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Graduate School Applications: Writing a Research Statement

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What is a Research Statement?

A research statement is a short document that provides a brief history of your past research experience, the current state of your research, and the future work you intend to complete.

The research statement is a common component of a potential candidate’s application for post-undergraduate study. This may include applications for graduate programs, post-doctoral fellowships, or faculty positions. The research statement is often the primary way that a committee determines if a candidate’s interests and past experience make them a good fit for their program/institution.

What Should It Look Like?

Research statements are generally one to two single-spaced pages. You should be sure to thoroughly read and follow the length and content requirements for each individual application.

Your research statement should situate your work within the larger context of your field and show how your works contributes to, complicates, or counters other work being done. It should be written for an audience of other professionals in your field.

What Should It Include?

Your statement should start by articulating the broader field that you are working within and the larger question or questions that you are interested in answering. It should then move to articulate your specific interest.

The body of your statement should include a brief history of your past research . What questions did you initially set out to answer in your research project? What did you find? How did it contribute to your field? (i.e. did it lead to academic publications, conferences, or collaborations?). How did your past research propel you forward?

It should also address your present research . What questions are you actively trying to solve? What have you found so far? How are you connecting your research to the larger academic conversation? (i.e. do you have any publications under review, upcoming conferences, or other professional engagements?) What are the larger implications of your work?

Finally, it should describe the future trajectory on which you intend to take your research. What further questions do you want to solve? How do you intend to find answers to these questions? How can the institution to which you are applying help you in that process? What are the broader implications of your potential results?

Note: Make sure that the research project that you propose can be completed at the institution to which you are applying.

Other Considerations:

• What is the primary question that you have tried to address over the course of your academic career? Why is this question important to the field? How has each stage of your work related to that question?
• Include a few specific examples that show your success. What tangible solutions have you found to the question that you were trying to answer? How have your solutions impacted the larger field? Examples can include references to published findings, conference presentations, or other professional involvement.
• Be confident about your skills and abilities. The research statement is your opportunity to sell yourself to an institution. Show that you are self-motivated and passionate about your project.

/images/cornell/logo35pt_cornell_white.svg" alt="what is statement in research"> Cornell University --> Graduate School

Research statement, what is a research statement.

The research statement (or statement of research interests) is a common component of academic job applications. It is a summary of your research accomplishments, current work, and future direction and potential of your work.

The statement can discuss specific issues such as:

• funding history and potential
• requirements for laboratory equipment and space and other resources
• potential research and industrial collaborations
• how your research contributes to your field
• future direction of your research

The research statement should be technical, but should be intelligible to all members of the department, including those outside your subdiscipline. So keep the “big picture” in mind. The strongest research statements present a readable, compelling, and realistic research agenda that fits well with the needs, facilities, and goals of the department.

Research statements can be weakened by:

• overly ambitious proposals
• lack of clear direction
• lack of big-picture focus
• inadequate attention to the needs and facilities of the department or position

Why a Research Statement?

• It conveys to search committees the pieces of your professional identity and charts the course of your scholarly journey.
• It communicates a sense that your research will follow logically from what you have done and that it will be different, important, and innovative.
• It gives a context for your research interests—Why does your research matter? The so what?
• It combines your achievements and current work with the proposal for upcoming research.
• areas of specialty and expertise
• potential to get funding
• academic strengths and abilities
• compatibility with the department or school
• ability to think and communicate like a serious scholar and/or scientist

Formatting of Research Statements

The goal of the research statement is to introduce yourself to a search committee, which will probably contain scientists both in and outside your field, and get them excited about your research. To encourage people to read it:

• make it one or two pages, three at most
• use informative section headings and subheadings
• use bullets
• use an easily readable font size
• make the margins a reasonable size

Organization of Research Statements

Think of the overarching theme guiding your main research subject area. Write an essay that lays out:

• The main theme(s) and why it is important and what specific skills you use to attack the problem.
• A few specific examples of problems you have already solved with success to build credibility and inform people outside your field about what you do.
• A discussion of the future direction of your research. This section should be really exciting to people both in and outside your field. Don’t sell yourself short; if you think your research could lead to answers for big important questions, say so!
• A final paragraph that gives a good overall impression of your research.

Writing Research Statements

• Avoid jargon. Make sure that you describe your research in language that many people outside your specific subject area can understand. Ask people both in and outside your field to read it before you send your application. A search committee won’t get excited about something they can’t understand.
• Write as clearly, concisely, and concretely as you can.
• Keep it at a summary level; give more detail in the job talk.
• Ask others to proofread it. Be sure there are no spelling errors.
• Convince the search committee not only that you are knowledgeable, but that you are the right person to carry out the research.
• Include information that sets you apart (e.g., publication in  Science, Nature,  or a prestigious journal in your field).
• What excites you about your research? Sound fresh.
• Include preliminary results and how to build on results.
• Point out how current faculty may become future partners.
• Acknowledge the work of others.
• Use language that shows you are an independent researcher.
• BUT focus on your research work, not yourself.
• Include potential funding partners and industrial collaborations. Be creative!
• Provide a summary of your research.
• Put in background material to give the context/relevance/significance of your research.
• List major findings, outcomes, and implications.
• Describe both current and planned (future) research.
• Communicate a sense that your research will follow logically from what you have done and that it will be unique, significant, and innovative (and easy to fund).

Describe Your Future Goals or Research Plans

• Major problem(s) you want to focus on in your research.
• The problem’s relevance and significance to the field.
• Your specific goals for the next three to five years, including potential impact and outcomes.
• If you know what a particular agency funds, you can name the agency and briefly outline a proposal.
• Give broad enough goals so that if one area doesn’t get funded, you can pursue other research goals and funding.

Identify Potential Funding Sources

• Almost every institution wants to know whether you’ll be able to get external funding for research.
• Try to provide some possible sources of funding for the research, such as NIH, NSF, foundations, private agencies.
• Mention past funding, if appropriate.

Be Realistic

There is a delicate balance between a realistic research statement where you promise to work on problems you really think you can solve and over-reaching or dabbling in too many subject areas. Select an over-arching theme for your research statement and leave miscellaneous ideas or projects out. Everyone knows that you will work on more than what you mention in this statement.

Consider Also Preparing a Longer Version

• A longer version (five–15 pages) can be brought to your interview. (Check with your advisor to see if this is necessary.)
• You may be asked to describe research plans and budget in detail at the campus interview. Be prepared.
• Include laboratory needs (how much budget you need for equipment, how many grad assistants, etc.) to start up the research.

Samples of Research Statements

To find sample research statements with content specific to your discipline, search on the internet for your discipline + “Research Statement.”

• University of Pennsylvania Sample Research Statement
• Advice on writing a Research Statement (Plan) from the journal  Science

• Enhancing Student Success
• Innovative Research
• Alumni Success
• About NC State

How to Construct a Compelling Research Statement

A research statement is a critical document for prospective faculty applicants. This document allows applicants to convey to their future colleagues the importance and impact of their past and, most importantly, future research. You as an applicant should use this document to lay out your planned research for the next few years, making sure to outline how your planned research contributes to your field.

Some general guidelines

(from Carleton University )

An effective research statement accomplishes three key goals:

• It clearly presents your scholarship in nonspecialist terms;
• It places your research in a broader context, scientifically and societally; and
• It lays out a clear road map for future accomplishments in the new setting (the institution to which you’re applying).

Another way to think about the success of your research statement is to consider whether, after reading it, a reader is able to answer these questions:

• What do you do (what are your major accomplishments; what techniques do you use; how have you added to your field)?
• Why is your work important (why should both other scientists and nonscientists care)?
• Where is it going in the future (what are the next steps; how will you carry them out in your new job; does your research plan meet the requirements for tenure at this institution)?

1. Make your statement reader-friendly

A typical faculty application call can easily receive 200+ applicants. As such, you need to make all your application documents reader-friendly. Use headings and subheadings to organize your ideas and leave white space between sections.

In addition, you may want to include figures and diagrams in your research statement that capture key findings or concepts so a reader can quickly determine what you are studying and why it is important. A wall of text in your research statement should be avoided at all costs. Rather, a research statement that is concise and thoughtfully laid out demonstrates to hiring committees that you can organize ideas in a coherent and easy-to-understand manner.

Also, this presentation demonstrates your ability to develop competitive funding applications (see more in next section), which is critical for success in a research-intensive faculty position.

2. Be sure to touch on the fundability of your planned research work

Another goal of your research statement is to make the case for why your planned research is fundable. You may get different opinions here, but I would recommend citing open or planned funding opportunities at federal agencies or other funders that you plan to submit to. You might also use open funding calls as a way to demonstrate that your planned research is in an area receiving funding prioritization by various agencies.

If you are looking for funding, check out this list of funding resources on my personal website. Another great way to look for funding is to use NIH Reporter and NSF award search .

3. Draft the statement and get feedback early and often

I can tell you from personal experience that it takes time to refine a strong research statement. I went on the faculty job market two years in a row and found my second year materials to be much stronger. You need time to read, review and reflect on your statements and documents to really make them stand out.

It is important to have your supervisor and other faculty read and give feedback on your critical application documents and especially your research statement. Also, finding peers to provide feedback and in return giving them feedback on their documents is very helpful. Seek out communities of support such as Future PI Slack to find peer reviewers (and get a lot of great application advice) if needed.

4. Share with nonexperts to assess your writing’s clarity

Additionally, you may want to consider sharing your job materials, including your research statement, with non-experts to assess clarity. For example, NC State’s Professional Development Team offers an Academic Packways: Gearing Up for Faculty program each year where you can get feedback on your application documents from individuals working in a variety of areas. You can also ask classmates and colleagues working in different areas to review your research statement. The more feedback you can receive on your materials through formal or informal means, the better.

5. Tailor your statement to the institution

It is critical in your research statement to mention how you will make use of core facilities or resources at the institution you are applying to. If you need particular research infrastructure to do your work and the institution has it, you should mention that in your statement. Something to the effect of: “The presence of the XXX core facility at YYY University will greatly facilitate my lab’s ability to investigate this important process.”

Mentioning core facilities and resources at the target institution shows you have done your research, which is critical in demonstrating your interest in that institution.

Finally, think about the resources available at the institution you are applying to. If you are applying to a primarily undergraduate-serving institution, you will want to be sure you propose a research program that could reasonably take place with undergraduate students, working mostly in the summer and utilizing core facilities that may be limited or require external collaborations.

Undergraduate-serving institutions will value research projects that meaningfully involve students. Proposing overly ambitious research at a primarily undergraduate institution is a recipe for rejection as the institution will read your application as out of touch … that either you didn’t do the work to research them or that you are applying to them as a “backup” to research-intensive positions.

You should carefully think about how to restructure your research statements if you are applying to both primarily undergraduate-serving and research-intensive institutions. For examples of how I framed my research statement for faculty applications at each type of institution, see my personal website ( undergraduate-serving ; research-intensive research statements).

6. Be yourself, not who you think the search committee wants

In the end, a research statement allows you to think critically about where you see your research going in the future. What are you excited about studying based on your previous work? How will you go about answering the unanswered questions in your field? What agencies and initiatives are funding your type of research? If you develop your research statement from these core questions, your passion and commitment to the work will surely shine through.

A closing thought: Be yourself, not who you think the search committee wants. If you try to frame yourself as someone you really aren’t, you are setting the hiring institution and you up for disappointment. You want a university to hire you because they like you, the work you have done, and the work you want to do, not some filtered or idealized version of you.

So, put your true self out there, and realize you want to find the right institutional fit for you and your research. This all takes time and effort. The earlier you start and the more reflection and feedback you get on your research statement and remaining application documents, the better you can present the true you to potential employers.

More Advice on Faculty Job Application Documents on ImPACKful

How to write a better academic cover letter

Tips on writing an effective teaching statement

More Resources

See here for samples of a variety of application materials from UCSF.

• Rules of the (Social Sciences & Humanities) Research Statement
• CMU’s Writing a Research Statement
• UW’s Academic Careers: Research Statements
• Developing a Winning Research Statement (UCSF)
• Academic Packways
• ImPACKful Tips

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Writing a Research Statement

What is a research statement.

A research statement is a short document that provides a brief history of your past research experience, the current state of your research, and the future work you intend to complete.

The research statement is a common component of a potential student's application for post-undergraduate study. The research statement is often the primary way for departments and faculty to determine if a student's interests and past experience make them a good fit for their program/institution.

Although many programs ask for ‘personal statements,' these are not really meant to be biographies or life stories. What we, at Tufts Psychology, hope to find out is how well your abilities, interests, experiences and goals would fit within our program.

We encourage you to illustrate how your lived experience demonstrates qualities that are critical to success in pursuing a PhD in our program. Earning a PhD in any program is hard! Thus, as you are relaying your past, present, and future research interests, we are interested in learning how your lived experiences showcase the following:

• Perseverance
• Resilience in the face of difficulty
• Motivation to undertake intensive research training
• Involvement in efforts to promote equity and inclusion in your professional and/or personal life
• Unique perspectives that enrich the research questions you ask, the methods you use, and the communities to whom your research applies

How Do I Even Start Writing One?

Before you begin your statement, read as much as possible about our program so you can tailor your statement and convince the admissions committee that you will be a good fit.

Prepare an outline of the topics you want to cover (e.g., professional objectives and personal background) and list supporting material under each main topic. Write a rough draft in which you transform your outline into prose. Set it aside and read it a week later. If it still sounds good, go to the next stage. If not, rewrite it until it sounds right.

Do not feel bad if you do not have a great deal of experience in psychology to write about; no one who is about to graduate from college does. Do explain your relevant experiences (e.g., internships or research projects), but do not try to turn them into events of cosmic proportion. Be honest, sincere, and objective.

What Information Should It Include?

Your research statement should describe your previous experience, how that experience will facilitate your graduate education in our department, and why you are choosing to pursue graduate education in our department. Your goal should be to demonstrate how well you will fit in our program and in a specific laboratory.

Make sure to link your research interests to the expertise and research programs of faculty here. Identify at least one faculty member with whom you would like to work. Make sure that person is accepting graduate students when you apply. Read some of their papers and describe how you think the research could be extended in one or more novel directions. Again, specificity is a good idea.

Make sure to describe your relevant experience (e.g., honors thesis, research assistantship) in specific detail. If you have worked on a research project, discuss that project in detail. Your research statement should describe what you did on the project and how your role impacted your understanding of the research question.

Describe the concrete skills you have acquired prior to graduate school and the skills you hope to acquire.

Articulate why you want to pursue a graduate degree at our institution and with specific faculty in our department.

Make sure to clearly state your core research interests and explain why you think they are scientifically and/or practically important. Again, be specific.

What Should It Look Like?

Your final statement should be succinct. You should be sure to thoroughly read and follow the length and content requirements for each individual application. Finally, stick to the points requested by each program, and avoid lengthy personal or philosophical discussions.

How Do I Know if It is Ready?

Ask for feedback from at least one professor, preferably in the area you are interested in. Feedback from friends and family may also be useful. Many colleges and universities also have writing centers that are able to provide general feedback.

Of course, read and proofread the document multiple times. It is not always easy to be a thoughtful editor of your own work, so don't be afraid to ask for help.

Lastly, consider signing up to take part in the Application Statement Feedback Program . The program provides constructive feedback and editing support for the research statements of applicants to Psychology PhD programs in the United States.

How to Write a Research Statement

• Experimental Psychology

Task #1: Understand the Purpose of the Research Statement

The primary mistake people make when writing a research statement is that they fail to appreciate its purpose. The purpose isn’t simply to list and briefly describe all the projects that you’ve completed, as though you’re a museum docent and your research publications are the exhibits. “Here, we see a pen and watercolor self-portrait of the artist. This painting is the earliest known likeness of the artist. It captures the artist’s melancholic temperament … Next, we see a steel engraving. This engraving has appeared in almost every illustrated publication of Mary Shelley’s Frankenstein and has also appeared as the television studio back-drop for the …”

Similar to touring through a museum, we’ve read through research statements that narrate a researcher’s projects: “My dissertation examined the ways in which preschool-age children’s memory for a novel event was shaped by the verbal dialogue they shared with trained experimenters. The focus was on the important use of what we call elaborative conversational techniques … I have recently launched another project that represents my continued commitment to experimental methods and is yet another extension of the ways in which we can explore the role of conversational engagement during novel events … In addition to my current experimental work, I am also involved in a large-scale collaborative longitudinal project …”

Treating your research statement as though it’s a narrated walk through your vita does let you describe each of your projects (or publications). But the format is boring, and the statement doesn’t tell us much more than if we had the abstracts of each of your papers. Most problematic, treating your research statement as though it’s a narrated walk through your vita misses the primary purpose of the research statement, which is to make a persuasive case about the importance of your completed work and the excitement of your future trajectory.

Writing a persuasive case about your research means setting the stage for why the questions you are investigating are important. Writing a persuasive case about your research means engaging your audience so that they want to learn more about the answers you are discovering. How do you do that? You do that by crafting a coherent story.

Task #2: Tell a Story

Surpass the narrated-vita format and use either an Op-Ed format or a Detective Story format. The Op-Ed format is your basic five-paragraph persuasive essay format:

First paragraph (introduction):

• broad sentence or two introducing your research topic;
• thesis sentence, the position you want to prove (e.g., my research is important); and
• organization sentence that briefly overviews your three bodies of evidence (e.g., my research is important because a, b, and c).

Second, third, and fourth paragraphs (each covering a body of evidence that will prove your position):

• topic sentence (about one body of evidence);
• fact to support claim in topic sentence;
• another fact to support claim in topic sentence;
• another fact to support claim in topic sentence; and
• analysis/transition sentence.

Fifth paragraph (synopsis and conclusion):

• sentence that restates your thesis (e.g., my research is important);
• three sentences that restate your topic sentences from second, third, and fourth paragraph (e.g., my research is important because a, b, and c); and
• analysis/conclusion sentence.

Although the five-paragraph persuasive essay format feels formulaic, it works. It’s used in just about every successful op-ed ever published. And like all good recipes, it can be doubled. Want a 10-paragraph, rather than five-paragraph research statement? Double the amount of each component. Take two paragraphs to introduce the point you’re going to prove. Take two paragraphs to synthesize and conclude. And in the middle, either raise six points of evidence, with a paragraph for each, or take two paragraphs to supply evidence for each of three points. The op-ed format works incredibly well for writing persuasive essays, which is what your research statement should be.

The Detective Story format is more difficult to write, but it’s more enjoyable to read. Whereas the op-ed format works off deductive reasoning, the Detective Story format works off inductive reasoning. The Detective Story does not start with your thesis statement (“hire/retain/promote/ award/honor me because I’m a talented developmental/cognitive/social/clinical/biological/perception psychologist”). Rather, the Detective Story starts with your broad, overarching research question. For example, how do babies learn their native languages? How do we remember autobiographical information? Why do we favor people who are most similar to ourselves? How do we perceive depth? What’s the best way to treat depression? How does the stress we experience every day affect our long-term health?

Because it’s your research statement, you can personalize that overarching question. A great example of a personalized overarching question occurs in the opening paragraph of George Miller’s (1956) article, “The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information.”

My problem is that I have been persecuted by an integer. For seven years this number has followed me around, has intruded in my most private data, and has assaulted me from the pages of our most public journals. This number assumes a variety of disguises, being sometimes a little larger and sometimes a little smaller than usual, but never changing so much as to be unrecognizable. The persistence with which this number plagues me is far more than a random accident. There is, to quote a famous senator, a design behind it, some pattern governing its appearances. Either there really is something unusual about the number or else I am suffering from delusions of persecution. I shall begin my case history by telling you about some experiments that tested how accurately people can assign numbers to the magnitudes of various aspects of a stimulus. …

In case you think the above opening was to a newsletter piece or some other low-visibility outlet, it wasn’t. Those opening paragraphs are from a Psych Review article, which has been cited nearly 16,000 times. Science can be personalized. Another example of using the Detective Story format, which opens with your broad research question and personalizes it, is the opening paragraph of a research statement from a chemist:

I became interested in inorganic chemistry because of one element: Boron. The cage structures and complexity of boron hydrides have fascinated my fellow Boron chemists for more than 40 years — and me for more than a decade. Boron is only one element away from carbon, yet its reactivity is dramatically different. I research why.

When truest to the genre of Detective Story format, the full answer to your introductory question won’t be available until the end of your statement — just like a reader doesn’t know whodunit until the last chapter of a mystery. Along the way, clues to the answer are provided, and false leads are ruled out, which keeps readers turning the pages. In the same way, writing your research statement in the Detective Story format will keep members of the hiring committee, the review committee, and the awards panel reading until the last paragraph.

Task #3: Envision Each Audience

The second mistake people make when writing their research statements is that they write for the specialist, as though they’re talking to another member of their lab. But in most cases, the audience for your research statement won’t be well-informed specialists. Therefore, you need to convey the importance of your work and the contribution of your research without getting bogged down in jargon. Some details are important, but an intelligent reader outside your area of study should be able to understand every word of your research statement.

Because research statements are most often included in academic job applications, tenure and promotion evaluations, and award nominations, we’ll talk about how to envision the audiences for each of these contexts.

Job Applications . Even in the largest department, it’s doubtful that more than a couple of people will know the intricacies of your research area as well as you do. And those two or three people are unlikely to have carte blanche authority on hiring. Rather, in most departments, the decision is made by the entire department. In smaller departments, there’s probably no one else in your research area; that’s why they have a search going on. Therefore, the target audience for your research statement in a job application comprises other psychologists, but not psychologists who study what you study (the way you study it).

Envision this target audience explicitly.Think of one of your fellow graduate students or post docs who’s in another area (e.g., if you’re in developmental, think of your friend in biological). Envision what that person will — and won’t — know about the questions you’re asking in your research, the methods you’re using, the statistics you’re employing, and — most importantly — the jargon that you usually use to describe all of this. Write your research statement so that this graduate student or post doc in another area in psychology will not only understand your research statement, but also find your work interesting and exciting.

Tenure Review . During the tenure review process, your research statement will have two target audiences: members of your department and, if your tenure case receives a positive vote in the department, members of the university at large. For envisioning the first audience, follow the advice given above for writing a research statement for a job application. Think of one of your departmental colleagues in another area (e.g., if you’re in developmental, think of your friend in biological). Write in such a way that the colleague in another area in psychology will understand every word  — and find the work interesting. (This advice also applies to writing research statements for annual reviews, for which the review is conducted in the department and usually by all members of the department.)

For the second stage of the tenure process, when your research statement is read by members of the university at large, you’re going to have to scale it down a notch. (And yes, we are suggesting that you write two different statements: one for your department’s review and one for the university’s review, because the audiences differ. And you should always write with an explicit target audience in mind.) For the audience that comprises the entire university, envision a faculty friend in another department. Think political science or economics or sociology, because your statement will be read by political scientists, economists, and sociologists. It’s an art to hit the perfect pitch of being understood by such a wide range of scholars without being trivial, but it’s achievable.

Award Nominations . Members of award selection committees are unlikely to be specialists in your immediate field. Depending on the award, they might not even be members of your discipline. Find out the typical constitution of the selection committee for each award nomination you submit, and tailor your statement accordingly.

Task #4: Be Succinct

When writing a research statement, many people go on for far too long. Consider three pages a maximum, and aim for two. Use subheadings to help break up the wall of text. You might also embed a well-designed figure or graph, if it will help you make a point. (If so, use wrap-around text, and make sure that your figure has its axes labeled.)

And don’t use those undergraduate tricks of trying to cram more in by reducing the margins or the font size. Undoubtedly, most of the people reading your research statement will be older than you, and we old folks don’t like reading small fonts. It makes us crabby, and that’s the last thing you want us to be when we’re reading your research statement.

Nice piece of information. I will keep in mind while writing my research statement

Thank you so much for your guidance.

HOSSEIN DIVAN-BEIGI

Absolutely agree! I also want to add that: On the one hand it`s easy to write good research personal statement, but on the other hand it`s a little bit difficult to summarize all minds and as result the main idea of the statement could be incomprehensible. It also seems like a challenge for those guys, who aren`t native speakers. That`s why you should prepare carefully for this kind of statement to target your goals.

How do you write an action research topic?? An then stAte the problem an purpose for an action research. Can I get an example on language development?? Please I need some help.

Thankyou I now have idea to come up with the research statement. If I need help I will inform you …

much appreciated

Just like Boote & Beile (2005) explained “Doctors before researchers” because of the importance of the dissertation literature review in research groundwork.

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A research statement is a summary of research achievements and a proposal for upcoming research. It often includes both current aims and findings, and future goals. Research statements are usually requested as part of a relevant job application process, and often assist in the identification of appropriate applicants. Learn more about how to craft an effective research statement.

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How to Write a Research Statement

Last Updated: April 25, 2024 Fact Checked

This article was co-authored by Christopher Taylor, PhD . Christopher Taylor is an Adjunct Assistant Professor of English at Austin Community College in Texas. He received his PhD in English Literature and Medieval Studies from the University of Texas at Austin in 2014. There are 8 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 64,659 times.

The research statement is a very common component of job applications in academia. The statement provides a summary of your research experience, interests, and agenda for reviewers to use to assess your candidacy for a position. Because the research statement introduces you as a researcher to the people reviewing your job application, it’s important to make the statement as impressive as possible. After you’ve planned out what you want to say, all you have to do is write your research statement with the right structure, style, and formatting!

Research Statement Outline and Example

Planning Your Research Statement

• For example, some of the major themes of your research might be slavery and race in the 18th century, the efficacy of cancer treatments, or the reproductive cycles of different species of crab.
• You may have several small questions that guide specific aspects of your research. Write all of these questions out, then see if you can formulate a broader question that encapsulates all of these smaller questions.

• For example, if your work is on x-ray technology, describe how your research has filled any knowledge gaps in your field, as well as how it could be applied to x-ray machines in hospitals.
• It’s important to be able to articulate why your research should matter to people who don’t study what you study to generate interest in your research outside your field. This is very helpful when you go to apply for grants for future research.

• Explain why these are the things you want to research next. Do your best to link your prior research to what you hope to study in the future. This will help give your reviewer a deeper sense of what motivates your research and why it matters.

• For example, if your research was historical and the documents you needed to answer your question didn’t exist, describe how you managed to pursue your research agenda using other types of documents.

• Some skills you might be able to highlight include experience working with digital archives, knowledge of a foreign language, or the ability to work collaboratively. When you're describing your skills, use specific, action-oriented words, rather than just personality traits. For example, you might write "speak Spanish" or "handled digital files."
• Don’t be modest about describing your skills. You want your research statement to impress whoever is reading it.

Structuring and Writing the Statement

• Because this section summarizes the rest of your research statement, you may want to write the executive summary after you’ve written the other sections first.
• Write your executive summary so that if the reviewer chooses to only read this section instead of your whole statement, they will still learn everything they need to know about you as an applicant.
• Make sure that you only include factual information that you can prove or demonstrate. Don't embellish or editorialize your experience to make it seem like it's more than it is.

• If you received a postdoctoral fellowship, describe your postdoc research in this section as well.
• If at all possible, include research in this section that goes beyond just your thesis or dissertation. Your application will be much stronger if reviewers see you as a researcher in a more general sense than as just a student.

• Again, as with the section on your graduate research, be sure to include a description of why this research matters and what relevant skills you bring to bear on it.
• If you’re still in graduate school, you can omit this section.

• Be realistic in describing your future research projects. Don’t describe potential projects or interests that are extremely different from your current projects. If all of your research to this point has been on the American civil war, future research projects in microbiology will sound very farfetched.

• For example, add a sentence that says “Dr. Jameson’s work on the study of slavery in colonial Georgia has served as an inspiration for my own work on slavery in South Carolina. I would welcome the opportunity to be able to collaborate with her on future research projects.”

• For example, if your research focuses on the history of Philadelphia, add a sentence to the paragraph on your future research projects that says, “I believe based on my work that I would be a very strong candidate to receive a Balch Fellowship from the Historical Society of Pennsylvania.”
• If you’ve received funding for your research in the past, mention this as well.

• Typically, your research statement should be about 1-2 pages long if you're applying for a humanities or social sciences position. For a position in psychology or the hard sciences, your research statement may be 3-4 pages long.
• Although you may think that having a longer research statement makes you seem more impressive, it’s more important that the reviewer actually read the statement. If it seems too long, they may just skip it, which will hurt your application.

Formatting and Editing

• For example, instead of saying, “This part of my research was super hard,” say, “I found this obstacle to be particularly challenging.”

• For example, if your research is primarily in anthropology, refrain from using phrases like “Gini coefficient” or “moiety.” Only use phrases that someone in a different field would probably be familiar with, such as “cultural construct,” “egalitarian,” or “social division.”
• If you have trusted friends or colleagues in fields other than your own, ask them to read your statement for you to make sure you don’t use any words or concepts that they can’t understand.

• For example, when describing your dissertation, say, “I hypothesized that…” When describing your future research projects, say, “I intend to…” or “My aim is to research…”

• At the same time, don’t make your font too big. If you write your research statement in a font larger than 12, you run the risk of appearing unprofessional.

• For instance, if you completed a postdoc, use subheadings in the section on previous research experience to delineate the research you did in graduate school and the research you did during your fellowship.

Expert Q&A

You might also like.

• ↑ https://owl.purdue.edu/owl/general_writing/graduate_school_applications/writing_a_research_statement.html
• ↑ https://www.cmu.edu/student-success/other-resources/handouts/comm-supp-pdfs/writing-research-statement.pdf
• ↑ https://postdocs.cornell.edu/research-statement
• ↑ https://gradschool.cornell.edu/academic-progress/pathways-to-success/prepare-for-your-career/take-action/research-statement/
• ↑ https://libguides.usc.edu/writingguide/executivesummary
• ↑ https://www.niu.edu/writingtutorial/style/formal-and-informal-style.shtml
• ↑ https://www.unr.edu/writing-speaking-center/student-resources/writing-speaking-resources/editing-and-proofreading-techniques

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A Practical Guide to Writing Quantitative and Qualitative Research Questions and Hypotheses in Scholarly Articles

Edward barroga.

1 Department of General Education, Graduate School of Nursing Science, St. Luke’s International University, Tokyo, Japan.

Glafera Janet Matanguihan

2 Department of Biological Sciences, Messiah University, Mechanicsburg, PA, USA.

The development of research questions and the subsequent hypotheses are prerequisites to defining the main research purpose and specific objectives of a study. Consequently, these objectives determine the study design and research outcome. The development of research questions is a process based on knowledge of current trends, cutting-edge studies, and technological advances in the research field. Excellent research questions are focused and require a comprehensive literature search and in-depth understanding of the problem being investigated. Initially, research questions may be written as descriptive questions which could be developed into inferential questions. These questions must be specific and concise to provide a clear foundation for developing hypotheses. Hypotheses are more formal predictions about the research outcomes. These specify the possible results that may or may not be expected regarding the relationship between groups. Thus, research questions and hypotheses clarify the main purpose and specific objectives of the study, which in turn dictate the design of the study, its direction, and outcome. Studies developed from good research questions and hypotheses will have trustworthy outcomes with wide-ranging social and health implications.

INTRODUCTION

Scientific research is usually initiated by posing evidenced-based research questions which are then explicitly restated as hypotheses. 1 , 2 The hypotheses provide directions to guide the study, solutions, explanations, and expected results. 3 , 4 Both research questions and hypotheses are essentially formulated based on conventional theories and real-world processes, which allow the inception of novel studies and the ethical testing of ideas. 5 , 6

It is crucial to have knowledge of both quantitative and qualitative research 2 as both types of research involve writing research questions and hypotheses. 7 However, these crucial elements of research are sometimes overlooked; if not overlooked, then framed without the forethought and meticulous attention it needs. Planning and careful consideration are needed when developing quantitative or qualitative research, particularly when conceptualizing research questions and hypotheses. 4

There is a continuing need to support researchers in the creation of innovative research questions and hypotheses, as well as for journal articles that carefully review these elements. 1 When research questions and hypotheses are not carefully thought of, unethical studies and poor outcomes usually ensue. Carefully formulated research questions and hypotheses define well-founded objectives, which in turn determine the appropriate design, course, and outcome of the study. This article then aims to discuss in detail the various aspects of crafting research questions and hypotheses, with the goal of guiding researchers as they develop their own. Examples from the authors and peer-reviewed scientific articles in the healthcare field are provided to illustrate key points.

DEFINITIONS AND RELATIONSHIP OF RESEARCH QUESTIONS AND HYPOTHESES

A research question is what a study aims to answer after data analysis and interpretation. The answer is written in length in the discussion section of the paper. Thus, the research question gives a preview of the different parts and variables of the study meant to address the problem posed in the research question. 1 An excellent research question clarifies the research writing while facilitating understanding of the research topic, objective, scope, and limitations of the study. 5

On the other hand, a research hypothesis is an educated statement of an expected outcome. This statement is based on background research and current knowledge. 8 , 9 The research hypothesis makes a specific prediction about a new phenomenon 10 or a formal statement on the expected relationship between an independent variable and a dependent variable. 3 , 11 It provides a tentative answer to the research question to be tested or explored. 4

Hypotheses employ reasoning to predict a theory-based outcome. 10 These can also be developed from theories by focusing on components of theories that have not yet been observed. 10 The validity of hypotheses is often based on the testability of the prediction made in a reproducible experiment. 8

Conversely, hypotheses can also be rephrased as research questions. Several hypotheses based on existing theories and knowledge may be needed to answer a research question. Developing ethical research questions and hypotheses creates a research design that has logical relationships among variables. These relationships serve as a solid foundation for the conduct of the study. 4 , 11 Haphazardly constructed research questions can result in poorly formulated hypotheses and improper study designs, leading to unreliable results. Thus, the formulations of relevant research questions and verifiable hypotheses are crucial when beginning research. 12

CHARACTERISTICS OF GOOD RESEARCH QUESTIONS AND HYPOTHESES

Excellent research questions are specific and focused. These integrate collective data and observations to confirm or refute the subsequent hypotheses. Well-constructed hypotheses are based on previous reports and verify the research context. These are realistic, in-depth, sufficiently complex, and reproducible. More importantly, these hypotheses can be addressed and tested. 13

There are several characteristics of well-developed hypotheses. Good hypotheses are 1) empirically testable 7 , 10 , 11 , 13 ; 2) backed by preliminary evidence 9 ; 3) testable by ethical research 7 , 9 ; 4) based on original ideas 9 ; 5) have evidenced-based logical reasoning 10 ; and 6) can be predicted. 11 Good hypotheses can infer ethical and positive implications, indicating the presence of a relationship or effect relevant to the research theme. 7 , 11 These are initially developed from a general theory and branch into specific hypotheses by deductive reasoning. In the absence of a theory to base the hypotheses, inductive reasoning based on specific observations or findings form more general hypotheses. 10

TYPES OF RESEARCH QUESTIONS AND HYPOTHESES

Research questions and hypotheses are developed according to the type of research, which can be broadly classified into quantitative and qualitative research. We provide a summary of the types of research questions and hypotheses under quantitative and qualitative research categories in Table 1 .

Research questions in quantitative research

In quantitative research, research questions inquire about the relationships among variables being investigated and are usually framed at the start of the study. These are precise and typically linked to the subject population, dependent and independent variables, and research design. 1 Research questions may also attempt to describe the behavior of a population in relation to one or more variables, or describe the characteristics of variables to be measured ( descriptive research questions ). 1 , 5 , 14 These questions may also aim to discover differences between groups within the context of an outcome variable ( comparative research questions ), 1 , 5 , 14 or elucidate trends and interactions among variables ( relationship research questions ). 1 , 5 We provide examples of descriptive, comparative, and relationship research questions in quantitative research in Table 2 .

Hypotheses in quantitative research

In quantitative research, hypotheses predict the expected relationships among variables. 15 Relationships among variables that can be predicted include 1) between a single dependent variable and a single independent variable ( simple hypothesis ) or 2) between two or more independent and dependent variables ( complex hypothesis ). 4 , 11 Hypotheses may also specify the expected direction to be followed and imply an intellectual commitment to a particular outcome ( directional hypothesis ) 4 . On the other hand, hypotheses may not predict the exact direction and are used in the absence of a theory, or when findings contradict previous studies ( non-directional hypothesis ). 4 In addition, hypotheses can 1) define interdependency between variables ( associative hypothesis ), 4 2) propose an effect on the dependent variable from manipulation of the independent variable ( causal hypothesis ), 4 3) state a negative relationship between two variables ( null hypothesis ), 4 , 11 , 15 4) replace the working hypothesis if rejected ( alternative hypothesis ), 15 explain the relationship of phenomena to possibly generate a theory ( working hypothesis ), 11 5) involve quantifiable variables that can be tested statistically ( statistical hypothesis ), 11 6) or express a relationship whose interlinks can be verified logically ( logical hypothesis ). 11 We provide examples of simple, complex, directional, non-directional, associative, causal, null, alternative, working, statistical, and logical hypotheses in quantitative research, as well as the definition of quantitative hypothesis-testing research in Table 3 .

Research questions in qualitative research

Unlike research questions in quantitative research, research questions in qualitative research are usually continuously reviewed and reformulated. The central question and associated subquestions are stated more than the hypotheses. 15 The central question broadly explores a complex set of factors surrounding the central phenomenon, aiming to present the varied perspectives of participants. 15

There are varied goals for which qualitative research questions are developed. These questions can function in several ways, such as to 1) identify and describe existing conditions ( contextual research question s); 2) describe a phenomenon ( descriptive research questions ); 3) assess the effectiveness of existing methods, protocols, theories, or procedures ( evaluation research questions ); 4) examine a phenomenon or analyze the reasons or relationships between subjects or phenomena ( explanatory research questions ); or 5) focus on unknown aspects of a particular topic ( exploratory research questions ). 5 In addition, some qualitative research questions provide new ideas for the development of theories and actions ( generative research questions ) or advance specific ideologies of a position ( ideological research questions ). 1 Other qualitative research questions may build on a body of existing literature and become working guidelines ( ethnographic research questions ). Research questions may also be broadly stated without specific reference to the existing literature or a typology of questions ( phenomenological research questions ), may be directed towards generating a theory of some process ( grounded theory questions ), or may address a description of the case and the emerging themes ( qualitative case study questions ). 15 We provide examples of contextual, descriptive, evaluation, explanatory, exploratory, generative, ideological, ethnographic, phenomenological, grounded theory, and qualitative case study research questions in qualitative research in Table 4 , and the definition of qualitative hypothesis-generating research in Table 5 .

Qualitative studies usually pose at least one central research question and several subquestions starting with How or What . These research questions use exploratory verbs such as explore or describe . These also focus on one central phenomenon of interest, and may mention the participants and research site. 15

Hypotheses in qualitative research

Hypotheses in qualitative research are stated in the form of a clear statement concerning the problem to be investigated. Unlike in quantitative research where hypotheses are usually developed to be tested, qualitative research can lead to both hypothesis-testing and hypothesis-generating outcomes. 2 When studies require both quantitative and qualitative research questions, this suggests an integrative process between both research methods wherein a single mixed-methods research question can be developed. 1

FRAMEWORKS FOR DEVELOPING RESEARCH QUESTIONS AND HYPOTHESES

Research questions followed by hypotheses should be developed before the start of the study. 1 , 12 , 14 It is crucial to develop feasible research questions on a topic that is interesting to both the researcher and the scientific community. This can be achieved by a meticulous review of previous and current studies to establish a novel topic. Specific areas are subsequently focused on to generate ethical research questions. The relevance of the research questions is evaluated in terms of clarity of the resulting data, specificity of the methodology, objectivity of the outcome, depth of the research, and impact of the study. 1 , 5 These aspects constitute the FINER criteria (i.e., Feasible, Interesting, Novel, Ethical, and Relevant). 1 Clarity and effectiveness are achieved if research questions meet the FINER criteria. In addition to the FINER criteria, Ratan et al. described focus, complexity, novelty, feasibility, and measurability for evaluating the effectiveness of research questions. 14

The PICOT and PEO frameworks are also used when developing research questions. 1 The following elements are addressed in these frameworks, PICOT: P-population/patients/problem, I-intervention or indicator being studied, C-comparison group, O-outcome of interest, and T-timeframe of the study; PEO: P-population being studied, E-exposure to preexisting conditions, and O-outcome of interest. 1 Research questions are also considered good if these meet the “FINERMAPS” framework: Feasible, Interesting, Novel, Ethical, Relevant, Manageable, Appropriate, Potential value/publishable, and Systematic. 14

As we indicated earlier, research questions and hypotheses that are not carefully formulated result in unethical studies or poor outcomes. To illustrate this, we provide some examples of ambiguous research question and hypotheses that result in unclear and weak research objectives in quantitative research ( Table 6 ) 16 and qualitative research ( Table 7 ) 17 , and how to transform these ambiguous research question(s) and hypothesis(es) into clear and good statements.

a These statements were composed for comparison and illustrative purposes only.

b These statements are direct quotes from Higashihara and Horiuchi. 16

a This statement is a direct quote from Shimoda et al. 17

The other statements were composed for comparison and illustrative purposes only.

CONSTRUCTING RESEARCH QUESTIONS AND HYPOTHESES

To construct effective research questions and hypotheses, it is very important to 1) clarify the background and 2) identify the research problem at the outset of the research, within a specific timeframe. 9 Then, 3) review or conduct preliminary research to collect all available knowledge about the possible research questions by studying theories and previous studies. 18 Afterwards, 4) construct research questions to investigate the research problem. Identify variables to be accessed from the research questions 4 and make operational definitions of constructs from the research problem and questions. Thereafter, 5) construct specific deductive or inductive predictions in the form of hypotheses. 4 Finally, 6) state the study aims . This general flow for constructing effective research questions and hypotheses prior to conducting research is shown in Fig. 1 .

Research questions are used more frequently in qualitative research than objectives or hypotheses. 3 These questions seek to discover, understand, explore or describe experiences by asking “What” or “How.” The questions are open-ended to elicit a description rather than to relate variables or compare groups. The questions are continually reviewed, reformulated, and changed during the qualitative study. 3 Research questions are also used more frequently in survey projects than hypotheses in experiments in quantitative research to compare variables and their relationships.

Hypotheses are constructed based on the variables identified and as an if-then statement, following the template, ‘If a specific action is taken, then a certain outcome is expected.’ At this stage, some ideas regarding expectations from the research to be conducted must be drawn. 18 Then, the variables to be manipulated (independent) and influenced (dependent) are defined. 4 Thereafter, the hypothesis is stated and refined, and reproducible data tailored to the hypothesis are identified, collected, and analyzed. 4 The hypotheses must be testable and specific, 18 and should describe the variables and their relationships, the specific group being studied, and the predicted research outcome. 18 Hypotheses construction involves a testable proposition to be deduced from theory, and independent and dependent variables to be separated and measured separately. 3 Therefore, good hypotheses must be based on good research questions constructed at the start of a study or trial. 12

In summary, research questions are constructed after establishing the background of the study. Hypotheses are then developed based on the research questions. Thus, it is crucial to have excellent research questions to generate superior hypotheses. In turn, these would determine the research objectives and the design of the study, and ultimately, the outcome of the research. 12 Algorithms for building research questions and hypotheses are shown in Fig. 2 for quantitative research and in Fig. 3 for qualitative research.

EXAMPLES OF RESEARCH QUESTIONS FROM PUBLISHED ARTICLES

• EXAMPLE 1. Descriptive research question (quantitative research)
• - Presents research variables to be assessed (distinct phenotypes and subphenotypes)
• “BACKGROUND: Since COVID-19 was identified, its clinical and biological heterogeneity has been recognized. Identifying COVID-19 phenotypes might help guide basic, clinical, and translational research efforts.
• RESEARCH QUESTION: Does the clinical spectrum of patients with COVID-19 contain distinct phenotypes and subphenotypes? ” 19
• EXAMPLE 2. Relationship research question (quantitative research)
• - Shows interactions between dependent variable (static postural control) and independent variable (peripheral visual field loss)
• “Background: Integration of visual, vestibular, and proprioceptive sensations contributes to postural control. People with peripheral visual field loss have serious postural instability. However, the directional specificity of postural stability and sensory reweighting caused by gradual peripheral visual field loss remain unclear.
• Research question: What are the effects of peripheral visual field loss on static postural control ?” 20
• EXAMPLE 3. Comparative research question (quantitative research)
• - Clarifies the difference among groups with an outcome variable (patients enrolled in COMPERA with moderate PH or severe PH in COPD) and another group without the outcome variable (patients with idiopathic pulmonary arterial hypertension (IPAH))
• “BACKGROUND: Pulmonary hypertension (PH) in COPD is a poorly investigated clinical condition.
• RESEARCH QUESTION: Which factors determine the outcome of PH in COPD?
• STUDY DESIGN AND METHODS: We analyzed the characteristics and outcome of patients enrolled in the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) with moderate or severe PH in COPD as defined during the 6th PH World Symposium who received medical therapy for PH and compared them with patients with idiopathic pulmonary arterial hypertension (IPAH) .” 21
• EXAMPLE 4. Exploratory research question (qualitative research)
• - Explores areas that have not been fully investigated (perspectives of families and children who receive care in clinic-based child obesity treatment) to have a deeper understanding of the research problem
• “Problem: Interventions for children with obesity lead to only modest improvements in BMI and long-term outcomes, and data are limited on the perspectives of families of children with obesity in clinic-based treatment. This scoping review seeks to answer the question: What is known about the perspectives of families and children who receive care in clinic-based child obesity treatment? This review aims to explore the scope of perspectives reported by families of children with obesity who have received individualized outpatient clinic-based obesity treatment.” 22
• EXAMPLE 5. Relationship research question (quantitative research)
• - Defines interactions between dependent variable (use of ankle strategies) and independent variable (changes in muscle tone)
• “Background: To maintain an upright standing posture against external disturbances, the human body mainly employs two types of postural control strategies: “ankle strategy” and “hip strategy.” While it has been reported that the magnitude of the disturbance alters the use of postural control strategies, it has not been elucidated how the level of muscle tone, one of the crucial parameters of bodily function, determines the use of each strategy. We have previously confirmed using forward dynamics simulations of human musculoskeletal models that an increased muscle tone promotes the use of ankle strategies. The objective of the present study was to experimentally evaluate a hypothesis: an increased muscle tone promotes the use of ankle strategies. Research question: Do changes in the muscle tone affect the use of ankle strategies ?” 23

EXAMPLES OF HYPOTHESES IN PUBLISHED ARTICLES

• EXAMPLE 1. Working hypothesis (quantitative research)
• - A hypothesis that is initially accepted for further research to produce a feasible theory
• “As fever may have benefit in shortening the duration of viral illness, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response when taken during the early stages of COVID-19 illness .” 24
• “In conclusion, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response . The difference in perceived safety of these agents in COVID-19 illness could be related to the more potent efficacy to reduce fever with ibuprofen compared to acetaminophen. Compelling data on the benefit of fever warrant further research and review to determine when to treat or withhold ibuprofen for early stage fever for COVID-19 and other related viral illnesses .” 24
• EXAMPLE 2. Exploratory hypothesis (qualitative research)
• - Explores particular areas deeper to clarify subjective experience and develop a formal hypothesis potentially testable in a future quantitative approach
• “We hypothesized that when thinking about a past experience of help-seeking, a self distancing prompt would cause increased help-seeking intentions and more favorable help-seeking outcome expectations .” 25
• “Conclusion
• Although a priori hypotheses were not supported, further research is warranted as results indicate the potential for using self-distancing approaches to increasing help-seeking among some people with depressive symptomatology.” 25
• EXAMPLE 3. Hypothesis-generating research to establish a framework for hypothesis testing (qualitative research)
• “We hypothesize that compassionate care is beneficial for patients (better outcomes), healthcare systems and payers (lower costs), and healthcare providers (lower burnout). ” 26
• Compassionomics is the branch of knowledge and scientific study of the effects of compassionate healthcare. Our main hypotheses are that compassionate healthcare is beneficial for (1) patients, by improving clinical outcomes, (2) healthcare systems and payers, by supporting financial sustainability, and (3) HCPs, by lowering burnout and promoting resilience and well-being. The purpose of this paper is to establish a scientific framework for testing the hypotheses above . If these hypotheses are confirmed through rigorous research, compassionomics will belong in the science of evidence-based medicine, with major implications for all healthcare domains.” 26
• EXAMPLE 4. Statistical hypothesis (quantitative research)
• - An assumption is made about the relationship among several population characteristics ( gender differences in sociodemographic and clinical characteristics of adults with ADHD ). Validity is tested by statistical experiment or analysis ( chi-square test, Students t-test, and logistic regression analysis)
• “Our research investigated gender differences in sociodemographic and clinical characteristics of adults with ADHD in a Japanese clinical sample. Due to unique Japanese cultural ideals and expectations of women's behavior that are in opposition to ADHD symptoms, we hypothesized that women with ADHD experience more difficulties and present more dysfunctions than men . We tested the following hypotheses: first, women with ADHD have more comorbidities than men with ADHD; second, women with ADHD experience more social hardships than men, such as having less full-time employment and being more likely to be divorced.” 27
• “Statistical Analysis
• ( text omitted ) Between-gender comparisons were made using the chi-squared test for categorical variables and Students t-test for continuous variables…( text omitted ). A logistic regression analysis was performed for employment status, marital status, and comorbidity to evaluate the independent effects of gender on these dependent variables.” 27

EXAMPLES OF HYPOTHESIS AS WRITTEN IN PUBLISHED ARTICLES IN RELATION TO OTHER PARTS

• EXAMPLE 1. Background, hypotheses, and aims are provided
• “Pregnant women need skilled care during pregnancy and childbirth, but that skilled care is often delayed in some countries …( text omitted ). The focused antenatal care (FANC) model of WHO recommends that nurses provide information or counseling to all pregnant women …( text omitted ). Job aids are visual support materials that provide the right kind of information using graphics and words in a simple and yet effective manner. When nurses are not highly trained or have many work details to attend to, these job aids can serve as a content reminder for the nurses and can be used for educating their patients (Jennings, Yebadokpo, Affo, & Agbogbe, 2010) ( text omitted ). Importantly, additional evidence is needed to confirm how job aids can further improve the quality of ANC counseling by health workers in maternal care …( text omitted )” 28
• “ This has led us to hypothesize that the quality of ANC counseling would be better if supported by job aids. Consequently, a better quality of ANC counseling is expected to produce higher levels of awareness concerning the danger signs of pregnancy and a more favorable impression of the caring behavior of nurses .” 28
• “This study aimed to examine the differences in the responses of pregnant women to a job aid-supported intervention during ANC visit in terms of 1) their understanding of the danger signs of pregnancy and 2) their impression of the caring behaviors of nurses to pregnant women in rural Tanzania.” 28
• EXAMPLE 2. Background, hypotheses, and aims are provided
• “We conducted a two-arm randomized controlled trial (RCT) to evaluate and compare changes in salivary cortisol and oxytocin levels of first-time pregnant women between experimental and control groups. The women in the experimental group touched and held an infant for 30 min (experimental intervention protocol), whereas those in the control group watched a DVD movie of an infant (control intervention protocol). The primary outcome was salivary cortisol level and the secondary outcome was salivary oxytocin level.” 29
• “ We hypothesize that at 30 min after touching and holding an infant, the salivary cortisol level will significantly decrease and the salivary oxytocin level will increase in the experimental group compared with the control group .” 29
• EXAMPLE 3. Background, aim, and hypothesis are provided
• “In countries where the maternal mortality ratio remains high, antenatal education to increase Birth Preparedness and Complication Readiness (BPCR) is considered one of the top priorities [1]. BPCR includes birth plans during the antenatal period, such as the birthplace, birth attendant, transportation, health facility for complications, expenses, and birth materials, as well as family coordination to achieve such birth plans. In Tanzania, although increasing, only about half of all pregnant women attend an antenatal clinic more than four times [4]. Moreover, the information provided during antenatal care (ANC) is insufficient. In the resource-poor settings, antenatal group education is a potential approach because of the limited time for individual counseling at antenatal clinics.” 30
• “This study aimed to evaluate an antenatal group education program among pregnant women and their families with respect to birth-preparedness and maternal and infant outcomes in rural villages of Tanzania.” 30
• “ The study hypothesis was if Tanzanian pregnant women and their families received a family-oriented antenatal group education, they would (1) have a higher level of BPCR, (2) attend antenatal clinic four or more times, (3) give birth in a health facility, (4) have less complications of women at birth, and (5) have less complications and deaths of infants than those who did not receive the education .” 30

Research questions and hypotheses are crucial components to any type of research, whether quantitative or qualitative. These questions should be developed at the very beginning of the study. Excellent research questions lead to superior hypotheses, which, like a compass, set the direction of research, and can often determine the successful conduct of the study. Many research studies have floundered because the development of research questions and subsequent hypotheses was not given the thought and meticulous attention needed. The development of research questions and hypotheses is an iterative process based on extensive knowledge of the literature and insightful grasp of the knowledge gap. Focused, concise, and specific research questions provide a strong foundation for constructing hypotheses which serve as formal predictions about the research outcomes. Research questions and hypotheses are crucial elements of research that should not be overlooked. They should be carefully thought of and constructed when planning research. This avoids unethical studies and poor outcomes by defining well-founded objectives that determine the design, course, and outcome of the study.

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

• Conceptualization: Barroga E, Matanguihan GJ.
• Methodology: Barroga E, Matanguihan GJ.
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• Writing - review & editing: Barroga E, Matanguihan GJ.

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The Craft of Writing a Strong Hypothesis

Table of Contents

Writing a hypothesis is one of the essential elements of a scientific research paper. It needs to be to the point, clearly communicating what your research is trying to accomplish. A blurry, drawn-out, or complexly-structured hypothesis can confuse your readers. Or worse, the editor and peer reviewers.

A captivating hypothesis is not too intricate. This blog will take you through the process so that, by the end of it, you have a better idea of how to convey your research paper's intent in just one sentence.

What is a Hypothesis?

The first step in your scientific endeavor, a hypothesis, is a strong, concise statement that forms the basis of your research. It is not the same as a thesis statement , which is a brief summary of your research paper .

The sole purpose of a hypothesis is to predict your paper's findings, data, and conclusion. It comes from a place of curiosity and intuition . When you write a hypothesis, you're essentially making an educated guess based on scientific prejudices and evidence, which is further proven or disproven through the scientific method.

The reason for undertaking research is to observe a specific phenomenon. A hypothesis, therefore, lays out what the said phenomenon is. And it does so through two variables, an independent and dependent variable.

The independent variable is the cause behind the observation, while the dependent variable is the effect of the cause. A good example of this is “mixing red and blue forms purple.” In this hypothesis, mixing red and blue is the independent variable as you're combining the two colors at your own will. The formation of purple is the dependent variable as, in this case, it is conditional to the independent variable.

Different Types of Hypotheses‌

Types of hypotheses

Some would stand by the notion that there are only two types of hypotheses: a Null hypothesis and an Alternative hypothesis. While that may have some truth to it, it would be better to fully distinguish the most common forms as these terms come up so often, which might leave you out of context.

Apart from Null and Alternative, there are Complex, Simple, Directional, Non-Directional, Statistical, and Associative and casual hypotheses. They don't necessarily have to be exclusive, as one hypothesis can tick many boxes, but knowing the distinctions between them will make it easier for you to construct your own.

1. Null hypothesis

A null hypothesis proposes no relationship between two variables. Denoted by H 0 , it is a negative statement like “Attending physiotherapy sessions does not affect athletes' on-field performance.” Here, the author claims physiotherapy sessions have no effect on on-field performances. Even if there is, it's only a coincidence.

2. Alternative hypothesis

Considered to be the opposite of a null hypothesis, an alternative hypothesis is donated as H1 or Ha. It explicitly states that the dependent variable affects the independent variable. A good  alternative hypothesis example is “Attending physiotherapy sessions improves athletes' on-field performance.” or “Water evaporates at 100 °C. ” The alternative hypothesis further branches into directional and non-directional.

• Directional hypothesis: A hypothesis that states the result would be either positive or negative is called directional hypothesis. It accompanies H1 with either the ‘<' or ‘>' sign.
• Non-directional hypothesis: A non-directional hypothesis only claims an effect on the dependent variable. It does not clarify whether the result would be positive or negative. The sign for a non-directional hypothesis is ‘≠.'

3. Simple hypothesis

A simple hypothesis is a statement made to reflect the relation between exactly two variables. One independent and one dependent. Consider the example, “Smoking is a prominent cause of lung cancer." The dependent variable, lung cancer, is dependent on the independent variable, smoking.

4. Complex hypothesis

In contrast to a simple hypothesis, a complex hypothesis implies the relationship between multiple independent and dependent variables. For instance, “Individuals who eat more fruits tend to have higher immunity, lesser cholesterol, and high metabolism.” The independent variable is eating more fruits, while the dependent variables are higher immunity, lesser cholesterol, and high metabolism.

5. Associative and casual hypothesis

Associative and casual hypotheses don't exhibit how many variables there will be. They define the relationship between the variables. In an associative hypothesis, changing any one variable, dependent or independent, affects others. In a casual hypothesis, the independent variable directly affects the dependent.

6. Empirical hypothesis

Also referred to as the working hypothesis, an empirical hypothesis claims a theory's validation via experiments and observation. This way, the statement appears justifiable and different from a wild guess.

Say, the hypothesis is “Women who take iron tablets face a lesser risk of anemia than those who take vitamin B12.” This is an example of an empirical hypothesis where the researcher  the statement after assessing a group of women who take iron tablets and charting the findings.

7. Statistical hypothesis

The point of a statistical hypothesis is to test an already existing hypothesis by studying a population sample. Hypothesis like “44% of the Indian population belong in the age group of 22-27.” leverage evidence to prove or disprove a particular statement.

Characteristics of a Good Hypothesis

Writing a hypothesis is essential as it can make or break your research for you. That includes your chances of getting published in a journal. So when you're designing one, keep an eye out for these pointers:

• A research hypothesis has to be simple yet clear to look justifiable enough.
• It has to be testable — your research would be rendered pointless if too far-fetched into reality or limited by technology.
• It has to be precise about the results —what you are trying to do and achieve through it should come out in your hypothesis.
• A research hypothesis should be self-explanatory, leaving no doubt in the reader's mind.
• If you are developing a relational hypothesis, you need to include the variables and establish an appropriate relationship among them.
• A hypothesis must keep and reflect the scope for further investigations and experiments.

Separating a Hypothesis from a Prediction

Outside of academia, hypothesis and prediction are often used interchangeably. In research writing, this is not only confusing but also incorrect. And although a hypothesis and prediction are guesses at their core, there are many differences between them.

A hypothesis is an educated guess or even a testable prediction validated through research. It aims to analyze the gathered evidence and facts to define a relationship between variables and put forth a logical explanation behind the nature of events.

Predictions are assumptions or expected outcomes made without any backing evidence. They are more fictionally inclined regardless of where they originate from.

For this reason, a hypothesis holds much more weight than a prediction. It sticks to the scientific method rather than pure guesswork. "Planets revolve around the Sun." is an example of a hypothesis as it is previous knowledge and observed trends. Additionally, we can test it through the scientific method.

Whereas "COVID-19 will be eradicated by 2030." is a prediction. Even though it results from past trends, we can't prove or disprove it. So, the only way this gets validated is to wait and watch if COVID-19 cases end by 2030.

Finally, How to Write a Hypothesis

Quick tips on writing a hypothesis

1.  Be clear about your research question

A hypothesis should instantly address the research question or the problem statement. To do so, you need to ask a question. Understand the constraints of your undertaken research topic and then formulate a simple and topic-centric problem. Only after that can you develop a hypothesis and further test for evidence.

2. Carry out a recce

Once you have your research's foundation laid out, it would be best to conduct preliminary research. Go through previous theories, academic papers, data, and experiments before you start curating your research hypothesis. It will give you an idea of your hypothesis's viability or originality.

Making use of references from relevant research papers helps draft a good research hypothesis. SciSpace Discover offers a repository of over 270 million research papers to browse through and gain a deeper understanding of related studies on a particular topic. Additionally, you can use SciSpace Copilot , your AI research assistant, for reading any lengthy research paper and getting a more summarized context of it. A hypothesis can be formed after evaluating many such summarized research papers. Copilot also offers explanations for theories and equations, explains paper in simplified version, allows you to highlight any text in the paper or clip math equations and tables and provides a deeper, clear understanding of what is being said. This can improve the hypothesis by helping you identify potential research gaps.

3. Create a 3-dimensional hypothesis

Variables are an essential part of any reasonable hypothesis. So, identify your independent and dependent variable(s) and form a correlation between them. The ideal way to do this is to write the hypothetical assumption in the ‘if-then' form. If you use this form, make sure that you state the predefined relationship between the variables.

In another way, you can choose to present your hypothesis as a comparison between two variables. Here, you must specify the difference you expect to observe in the results.

4. Write the first draft

Now that everything is in place, it's time to write your hypothesis. For starters, create the first draft. In this version, write what you expect to find from your research.

Clearly separate your independent and dependent variables and the link between them. Don't fixate on syntax at this stage. The goal is to ensure your hypothesis addresses the issue.

5. Proof your hypothesis

After preparing the first draft of your hypothesis, you need to inspect it thoroughly. It should tick all the boxes, like being concise, straightforward, relevant, and accurate. Your final hypothesis has to be well-structured as well.

Research projects are an exciting and crucial part of being a scholar. And once you have your research question, you need a great hypothesis to begin conducting research. Thus, knowing how to write a hypothesis is very important.

Now that you have a firmer grasp on what a good hypothesis constitutes, the different kinds there are, and what process to follow, you will find it much easier to write your hypothesis, which ultimately helps your research.

Now it's easier than ever to streamline your research workflow with SciSpace Discover . Its integrated, comprehensive end-to-end platform for research allows scholars to easily discover, write and publish their research and fosters collaboration.

It includes everything you need, including a repository of over 270 million research papers across disciplines, SEO-optimized summaries and public profiles to show your expertise and experience.

If you found these tips on writing a research hypothesis useful, head over to our blog on Statistical Hypothesis Testing to learn about the top researchers, papers, and institutions in this domain.

Frequently Asked Questions (FAQs)

1. what is the definition of hypothesis.

According to the Oxford dictionary, a hypothesis is defined as “An idea or explanation of something that is based on a few known facts, but that has not yet been proved to be true or correct”.

2. What is an example of hypothesis?

The hypothesis is a statement that proposes a relationship between two or more variables. An example: "If we increase the number of new users who join our platform by 25%, then we will see an increase in revenue."

3. What is an example of null hypothesis?

A null hypothesis is a statement that there is no relationship between two variables. The null hypothesis is written as H0. The null hypothesis states that there is no effect. For example, if you're studying whether or not a particular type of exercise increases strength, your null hypothesis will be "there is no difference in strength between people who exercise and people who don't."

4. What are the types of research?

• Fundamental research

• Applied research

• Qualitative research

• Quantitative research

• Mixed research

• Exploratory research

• Longitudinal research

• Cross-sectional research

• Field research

• Laboratory research

• Fixed research

• Flexible research

• Action research

• Policy research

• Classification research

• Comparative research

• Causal research

• Inductive research

• Deductive research

5. How to write a hypothesis?

• Your hypothesis should be able to predict the relationship and outcome.

• Avoid wordiness by keeping it simple and brief.

• Your hypothesis should contain observable and testable outcomes.

• Your hypothesis should be relevant to the research question.

6. What are the 2 types of hypothesis?

• Null hypotheses are used to test the claim that "there is no difference between two groups of data".

• Alternative hypotheses test the claim that "there is a difference between two data groups".

7. Difference between research question and research hypothesis?

A research question is a broad, open-ended question you will try to answer through your research. A hypothesis is a statement based on prior research or theory that you expect to be true due to your study. Example - Research question: What are the factors that influence the adoption of the new technology? Research hypothesis: There is a positive relationship between age, education and income level with the adoption of the new technology.

8. What is plural for hypothesis?

The plural of hypothesis is hypotheses. Here's an example of how it would be used in a statement, "Numerous well-considered hypotheses are presented in this part, and they are supported by tables and figures that are well-illustrated."

9. What is the red queen hypothesis?

The red queen hypothesis in evolutionary biology states that species must constantly evolve to avoid extinction because if they don't, they will be outcompeted by other species that are evolving. Leigh Van Valen first proposed it in 1973; since then, it has been tested and substantiated many times.

10. Who is known as the father of null hypothesis?

The father of the null hypothesis is Sir Ronald Fisher. He published a paper in 1925 that introduced the concept of null hypothesis testing, and he was also the first to use the term itself.

11. When to reject null hypothesis?

You need to find a significant difference between your two populations to reject the null hypothesis. You can determine that by running statistical tests such as an independent sample t-test or a dependent sample t-test. You should reject the null hypothesis if the p-value is less than 0.05.

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The Research Problem & Statement

What they are & how to write them (with examples)

By: Derek Jansen (MBA) | Expert Reviewed By: Eunice Rautenbach (DTech) | March 2023

If you’re new to academic research, you’re bound to encounter the concept of a “ research problem ” or “ problem statement ” fairly early in your learning journey. Having a good research problem is essential, as it provides a foundation for developing high-quality research, from relatively small research papers to a full-length PhD dissertations and theses.

In this post, we’ll unpack what a research problem is and how it’s related to a problem statement . We’ll also share some examples and provide a step-by-step process you can follow to identify and evaluate study-worthy research problems for your own project.

Overview: Research Problem 101

What is a research problem.

• What is a problem statement?

Where do research problems come from?

• How to find a suitable research problem
• Key takeaways

A research problem is, at the simplest level, the core issue that a study will try to solve or (at least) examine. In other words, it’s an explicit declaration about the problem that your dissertation, thesis or research paper will address. More technically, it identifies the research gap that the study will attempt to fill (more on that later).

Let’s look at an example to make the research problem a little more tangible.

To justify a hypothetical study, you might argue that there’s currently a lack of research regarding the challenges experienced by first-generation college students when writing their dissertations [ PROBLEM ] . As a result, these students struggle to successfully complete their dissertations, leading to higher-than-average dropout rates [ CONSEQUENCE ]. Therefore, your study will aim to address this lack of research – i.e., this research problem [ SOLUTION ].

A research problem can be theoretical in nature, focusing on an area of academic research that is lacking in some way. Alternatively, a research problem can be more applied in nature, focused on finding a practical solution to an established problem within an industry or an organisation. In other words, theoretical research problems are motivated by the desire to grow the overall body of knowledge , while applied research problems are motivated by the need to find practical solutions to current real-world problems (such as the one in the example above).

As you can probably see, the research problem acts as the driving force behind any study , as it directly shapes the research aims, objectives and research questions , as well as the research approach. Therefore, it’s really important to develop a very clearly articulated research problem before you even start your research proposal . A vague research problem will lead to unfocused, potentially conflicting research aims, objectives and research questions .

What is a research problem statement?

As the name suggests, a problem statement (within a research context, at least) is an explicit statement that clearly and concisely articulates the specific research problem your study will address. While your research problem can span over multiple paragraphs, your problem statement should be brief , ideally no longer than one paragraph . Importantly, it must clearly state what the problem is (whether theoretical or practical in nature) and how the study will address it.

Here’s an example of a statement of the problem in a research context:

Rural communities across Ghana lack access to clean water, leading to high rates of waterborne illnesses and infant mortality. Despite this, there is little research investigating the effectiveness of community-led water supply projects within the Ghanaian context. Therefore, this study aims to investigate the effectiveness of such projects in improving access to clean water and reducing rates of waterborne illnesses in these communities.

As you can see, this problem statement clearly and concisely identifies the issue that needs to be addressed (i.e., a lack of research regarding the effectiveness of community-led water supply projects) and the research question that the study aims to answer (i.e., are community-led water supply projects effective in reducing waterborne illnesses?), all within one short paragraph.

Need a helping hand?

Wherever there is a lack of well-established and agreed-upon academic literature , there is an opportunity for research problems to arise, since there is a paucity of (credible) knowledge. In other words, research problems are derived from research gaps . These gaps can arise from various sources, including the emergence of new frontiers or new contexts, as well as disagreements within the existing research.

Let’s look at each of these scenarios:

New frontiers – new technologies, discoveries or breakthroughs can open up entirely new frontiers where there is very little existing research, thereby creating fresh research gaps. For example, as generative AI technology became accessible to the general public in 2023, the full implications and knock-on effects of this were (or perhaps, still are) largely unknown and therefore present multiple avenues for researchers to explore.

New contexts – very often, existing research tends to be concentrated on specific contexts and geographies. Therefore, even within well-studied fields, there is often a lack of research within niche contexts. For example, just because a study finds certain results within a western context doesn’t mean that it would necessarily find the same within an eastern context. If there’s reason to believe that results may vary across these geographies, a potential research gap emerges.

Disagreements – within many areas of existing research, there are (quite naturally) conflicting views between researchers, where each side presents strong points that pull in opposing directions. In such cases, it’s still somewhat uncertain as to which viewpoint (if any) is more accurate. As a result, there is room for further research in an attempt to “settle” the debate.

Of course, many other potential scenarios can give rise to research gaps, and consequently, research problems, but these common ones are a useful starting point. If you’re interested in research gaps, you can learn more here .

How to find a research problem

Given that research problems flow from research gaps , finding a strong research problem for your research project means that you’ll need to first identify a clear research gap. Below, we’ll present a four-step process to help you find and evaluate potential research problems.

If you’ve read our other articles about finding a research topic , you’ll find the process below very familiar as the research problem is the foundation of any study . In other words, finding a research problem is much the same as finding a research topic.

Step 1 – Identify your area of interest

Naturally, the starting point is to first identify a general area of interest . Chances are you already have something in mind, but if not, have a look at past dissertations and theses within your institution to get some inspiration. These present a goldmine of information as they’ll not only give you ideas for your own research, but they’ll also help you see exactly what the norms and expectations are for these types of projects.

At this stage, you don’t need to get super specific. The objective is simply to identify a couple of potential research areas that interest you. For example, if you’re undertaking research as part of a business degree, you may be interested in social media marketing strategies for small businesses, leadership strategies for multinational companies, etc.

Depending on the type of project you’re undertaking, there may also be restrictions or requirements regarding what topic areas you’re allowed to investigate, what type of methodology you can utilise, etc. So, be sure to first familiarise yourself with your institution’s specific requirements and keep these front of mind as you explore potential research ideas.

Step 2 – Review the literature and develop a shortlist

Once you’ve decided on an area that interests you, it’s time to sink your teeth into the literature . In other words, you’ll need to familiarise yourself with the existing research regarding your interest area. Google Scholar is a good starting point for this, as you can simply enter a few keywords and quickly get a feel for what’s out there. Keep an eye out for recent literature reviews and systematic review-type journal articles, as these will provide a good overview of the current state of research.

At this stage, you don’t need to read every journal article from start to finish . A good strategy is to pay attention to the abstract, intro and conclusion , as together these provide a snapshot of the key takeaways. As you work your way through the literature, keep an eye out for what’s missing – in other words, what questions does the current research not answer adequately (or at all)? Importantly, pay attention to the section titled “ further research is needed ”, typically found towards the very end of each journal article. This section will specifically outline potential research gaps that you can explore, based on the current state of knowledge (provided the article you’re looking at is recent).

Take the time to engage with the literature and develop a big-picture understanding of the current state of knowledge. Reviewing the literature takes time and is an iterative process , but it’s an essential part of the research process, so don’t cut corners at this stage.

As you work through the review process, take note of any potential research gaps that are of interest to you. From there, develop a shortlist of potential research gaps (and resultant research problems) – ideally 3 – 5 options that interest you.

Step 3 – Evaluate your potential options

Once you’ve developed your shortlist, you’ll need to evaluate your options to identify a winner. There are many potential evaluation criteria that you can use, but we’ll outline three common ones here: value, practicality and personal appeal.

Value – a good research problem needs to create value when successfully addressed. Ask yourself:

• Who will this study benefit (e.g., practitioners, researchers, academia)?
• How will it benefit them specifically?
• How much will it benefit them?

Practicality – a good research problem needs to be manageable in light of your resources. Ask yourself:

• What data will I need access to?
• What knowledge and skills will I need to undertake the analysis?
• What equipment or software will I need to process and/or analyse the data?
• How much time will I need?
• What costs might I incur?

Personal appeal – a research project is a commitment, so the research problem that you choose needs to be genuinely attractive and interesting to you. Ask yourself:

• How appealing is the prospect of solving this research problem (on a scale of 1 – 10)?
• Why, specifically, is it attractive (or unattractive) to me?
• Does the research align with my longer-term goals (e.g., career goals, educational path, etc)?

Depending on how many potential options you have, you may want to consider creating a spreadsheet where you numerically rate each of the options in terms of these criteria. Remember to also include any criteria specified by your institution . From there, tally up the numbers and pick a winner.

Step 4 – Craft your problem statement

Once you’ve selected your research problem, the final step is to craft a problem statement. Remember, your problem statement needs to be a concise outline of what the core issue is and how your study will address it. Aim to fit this within one paragraph – don’t waffle on. Have a look at the problem statement example we mentioned earlier if you need some inspiration.

Key Takeaways

We’ve covered a lot of ground. Let’s do a quick recap of the key takeaways:

• A research problem is an explanation of the issue that your study will try to solve. This explanation needs to highlight the problem , the consequence and the solution or response.
• A problem statement is a clear and concise summary of the research problem , typically contained within one paragraph.
• Research problems emerge from research gaps , which themselves can emerge from multiple potential sources, including new frontiers, new contexts or disagreements within the existing literature.
• To find a research problem, you need to first identify your area of interest , then review the literature and develop a shortlist, after which you’ll evaluate your options, select a winner and craft a problem statement .

Psst... there’s more!

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

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• Research Process

What is a Problem Statement? [with examples]

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The statement of the problem is one of the first things that a colleague or potential client will read. With the vastness of the information available at one’s fingertips in the online9 world, your work may have just a few seconds to draw in a reader to take a deeper look at your proposal before moving on to the next option. It explains quickly to the reader, the problem at hand, the need for research, and how you intend to do it.

A strong, clear description of the problem that drew you to your research has to be straightforward, easy to read and, most important, relevant. Why do you care about this problem? How can solving this problem impact the world? The problem statement is your opportunity to explain why you care and what you propose to do in the way of researching the problem.

A problem statement is an explanation in research that describes the issue that is in need of study . What problem is the research attempting to address? Having a Problem Statement allows the reader to quickly understand the purpose and intent of the research. The importance of writing your research proposal cannot be stressed enough. Check for more information on Writing a Scientific Research Project Proposal .

It is expected to be brief and concise , and should not include the findings of the research or detailed data . The average length of a research statement is generally about one page . It is going to define the problem, which can be thought of as a gap in the information base. There may be several solutions to this gap or lack of information, but that is not the concern of the problem statement. Its purpose is to summarize the current information and where a lack of knowledge may be presenting a problem that needs to be investigated .

The purpose of the problem statement is to identify the issue that is a concern and focus it in a way that allows it to be studied in a systematic way . It defines the problem and proposes a way to research a solution, or demonstrates why further information is needed in order for a solution to become possible.

What is Included in a Problem Statement?

Besides identifying the gap of understanding or the weakness of necessary data, it is important to explain the significance of this lack.

-How will your research contribute to the existing knowledge base in your field of study?

-How is it significant?

-Why does it matter?

Not all problems have only one solution so demonstrating the need for additional research can also be included in your problem statement. Once you identify the problem and the need for a solution, or for further study, then you can show how you intend to collect the needed data and present it.

How to Write a Statement of Problem in Research Proposal

It is helpful to begin with your goal. What do you see as the achievable goal if the problem you outline is solved? How will the proposed research theoretically change anything? What are the potential outcomes?

Then you can discuss how the problem prevents the ability to reach your realistic and achievable solution. It is what stands in the way of changing an issue for the better. Talk about the present state of affairs and how the problem impacts a person’s life, for example.

It’s helpful at this point to generally layout the present knowledge and understanding of the subject at hand, before then describing the gaps of knowledge that are currently in need of study. Your problem statement is a proposed solution to address one of these gaps.

A good problem statement will also layout the repercussions of leaving the problem as it currently stands. What is the significance of not addressing this problem? What are the possible future outcomes?

Example of Problem Statement in Research Proposal

If, for example , you intended to research the effect of vitamin D supplementation on the immune system , you would begin with a review of the current knowledge of vitamin D’s known function in relation to the immune system and how a deficiency of it impacts a person’s defenses.

You would describe the ideal environment in the body when there is a sufficient level of vitamin D. Then, begin to identify the problems associated with vitamin D deficiency and the difficulty of raising the level through supplementation, along with the consequences of that deficiency. Here you are beginning to identify the problem of a common deficiency and the current difficulty of increasing the level of vitamin D in the blood.

At this stage, you may begin to identify the problem and narrow it down in a way that is practical to a research project. Perhaps you are proposing a novel way of introducing Vitamin D in a way that allows for better absorption by the gut, or in a combination with another product that increases its level in the blood.

Describe the way your research in this area will contribute to the knowledge base on how to increase levels of vitamin D in a specific group of subjects, perhaps menopausal women with breast cancer. The research proposal is then described in practical terms.

How to write a problem statement in research?

Problem statements differ depending on the type and topic of research and vary between a few sentences to a few paragraphs.

However, the problem statement should not drag on needlessly. Despite the absence of a fixed format, a good research problem statement usually consists of three main parts:

Context: This section explains the background for your research. It identifies the problem and describes an ideal scenario that could exist in the absence of the problem. It also includes any past attempts and shortcomings at solving the problem.

Significance: This section defines how the problem prevents the ideal scenario from being achieved, including its negative impacts on the society or field of research. It should include who will be the most affected by a solution to the problem, the relevance of the study that you are proposing, and how it can contribute to the existing body of research.

Solution: This section describes the aim and objectives of your research, and your solution to overcome the problem. Finally, it need not focus on the perfect solution, but rather on addressing a realistic goal to move closer to the ideal scenario.

Here is a cheat sheet to help you with formulating a good problem statement.

1. Begin with a clear indication that the problem statement is going to be discussed next. You can start with a generic sentence like, “The problem that this study addresses…” This will inform your readers of what to expect next.

2. Next, mention the consequences of not solving the problem . You can touch upon who is or will be affected if the problem continues, and how.

3. Conclude with indicating the type of research /information that is needed to solve the problem. Be sure to reference authors who may have suggested the necessity of such research.

This will then directly lead to your proposed research objective and workplan and how that is expected to solve the problem i.e., close the research gap.

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Home » Problem Statement – Writing Guide, Examples and Types

Problem Statement – Writing Guide, Examples and Types

Table of Contents

Problem Statement

Definition:

Problem statement is a clear, concise, and well-defined statement that outlines the issue or challenge that needs to be addressed. It is a crucial element in any project or research as it provides a clear understanding of the problem, its context, and its potential impact.

Types of Problem Statements

There are various types of problem statements, and the type of problem statement used depends on the context and purpose of the project or research. Some common types of problem statements are:

Business Problem Statement

Business Problem Statement identifies a problem or challenge within an organization that needs to be solved. It typically includes the impact of the problem on the organization and its stakeholders, such as customers, employees, or shareholders.

Research Problem Statement

Research Problem Statement outlines the research question or problem that the study aims to address. It describes the research objectives, the significance of the research, and the potential impact of the research findings.

Design Problem Statement

Design Problem Statement defines the problem or challenge that a design project aims to solve. It includes the user’s needs, the design constraints, and the desired outcomes of the design project.

Social Problem Statement

Social Problem Statement describes a problem or challenge in society that needs to be addressed. It typically includes the social, economic, or political impact of the problem and its effect on individuals or communities.

Technical Problem Statement

Technical Problem Statement defines a problem or challenge related to technology or engineering. It includes the technical requirements, constraints, and potential solutions to the problem.

Components of Problem Statement

The components of a problem statement may vary depending on the context and purpose of the project or research, but some common components include:

• Problem description : This component provides a clear and concise description of the problem, its context, and its impact. It should explain what the problem is, who is affected by it, and why it needs to be addressed.
• Background information : This component provides context for the problem by describing the current state of knowledge or practice related to the problem. It may include a review of relevant literature, data, or other sources of information.
• Objectives : This component outlines the specific objectives that the project or research aims to achieve. It should explain what the project or research team hopes to accomplish by addressing the problem.
• Scope : This component defines the boundaries of the problem by specifying what is included and excluded from the problem statement. It should clarify the limits of the project or research and ensure that the team remains focused on the core problem.
• Methodology : This component outlines the approach or methodology that the project or research team will use to address the problem. It may include details about data collection, analysis, or other methods used to achieve the objectives.
• Expected outcomes : This component describes the potential impact or outcomes that the project or research aims to achieve. It should explain how the solution or findings will address the problem and benefit the stakeholders.

How to write Problem Statement

Here are some general steps to follow when writing a problem statement:

• Identify the problem : Clearly identify the problem that needs to be addressed. Consider the context, stakeholders, and potential consequences of the problem.
• Research the problem: Conduct research to gather data and information about the problem. This may involve reviewing literature, analyzing data, or consulting with experts.
• Define the problem: Define the problem clearly and concisely, using specific language and avoiding vague or ambiguous terms. Be sure to include the impact of the problem and the context in which it occurs.
• State the objectives : Clearly state the objectives that the project or research aims to achieve. This should be specific and measurable, with clear outcomes that can be evaluated.
• Identify the scope: Identify the boundaries of the problem, including what is included and excluded from the problem statement. This helps to ensure that the team remains focused on the core problem.
• Outline the methodology : Outline the approach or methodology that the project or research team will use to address the problem. This should be based on research and best practices, and should be feasible and realistic.
• Describe the expected outcomes : Describe the potential impact or outcomes that the project or research aims to achieve. Be specific about how the solution or findings will address the problem and benefit the stakeholders.
• Revise and refine : Review the problem statement and revise it as needed to ensure clarity, accuracy, and completeness.

Applications of Problem Statement

Here are some of the applications of problem statements:

• Research : In academic research, problem statements are used to clearly define the research problem, identify the research question, and justify the need for the study. A well-crafted problem statement is essential for the success of any research project.
• Project management: In project management, problem statements are used to identify the issues or challenges that a project team needs to address. Problem statements help project managers to define project scope, set project goals, and develop project plans.
• Business strategy: In business strategy, problem statements are used to identify business challenges and opportunities. Problem statements help businesses to define their strategic objectives, develop action plans, and allocate resources.
• Product development : In product development, problem statements are used to identify customer needs and develop new products that address those needs. Problem statements help product developers to define product requirements, develop product features, and test product prototypes.
• Policy-making: In public policy-making, problem statements are used to identify social, economic, and environmental issues that require government intervention. Problem statements help policymakers to define policy objectives, develop policy options, and evaluate policy outcomes.

Examples of Problem Statements

Examples of Problem Statements are as follows:

• High student-to-teacher ratios are leading to decreased individualized attention and lower academic achievement.
• Limited funding for extracurricular activities is limiting opportunities for student development and engagement.
• The lack of diversity and inclusion in curriculum is limiting cultural understanding and perpetuating inequalities.
• The need for continuous professional development for teachers is crucial to improving teaching quality and student outcomes.
• Unequal access to education due to socio-economic status, geographical location, or other factors is contributing to disparities in academic achievement.
• The shortage of healthcare professionals is leading to increased patient wait times and decreased quality of care.
• Limited access to mental health services is contributing to the high prevalence of mental health issues and suicides.
• The over-prescription of opioids is contributing to the current opioid epidemic and increasing rates of addiction and overdose.
• Limited access to affordable and nutritious food is leading to poor nutrition and increased rates of chronic diseases.
• The lack of standardized electronic health record systems is limiting coordination of care and leading to medical errors.

Environmental Science

• Pollution from industrial and agricultural practices is contributing to climate change and increased health risks.
• The overexploitation of natural resources is leading to decreased biodiversity and ecological imbalance.
• Limited access to clean water is leading to health issues and affecting agriculture and economic development.
• The destruction of natural habitats is leading to the extinction of many species and disrupting ecosystems.
• Climate change is leading to more frequent and severe natural disasters, causing significant damage to infrastructure and displacement of populations.

Engineering

• The inadequate design and maintenance of bridges and roads is leading to increased accidents and fatalities.
• The lack of reliable and sustainable energy sources is contributing to environmental degradation and limiting economic growth.
• The lack of cybersecurity measures in critical infrastructure is making it vulnerable to cyber attacks and compromising public safety.
• The lack of efficient waste management systems is contributing to pollution and environmental degradation.
• The need for developing technologies that are environmentally friendly and sustainable is crucial to addressing climate change.

Social Work

• The lack of resources for mental health and social services is contributing to homelessness and the need for emergency assistance.
• The high prevalence of child abuse and neglect is leading to long-term physical and emotional harm to children.
• The lack of affordable and accessible childcare is limiting the opportunities for working parents, especially mothers.
• The stigmatization of mental health issues is limiting access to mental health services and perpetuating discrimination.
• The limited access to education, employment, and housing opportunities is contributing to poverty and social inequality.
• The increasing use of ad-blocking software is limiting the effectiveness of traditional digital advertising.
• The lack of transparency in digital advertising is leading to ad fraud and decreased trust in online marketing.
• The need to adapt marketing strategies to changing consumer behaviors and preferences is crucial to reaching target audiences effectively.
• The high competition in the marketplace is making it challenging for small businesses to compete with larger corporations.
• The need to balance marketing goals with ethical considerations is crucial to maintaining consumer trust and avoiding negative publicity.
• The high prevalence of anxiety and depression is leading to decreased productivity and increased healthcare costs.
• The limited access to mental health services in certain geographic areas is limiting access to care and contributing to disparities in mental health outcomes.
• The need for effective prevention and intervention programs for substance abuse and addiction is crucial to reducing rates of addiction and overdose.
• The lack of awareness and understanding of mental health issues is perpetuating stigma and limiting access to care.
• The need for culturally sensitive mental health services that are tailored to the needs of diverse populations is crucial to improving mental health outcomes.

Purpose of Problem Statement

The purpose of a problem statement is to clearly and concisely describe a specific problem or issue that needs to be addressed. It serves as a clear and succinct explanation of the problem, its context, and its importance, providing the necessary information to understand why the problem is worth solving. A well-crafted problem statement also helps to define the scope of the problem, which in turn helps to guide the research or problem-solving process. In essence, a problem statement sets the stage for identifying potential solutions and determining the best approach to solve the problem.

Characteristics of Problem Statement

The characteristics of a good problem statement include:

• Clear and concise : A problem statement should be written in clear and concise language, free of technical jargon, and easily understandable to the intended audience.
• Specific : The statement should clearly define the problem and its scope. It should identify the who, what, where, when, and why of the problem.
• Measurable : A problem statement should be measurable in some way, whether through quantitative or qualitative methods. This allows for objective assessment of progress towards solving the problem.
• Relevant : The problem statement should be relevant to the context in which it is presented. It should relate to the needs and concerns of stakeholders and the broader community.
• Feasible : The problem statement should be realistic and achievable, given the available resources and constraints.
• Innovative: A good problem statement should inspire creative and innovative solutions.
• Actionable : The problem statement should lead to actionable steps that can be taken to address the problem. It should provide a roadmap for moving forward.

Advantages of Problem Statement

Advantages of Problem Statement are as follows:

• Focus : A problem statement helps to clearly define the problem at hand and provides focus to the problem-solving process. It helps to avoid wasting time and resources on issues that are not relevant.
• Alignment : A well-written problem statement ensures that everyone involved in the problem-solving process is on the same page and understands the issue at hand. This alignment helps to ensure that efforts are focused in the right direction and that everyone is working towards the same goal.
• Clarity : A problem statement provides clarity about the nature of the problem and its impact. This clarity helps to facilitate communication and decision-making, making it easier to develop effective solutions.
• Innovation : A well-crafted problem statement can inspire creativity and encourage innovative thinking. By clearly defining the problem, it can help to identify new approaches and solutions that may not have been considered before.
• Measurability : A problem statement that is clear and specific can be used to measure progress and success. It helps to ensure that efforts are focused on addressing the root cause of the problem and that progress towards a solution can be tracked and evaluated.

Limitations of Problem Statement

While problem statements have many advantages, they also have some limitations, such as:

• Limited Scope: A problem statement is usually focused on a specific issue or challenge. As a result, it may not capture the full complexity of a larger problem, which can limit the effectiveness of the solutions developed.
• Lack of Detail : In some cases, problem statements may be too broad or lack sufficient detail, which can make it difficult to develop effective solutions. It’s important to ensure that the problem statement is specific enough to guide the problem-solving process.
• Bias : The way in which a problem statement is written can sometimes reflect the biases or assumptions of the person or group writing it. This can lead to a narrow or incomplete understanding of the problem and limit the effectiveness of the solutions developed.
• Inflexibility : A problem statement may be too rigid or inflexible, which can limit the exploration of alternative solutions. It’s important to keep an open mind and be willing to adapt the problem statement as new information or perspectives emerge.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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What is childhood dementia? And how could new research help?

Head, Childhood Dementia Research Group, Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University

Head, Paediatric Neurodegenerative Diseases Research Group, University of Adelaide

Research Associate, Childhood Dementia Research Group, Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University

Disclosure statement

Kim Hemsley has previously received research funding from Lysogene and Shire Human Genetic Therapies, companies seeking to develop treatments for childhood dementia. Kim Hemsley has received funding from the Australian NHMRC and MRFF in addition to the Sanfilippo Children's Foundation (Australia), Cure Sanfilippo (US), National MPS Society (US), Sanfilippo Foundation Switzerland, Women's and Children's Foundation, Little Heroes Foundation and the SA Government. Kim is a Childhood Dementia Initiative Scientific and Medical Advisory Committee member, a Sanfilippo Children's Foundation (Australia) Scientific Advisory Board member and is currently Chair, Scientific Advisory Board to the National MPS Society (USA). All roles are voluntary.

Nicholas Smith receives institutional research funding from BlueBird Bio, Ultragenyx and Cyclo Therapeutics. He receives consulting fees (under academic institutional contract) from Forge Biologics. All listed companies are biotechnology companies developing therapies including for diseases within the childhood dementia spectrum. He has received funding from the Medical Research Future Fund, Sanfilippo Children’s Foundation and the Women and Children’s Hospital Foundation for research developing therapies for childhood dementia. He is a member of the Scientific and Medical Advisory Board, Childhood Dementia Initiative; Scientific Advisory Board, Sanfilippo Children’s Foundation; Scientific Advisory Board, Batten’s Disease Support and Research Foundation; Rare Finds Foundation Board, and a committee member of the Australian Mitochondrial Disease Medical Network. All are voluntary with no pecuniary interest. He is a consultant neurologist involved in the care of patients with childhood dementia and Chief / Primary Investigator on multiple national / international trials across disorders within the childhood dementia spectrum.

Siti Mubarokah receives funding from Sanfilippo Children’s Foundation, The Little Heroes Foundation and SA Government.

University of Adelaide and Flinders University provide funding as members of The Conversation AU.

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“Childhood” and “dementia” are two words we wish we didn’t have to use together. But sadly, around 1,400 Australian children and young people live with currently untreatable childhood dementia.

Broadly speaking, childhood dementia is caused by any one of more than 100 rare genetic disorders. Although the causes differ from dementia acquired later in life, the progressive nature of the illness is the same.

Half of infants and children diagnosed with childhood dementia will not reach their tenth birthday, and most will die before turning 18 .

Yet this devastating condition has lacked awareness, and importantly, the research attention needed to work towards treatments and a cure.

Read more: Playing a musical instrument or singing in a choir may boost your brain – new study

More about the causes

Most types of childhood dementia are caused by mutations (or mistakes) in our DNA . These mistakes lead to a range of rare genetic disorders, which in turn cause childhood dementia.

Two-thirds of childhood dementia disorders are caused by “ inborn errors of metabolism ”. This means the metabolic pathways involved in the breakdown of carbohydrates, lipids, fatty acids and proteins in the body fail.

As a result, nerve pathways fail to function, neurons (nerve cells that send messages around the body) die, and progressive cognitive decline occurs.

What happens to children with childhood dementia?

Most children initially appear unaffected. But after a period of apparently normal development, children with childhood dementia progressively lose all previously acquired skills and abilities, such as talking, walking, learning, remembering and reasoning.

Childhood dementia also leads to significant changes in behaviour, such as aggression and hyperactivity. Severe sleep disturbance is common and vision and hearing can also be affected. Many children have seizures.

The age when symptoms start can vary, depending partly on the particular genetic disorder causing the dementia, but the average is around two years old . The symptoms are caused by significant, progressive brain damage.

Are there any treatments available?

Childhood dementia treatments currently under evaluation or approved are for a very limited number of disorders, and are only available in some parts of the world. These include gene replacement, gene-modified cell therapy and protein or enzyme replacement therapy . Enzyme replacement therapy is available in Australia for one form of childhood dementia . These therapies attempt to “fix” the problems causing the disease, and have shown promising results.

Other experimental therapies include ones that target faulty protein production or reduce inflammation in the brain.

Read more: 20% of children have developmental delay. What does this mean for them, their families and the NDIS?

Research attention is lacking

Death rates for Australian children with cancer nearly halved between 1997 and 2017 thanks to research that has enabled the development of multiple treatments. But over recent decades, nothing has changed for children with dementia.

In 2017–2023, research for childhood cancer received over four times more funding per patient compared to funding for childhood dementia . This is despite childhood dementia causing a similar number of deaths each year as childhood cancer.

The success for childhood cancer sufferers in recent decades demonstrates how adequately funding medical research can lead to improvements in patient outcomes.

Another bottleneck for childhood dementia patients in Australia is the lack of access to clinical trials. An analysis published in March this year showed that in December 2023, only two clinical trials were recruiting patients with childhood dementia in Australia.

Worldwide however, 54 trials were recruiting, meaning Australian patients and their families are left watching patients in other parts of the world receive potentially lifesaving treatments, with no recourse themselves.

That said, we’ve seen a slowing in the establishment of clinical trials for childhood dementia across the world in recent years.

Read more: Dementia can be predicted more than a decade before diagnosis with these blood proteins

In addition, we know from consultation with families that current care and support systems are not meeting the needs of children with dementia and their families.

New research

Recently, we were awarded new funding for our research on childhood dementia. This will help us continue and expand studies that seek to develop lifesaving treatments.

More broadly, we need to see increased funding in Australia and around the world for research to develop and translate treatments for the broad spectrum of childhood dementia conditions.

Dr Kristina Elvidge, head of research at the Childhood Dementia Initiative , and Megan Maack, director and CEO, contributed to this article.

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How Pew Research Center will report on generations moving forward

Journalists, researchers and the public often look at society through the lens of generation, using terms like Millennial or Gen Z to describe groups of similarly aged people. This approach can help readers see themselves in the data and assess where we are and where we’re headed as a country.

Pew Research Center has been at the forefront of generational research over the years, telling the story of Millennials as they came of age politically and as they moved more firmly into adult life . In recent years, we’ve also been eager to learn about Gen Z as the leading edge of this generation moves into adulthood.

But generational research has become a crowded arena. The field has been flooded with content that’s often sold as research but is more like clickbait or marketing mythology. There’s also been a growing chorus of criticism about generational research and generational labels in particular.

Recently, as we were preparing to embark on a major research project related to Gen Z, we decided to take a step back and consider how we can study generations in a way that aligns with our values of accuracy, rigor and providing a foundation of facts that enriches the public dialogue.

A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations.

We set out on a yearlong process of assessing the landscape of generational research. We spoke with experts from outside Pew Research Center, including those who have been publicly critical of our generational analysis, to get their take on the pros and cons of this type of work. We invested in methodological testing to determine whether we could compare findings from our earlier telephone surveys to the online ones we’re conducting now. And we experimented with higher-level statistical analyses that would allow us to isolate the effect of generation.

What emerged from this process was a set of clear guidelines that will help frame our approach going forward. Many of these are principles we’ve always adhered to , but others will require us to change the way we’ve been doing things in recent years.

Here’s a short overview of how we’ll approach generational research in the future:

We’ll only do generational analysis when we have historical data that allows us to compare generations at similar stages of life. When comparing generations, it’s crucial to control for age. In other words, researchers need to look at each generation or age cohort at a similar point in the life cycle. (“Age cohort” is a fancy way of referring to a group of people who were born around the same time.)

When doing this kind of research, the question isn’t whether young adults today are different from middle-aged or older adults today. The question is whether young adults today are different from young adults at some specific point in the past.

To answer this question, it’s necessary to have data that’s been collected over a considerable amount of time – think decades. Standard surveys don’t allow for this type of analysis. We can look at differences across age groups, but we can’t compare age groups over time.

Another complication is that the surveys we conducted 20 or 30 years ago aren’t usually comparable enough to the surveys we’re doing today. Our earlier surveys were done over the phone, and we’ve since transitioned to our nationally representative online survey panel , the American Trends Panel . Our internal testing showed that on many topics, respondents answer questions differently depending on the way they’re being interviewed. So we can’t use most of our surveys from the late 1980s and early 2000s to compare Gen Z with Millennials and Gen Xers at a similar stage of life.

This means that most generational analysis we do will use datasets that have employed similar methodologies over a long period of time, such as surveys from the U.S. Census Bureau. A good example is our 2020 report on Millennial families , which used census data going back to the late 1960s. The report showed that Millennials are marrying and forming families at a much different pace than the generations that came before them.

Even when we have historical data, we will attempt to control for other factors beyond age in making generational comparisons. If we accept that there are real differences across generations, we’re basically saying that people who were born around the same time share certain attitudes or beliefs – and that their views have been influenced by external forces that uniquely shaped them during their formative years. Those forces may have been social changes, economic circumstances, technological advances or political movements.

When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

The tricky part is isolating those forces from events or circumstances that have affected all age groups, not just one generation. These are often called “period effects.” An example of a period effect is the Watergate scandal, which drove down trust in government among all age groups. Differences in trust across age groups in the wake of Watergate shouldn’t be attributed to the outsize impact that event had on one age group or another, because the change occurred across the board.

Changing demographics also may play a role in patterns that might at first seem like generational differences. We know that the United States has become more racially and ethnically diverse in recent decades, and that race and ethnicity are linked with certain key social and political views. When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

Controlling for these factors can involve complicated statistical analysis that helps determine whether the differences we see across age groups are indeed due to generation or not. This additional step adds rigor to the process. Unfortunately, it’s often absent from current discussions about Gen Z, Millennials and other generations.

When we can’t do generational analysis, we still see value in looking at differences by age and will do so where it makes sense. Age is one of the most common predictors of differences in attitudes and behaviors. And even if age gaps aren’t rooted in generational differences, they can still be illuminating. They help us understand how people across the age spectrum are responding to key trends, technological breakthroughs and historical events.

Each stage of life comes with a unique set of experiences. Young adults are often at the leading edge of changing attitudes on emerging social trends. Take views on same-sex marriage , for example, or attitudes about gender identity .

Many middle-aged adults, in turn, face the challenge of raising children while also providing care and support to their aging parents. And older adults have their own obstacles and opportunities. All of these stories – rooted in the life cycle, not in generations – are important and compelling, and we can tell them by analyzing our surveys at any given point in time.

When we do have the data to study groups of similarly aged people over time, we won’t always default to using the standard generational definitions and labels. While generational labels are simple and catchy, there are other ways to analyze age cohorts. For example, some observers have suggested grouping people by the decade in which they were born. This would create narrower cohorts in which the members may share more in common. People could also be grouped relative to their age during key historical events (such as the Great Recession or the COVID-19 pandemic) or technological innovations (like the invention of the iPhone).

By choosing not to use the standard generational labels when they’re not appropriate, we can avoid reinforcing harmful stereotypes or oversimplifying people’s complex lived experiences.

Existing generational definitions also may be too broad and arbitrary to capture differences that exist among narrower cohorts. A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations. The key is to pick a lens that’s most appropriate for the research question that’s being studied. If we’re looking at political views and how they’ve shifted over time, for example, we might group people together according to the first presidential election in which they were eligible to vote.

With these considerations in mind, our audiences should not expect to see a lot of new research coming out of Pew Research Center that uses the generational lens. We’ll only talk about generations when it adds value, advances important national debates and highlights meaningful societal trends.

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Kim Parker is director of social trends research at Pew Research Center

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April 23, 2024

Related Announcements

• February 3, 2023 - Ruth L. Kirschstein National Research Service Award (NRSA) Stipends, Tuition/Fees and Other Budgetary Levels Effective for Fiscal Year 2023. See Notice NOT-OD-23-076

Agency for Healthcare Research and Quality ( AHRQ ) 

Health Resources and Services Administration ( HRSA )

This Notice supersedes  NOT-OD-23-076  and establishes stipend levels for fiscal year (FY) 2024 Kirschstein-NRSA awards for undergraduate, predoctoral, and postdoctoral trainees and fellows, as shown in the tables below which reflects the Further Consolidated Appropriations Act, 2024 ( Public Law 118-047 ), signed into law on March 23, 2024. NIH is being responsive, as much as possible given the constrained budget environment, to the Advisory Committee to the Director Working Group on Re-Envisioning NIH-Supported Postdoctoral Training report recommendations. In fact, FY 2024 stipend levels for predoctoral and postdoctoral trainees and fellows represents the largest year-over-year increase in recent history. We are committed to reaching the $70,000 recommendation over the next 3-4 years, as appropriations allow.  The Training Related Expenses and Institutional Allowances for predoctoral and postdoctoral trainees and fellows reflect a moderate increase. The Tuition and Fees for all educational levels remain unchanged from the prior budget year. See  NIH Funding Strategies for guidance on current NIH Fiscal Operations.

The budgetary categories described in this Notice apply only to Kirschstein-NRSA awards made with FY 2024 funds. All FY 2024 awards previously issued using  NOT-OD-23-076 will be revised to adjust funding to the FY 2024 levels. Appointments to institutional training grants that have already been awarded in FY 2024 must be amended to reflect the FY 2024 stipend levels once the training grant award has been adjusted by NIH. Amended appointments must be submitted through xTrain in the eRA Commons. Retroactive adjustments or supplementation of stipends or other budgetary categories with Kirschstein-NRSA funds for an award made prior to October 1, 2023, are not permitted.

Stipends Effective with all Kirschstein-NRSA awards made on or after October 1, 2023, the following annual stipend levels apply to all individuals receiving support through institutional research training grants or individual fellowships.

Undergraduates: For institutional training grants supporting undergraduate trainees (T34, TL4), appointments for undergraduate candidates will continue to be made by distinct categories (i.e., Freshmen/Sophomores and Juniors/Seniors), but the stipend levels for the categories will be the same:

Predoctoral Trainees and Fellows: For institutional training grants (T32, T35, T90, TL1) and individual fellowships (F30, F31), one stipend level is used for all predoctoral candidates, regardless of the level of experience.

Postdoctoral Trainees and Fellows: For institutional training grants (T32, T90, TL1) and individual fellowships (F32), the stipend level for the entire first year of support is determined by the number of full years of relevant postdoctoral experience when the award is issued. Relevant experience may include research experience (including industrial), teaching assistantship, internship, residency, clinical duties, or other time spent in a health-related field beyond that of the qualifying doctoral degree. Once the appropriate stipend level has been determined, the trainee or fellow must be paid at that level for the entire grant year. The stipend for each additional year of Kirschstein-NRSA support is the next level in the stipend structure and does not change mid-year.

Senior Fellows (F33 only): The stipend level must be commensurate with the base salary or remuneration that would have been paid by the institution with which the individual is permanently affiliated when the award is issued but cannot exceed the current Kirschstein-NRSA stipend limit set by the NIH for those with 7 or more years of experience. The level of Kirschstein-NRSA support will take into account concurrent salary support provided by the institution and the policy of the sponsoring institution. NIH support does not provide fringe benefits for senior fellows.

Relevant Policies Current stipend levels are to be used in the preparation of future competing and non-competing NRSA institutional training grant and individual fellowship applications. They will be administratively applied to all applications currently in the review process.

NRSA support is limited to 5 years for predoctoral trainees (6 years for dual-degree training), and 3 years for postdoctoral fellows. The NIH provides eight levels of postdoctoral stipends to accommodate individuals who complete other forms of health-related training prior to accepting a Kirschstein-NRSA supported position. (The presence of eight discrete levels of experience, however, does not constitute an endorsement of extended periods of postdoctoral research training).

It should be noted that the maximum amount that NIH will award to support the compensation package for a graduate student research assistant remains at the zero level postdoctoral stipend, as described in  the NIH Grants Policy Statement 2.3.7.9 .

Tuition and Fees, Training Related Expenses, and Institutional Allowance for Kirschstein-NRSA Recipients

The NIH will provide funds for Tuition and Fees, Training Related Expenses, and Institutional Allowance as detailed below.

A. Tuition and Fees

Undergraduate and Predoctoral Trainees and Fellows: For institutional training grants (T32, T34, T35, T90, TL1, TL4) and individual fellowships (F30, F31), an amount per predoctoral trainee or fellow equal to 60% of the actual tuition level at the applicant institution, up to $16,000 per year, will be provided. If the trainee or fellow is enrolled in a program that supports formally combined, dual-degree training (e.g., MD/PhD, DO/PhD, DDS/PhD, AuD/PhD, DVM/PhD), the amount provided per trainee or fellow will be 60% of the actual tuition level, up to $21,000 per year.

Postdoctoral Trainees and Fellows: For institutional training grants (T32, T90, TL1) and individual fellowships (F32, F33), an amount per postdoctoral trainee or fellow equal to 60% of the actual tuition level at the applicant institution, up to $4,500 per year, will be provided. If the trainee or fellow is enrolled in a program that supports postdoctoral individuals in formal degree-granting training, an amount per postdoctoral trainee or fellow equal to 60% of the actual tuition level at the applicant institution, up to $16,000 per year, will be provided.

B. Training Related Expenses on Institutional Training Grants

For institutional training grants (T32, T35, T90, TL1), these expenses (including health insurance costs) for predoctoral and postdoctoral trainees will be paid at the amounts shown below for all competing and non-competing awards made with FY 2024 funds.

• Predoctoral Trainees:  $4,750
• Postdoctoral Trainees:  $12,400

C. Institutional Allowance for Individual Fellows

This allowance for predoctoral and postdoctoral fellows will be paid at the amounts shown below for all competing and non-competing awards made with FY 2024 funds.

Institutional Allowance for individual fellows (F30, F31, F32, F33) sponsored by non-Federal Public, Private, and Non-Profit Institutions (Domestic & Foreign, including health insurance):

• Predoctoral Fellows:  $4,750
• Postdoctoral Fellows:  $12,400

Institutional Allowance for individual fellows (F30, F31, F32, F33) sponsored by Federal and For-Profit Institutions (including health insurance):

• Predoctoral Fellows:  $3,650
• Postdoctoral Fellows:  $11,300

Please direct all inquiries to:

Specific questions concerning this notice or other policies relating to training grants or fellowships should be directed to the grants management office in the appropriate  NIH Institute or Center ,  AHRQ , or  HRSA .

General inquiries concerning NRSA stipend and tuition policies should be directed to:  

NIH Division of Biomedical Research Workforce Office of Extramural Research National Institutes of Health (NIH) Website: https://researchtraining.nih.gov   Email: [email protected]   AHRQ Division of Research Education Office of Extramural Research, Education, and Priority Populations Agency for Healthcare Research and Quality (AHRQ) Email: [email protected]  

HRSA Paul Jung, M.D. Director, Division of Medicine and Dentistry Bureau of Health Workforce Health Resources and Services Administration (HRSA) Email:  [email protected]

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Updates on Highly Pathogenic Avian Influenza (HPAI)

Highly Pathogenic Avian Influenza (HPAI) is a disease that is highly contagious and often deadly in poultry, caused by highly pathogenic avian influenza A (H5) and A (H7) viruses; it is also known as bird or avian flu. HPAI viruses can be transmitted by wild birds to domestic poultry and other bird and animal species. Although bird flu viruses do not normally infect humans, sporadic human infections have occurred. It is important to note that “highly pathogenic” refers to severe impact in birds, not necessarily in humans.

Ongoing Work to Ensure Continued Effectiveness of Federal-State Milk Safety System - April 2024 Update

April 25, 2024

Today, the FDA received some initial results from its nationally representative commercial milk sampling study. The agency continues to analyze this information; however, the initial results show about 1 in 5 of the retail samples tested are quantitative polymerase chain reaction (qPCR)-positive for HPAI viral fragments, with a greater proportion of positive results coming from milk in areas with infected herds. As previously noted and outlined in our summary below, qPCR-positive results do not necessarily represent actual virus that may be a risk to consumers. Additional testing is required to determine whether intact pathogen is still present and if it remains infectious, which would help inform a determination of whether there is any risk of illness associated with consuming the product. The FDA is further assessing any positive findings through egg inoculation tests, a gold-standard for determining if infectious virus is present. Early work by NIH-funded investigators indicates an absence of infectious virus in their studies of retail milk. To date, the retail milk studies have shown no results that would change our assessment that the commercial milk supply is safe. Epidemiological signals from our CDC partners continue to show no uptick of human cases of flu and no cases of H5N1, specifically, beyond the one known case related to direct contact with infected cattle. These important efforts are ongoing, and we are committed to sharing results from both the qPCR and egg inoculation tests as soon as possible.

The U.S. Department of Agriculture (USDA), the U.S. Food and Drug Administration (FDA), and the Centers for Disease Control and Prevention (CDC), along with state partners, continue to investigate an outbreak of highly pathogenic avian influenza (HPAI) virus impacting dairy cows in multiple states. Infection with the virus is causing decreased lactation, low appetite, and other symptoms in affected cattle.

The FDA and USDA have indicated that based on the information currently available, our commercial milk supply is safe because of these two reasons: 1) the pasteurization process and 2) the diversion or destruction of milk from sick cows.

The pasteurization process has served public health well for more than 100 years. Pasteurization is a process that kills harmful bacteria and viruses by heating milk to a specific temperature for a set period of time to make milk safer. Even if virus is detected in raw milk, pasteurization is generally expected to eliminate pathogens to a level that does not pose a risk to consumer health. However, pasteurization is different than complete sterilization; sterilization extends shelf life but is not required to ensure milk safety. While milk is pasteurized, not sterilized, this process has helped ensure the health of the American public for more than 100 years by inactivating infectious agents.

Nearly all (99%) of the commercial milk supply that is produced on dairy farms in the U.S. comes from farms that participate in the Grade “A” milk program and follow the Pasteurized Milk Ordinance (PMO), which includes controls that help ensure the safety of dairy products. Pasteurization and diversion or destruction of milk from sick cows are two important measures that are part of the federal-state milk safety system.

There are a number of collective activities being undertaken to ensure the continued effectiveness of the federal-state milk safety system. In addition to these specific research activities, the FDA is collaborating closely with CDC's food safety group, as well as its surveillance team that’s monitoring emergency department data and flu testing data for any unusual trends in flu-like illness, flu, or conjunctivitis. To date, surveillance systems do not show any unusual trends or activity.

As noted by USDA and some press reports from the World Health Organization (WHO) and other sources, the presence of the virus has been detected in raw milk. Based on available information, pasteurization is likely to inactivate the virus, however the process is not expected to remove the presence of viral particles. Therefore, some of the samples collected have indicated the presence of HPAI using quantitative polymerase chain reaction (qPCR) testing.

During the course of the outbreak, the FDA has been evaluating milk from affected animals, in the processing system, and on the shelves. We are completing a large representative national sample, to better understand the extent of these findings. Because qPCR findings do not represent actual virus that may be a risk to consumers, the FDA is further assessing any positive findings through egg inoculation tests, a gold-standard for determining viable virus. To date, we have seen nothing that would change our assessment that the commercial milk supply is safe. Results from multiple studies will be made available in the next few days to weeks.

Sound science is critical to informing public health decisions like those made by the FDA related to food safety and we take this current situation and the safety of the milk supply very seriously. We recognize the importance of releasing further, actionable information.

Review of Available Data

Given that the detection of H5N1 in dairy cows is a novel and evolving situation, no studies on the effects of pasteurization on HPAI viruses (such as H5N1) in bovine milk have previously been completed although considerable scientific literature is available that has informed our current understanding.

The established pasteurization process set forth in the PMO provides specific times and temperature requirements[ i ] for effective pasteurization of known pathogens in the milk supply. Data from previous studies[ ii , iii ], that serve as the underpinnings of the FDA’s current milk supply safety assessment show that pasteurization is very likely to effectively inactivate heat-sensitive viruses, like H5N1, in milk from cows and other species. Additionally, data[ iv , v , vi ] shows thermal inactivation of HPAI (H5N1) has been successful during the pasteurization process for eggs, which occurs at lower temperatures than what is used for milk.

Ongoing Research

U.S. government partners have been working with deliberate speed on a wide range of studies looking at milk along all stages of production -- on the farm, during processing and on shelves -- using well- established methodologies used previously to confirm pasteurization effectiveness for known pathogens.

This work is a top priority, and we are proceeding in an efficient, methodical, and scientific fashion to ensure the continued effectiveness and safety of the federal-state milk safety system.

Laboratory benchtop tests are the first part of this ongoing work. This includes testing laboratory generated samples inoculated with high levels of a recently isolated and closely related avian flu virus and samples of raw, unpasteurized milk directly from cows in affected herds with and without symptoms to understand how, and at what levels, heat treatment (pasteurization) inactivates the virus.

While this information is important, this testing alone cannot provide a complete picture as these samples are not representative of what we would expect to see in the real-world from milk routed to pasteurization and processing for commercial use.

In addition to lab testing, a critical step in the scientific confirmation process includes testing of milk that is representative of real-world scenarios in which milk is typically pooled in large amounts from numerous healthy cows from numerous farms before pasteurizing and processing.

Work is underway to test samples of milk in systems that represent current industry practices using the range of temperature and time combinations that are used in pasteurization processes.

Additional analysis is underway of milk on store shelves across the country in addition to work to evaluate any potential differentiation for various types of dairy products (e.g., whole milk, cream).

We are aware that universities or other entities are conducting work in this area, particularly universities and consortia supported by the National Institutes of Health. We look forward to reviewing all results generated from various scientific studies, testing methods and the product(s) used as we continue assessing all the data and information available. We are committed to collaborating with the broad community to come to sound scientific conclusions regarding this situation -- which it’s important to understand takes time.

Data Considerations

Multiple tests are used to assess the safety of food items. Understanding how and why different methodologies are used and work, as well as how results fit into the larger picture, is critical to interpret any findings.

• Quantitative polymerase chain reaction (qPCR) is a screening tool used to determine the presence or absence of an organism’s genetic material in a sample. A positive qPCR means that the genetic material from the targeted pathogen was detected in the sample, but that does not mean that the sample contains an intact, infectious pathogen. That’s because qPCR tests will also detect the residual genetic material from pathogens killed by heat, like pasteurization, or other food safety treatments. Importantly, additional testing is required to determine whether intact pathogen is still present and if it remains infectious, which determines whether there is any risk of illness associated with consuming the product.
• Embryonated Egg Viability Studies are considered the “gold standard” for sensitive detection of active, infectious virus. These studies are one of the types of additional tests necessary following PCR testing. These studies are done by injecting an embryonated chicken egg with a sample and then evaluating to see whether any active virus replicates. While this provides the most sensitive results, it takes a longer time to complete than other methods.
• Madin-Darby Canine Kidney (MDCK) Cell Culture is different type of additional test used following PCR testing to detect live, infectious virus. This is done by injecting a sample into specific tissue cells to determine whether any live virus is present and replicates. This method can usually be done more quickly than embryonated egg viability studies, but it is not as sensitive and may provide false negative results when the amount of virus in the sample is very low.

Precautions for Raw Milk

The FDA has a long-standing recommendation to consumers not to consume raw milk (milk that has not been pasteurized). Because of the limited information available about the possible transmission of H5N1 virus via raw milk, the FDA continues to recommend that industry does not manufacture or sell raw milk or raw milk products, including raw milk cheese, made with milk from cows showing symptoms of illness, including those infected with avian influenza viruses or exposed to those infected with avian influenza viruses.

Importantly, the FDA has also recommended producers take precautions when discarding milk from affected cows so that the discarded milk does not become a source of further spread. Producers should consult with their state regulatory authorities for specific recommendations or requirements; however, such precautions should include heat treatment, pasteurization or its equivalent, of discarded milk prior to dumping in lagoons or application of waste solids and ensuring biosecurity around lagoons (e.g., ensuring that animals and birds do not have access to lagoons). Any raw milk or raw milk products from exposed cattle that are fed to calves (or to other animals, such as farm cats) should be heat treated or pasteurized.

The PMO and pasteurization continue to provide important measures to assure milk safety. Given this is the first time we have seen this virus affect cows, these are the first studies that have been initiated to look at the effectiveness of pasteurization on HPAI viruses such as H5N1 in bovine milk.

As previously noted, the FDA is collaborating closely with CDC's food safety group, as well as its surveillance team that’s monitoring emergency department data and flu testing data for any unusual trends in flu-like illness, flu, or conjunctivitis. To date, surveillance systems do not show any unusual trends or activity. Only one associated human case from a person exposed to infected cows has been linked with this outbreak in dairy cows to date and CDC says risk to the general public remains low.

The FDA and USDA are working closely to collect and evaluate additional data and information specific to H5N1 in dairy cattle and to support state counterparts as this emerging disease in dairy cattle is managed. These important efforts are ongoing, and we are committed to sharing results as soon as possible. In the meantime, the FDA and USDA continue to indicate that based on the information we currently have, our commercial milk supply is safe.

Additional Resources

• Questions and Answers Regarding the Safety of Eggs During Highly Pathogenic Avian Influenza Outbreaks
• Questions and Answers Regarding Milk Safety During Highly Pathogenic Avian Influenza (HPAI) Outbreaks

i. 21 CFR part 131 -- milk and cream. (n.d.). https://www.ecfr.gov/current/title-21/chapter-I/subchapter-B/part-131

ii. Pitino, M. A., O’Connor, D. L., McGeer, A. J., & Unger, S. (2021). The impact of thermal pasteurization on viral load and detectable live viruses in human milk and other matrices: a rapid review. Applied Physiology Nutrition and Metabolism, 46(1), 10–26. https://doi.org/10.1139/apnm-2020-0388

iii. Jay, J. M., Loessner, M. J., Golden, D. A., & Keller, H. B. (2005). Food Protection with High Temperatures. In Modern Food Microbiology (pp. 415–441). https://link.springer.com/chapter/10.1007/0-387-23413-6_17

iv. Chmielewski, R. A., Beck, J. R., & Swayne, D. E. (2011). Thermal inactivation of avian influenza virus and Newcastle disease virus in a fat-free egg product. Journal of Food Protection, 74(7), 1161–1169. https://doi.org/10.4315/0362-028x.jfp-10-415 https://doi.org/10.4315/0362-028x.jfp-10-415

v. Chmielewski, R. A., Beck, J. R., & Swayne, D. E. (2013). Evaluation of the U.S. Department of Agriculture’s egg pasteurization processes on the inactivation of high-pathogenicity avian influenza virus and velogenic Newcastle disease virus in processed egg products. Journal of Food Protection, 76(4), 640–645. https://doi.org/10.4315/0362-028x.jfp-12-369

vi. Chmielewski, R. A., Beck, J. R., Juneja, V. K., & Swayne, D. E. (2013). Inactivation of low pathogenicity notifiable avian influenza virus and lentogenic Newcastle disease virus following pasteurization in liquid egg products. Lebensmittel-Wissenschaft Und Technologie [Food Science and Technology], 52(1), 27–30. https://doi.org/10.1016/j.lwt.2013.01.002

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Global military spending surges amid war, rising tensions and insecurity

(Stockholm, 22 April 2024) Total global military expenditure reached $2443 billion in 2023, an increase of 6.8 per cent in real terms from 2022. This was the steepest year-on-year increase since 2009. The 10 largest spenders in 2023—led by the United States, China and Russia—all increased their military spending, according to new data on global military spending published today by the Stockholm International Peace Research Institute (SIPRI), available at  www.sipri.org . 

Read this press release in Catalan ( PDF ), French ( PDF ), Spanish ( PDF ) or Swedish ( PDF ).

Click here to download the SIPRI Fact Sheet.

Military expenditure increases in all regions

World military expenditure rose for the ninth consecutive year to an all-time high of $2443 billion. For the first time since 2009, military expenditure went up in all five of the geographical regions defined by SIPRI, with particularly large increases recorded in Europe, Asia and Oceania and the Middle East. 

‘ The unprecedented rise in military spending is a direct response to the global deterioration in peace and security,’ said Nan Tian, Senior Researcher with SIPRI’s Military Expenditure and Arms Production Programme. ‘States are prioritizing military strength but they risk an action–reaction spiral in the increasingly volatile geopolitical and security landscape.’

Military aid to Ukraine narrows spending gap with Russia 

Russia ’s military spending increased by 24 per cent to an estimated $109 billion in 2023, marking a 57 per cent rise since 2014, the year that Russia annexed Crimea. In 2023 Russia’s military spending made up 16 per cent of total government spending and its military burden (military spending as a share of gross domestic product, GDP) was 5.9 per cent. 

Ukraine was the eighth largest spender in 2023, after a spending surge of 51 per cent to reach $64.8 billion. This gave Ukraine a military burden of 37 per cent and represented 58 per cent of total government spending.

Ukraine’s military spending in 2023 was 59 per cent the size of Russia’s. However, Ukraine also received at least $35 billion in military aid during the year, including $25.4 billion from the USA. Combined, this aid and Ukraine’s own military spending were equivalent to about 91 per cent of Russian spending.

USA remains NATO’s major spender but European members increase share

In 2023 the 31 NATO members accounted for $1341 billion, equal to 55 per cent of the world’s military expenditure. Military spending by the USA rose by 2.3 per cent to reach $916 billion in 2023, representing 68 per cent of total NATO military spending. In 2023 most European NATO members increased their military expenditure. Their combined share of the NATO total was 28 per cent, the highest in a decade. The remaining 4 per cent came from Canada and Türkiye .

‘For European NATO states, the past two years of war in Ukraine have fundamentally changed the security outlook,’ said  Lorenzo Scarazzato, Researcher with SIPRI’s Military Expenditure and Arms Production Programme.  ‘This shift in threat perceptions is reflected in growing shares of GDP being directed towards military spending, with the NATO target of 2 per cent increasingly being seen as a baseline rather than a threshold to reach.’

A decade after NATO members formally committed to a target of spending 2 per cent of GDP on the military, 11 out of 31 NATO members met or surpassed this level in 2023 —the highest number since the commitment was made.  Another target — of directing at least 20 per cent of military spending to ‘equipment spending’ — was met by 28 NATO members in 2023, up from 7 in 2014.

China’s rising military expenditure drives up spending by neighbours

China , the world’s second largest military spender, allocated an estimated $296 billion to the military in 2023, an increase of 6.0 per cent from 2022. This was the 29th consecutive year-on-year rise in China’s military expenditure. China accounted for half of total military spending across the Asia and Oceania region. Several of China’s neighbours have linked their own spending increases to China’s rising military expenditure. 

Japan allocated $50.2 billion to its military in 2023, which was 11 per cent more than in 2022.  Taiwan ’s military expenditure also grew by 11 per cent in 2023, reaching $16.6 billion.

‘China is directing much of its growing military budget to boost the combat readiness of the People’s Liberation Army,’ said Xiao Liang, Researcher with SIPRI’s Military Expenditure and Arms Production Programme. ‘This has prompted the governments of Japan, Taiwan and others to significantly build up their military capabilities, a trend that will accelerate further in the coming years.’

War and tensions in the Middle East fuel biggest spending increase of past decade

Estimated military expenditure in the Middle East increased by 9.0 per cent to $200 billion in 2023. This was the highest annual growth rate in the region seen in the past decade. 

Israel ’s military spending—the second largest in the region after Saudi Arabia —grew by 24 per cent to reach $27.5 billion in 2023. The spending increase was mainly driven by Israel’s large-scale offensive in Gaza in response to the attack on southern Israel by Hamas in October 2023. 

‘The large increase in military spending in the Middle East in 2023 reflected the rapidly shifting situation in the region—from the warming of diplomatic relations between Israel and several Arab countries in recent years to the outbreak of a major war in Gaza and fears of a region-wide conflict,’ said Diego Lopes da Silva, Senior Researcher with SIPRI’s Military Expenditure and Arms Production Programme. 

Military action against organized crime pushes up spending in Central America and the Caribbean

Military spending in Central America and the Caribbean in 2023 was 54 per cent higher than in 2014. Escalating crime levels have led to the increased use of military forces against criminal gangs in several countries in the subregion.

Military spending by the Dominican Republic  rose by 14 per cent in 2023 in response to worsening gang violence in neighbouring Haiti. The Dominican Republic’s military spending has risen steeply since 2021, when the assassination of Haitian President Jovenel Moïse threw Haiti into crisis.

In Mexico , military expenditure reached $11.8 billion in 2023, a 55 per cent increase from 2014 (but a 1.5 per cent decrease from 2022). Allocations to the Guardia Nacional (National Guard)—a militarized force used to curb criminal activity—rose from 0.7 per cent of Mexico’s total military expenditure in 2019, when the force was created, to 11 per cent in 2023.

‘The use of the military to suppress gang violence has been a growing trend in the region for years as governments are either unable to address the problem using conventional means or prefer immediate—often more violent—responses,’ said Diego Lopes da Silva, Senior Researcher with SIPRI’s Military Expenditure and Arms Production Programme.

Other notable developments

• India was the fourth largest military spender globally in 2023. At $83.6 billion, its military expenditure was 4.2 per cent higher than in 2022.
• The largest percentage increase in military spending by any country in 2023 was seen in the Democratic Republic of the Congo (+105 per cent), where there has been protracted conflict between the government and non-state armed groups. South Sudan recorded the second largest percentage increase (+78 per cent) amid internal violence and spillover from the Sudanese civil war.
• Poland ’s military spending, the 14th highest in the world, was $31.6 billion after growing by 75 per cent between 2022 and 2023—by far the largest annual increase by any European country.
• In 2023 Brazil ’s military spending increased by 3.1 per cent to $22.9 billion. Citing the NATO spending guideline, members of Brazil’s Congress submitted a constitutional amendment to the Senate in 2023 that aims to increase Brazil’s military burden to an annual minimum of 2 per cent of GDP (up from 1.1 per cent in 2023).
• Algeria ’s military spending grew by 76 per cent to reach $18.3 billion. This was the highest level of expenditure ever recorded by Algeria and was largely due to a sharp rise in revenue from gas exports to countries in Europe as they moved away from Russian supplies.
• Iran was the fourth largest military spender in the Middle East in 2023 with $10.3 billion. According to available data, the share of military spending allocated to the Islamic Revolutionary Guard Corps grew from 27 per cent to 37 per cent between 2019 and 2023.

For editors

SIPRI monitors developments in military expenditure worldwide and maintains the most comprehensive, consistent and extensive publicly available data source on military expenditure. The annual update of the SIPRI Military Expenditure Database is accessible from today at  www.sipri.org .

All percentage changes are expressed in real terms (constant 2022 prices). Military expenditure refers to all government spending on current military forces and activities, including salaries and benefits, operational expenses, arms and equipment purchases, military construction, research and development, and central administration, command and support. SIPRI therefore discourages the use of terms such as ‘arms spending’ when referring to military expenditure, as spending on armaments is usually only a minority of the total.

Media contacts

For information or interview requests contact Mimmi Shen ( [email protected] , +46 766 286 133) or Stephanie Blenckner ( [email protected] , +46 8 655 97 47).