most. Describe your research in your proposal but don’t include too many details yet. A good abstract would provide an introduction to the key objectives and the hypothesis of your proposed research.

3. Include Necessary Components

There are necessary components that make an abstract complete. After your title and abstract statement, you should also include the research scope and your methodology. This segment will explain who your respondents are and how you will deal with possible problems you will encounter while conducting your study. Also, you should include the resources that you will use in the process.

4. Devise Your Appendices

Appendices have sections A to E. Appendix A is where you should cite a list of your sources. In the second section, Appendix B is where you should present your project timeline . Your list of skills and achievements relevant to the research belongs in Appendix C. You should detail your budget plan in Appendix D and print your approval letter in the last appendix.

What are interesting psychology research topics?

You can choose from plenty of compelling topics. Discrimination, social cognition, propaganda, gender roles, and bullying are some examples of it. Whatever topic you choose, the quality of your paper depends on how well you carry out your research. Even the most boring topics can be made interesting by a good researcher.

What are the differences between quantitative and qualitative approaches?

These approaches are two very different things. Qualitative research focuses more on analyzing and interpreting ideas, theories, and data. The methods employed in this approach are discourse analysis, content analysis, and thematic analysis. In contrast, quantitative research deals more with statistics and numbers and often involves a research survey , experiment, and testing hypotheses.

What are the qualitative approaches?

You can apply different approaches in conducting qualitative research. The most common ones are narrative research, action research , ethnography, grounded theory, and phenomenological research. Although all of these falls under the qualitative approach, they incorporate different data collection. Researchers implementing these approaches have varying aims. They also have different perspectives in the direction they should take in conducting their thesis.

The study of psychology focuses on people’s minds and cognitive behavior and how they function in different social settings and environments. That said, there are still a lot of mysteries about how people process their thoughts. If your goal is to uncover one of them, take your first step by composing a foolproof psychology research proposal and get it approved.

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

What Is a Research Design | Types, Guide & Examples

Published on June 7, 2021 by Shona McCombes . Revised on November 20, 2023 by Pritha Bhandari.

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

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

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

Table of contents

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

• Introduction

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

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

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

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

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

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

Practical and ethical considerations when designing research

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

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

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

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

Types of quantitative research designs

Quantitative designs can be split into four main types.

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

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

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

Types of qualitative research designs

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

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

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

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

Defining the population

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

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

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

• Sampling methods

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

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

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

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

Case selection in qualitative research

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

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

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

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

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

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

Survey methods

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

Observation methods

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

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

Other methods of data collection

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

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

Secondary data

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

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

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

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

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

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

Operationalization

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

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

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

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

Reliability and validity

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

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

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

Sampling procedures

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

That means making decisions about things like:

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

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

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

Data management

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

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

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

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

Quantitative data analysis

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

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

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

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

Using inferential statistics , you can:

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

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

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

Qualitative data analysis

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

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

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

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

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

 Statistics

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

Research bias

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

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

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

Quantitative research designs can be divided into two main categories:

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

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

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

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

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

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

Operationalization means turning abstract conceptual ideas into measurable observations.

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

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

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

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Key Elements of Psychology Research Proposals + Sample Templates

Table of Contents

Need help writing a research proposal for your psychology study? Then you’ve come to the right place! In this article, we’ll guide you through the key elements you should include for a winning proposal. We’ll also share a  research proposal sample psychology that you can refer to! With a well-written research proposal, you’ll be able to showcase the significance of your study. Plus, it can impress potential reviewers and secure the necessary funding for your project.

What is a Psychology Research Proposal?

A psychology research proposal outlines a proposed study consisting of the objectives, hypotheses, methods, and expected outcomes . This document serves as the blueprint for conducting a successful experiment or data collection effort in the field of psychology. Research proposals are often required by granting agencies or academic institutions. Taking the time to create an effective proposal is essential for ensuring the success of any research project.

Key Elements of Psychology Research Proposals

The section you should include in a research proposal depend on the requirements set by your professor or grant agency. But in general, research proposals will need to have the following key elements:

Research Topic

This is the main focus of the research proposal. It should be explained clearly and concisely. This section aims to:

• Identify the specific area of psychology that will be explored.
• Provide a brief overview of existing knowledge on the subject.
• Outline the objectives and goals of the proposed study.

Research Questions

A list of research questions should be included in the proposal to help guide the study’s investigation. These can range from broad inquiries into a given topic to more specific queries regarding certain aspects or areas related to the topic.

Literature Review

An effective literature review serves two essential purposes:

• It provides an overview of the current understanding of the topic.
• Demonstrates that the researcher has conducted adequate background research to develop an informed hypothesis.

Hypothesis/Research Objectives

The hypothesis forms the basis of the research project and outlines what the researcher expects to find. It should also include any specific objectives associated with testing the hypothesis.

Methodology

This sections focuses on the methods used to conduct the study. It provides information on the study’s sample size, participant demographics, research environment, data collection techniques, and so on.

Data Analysis Plan

Once data has been collected, it must be analyzed to draw meaningful conclusions. Outlining a data analysis plan helps ensure that all relevant aspects are considered during analysis.

Expected Results

You won’t be able to predict precisely how an experiment will play out. But you can still give some insight into expected outcomes based on available evidence. This will allow readers to evaluate the validity and practicality of the proposed research project.

Significance and Implications

Explaining the project’s significance gives readers a better idea of why it was conducted in the first place. Detail the potential implications of the findings. This will help others consider the study’s broader application beyond simply answering the research question.

Research Proposal Sample Psychology Template

Introduction.

A. Background of the study : Provide an overview of the studied topic. This includes pertinent facts and figures demonstrating the need for further research. Be sure to include any relevant literature reviews and a concise explanation of the focus of your proposal. B. Rationale/Rationale for Study : Explain why this study should be conducted, including its value to the scientific community. Include evidence from previous studies or theories that may suggest your proposed project’s potential outcomes. C. Hypothesis/Objectives : State your hypothesis or research objectives clearly and succinctly. Describe how you plan to conduct the study and provide detailed information on collecting and analyzing data.

A. Participants : Detail the criteria used to identify and select participants for the study. Specify how many participants are needed and describe their demographic profiles (e.g., age range, gender, education level, etc.). B. Instruments : Identify the instruments (e.g., questionnaires, interviews, surveys) used to collect data and discuss how they were developed and validated. Cite any sources consulted when creating these instruments. C. Procedures : Outline all procedures to be followed during the study, including recruitment methods, data collection techniques, and analysis processes.

D. Data Analysis

Describe the statistical tests to analyze data and explain how results will be interpreted. Make sure to specify whether any ethical issues have been considered when conducting the study and discuss any implications for future research projects.

A. Summarize your study’s purpose, methodology, and findings and make recommendations for future action based on these results. B. Conclude by comprehensively reviewing what has been learned through your work. You can also thank anyone who assisted or supported you throughout the process.

A. Background : Describe the need for research in psychology and how it relates to your study. Give a brief overview of past studies or experiments conducted on the same topic and explain why further exploration is necessary. B. Purpose & Significance : Explain why you are undertaking this research project and what impact it could have on society. Elucidate what questions will be answered by carrying out the proposed study and which theories may be examined as part of the process. C. Objectives : Outline the specific objectives of the research, such as exploring certain phenomena or measuring particular variables. Specify any hypotheses that may be tested during the investigation. D. Study Design & Methodology : Summarize the methods chosen to achieve the project’s aims and justify their selection. Describe key components of the methodology used, including participant selection criteria, data collection techniques, and analysis plans.

A. Overview : Include relevant literature on your research question and discuss its implications. B. Strengths & Limitations : Analyze the strengths and limitations of existing work in the field. You can also identify gaps that need to be filled with further research. C. Synthesis & Recommendations : Present a literature review synthesis and make recommendations for future studies based on your findings.

Results & Analysis

A. Data Collection : Describe how data was collected from participants, such as surveys or interviews, along with details about sample size and demographics. B. Analysis Techniques : Clarify which statistical tools were used for analyzing results, such as linear regression or ANOVA tests. Explain how data was processed before being presented in charts or tables. C. Findings & Implications : Present the key findings from the analysis, commenting on both positive and negative outcomes where applicable. Discuss potential implications for psychological theory, practice, or policy in light of these results.

Discussion & Conclusions

Summarize the main points discussed throughout the paper and reiterate the purpose of the study and its results/implications.

Final Words

 So there you have it: the key elements of a psychology research proposal and some sample templates to get you started. Writing a winning proposal is not easy. But by taking a cue from this  research proposal sample psychology , you can present your project more effectively.

Abir Ghenaiet

Abir is a data analyst and researcher. Among her interests are artificial intelligence, machine learning, and natural language processing. As a humanitarian and educator, she actively supports women in tech and promotes diversity.

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Must-Have Psychology Research Proposal Examples with Templates and Samples

Siranjeev Santhanam

Psychology aims to understand the intricacies of one of the most elusive aspects of our world –the human mind and psyche. Researchers seeking mastery of the science aim to comprehend vital human psychological phenomena, such as personality, social interaction, mental health, and more. To achieve these objectives, researchers devise complex and structured research projects. To communicate the intent and actions to be taken in this research, a research proposal is a prerequisite.

A research proposal is a document expands on the crucial elements of a planned research project. It distils the essence of the research down to digestible parts, including some major components such as the topic, methods, expected outcomes, etc.

Are you on the hunt for research budget templates to save yourself time and energy? Allow us to direct you to our other article discussing research budget templates. Click here and read it right away.

There are advantages to using a research proposal, when delving into this domain. First, it assists the researcher in outlining and breaking down their research idea, thereby focusing attention and energy on the pressing areas of the research. Second, it aids the researcher in testing their own existing knowledge of the subject and identifying any gaps in knowledge that may need to be addressed. Lastly, it gives researchers tools to convey their research plan to others, allowing for an environment that facilitates discussion, feedback and cooperation during the breadth of the research.

Writing a research proposal can be an intimidating task when one approaches it all alone. It is for this reason that content-rich templates exist.

Are you struggling to draft an impressive research grant proposal? Don’t sweat it. Click right here and read our other blog on ten research grant proposals now.

In this blog, we’re going to be looking templates meant to be used for research proposals. We will delve into intimate details of slides in this template, expanding on the substance of each slide.

Each of these templates is 100% customizable and editable; the content-ready nature offers you the structure you were searching for, and a starting point. The editability feature means you can tailor the presentation according to audience profile. 

Let’s begin a tour of the templates now!

Template 1 Project objectives of psychology research proposal

Use this creative and illustrative PPT Slide to flesh out the core aims of your research process. Fully use the substance of the slide to advance the goals of your psychological study, establishing its broad objectives. In addition to this, include some crucial details such as the project duration, project cost and project location for a cohesive and wholesome presentation experience. 

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Template 2 Determine methods for psychology research project

Use this presentation slide to expand on the processes guiding your research project, establishing clarity and cohesion among the team as you do. Using this template, the reviewers of the research proposal can easily identify and elaborate on the methods behind the research operation. The major research segments of study design, participants involved and essential data required are integrated into the slide. Get this presentation template now!

Template 3 Determine patient assessment for psychology research project

If you’re having a hard time establishing control over the procedures and imposing structure within your research parameters, this patient assessment slide could be a fine asset for you. The slide lays out a list of parameters with the sub-headings of forum completion, questionnaire, cognitive training and more, against a timeline of training, which you can customize.

Template 4 Timeframe for activities associated with psychology research project

Are you struggling to keep your schedule intact and get your research work in order? We have got the tools to assist you on this front. This slide comes with two broad headlines, project tasks, and duration in weeks, allowing you to impart a more stringent and organized work methodology. Advance the goals of your overarching research procedures, get more done and boost productivity with the incorporation of this well-made slide into your research framework.

Template 5 Determine budget for psychology research proposal

Implement a more methodical and organized budget with the help of data-driven principles that this presentation template outlines. This slide enables you to examine the internal mechanisms of the research project and match the price range for relevant activities, ensuring a tighter and more controlled budget in the process.

Template 6 Addressing brief description about our firm

Present yourself in a meticulous and professional manner to clients, stakeholders and customers, showcasing the best parts of your internal ethos. Enrich your image in the eyes of the public, using the vision, mission and the ‘About Us’ segments to highlight your internal values and curate the right appearance. Build stronger ties with partners, cultivate an aura of competence and confidence and achieve more with the download of this slide into your presentation library.

Template 7 Details about our extensive experienced team

Get this simple and easy-to-use slide to portray your internal teams to an audience in an optimized and appropriate manner. Address doubts about your experience and competency by delving into the core details of your team players, incorporating images, titles and descriptions to create an aura of sophistication in the process. 

Template 8 Case study depicting our firm capability in delivering service 

Use this presentation slide to improve your corporate reach and enhance research protocols within the psychology domain. The subheadings included are About Firm, Description, Research Findings, and Results. Bolster credibility within the industry and attract investors for your research proposal with an integration of this slide into your presentation.

Template 9 Next steps for psychology research proposal

Bridge channels of communications with all parties during the course of the research with the use of this PPT Template. Use it to establish a more cohesive and productive environment for research and engage with all parties in a cogent manner. This slide provides information on the next steps that will happen in the proposal and how the parties concerned will move forward in the context of project progress.

Template 10 Contact us

This slide is for you, if you’re seeking to highlight your contact details in a professional and elegant manner, allowing other parties to seek you out through whatever means them deem appropriate. Add your address, email and contact number with this slide, as well as any other details that you deem fit, facilitating smoother and more efficient business practices within your firm. 

THE PERFECT TOOL FOR PSYCHOLOGY RESEARCH

Psychology research proposals are a crucial ingredient within the field of psychology and science. They give researchers the tools to set research objectives. If you find writing a research proposal to be daunting or overwhelming, then download our ready-to-use research proposal presentation templates and impart a clear and effective structure to your proposal. Our templates can be your means of conserving time and energy, while also enforcing quality and consistency across the process.

Impress your colleagues and attain greater success in your field of research by perusing our other blog on survey research proposal. Click here and read it now.

FAQs on Psychology Research Proposals

What is a psychological research proposal.

A psychological research proposal is a document in the domain of academia that is presented to advance a research project relevant to the field of psychology. The purpose of the document is to showcase crucial research ideas and to create a summarized version of the data, with the inclusion of a title page, a literature review, methodology, references and other details.

How do you write a research proposal for psychology?

There are many methods and approaches one can adopt when writing a psychology research proposal. It is productive to break down the document, and include the following subsections:

Working title

This section needs to encapsulate the core principles and the areas of focus of your research. 

An abstract section

This section must contain a summary of the core methods and objectives and of the predicted outcomes of your research in a short and concise means. 

Introduction 

Here, you supply vital information on your research and establish your hypothesis. 

A method section 

In this area of the document, you must expand on the means through which you conduct the research, including the number and profile of participants, procedures, design, as well as any ethical issues that the research impinges upon

A result section 

Here, you must underline the predicted outcomes of your research and include any supposed limitations or challenges.

A discussion section 

In this final phase of the document, you lay out an interpretation of the results and include some directions for field work.

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How to Write a Research Protocol: Tips and Tricks

Matteo cameli.

Department of Cardiovascular Diseases, University of Siena, Siena, Italy

Giuseppina Novo

1 Biomedical Department of Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, Palermo, Italy

Maurizio Tusa

2 Division of Cardiology, IRCCS Policlinico San Donato, Italy

Giulia Elena Mandoli

Giovanni corrado.

3 Department of Cardiology, Valduce Hospital, Como, Italy

Frank Benedetto

4 Division of Cardiology, Bianchi-Melacrino-Morelli Hospital, Reggio Calabria, Italy

Francesco Antonini-Canterin

5 High Specialization Rehabilitation Hospital, ORAS, Motta di Livenza, Treviso, Italy

Rodolfo Citro

6 Heart Department, University Hospital “San Giovanni di Dio e Ruggi D’Aragona”, Salerno, Italy

The first drafting of the protocol for a new research project should start from a solid idea with one or more of these goals:

• Overcoming the limits of the current knowledge in a determinate field with the aim of bridging a “knowledge gap”
• Bringing something new in a scarcely explored field
• Validating or nullifying previous results obtained in limited records by studies on a wider population.

A research proposal born with the intent to convince the others that your project is worthy and you are able to manage it with a complete and specific work plan. With a strong idea in mind, it is time to write a document where all the aspects of the future research project must be explained in a precise, understandable manner. This will successively help the researcher to present it and process and elaborate the obtained results.[ 1 ] The protocol manuscript should also underline both the pros and the potentialities of the idea to put it under a new light.[ 2 ]

Our paper will give the authors suggestions and advices regarding how to organize a research protocol, step by step [ Table 1 ].

Main sections and subsections in a complete research protocol

A research protocol must start from the definition of the coordinator of the whole study: all the details of the main investigator must be reported in the first paragraph. This will allow each participant to know who ask for in case of doubts or criticalities during the research. If the study will be multicentric, in the first section must be written also the number of the involved centers, each one possibly matched with the corresponding reference investigator.

Second section: Specific features of the research study

After completing the administrative details, the next step is to provide and extend title of the study: This is made for identifying the field of research and the aim of the study itself in a sort of brief summary of the research; the title must be followed by a unique acronym, like an ID of the protocol. If the protocol has been already exposed and approved by the Ethical Committee, it is appropriate to include also protocol number.

A list of 3–7 keywords must be listed to simplify the collocation of the protocol in its field of research, including, for example, disease, research tools, and analyzed parameters (e.g. three-dimensional echocardiography, right ventricle, end-stage heart failure, and prognosis).

The protocol must continue stating the research background that is the rational cause on the base on which the study is pursued. This section is written to answer some of these questions: what is the project about? What is already available in this field in the current knowledge? Why we need to overcome that data? and How will the community will from the present study?

As for an original research manuscript, the introduction to the project must include a brief review of the literature (with corresponding references). It is also fundamental to support the premises of the study, to underline the importance of the project in that particular time period and above all, of the materials and methods that will be employed. The rationale should accurately put in evidence the current lack in that field of scientific knowledge, following a precise, logical thread with concrete solutions regarding how to overcome the gaps and to conclude with the hypothesis of the project. A distinct paragraph can be dedicated to references, paying attention to select only the previous papers that can help the reader to focus the attention on the topic and to not excessively extend the list. In the references paragraph, the main studies regarding the object of the research but also state-of-art reviews updating the most recent discoveries in the field should be inserted.

The section should successively expose the study design: monocentric or multicentric, retrospective or prospective, controlled or uncontrolled, open-label or blinded, randomized or nonrandomized, and observational or experimental. It should also be explained why that particular design has been chosen.

At this point, the author must include the primary objective of the research, that is, the main goal of the study. This is a crucial part of the proposal and more than 4–5 aims should be avoided to do not reduce the accuracy of the project. Using verbs as “to demonstrate,” “to assess,” “to verify,” “to improve,” “to reduce,” and “to compare” help to give relevance to this section. Add also a description of the general characteristics of the population that will be enrolled in the study (if different subgroups are planned, the criteria on the base of which they will be divided should be specified); primary and secondary end-points, including all the variables that represent the measure of the objective (e.g., all-cause death, cardiovascular death, hospitalization, and side effects of a drug) follow in this section.

All the single parameters and variables that will be assessed during the study must be accurately and precisely listed along with the tools, the methods, the process schedule timing, and the technical details by which they will be acquired; Here, the author should explain how the Investigators who work in the other involved centers have to sent their results and acquired data to the Core Laboratory (e.g. by filled databases or by sending images).

A special attention must then be paid to clarify the planning of each examination the study patients will undergo: basal evaluation, potential follow-up schedule, treatment strategy plan, comparison between new and already-in-use drugs, dose and dosage of the treatment in case of a pharmacological study. This part can be enhanced by flowcharts or algorithms that allow a more immediate comprehension and interpretation of the study strategy.

This section may result more complete if one more subsection, illustrating the expected results, is included. Considering the idea at the base on the project, the endpoints and the pre-arranged objectives, the author can explain how its research project will

• Contribute to optimize the scientific knowledge in that specific field
• Give real successive implications in clinical practice
• Pave the way for future scientific research in the same or similar area of interest, etc.

The study population must be specified in detail, starting from inclusion criteria (including age and gender if it is planned to be restricted) and exclusion criteria: the more precise are the lists, the more accurate the enrollment of the subjects will be to avoid selection biases. This will also help to raise the success rate of the project and to reduce the risks of statistical error during the successive analysis of the data. The sample size should be planned and justified on the base of a statistic calculation considering the incidence and prevalence of the disease, frequency of use of a drug, etc., and possibly also indicating if the study considers a minimal or maximal number of subjects for each enrollment center (in case of multicentric studies).

This section of the protocol should end with some indications regarding timing and duration of the study: Starting and end of enrollment date, starting and end of inclusion date, potential frequency of control examinations, and timing of the analysis of the acquired data. If already settled, it can be useful to indicate also the type of statistical analysis that the investigators will apply to the data.

It is always necessary to prepare an informed consent to be proposed to the patient where premises, methods, and aims of the research together with advantages (e.g., some visits or diagnostic examinations for free) and possible risks derived from the participation to the study.

In this short section, various pieces of information regarding safety of the study must be added (a classification is fundamental in case of studies that expect the use of invasive procedures or drugs use). Usually, for nonobservational studies, an insurance coverage must be considered.

If the investigators have requested or plan to request funding or financial support, all the obtained resources must be listed to avoid conflicts of interest.

C ONCLUSION

Writing a complete and detailed document is a paramount step before starting a research projects. The protocol, as described in this paper, should be simply and correctly written but must clarify all the aspects of the protocol. The document could be divided into three different sessions to give all the parts the appropriate attention.

R EFERENCES

The Graduate College at the University of Illinois at Urbana-Champaign

Technology-based outreach (social media), organization, description, responsibilities, and qualifications.

Description:

Works with and under the Media Communications Coordinator in all facets of service development, delivery, and administration of technology-based outreach and communications from the Counseling Center.

• Conduct general outreach and prevention programming for the Counseling Center.
• Provide regular assistance to general counseling center operational demands.
• Meet regularly with the Media Communications Coordinator.
• Assist in the creation of Counseling Center social media content (for Facebook, Twitter, Instagram, YouTube, and TikTok).
• Assist in maintaining and updating Counseling Center website content.
• Participate in supervision of Counseling Center Paraprofessionals (CCPs) in outreach roles and skill building workshops.
• Other duties as assigned.

Qualifications:

• Graduate student in Communication, Advertising, Clinical Psychology, Community Health, Counseling Psychology, Educational Policy Organization and Leadership, Educational Psychology, Medical Scholars, Nutritional Sciences, Psychology, Social Work, Special Education, Speech and Hearing Sciences, or other approved academic programs that would meet qualifications for a pre-professional experience
• Experience in a mental health setting is desirable
• Availability during the Counseling Center’s business hours (Monday, Tuesday and Friday 8 am to 5 pm; Wednesday and Thursday 8 am to 7 pm). Must also be flexible to work some evenings and weekends. 

Compensation

Commensurate with current university policies on graduate student stipends and fee waivers.  All applicants will be required to fill out a FAFSA form to assess eligibility for Federal Work Study Assistantships. 

Application Procedure

Review of applications will begin immediately and will continue until the position is filled. To apply for the position please complete the form found at https://forms.illinois.edu/sec/702301541.   If you have any questions regarding the application process, please email Mary Barker, Human Resources Associate, [email protected].

Contact Name

Contact email, contact phone.