i work in research

How to become a researcher

Is becoming a researcher right for me.

The first step to choosing a career is to make sure you are actually willing to commit to pursuing the career. You don’t want to waste your time doing something you don’t want to do. If you’re new here, you should read about:

Still unsure if becoming a researcher is the right career path? Take the free CareerExplorer career test to find out if this career is right for you. Perhaps you are well-suited to become a researcher or another similar career!

Described by our users as being “shockingly accurate”, you might discover careers you haven’t thought of before.

How to become a Researcher

Becoming a researcher typically requires a combination of education, training, and experience. Here is a detailed guide on how to become a researcher:

• Choose a field: The first step in becoming a researcher is to choose a field of study. This can include areas such as science, social sciences, humanities, or business.
• Get a Bachelor's Degree: Most researchers have at least a bachelor's degree in their chosen field. During undergraduate studies, students should focus on taking courses that align with their research interests and develop skills such as critical thinking, data analysis, and research methods.
• Pursue Graduate Studies: A graduate degree is often required to become a researcher. Depending on the field, a master's degree or Ph.D. may be necessary. Graduate programs typically involve coursework, research, and the development of a thesis or dissertation.
• Gain Research Experience: Research experience is critical in becoming a researcher. Students can gain experience by working as research assistants, participating in internships, or volunteering in research projects. This can provide valuable hands-on experience and help build a professional network.
• Develop Research Skills: Researchers need a wide range of skills, including critical thinking, data analysis, and communication skills. It is important to develop these skills by taking courses, attending workshops, and participating in research projects.
• Build a Professional Network: Networking is crucial in the field of research. Attend conferences, seminars, and other events to meet other researchers and build relationships. This can also help with finding research opportunities.
• Apply for Research Jobs: Once the necessary education and experience have been gained, it is time to start applying for research jobs. Look for positions in academic institutions, government agencies, non-profit organizations, and private companies.
• Publish Research: Publishing research is an important part of being a researcher. This involves writing up research findings and submitting them to academic journals or presenting them at conferences.
• Continue Professional Development: Researchers must keep up with the latest developments in their field. This involves continuing education, attending conferences, and networking with other professionals.

Associations There are many associations and organizations for researchers that offer networking opportunities, professional development resources, and other benefits. Here are just a few examples of associations for researchers:

• American Association for the Advancement of Science (AAAS): The AAAS is the world's largest multidisciplinary scientific society, with a mission to advance science and serve society through initiatives in science policy, education, and public engagement. The organization offers a range of resources and benefits for researchers, including access to scientific journals, career development resources, and networking opportunities.
• Association for Computing Machinery (ACM): The ACM is a professional organization for computer scientists and researchers. The organization offers conferences, publications, and other resources to support research in the field of computing.
• American Psychological Association (APA): The APA is a professional organization for psychologists and researchers in psychology. The organization offers publications, conferences, and other resources to support research in the field.
• Society for Neuroscience (SfN): The SfN is a professional organization for researchers in neuroscience. The organization offers conferences, publications, and other resources to support research in the field.
• Association for Research in Vision and Ophthalmology (ARVO): The ARVO is a professional organization for researchers in vision and ophthalmology. The organization offers conferences, publications, and other resources to support research in the field.
• Society for Industrial and Organizational Psychology (SIOP): The SIOP is a professional organization for researchers in industrial and organizational psychology. The organization offers conferences, publications, and other resources to support research in the field.

Online Resources There are many online resources available for researchers that can help them stay up-to-date with the latest research, find funding opportunities, collaborate with other researchers, and more. Here are some examples of online resources for researchers:

• Google Scholar: Google Scholar is a free search engine that provides access to scholarly literature, including articles, theses, books, and conference papers. Researchers can use Google Scholar to find relevant research articles and track citations of their own work.
• ResearchGate: ResearchGate is a social networking site for researchers that allows them to connect with other researchers, share research, and ask and answer questions. Researchers can use ResearchGate to collaborate with other researchers and get feedback on their work.
• PubMed: PubMed is a free search engine for biomedical literature, including articles, books, and conference papers. Researchers can use PubMed to find relevant research articles in the field of medicine and health.
• arXiv: arXiv is an online archive of preprints in the fields of physics, mathematics, computer science, quantitative biology, and statistics. Researchers can use arXiv to share their work before it is published in a peer-reviewed journal.
• GrantForward: GrantForward is a database of funding opportunities for researchers in all fields. Researchers can use GrantForward to search for funding opportunities and set up alerts for new opportunities in their field.
• Open Science Framework (OSF): OSF is an online platform for managing and sharing research. Researchers can use OSF to manage their data, collaborate with others, and share their work openly.

• Bipolar Disorder
• Therapy Center
• When To See a Therapist
• Types of Therapy
• Best Online Therapy
• Best Couples Therapy
• Best Family Therapy
• Managing Stress
• Sleep and Dreaming
• Understanding Emotions
• Self-Improvement
• Healthy Relationships
• Student Resources
• Personality Types
• Guided Meditations
• Verywell Mind Insights
• 2023 Verywell Mind 25
• Mental Health in the Classroom
• Editorial Process
• Meet Our Review Board
• Crisis Support

How to Become a Research Psychologist

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Emily is a board-certified science editor who has worked with top digital publishing brands like Voices for Biodiversity, Study.com, GoodTherapy, Vox, and Verywell.

Why Become a Research Psychologist

What do research psychologists do, where do research psychologists work, research psychology careers.

What do you do if you love psychology but have no interest in working in mental health? Fortunately, psychology is a very diverse field, and there are plenty of opportunities. One that you might consider is becoming a research psychologist.

Consider the following question from a reader:

" I love psychology, which is why I'm currently working on my bachelor's degree in psychology. I don't want to work in mental health, so my ultimate plan is to become a researcher. While I know that this means I will probably need to go to graduate school, I'm not quite sure exactly where to begin. What type of psychology degree do I need if I want to work in research?"

At a Glance

What do you do if you love psychology but don't want to become a therapist or work in mental health? You might consider becoming a research psychologist. These professionals conduct research and may work in various settings, including universities, research labs, the military, government agencies, and private businesses.

This scenario is not at all uncommon in psychology. Many students love the subject, yet are not at all interested in working in mental health settings. Experimental fields are great options for people who are fascinated by psychology and enjoy performing research.

As a psychology student , you've probably already gotten a taste of just how diverse the field can be. This can be a great thing because it allows for so many different career paths and options, but it can also be confusing for students as they struggle to select an educational path.

Just like many other areas of psychology , becoming a research psychologist is not a "one size fits all" career. There are actually many different degrees that you could potentially pursue.

Start by taking into account what type of research you want to perform and what specific topics interest you the most.

In order to decide if this field is right for you, it is important to first understand exactly what these professionals do:

• Also known as experimental psychologists , research psychologists study a broad range of human and animal behavior.
• They design and conduct experiments exploring how people act, think, behave, interact, learn, feel, and perform under different conditions.
• They also design studies and evaluate research for flaws and bias.
• This can encompass an enormous range of topics, including memory , attention, cognition, decision-making, perception, and just about any psychological topic you can think of!

If you enjoy research and still want to work in mental health, there are also mental health professionals who perform research and conduct studies in clinical settings.

Educational backgrounds and requirements for experimental psychologists can vary depending upon where you want to work.

In most cases, you will start by earning a bachelor's degree in psychology. Some students may then choose to earn a master's, but many will go on to receive a doctorate degree.

Bachelor's Degree

Many students interested in becoming research psychologists begin with a bachelor's in psychology . However, some come from a background in a related area such as social work or even from an entirely unrelated degree area altogether.

Remember, it is possible to switch to psychology for graduate school , even if your undergraduate degree is in an unrelated subject.

Master's Degree

In some cases, students might then choose to pursue a master's degree in experimental psychology. However, it is important to note that job opportunities are generally more limited with a master's degree, which is why many opt to instead go on to earn a doctorate degree in psychology .

Doctorate Degree

While you might think you are limited to earning a PhD in experimental psychology, there are actually many different options that you might opt to pursue.

For example, if you are interested in studying the human brain, you might earn a degree focused on neuropsychology. Have an active interest in social behavior? Then, you might want to consider a doctorate in social psychology .

How to Get Started

While you might not be exactly sure about what specialty you want to pursue, you can now do plenty of things to prepare for your future as a research psychologist . Start by taking as many undergraduate courses in research methods , statistics , and experimental design as possible.

Sign up for research opportunities through your school's psychology department and consider signing up as a research assistant. It's a great way to gain valuable experience while earning college credits.

As you can see, research is something that plays a significant role in virtually every field of psychology . Your goal now is to determine which particular specialty area interests you the most and exactly where you might want to work someday.

Research psychologists are employed in a wide range of sectors, including private research firms, universities, corporations, the military, and government agencies.

So what kind of jobs will you be able to get as a research psychologist? While there are many different options, a few that you might consider include:

College Professor

Many research psychologists work at colleges and universities, teaching undergraduate and graduate students and conducting research.

Research Analyst

A research analyst evaluates data that has been collected. This career involves performing statistical analyses and managing data to ensure it is collected, recorded, and analyzed properly.

Research Scientist

A research scientist conducted grant-funded research. They are often the lead investigators of a study and are responsible for hiring assistants, managing projects, designing experiments, writing journal articles, and sharing the results of their experiments.

If you enjoy research and aren't interested in working in the field of mental health, a career as a research psychologist might be a great choice for you. To enter this field, you should focus on earning an undergraduate degree in psychology before going to graduate school to get your doctorate. Taking coursework in statistics and research methodology can help, but you should also take advantage of any opportunity to participate in research.

Bishop DV. The psychology of experimental psychologists: Overcoming cognitive constraints to improve research: The 47th Sir Frederic Bartlett Lecture .  Q J Exp Psychol (Hove) . 2020;73(1):1-19. doi:10.1177/1747021819886519

Smith KV, Thew GR. Conducting research in clinical psychology practice: Barriers, facilitators, and recommendations .  Br J Clin Psychol . 2017;56(3):347-356. doi:10.1111/bjc.12142

Scholtz SE, de Klerk W, de Beer LT. The use of research methods in psychological research: A systematised review .  Front Res Metr Anal . 2020;5:1. doi:10.3389/frma.2020.00001

American Psychological Association.  Pursuing a Career in Experimental Psychology . Updated March 2014.

The Princeton Review.  Experimental Psychology .

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

• Skip to content
• Skip to footer
• Accessibility options

• Business and employers
• Alumni and supporters
• For students

• Postgraduate research degrees
• Our postgraduate research disciplines
• Apply for a PhD
• Funding and studentships
• International
• Support and training
• Research Masters
• Postgraduate info session
• Can I be a researcher?

Can I be a researcher? Advice and overview on how to become a researcher in the UK.

Research offers a diverse, rewarding and inspiring career. It welcomes people from all walks of life. There is no 'type', or background or innate talent. The skills required can all be patiently learnt and it's never too late.

Can I pursue a research career?

You can aim to be a research professional in an academic context, working for example in a university. Or you can work within industries that employ researchers, whether that be medical research, clinical research, or the work of political institutions or museums.

Please enable targeting cookies in order to view this video content on our website, or you can watch the video on YouTube .

Will I need a PhD to become a researcher?

The answer depends on what type of research you wish to do. There are research positions that do not require advanced study, but these are likely to be either as a research assistant or in roles that are tracking down things that are already known to exist. For example there are openings for parliamentary researchers, media researchers, and other careers where the research element is not 'cutting-edge' but offers progress to more involved roles.

Research that is cutting-edge, which furthers a national or international knowledge base, will require further study or experience beyond your undergraduate/bachelor's degree. This is what universities usually mean by a research career . Researchers of this kind typically work to build new knowledge either through experiment or critical intervention. It also means sharing that knowledge in meaningful ways.

The most common journey is through taking a research degree, the highest level of which is the doctoral degree or doctorate, often referred to as PhD (Doctor of Philosophy). It takes you through intensive and focused learning. During your studies you will begin to create new knowledge, insights that can be accepted by others because of rigorous methodology and pertinent reference to established thinking.

Start your journey! Explore PhD study at the University of Brighton. 

How can I explore a career path to academia in the UK?

Beyond these qualifications there are multiple pathways into becoming a professional researcher. These include building experience to develop a CV, taking on work experience while studying and showing your suitability across a developing network.

Research professionals get their permanent roles often from junior positions in the department or area they are researching in, for example by getting to know a department through occasional teaching and being ready to take the opportunities that come. The first stop if you're already at university will be the Careers Centre or Careers Office.

Some research degrees include partnerships with industry or some level of sponsorship from sectors that employ research professionals. Alternatively the subject of the research may be of interest to a professional sector with in-roads through that to a career.

Does a PhD qualification lead to becoming a university researcher or research scientist?

For many research roles in university or industry, you will be expected to complete a doctoral degree, also known as a doctorate or PhD. (Depending on your university or specialism these may have other names such as DPhil or EdD) In traditional disciplines across sciences, social sciences and humanities, the doctorate is invariably a necessity for application: 'Completed or about to complete a doctorate' is a standard phrase in a job search for academic research jobs.

For universities offering a wider number of applied disciplines (subjects that have strong professional, industry or 'real-world' connections), it is possible that in-the-field experience is a principal requirement and doctoral study can be undertaken during employment in the faculty. This may be the case in, for example, practice artistic and design disciplines, healthcare disciplines, practice media and journalism and even some of the industrial sciences, all of which depend on skills gained in the field and require a strong working knowledge of 'real-world' practices. Even here though, the landscape has changed in recent times and graduates from doctoral degree programmes, those with a PhD, are likely to have an advantage in the eyes of an employer.

The educational system does respond well to this. Universities offer programmes that help foster the valuable knowledge that people bring from industry into university employment and which can then be recycled into teaching and academic research papers and journals.

These universities may offer doctoral qualification in, for example, Arts and Creative Practice , Engineering , Nursing and Sports Science  or Sports Cultures , all of which welcome those who bring significant professional experience to their studies. Research degrees in these disciplines may develop insights already gained in professional practice, may draw on key skills from work and may allow students to analyse their own work or that of a closely related field. Studying towards this qualification may then provide a bridge into a career as a researcher. Formal research experience is often unnecessary.

Of course nothing is guaranteed. Universities want to train the next generation of researchers. However, despite a mission to do this and to bring a diversity of voices and backgrounds into research work, the institutions may still seem daunting places and people may be discouraged from applying.

Post-doctoral chemistry researcher Dr Wulan Koagouw in University of Brighton laboratory with students.

Diverse research and inclusive practices. Research from diverse points of view - including yours.

Research has to be diverse to be valuable. Truths about the world emerge when different points of view come together in debate and find synthesis. For this to happen, research has to be inclusive , has to include all possible options. It has to be diverse, examining the full range of options and drawing on the experiences that a wide range of people can bring.

Research from the full variety of backgrounds, interests and points of view are not only welcomed but are vital to the credibility of the research produced by institutions, whether industrial or academic.

Research through surveys has aimed to understand where there are barriers (real or perceived) to people becoming research students, especially where this has hinged on background, ethnicity, or on knowledge of and engagement with institutions.

This forms part of a set of measures dedicated to breaking down barriers and encouraging an increasingly wide diversity of people to consider PhD study and aim to become researchers.

Universities all hope to welcome approaches for postgraduate study whether students are currently studying for bachelor's degree or master's degree, or are taking an interest from outside current formal study.

Fin d out more about the diversity of research and researchers taking PhD doctoral research degrees at the University of Brighton and the opportunities to join them.

What stops people choosing to become postgraduate research students?

Despite their well-meaning efforts, surveys show that institutions have often struggled to provide the right information at the right time. They may fail to inspire undergraduate or A-level curiosity as to where knowledge is created, developed and from where it is disseminated. Traditional undergraduate degrees may be presented as the end of the road in education, or simply adequate preparation for a job directly after. Even to their own undergraduates, universities may fail to provide timely information about the application process or the potential benefits of undertaking postgraduate study.

At the same time, negative perceptions may be fostered regarding the scholarly environment. A student may not always feel they are able to become a research professional or student. Higher level study can appear daunting, especially for those without role models from within the family or those who do not see themselves reflected in the role models at the institution.

In research conducted at the University of Brighton into PhD applicant diversity, simple awareness of the existence of postgraduate study prior to joining a university proved very low in some sectors. This proved especially so for students in the 'post-92' universities (like the University of Brighton, former technical colleges, art or education colleges and polytechnics), institutions which attract many students for industry-relevant disciplines; research in these areas - engineering, computing, graphic design, nursing, journalism and so on - may take a non-traditional form and could be more hidden to students despite the dual roles of most teaching staff.

The application process can remain mysterious. PhD applications are different from those experienced for undergraduate degrees and different from job applications, about which information is more common and more actively sought. There are fewer people to share what may seem 'insider knowledge' to those interested in becoming higher-level students. Technologies behind application systems can be less sophisticated due to the smaller numbers of expected interest, while few undergraduates will immediately recognise the fundamental importance of individual supervisors' expertise and enthusiasm.

Even where interested students find an advisor and may work towards the processes they need to complete, there seem to be entrenched difficulties in perception of capability. Research shows that students at post-92 universities are likely to feel discouraged from applying to what are perceived as high-performing departments, universities or disciplines. Higher levels of perceived prestige may develop through research-intensity, historic notions of specialisms and traditional academic disciplines, all of which can create a barrier to applications from the full breadth of scholarly backgrounds.

Universities in the UK are striving to break down all these perceived barriers and to promote diversity in the student numbers at PhD level: diversity of educational background and opportunity, also diversity of age and professional background, as well as representatives of the full wealth of life experiences. It is this diversity of representation that makes the finished research more valuable.

Find out more about funding to help fulfil your postgraduate ambitions.

Are enough applications coming from a diversity of ethnic backgrounds?

The University of Brighton has conducted statistical research recognising the particular barriers to some ethnic groups engaging with opportunities for advanced study and research careers. Awareness was shown to be low, affected by perceptions of welcome and belonging. In this recent research, up to a third of minority ethnic undergraduate students were discovered to be unaware of the option to take a research degree even towards the completion of their UG course. Also, effective, visible role models were strongly perceived to be a problem in creating an atmosphere of welcome and acceptance for people of more diverse backgrounds. 

(Film still) Postgraduate PhD students gather for a group photograph at the University of Brighton Doctoral College's Postgraduate Research Festival.

Do PhDs give transferrable skills for the workplace?

Obtaining more knowledge about the job options available from postgraduate study has been highlighted in research on PhD applicant decision-making. Summer research internships were flagged as potentially helpful to this and, given a major barrier is the awareness of the process itself, students believe they need a mentor to guide them through the application.

Students who might consider research degrees were also found to be uncertain as to the wider benefits of postgraduate study. In fact, PhD programmes don't just lead to research careers. They promote the range of higher employability skill sets and exposure to experiential learning.

Although universities promote what they know best - careers in academia and generating research outputs - postgraduate research students can aspire to other types of work, including those that do not relate to expert subject matter. They will improve or learn new skills that employers may want. Vital transferable skills include data management, decision-making, collaborative practices, communication skills, analytical thinking and an innovative approach.

Design historian Dr Leah Armstrong researching in the University of Brighton Design Archives during her doctoral studies. 

What's it like to be a researcher? What responsibility will an employer offer?

As an academic or industrial researcher you will be an expert in your field and will be responsible for developing and disseminating knowledge. Researchers may work as part of a team or individually.

While there is no type, just as there is no particular background expected, research professionals of all kinds tend to be very passionate about their projects. Dedication to your subject, the development of it and the communication of your successes is an essential motivation for a research professional.

It requires patience and attention to detail. The discoveries made are often small and, at least at first, only appreciated by a small number of people. On the other hand, research professionals often work in supportive, enthusiastic teams, especially in science and social science. Where research is a more solitary pursuit - typical of the arts and humanities -there are plentiful networks to get involved with and to help build your scholarly community.

For those who find a 'USP project' early in their career, ideally as they are taking their PhD degree, there are significant opportunities to branch beyond the library and laboratory and higher education. Collaboration with wider publics and industries is welcomed and a strong topic, backed by expertise and up-to-date evolution of the ideas may prove in demand in ways that make a research professional a valuable person in many fields.

Further information on PhD study 

For more information on  research careers and a research degree  at the University of Brighton see our  webpages for PhD student applications and funding opportunities  or  contact the Doctoral College.

The article makes reference to the research published as, ' Barriers to pursing postgraduate research study among final year undergraduate minority ethnic students at a post-1992 UK university ' by Professor Bhavik Patel, Ramy Badrie and Joanna MacDonnell.

PhD students at work in the University of Brighton's Advanced Engineering Centre.

Working in Research: Job Search and Opportunities

• Post author By Emma Holland
• Post date April 30, 2019
• No Comments on Working in Research: Job Search and Opportunities

Working in research is an academician’s dream. It is one of the best things they can do if they prefer the school setting and the academic setting. Constantly studying and discovering things is one of the great dreams of people that like to learn and comprehend . There are a lot of people that haven’t gone through the rigorous training needed to become a professional researcher, but they are perhaps considering going into it, and they know they love the classroom. These people should be encouraged by their parents to go into a teaching career where they can research to their heart’s content.

One of the main things that people do when they work in research is contribute to the findings of other researchers that have worked before them. There are a lot of people that are merely hangers-on to the people before them that have made great leaps and bounds. And, they have probably stood on the shoulders of giants. This is a continuance of the tradition of researchers before them, and it is an important and amazing career for people that really like to study and learn.

There is a lot of satisfaction and reward in a teaching career. It enriches their character, and it is interesting and challenging at the same time. There are so many people that go into it for the money, but it is a great career path for people that really want to learn. It is an important avenue for people that like the idea of making a fortune in learning and teaching.

Research is to see what everybody else has seen, and to think what nobody else has thought. Albert Szent-Gyorgyi 

In order to really get hired for a position in research, you need to have a doctorate in some position. That means that you need a Master’s Degree, and then you need a PhD. Once you get these two degrees, then you can get hired for a position where you can research in your spare time at the teaching institution where you work. This is one of the most fun ways for an academician to get paid for doing his research. They are paid to contribute scholarly articles. It is a great and interesting adventure.

• Tags academican , degree , job , research , research position , researcher , university

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Assistant Professor / Lecturer
• PhD Candidate
• Senior Researcher / Group Leader
• Researcher / Analyst
• Research Assistant / Technician
• Administration
• Executive / Senior Industry Position
• Mid-Level Industry Position
• Junior Industry Position
• Graduate / Traineeship
• Practitioner / Consultant
• Summer Schools
• Online Courses
• Professional Training
• Supplementary Courses
• All Courses
• PhD Programs
• Master's Programs
• MBA Programs
• Bachelor's Programs
• All Programs
• Remote/Hybrid Jobs
• Online Programs
• Online/Hybrid Conferences
• Fellowships
• Postgraduate Scholarships
• Undergraduate Scholarships
• Prizes & Contests
• Financial Aid
• Research/Project Funding
• Other Funding
• All Scholarships
• Conferences
• Exhibitions / Fairs
• All Conferences
• Economics Terms A-Z
• Career Advice
• Study Advice
• Work Abroad
• Study Abroad
• Campus Reviews
• Recruiter Advice
• University / College
• Graduate / Business School
• Research Institute
• Bank / Central Bank
• Private Company / Industry
• Consulting / Legal Firm
• Association / NGO
• All EconDirectory
• 📖 INOMICS Handbook

All Categories

All disciplines.

• Scholarships
• All Economics Terms A-Z
• EconDirectory
• All 📖 INOMICS Handbook

Weighing Up the Options

The pros and cons of a career in research.

Read a summary or generate practice questions using the INOMICS AI tool

Soon after the completion of a Master's degree or PhD , everybody is faced with the big question: what next? Although it may seem like a natural progression to continue with further research, there are many other careers open to academics in business, education, communications and journalism, to name but a few examples.

So how do you know if research is the right career choice for you? Well, like with most big decisions, a good way of figuring it out is to weigh the pros and cons of an academic career.

Travel and relocation

One big difference between a career in research and most other fields is the expectation of relocation. The first step for a Master's student or PhD who wants a career in research is to find a position at a university in a town, city or country where they are willing to relocate. It is typical for researchers to move to a new city or country every few years, particularly when pursuing postdoc positions. This is the natural consequence of there not being very many jobs to go around.

Pro: Moving around does have its advantages - it is a unique opportunity to travel to new places and experience life in different countries and cultures. One can meet new people and obtain contacts, both of which are extremely rewarding.

Furthermore, moving offers the valuable experience of working at various institutions, which can give insight into how cultures vary across universities. Being part of an institution like a university provides you a pre-existing network to explore, both professionally and socially, which can make settling down in a new region or country a whole lot easier.

Con: Arranging an international relocation is a lot of work, and it can be hard to make new friends and create a social circle in a new city. Moreover, relocating can be stressful on the mind, causing some to struggle, so having adequate support for a move is essential.

Particularly for those with families, relocation may be demanding for other reasons- your partner may also need a job in your new city and new schools need to be found for children, which can be a challenge. If your partner is also in research, some institutions offer dual career programs which help find research positions for both members of a couple.

Independence and interest

Pro: One great advantage of a career in research is how interesting the work is, and the independence one is afforded. If you are able to secure third-party funding, you can organize your own working schedule and priorities, and choose the topics of research which are of most pressing interest to you.

Within many research institutions there is also the possibility of flexible working hours, which can be especially advantageous to those with young children.

Security and career prospects

Con: One particularly difficult aspect of a research career is the lack of job security. Postdocs are typically employed on short-term contracts for two years, and at the end of this period they must find another position. For the ambitious and determined researcher, this can be an opportunity for fast career progression and the chance to work in a variety of labs.

However, this insecurity can be a source of stress for many researchers as there is no guarantee of long-term stable employment. Progressing from a postdoctoral position to a professorship can be extremely competitive, and the number of professor positions can be reduced due to budget cuts, so in tough times there will be even fewer openings available.

Overall, many more PhDs and postdocs are working than there are professorships available, so you must be extremely determined to follow this path.

Transferable skills

Pro: Although the competition for academic positions is so fierce that a career in research may seem risky, in fact the skills one acquires in the performance of research can be transferred to many other fields. Critical thinking skills are highly developed in researchers.

Besides these, researchers may acquire expertise in mathematics or statistics, in written communication, or in poster and oral presentation. All of these skills can be put to use in other jobs, so if a research position is not available, then you still have other career options open to you.

Whether a career in academia is for you or not will depend entirely on your own levels of determination and persistence, along with weighing the pros against the cons of research. In the end, only you can make the choice - but keep in mind the various advantages and disadvantages of going down this particular career path.

Currently trending in United States

• Posted 7 months ago

Call for Papers: International SOEP User Conference, July 4-5, 2024 in Berlin (Germany)

• Supplementary Course
• Posted 4 years ago

The History of Economic Thought

• Professional Training Course

Introduction to Python

Related items.

Scholarships and Tuition Fee Waivers for PhD in Economics

Publish A Summary of Your Economics Research on INOMICS

Call for Expression of Interest for positions at the Institute of Economics, Sant'Anna School (Pisa, Italy)

Featured announcements, ecomod school of modeling and data science - prague, czech republic…, bse competition economics executive courses.

• scholarship

Research Funding from the National Bank of Slovakia

Call for application to the phd in economics 2024-25, prüfer*innen für die bankenaufsicht, phd program in economics, upcoming deadlines.

• Apr 23, 2024 Doktorand/in (w/m/d) im Kompetenzbereich "Arbeitsmärkte, Bildung, Bevölkerung" (100 %, TV-L 13)
• Apr 25, 2024 Postdoctoral Researcher (part-time) in Economics and Global Health
• Apr 28, 2024 Full Professorship Economics, in particular Macroeconomics (W2/W3)
• Apr 28, 2024 Prüfer*innen für die Bankenaufsicht
• Apr 30, 2024 Global School in Empirical Research Methods GSERM at the University of St.Gallen

INOMICS AI Tools

The INOMICS AI can generate an article summary or practice questions related to the content of this article. Try it now!

An error occured

Please try again later.

3 Practical questions, generated by our AI model

For more questions on economics study topics, with practice quizzes and detailed answer explanations, check out the INOMICS Study Guides.

Login to your account

Email Address

Forgot your password? Click here.

What Is Research, and Why Do People Do It?

• Open Access
• First Online: 03 December 2022

Cite this chapter

You have full access to this open access chapter

• James Hiebert 6 ,
• Jinfa Cai 7 ,
• Stephen Hwang 7 ,
• Anne K Morris 6 &
• Charles Hohensee 6  

Part of the book series: Research in Mathematics Education ((RME))

16k Accesses

Abstractspiepr Abs1

Every day people do research as they gather information to learn about something of interest. In the scientific world, however, research means something different than simply gathering information. Scientific research is characterized by its careful planning and observing, by its relentless efforts to understand and explain, and by its commitment to learn from everyone else seriously engaged in research. We call this kind of research scientific inquiry and define it as “formulating, testing, and revising hypotheses.” By “hypotheses” we do not mean the hypotheses you encounter in statistics courses. We mean predictions about what you expect to find and rationales for why you made these predictions. Throughout this and the remaining chapters we make clear that the process of scientific inquiry applies to all kinds of research studies and data, both qualitative and quantitative.

You have full access to this open access chapter,  Download chapter PDF

Part I. What Is Research?

Have you ever studied something carefully because you wanted to know more about it? Maybe you wanted to know more about your grandmother’s life when she was younger so you asked her to tell you stories from her childhood, or maybe you wanted to know more about a fertilizer you were about to use in your garden so you read the ingredients on the package and looked them up online. According to the dictionary definition, you were doing research.

Recall your high school assignments asking you to “research” a topic. The assignment likely included consulting a variety of sources that discussed the topic, perhaps including some “original” sources. Often, the teacher referred to your product as a “research paper.”

Were you conducting research when you interviewed your grandmother or wrote high school papers reviewing a particular topic? Our view is that you were engaged in part of the research process, but only a small part. In this book, we reserve the word “research” for what it means in the scientific world, that is, for scientific research or, more pointedly, for scientific inquiry .

Exercise 1.1

Before you read any further, write a definition of what you think scientific inquiry is. Keep it short—Two to three sentences. You will periodically update this definition as you read this chapter and the remainder of the book.

This book is about scientific inquiry—what it is and how to do it. For starters, scientific inquiry is a process, a particular way of finding out about something that involves a number of phases. Each phase of the process constitutes one aspect of scientific inquiry. You are doing scientific inquiry as you engage in each phase, but you have not done scientific inquiry until you complete the full process. Each phase is necessary but not sufficient.

In this chapter, we set the stage by defining scientific inquiry—describing what it is and what it is not—and by discussing what it is good for and why people do it. The remaining chapters build directly on the ideas presented in this chapter.

A first thing to know is that scientific inquiry is not all or nothing. “Scientificness” is a continuum. Inquiries can be more scientific or less scientific. What makes an inquiry more scientific? You might be surprised there is no universally agreed upon answer to this question. None of the descriptors we know of are sufficient by themselves to define scientific inquiry. But all of them give you a way of thinking about some aspects of the process of scientific inquiry. Each one gives you different insights.

Exercise 1.2

As you read about each descriptor below, think about what would make an inquiry more or less scientific. If you think a descriptor is important, use it to revise your definition of scientific inquiry.

Creating an Image of Scientific Inquiry

We will present three descriptors of scientific inquiry. Each provides a different perspective and emphasizes a different aspect of scientific inquiry. We will draw on all three descriptors to compose our definition of scientific inquiry.

Descriptor 1. Experience Carefully Planned in Advance

Sir Ronald Fisher, often called the father of modern statistical design, once referred to research as “experience carefully planned in advance” (1935, p. 8). He said that humans are always learning from experience, from interacting with the world around them. Usually, this learning is haphazard rather than the result of a deliberate process carried out over an extended period of time. Research, Fisher said, was learning from experience, but experience carefully planned in advance.

This phrase can be fully appreciated by looking at each word. The fact that scientific inquiry is based on experience means that it is based on interacting with the world. These interactions could be thought of as the stuff of scientific inquiry. In addition, it is not just any experience that counts. The experience must be carefully planned . The interactions with the world must be conducted with an explicit, describable purpose, and steps must be taken to make the intended learning as likely as possible. This planning is an integral part of scientific inquiry; it is not just a preparation phase. It is one of the things that distinguishes scientific inquiry from many everyday learning experiences. Finally, these steps must be taken beforehand and the purpose of the inquiry must be articulated in advance of the experience. Clearly, scientific inquiry does not happen by accident, by just stumbling into something. Stumbling into something unexpected and interesting can happen while engaged in scientific inquiry, but learning does not depend on it and serendipity does not make the inquiry scientific.

Descriptor 2. Observing Something and Trying to Explain Why It Is the Way It Is

When we were writing this chapter and googled “scientific inquiry,” the first entry was: “Scientific inquiry refers to the diverse ways in which scientists study the natural world and propose explanations based on the evidence derived from their work.” The emphasis is on studying, or observing, and then explaining . This descriptor takes the image of scientific inquiry beyond carefully planned experience and includes explaining what was experienced.

According to the Merriam-Webster dictionary, “explain” means “(a) to make known, (b) to make plain or understandable, (c) to give the reason or cause of, and (d) to show the logical development or relations of” (Merriam-Webster, n.d. ). We will use all these definitions. Taken together, they suggest that to explain an observation means to understand it by finding reasons (or causes) for why it is as it is. In this sense of scientific inquiry, the following are synonyms: explaining why, understanding why, and reasoning about causes and effects. Our image of scientific inquiry now includes planning, observing, and explaining why.

We need to add a final note about this descriptor. We have phrased it in a way that suggests “observing something” means you are observing something in real time—observing the way things are or the way things are changing. This is often true. But, observing could mean observing data that already have been collected, maybe by someone else making the original observations (e.g., secondary analysis of NAEP data or analysis of existing video recordings of classroom instruction). We will address secondary analyses more fully in Chap. 4 . For now, what is important is that the process requires explaining why the data look like they do.

We must note that for us, the term “data” is not limited to numerical or quantitative data such as test scores. Data can also take many nonquantitative forms, including written survey responses, interview transcripts, journal entries, video recordings of students, teachers, and classrooms, text messages, and so forth.

Exercise 1.3

What are the implications of the statement that just “observing” is not enough to count as scientific inquiry? Does this mean that a detailed description of a phenomenon is not scientific inquiry?

Find sources that define research in education that differ with our position, that say description alone, without explanation, counts as scientific research. Identify the precise points where the opinions differ. What are the best arguments for each of the positions? Which do you prefer? Why?

Descriptor 3. Updating Everyone’s Thinking in Response to More and Better Information

This descriptor focuses on a third aspect of scientific inquiry: updating and advancing the field’s understanding of phenomena that are investigated. This descriptor foregrounds a powerful characteristic of scientific inquiry: the reliability (or trustworthiness) of what is learned and the ultimate inevitability of this learning to advance human understanding of phenomena. Humans might choose not to learn from scientific inquiry, but history suggests that scientific inquiry always has the potential to advance understanding and that, eventually, humans take advantage of these new understandings.

Before exploring these bold claims a bit further, note that this descriptor uses “information” in the same way the previous two descriptors used “experience” and “observations.” These are the stuff of scientific inquiry and we will use them often, sometimes interchangeably. Frequently, we will use the term “data” to stand for all these terms.

An overriding goal of scientific inquiry is for everyone to learn from what one scientist does. Much of this book is about the methods you need to use so others have faith in what you report and can learn the same things you learned. This aspect of scientific inquiry has many implications.

One implication is that scientific inquiry is not a private practice. It is a public practice available for others to see and learn from. Notice how different this is from everyday learning. When you happen to learn something from your everyday experience, often only you gain from the experience. The fact that research is a public practice means it is also a social one. It is best conducted by interacting with others along the way: soliciting feedback at each phase, taking opportunities to present work-in-progress, and benefitting from the advice of others.

A second implication is that you, as the researcher, must be committed to sharing what you are doing and what you are learning in an open and transparent way. This allows all phases of your work to be scrutinized and critiqued. This is what gives your work credibility. The reliability or trustworthiness of your findings depends on your colleagues recognizing that you have used all appropriate methods to maximize the chances that your claims are justified by the data.

A third implication of viewing scientific inquiry as a collective enterprise is the reverse of the second—you must be committed to receiving comments from others. You must treat your colleagues as fair and honest critics even though it might sometimes feel otherwise. You must appreciate their job, which is to remain skeptical while scrutinizing what you have done in considerable detail. To provide the best help to you, they must remain skeptical about your conclusions (when, for example, the data are difficult for them to interpret) until you offer a convincing logical argument based on the information you share. A rather harsh but good-to-remember statement of the role of your friendly critics was voiced by Karl Popper, a well-known twentieth century philosopher of science: “. . . if you are interested in the problem which I tried to solve by my tentative assertion, you may help me by criticizing it as severely as you can” (Popper, 1968, p. 27).

A final implication of this third descriptor is that, as someone engaged in scientific inquiry, you have no choice but to update your thinking when the data support a different conclusion. This applies to your own data as well as to those of others. When data clearly point to a specific claim, even one that is quite different than you expected, you must reconsider your position. If the outcome is replicated multiple times, you need to adjust your thinking accordingly. Scientific inquiry does not let you pick and choose which data to believe; it mandates that everyone update their thinking when the data warrant an update.

Doing Scientific Inquiry

We define scientific inquiry in an operational sense—what does it mean to do scientific inquiry? What kind of process would satisfy all three descriptors: carefully planning an experience in advance; observing and trying to explain what you see; and, contributing to updating everyone’s thinking about an important phenomenon?

We define scientific inquiry as formulating , testing , and revising hypotheses about phenomena of interest.

Of course, we are not the only ones who define it in this way. The definition for the scientific method posted by the editors of Britannica is: “a researcher develops a hypothesis, tests it through various means, and then modifies the hypothesis on the basis of the outcome of the tests and experiments” (Britannica, n.d. ).

Notice how defining scientific inquiry this way satisfies each of the descriptors. “Carefully planning an experience in advance” is exactly what happens when formulating a hypothesis about a phenomenon of interest and thinking about how to test it. “ Observing a phenomenon” occurs when testing a hypothesis, and “ explaining ” what is found is required when revising a hypothesis based on the data. Finally, “updating everyone’s thinking” comes from comparing publicly the original with the revised hypothesis.

Doing scientific inquiry, as we have defined it, underscores the value of accumulating knowledge rather than generating random bits of knowledge. Formulating, testing, and revising hypotheses is an ongoing process, with each revised hypothesis begging for another test, whether by the same researcher or by new researchers. The editors of Britannica signaled this cyclic process by adding the following phrase to their definition of the scientific method: “The modified hypothesis is then retested, further modified, and tested again.” Scientific inquiry creates a process that encourages each study to build on the studies that have gone before. Through collective engagement in this process of building study on top of study, the scientific community works together to update its thinking.

Before exploring more fully the meaning of “formulating, testing, and revising hypotheses,” we need to acknowledge that this is not the only way researchers define research. Some researchers prefer a less formal definition, one that includes more serendipity, less planning, less explanation. You might have come across more open definitions such as “research is finding out about something.” We prefer the tighter hypothesis formulation, testing, and revision definition because we believe it provides a single, coherent map for conducting research that addresses many of the thorny problems educational researchers encounter. We believe it is the most useful orientation toward research and the most helpful to learn as a beginning researcher.

A final clarification of our definition is that it applies equally to qualitative and quantitative research. This is a familiar distinction in education that has generated much discussion. You might think our definition favors quantitative methods over qualitative methods because the language of hypothesis formulation and testing is often associated with quantitative methods. In fact, we do not favor one method over another. In Chap. 4 , we will illustrate how our definition fits research using a range of quantitative and qualitative methods.

Exercise 1.4

Look for ways to extend what the field knows in an area that has already received attention by other researchers. Specifically, you can search for a program of research carried out by more experienced researchers that has some revised hypotheses that remain untested. Identify a revised hypothesis that you might like to test.

Unpacking the Terms Formulating, Testing, and Revising Hypotheses

To get a full sense of the definition of scientific inquiry we will use throughout this book, it is helpful to spend a little time with each of the key terms.

We first want to make clear that we use the term “hypothesis” as it is defined in most dictionaries and as it used in many scientific fields rather than as it is usually defined in educational statistics courses. By “hypothesis,” we do not mean a null hypothesis that is accepted or rejected by statistical analysis. Rather, we use “hypothesis” in the sense conveyed by the following definitions: “An idea or explanation for something that is based on known facts but has not yet been proved” (Cambridge University Press, n.d. ), and “An unproved theory, proposition, or supposition, tentatively accepted to explain certain facts and to provide a basis for further investigation or argument” (Agnes & Guralnik, 2008 ).

We distinguish two parts to “hypotheses.” Hypotheses consist of predictions and rationales . Predictions are statements about what you expect to find when you inquire about something. Rationales are explanations for why you made the predictions you did, why you believe your predictions are correct. So, for us “formulating hypotheses” means making explicit predictions and developing rationales for the predictions.

“Testing hypotheses” means making observations that allow you to assess in what ways your predictions were correct and in what ways they were incorrect. In education research, it is rarely useful to think of your predictions as either right or wrong. Because of the complexity of most issues you will investigate, most predictions will be right in some ways and wrong in others.

By studying the observations you make (data you collect) to test your hypotheses, you can revise your hypotheses to better align with the observations. This means revising your predictions plus revising your rationales to justify your adjusted predictions. Even though you might not run another test, formulating revised hypotheses is an essential part of conducting a research study. Comparing your original and revised hypotheses informs everyone of what you learned by conducting your study. In addition, a revised hypothesis sets the stage for you or someone else to extend your study and accumulate more knowledge of the phenomenon.

We should note that not everyone makes a clear distinction between predictions and rationales as two aspects of hypotheses. In fact, common, non-scientific uses of the word “hypothesis” may limit it to only a prediction or only an explanation (or rationale). We choose to explicitly include both prediction and rationale in our definition of hypothesis, not because we assert this should be the universal definition, but because we want to foreground the importance of both parts acting in concert. Using “hypothesis” to represent both prediction and rationale could hide the two aspects, but we make them explicit because they provide different kinds of information. It is usually easier to make predictions than develop rationales because predictions can be guesses, hunches, or gut feelings about which you have little confidence. Developing a compelling rationale requires careful thought plus reading what other researchers have found plus talking with your colleagues. Often, while you are developing your rationale you will find good reasons to change your predictions. Developing good rationales is the engine that drives scientific inquiry. Rationales are essentially descriptions of how much you know about the phenomenon you are studying. Throughout this guide, we will elaborate on how developing good rationales drives scientific inquiry. For now, we simply note that it can sharpen your predictions and help you to interpret your data as you test your hypotheses.

Hypotheses in education research take a variety of forms or types. This is because there are a variety of phenomena that can be investigated. Investigating educational phenomena is sometimes best done using qualitative methods, sometimes using quantitative methods, and most often using mixed methods (e.g., Hay, 2016 ; Weis et al. 2019a ; Weisner, 2005 ). This means that, given our definition, hypotheses are equally applicable to qualitative and quantitative investigations.

Hypotheses take different forms when they are used to investigate different kinds of phenomena. Two very different activities in education could be labeled conducting experiments and descriptions. In an experiment, a hypothesis makes a prediction about anticipated changes, say the changes that occur when a treatment or intervention is applied. You might investigate how students’ thinking changes during a particular kind of instruction.

A second type of hypothesis, relevant for descriptive research, makes a prediction about what you will find when you investigate and describe the nature of a situation. The goal is to understand a situation as it exists rather than to understand a change from one situation to another. In this case, your prediction is what you expect to observe. Your rationale is the set of reasons for making this prediction; it is your current explanation for why the situation will look like it does.

You will probably read, if you have not already, that some researchers say you do not need a prediction to conduct a descriptive study. We will discuss this point of view in Chap. 2 . For now, we simply claim that scientific inquiry, as we have defined it, applies to all kinds of research studies. Descriptive studies, like others, not only benefit from formulating, testing, and revising hypotheses, but also need hypothesis formulating, testing, and revising.

One reason we define research as formulating, testing, and revising hypotheses is that if you think of research in this way you are less likely to go wrong. It is a useful guide for the entire process, as we will describe in detail in the chapters ahead. For example, as you build the rationale for your predictions, you are constructing the theoretical framework for your study (Chap. 3 ). As you work out the methods you will use to test your hypothesis, every decision you make will be based on asking, “Will this help me formulate or test or revise my hypothesis?” (Chap. 4 ). As you interpret the results of testing your predictions, you will compare them to what you predicted and examine the differences, focusing on how you must revise your hypotheses (Chap. 5 ). By anchoring the process to formulating, testing, and revising hypotheses, you will make smart decisions that yield a coherent and well-designed study.

Exercise 1.5

Compare the concept of formulating, testing, and revising hypotheses with the descriptions of scientific inquiry contained in Scientific Research in Education (NRC, 2002 ). How are they similar or different?

Exercise 1.6

Provide an example to illustrate and emphasize the differences between everyday learning/thinking and scientific inquiry.

Learning from Doing Scientific Inquiry

We noted earlier that a measure of what you have learned by conducting a research study is found in the differences between your original hypothesis and your revised hypothesis based on the data you collected to test your hypothesis. We will elaborate this statement in later chapters, but we preview our argument here.

Even before collecting data, scientific inquiry requires cycles of making a prediction, developing a rationale, refining your predictions, reading and studying more to strengthen your rationale, refining your predictions again, and so forth. And, even if you have run through several such cycles, you still will likely find that when you test your prediction you will be partly right and partly wrong. The results will support some parts of your predictions but not others, or the results will “kind of” support your predictions. A critical part of scientific inquiry is making sense of your results by interpreting them against your predictions. Carefully describing what aspects of your data supported your predictions, what aspects did not, and what data fell outside of any predictions is not an easy task, but you cannot learn from your study without doing this analysis.

Analyzing the matches and mismatches between your predictions and your data allows you to formulate different rationales that would have accounted for more of the data. The best revised rationale is the one that accounts for the most data. Once you have revised your rationales, you can think about the predictions they best justify or explain. It is by comparing your original rationales to your new rationales that you can sort out what you learned from your study.

Suppose your study was an experiment. Maybe you were investigating the effects of a new instructional intervention on students’ learning. Your original rationale was your explanation for why the intervention would change the learning outcomes in a particular way. Your revised rationale explained why the changes that you observed occurred like they did and why your revised predictions are better. Maybe your original rationale focused on the potential of the activities if they were implemented in ideal ways and your revised rationale included the factors that are likely to affect how teachers implement them. By comparing the before and after rationales, you are describing what you learned—what you can explain now that you could not before. Another way of saying this is that you are describing how much more you understand now than before you conducted your study.

Revised predictions based on carefully planned and collected data usually exhibit some of the following features compared with the originals: more precision, more completeness, and broader scope. Revised rationales have more explanatory power and become more complete, more aligned with the new predictions, sharper, and overall more convincing.

Part II. Why Do Educators Do Research?

Doing scientific inquiry is a lot of work. Each phase of the process takes time, and you will often cycle back to improve earlier phases as you engage in later phases. Because of the significant effort required, you should make sure your study is worth it. So, from the beginning, you should think about the purpose of your study. Why do you want to do it? And, because research is a social practice, you should also think about whether the results of your study are likely to be important and significant to the education community.

If you are doing research in the way we have described—as scientific inquiry—then one purpose of your study is to understand , not just to describe or evaluate or report. As we noted earlier, when you formulate hypotheses, you are developing rationales that explain why things might be like they are. In our view, trying to understand and explain is what separates research from other kinds of activities, like evaluating or describing.

One reason understanding is so important is that it allows researchers to see how or why something works like it does. When you see how something works, you are better able to predict how it might work in other contexts, under other conditions. And, because conditions, or contextual factors, matter a lot in education, gaining insights into applying your findings to other contexts increases the contributions of your work and its importance to the broader education community.

Consequently, the purposes of research studies in education often include the more specific aim of identifying and understanding the conditions under which the phenomena being studied work like the observations suggest. A classic example of this kind of study in mathematics education was reported by William Brownell and Harold Moser in 1949 . They were trying to establish which method of subtracting whole numbers could be taught most effectively—the regrouping method or the equal additions method. However, they realized that effectiveness might depend on the conditions under which the methods were taught—“meaningfully” versus “mechanically.” So, they designed a study that crossed the two instructional approaches with the two different methods (regrouping and equal additions). Among other results, they found that these conditions did matter. The regrouping method was more effective under the meaningful condition than the mechanical condition, but the same was not true for the equal additions algorithm.

What do education researchers want to understand? In our view, the ultimate goal of education is to offer all students the best possible learning opportunities. So, we believe the ultimate purpose of scientific inquiry in education is to develop understanding that supports the improvement of learning opportunities for all students. We say “ultimate” because there are lots of issues that must be understood to improve learning opportunities for all students. Hypotheses about many aspects of education are connected, ultimately, to students’ learning. For example, formulating and testing a hypothesis that preservice teachers need to engage in particular kinds of activities in their coursework in order to teach particular topics well is, ultimately, connected to improving students’ learning opportunities. So is hypothesizing that school districts often devote relatively few resources to instructional leadership training or hypothesizing that positioning mathematics as a tool students can use to combat social injustice can help students see the relevance of mathematics to their lives.

We do not exclude the importance of research on educational issues more removed from improving students’ learning opportunities, but we do think the argument for their importance will be more difficult to make. If there is no way to imagine a connection between your hypothesis and improving learning opportunities for students, even a distant connection, we recommend you reconsider whether it is an important hypothesis within the education community.

Notice that we said the ultimate goal of education is to offer all students the best possible learning opportunities. For too long, educators have been satisfied with a goal of offering rich learning opportunities for lots of students, sometimes even for just the majority of students, but not necessarily for all students. Evaluations of success often are based on outcomes that show high averages. In other words, if many students have learned something, or even a smaller number have learned a lot, educators may have been satisfied. The problem is that there is usually a pattern in the groups of students who receive lower quality opportunities—students of color and students who live in poor areas, urban and rural. This is not acceptable. Consequently, we emphasize the premise that the purpose of education research is to offer rich learning opportunities to all students.

One way to make sure you will be able to convince others of the importance of your study is to consider investigating some aspect of teachers’ shared instructional problems. Historically, researchers in education have set their own research agendas, regardless of the problems teachers are facing in schools. It is increasingly recognized that teachers have had trouble applying to their own classrooms what researchers find. To address this problem, a researcher could partner with a teacher—better yet, a small group of teachers—and talk with them about instructional problems they all share. These discussions can create a rich pool of problems researchers can consider. If researchers pursued one of these problems (preferably alongside teachers), the connection to improving learning opportunities for all students could be direct and immediate. “Grounding a research question in instructional problems that are experienced across multiple teachers’ classrooms helps to ensure that the answer to the question will be of sufficient scope to be relevant and significant beyond the local context” (Cai et al., 2019b , p. 115).

As a beginning researcher, determining the relevance and importance of a research problem is especially challenging. We recommend talking with advisors, other experienced researchers, and peers to test the educational importance of possible research problems and topics of study. You will also learn much more about the issue of research importance when you read Chap. 5 .

Exercise 1.7

Identify a problem in education that is closely connected to improving learning opportunities and a problem that has a less close connection. For each problem, write a brief argument (like a logical sequence of if-then statements) that connects the problem to all students’ learning opportunities.

Part III. Conducting Research as a Practice of Failing Productively

Scientific inquiry involves formulating hypotheses about phenomena that are not fully understood—by you or anyone else. Even if you are able to inform your hypotheses with lots of knowledge that has already been accumulated, you are likely to find that your prediction is not entirely accurate. This is normal. Remember, scientific inquiry is a process of constantly updating your thinking. More and better information means revising your thinking, again, and again, and again. Because you never fully understand a complicated phenomenon and your hypotheses never produce completely accurate predictions, it is easy to believe you are somehow failing.

The trick is to fail upward, to fail to predict accurately in ways that inform your next hypothesis so you can make a better prediction. Some of the best-known researchers in education have been open and honest about the many times their predictions were wrong and, based on the results of their studies and those of others, they continuously updated their thinking and changed their hypotheses.

A striking example of publicly revising (actually reversing) hypotheses due to incorrect predictions is found in the work of Lee J. Cronbach, one of the most distinguished educational psychologists of the twentieth century. In 1955, Cronbach delivered his presidential address to the American Psychological Association. Titling it “Two Disciplines of Scientific Psychology,” Cronbach proposed a rapprochement between two research approaches—correlational studies that focused on individual differences and experimental studies that focused on instructional treatments controlling for individual differences. (We will examine different research approaches in Chap. 4 ). If these approaches could be brought together, reasoned Cronbach ( 1957 ), researchers could find interactions between individual characteristics and treatments (aptitude-treatment interactions or ATIs), fitting the best treatments to different individuals.

In 1975, after years of research by many researchers looking for ATIs, Cronbach acknowledged the evidence for simple, useful ATIs had not been found. Even when trying to find interactions between a few variables that could provide instructional guidance, the analysis, said Cronbach, creates “a hall of mirrors that extends to infinity, tormenting even the boldest investigators and defeating even ambitious designs” (Cronbach, 1975 , p. 119).

As he was reflecting back on his work, Cronbach ( 1986 ) recommended moving away from documenting instructional effects through statistical inference (an approach he had championed for much of his career) and toward approaches that probe the reasons for these effects, approaches that provide a “full account of events in a time, place, and context” (Cronbach, 1986 , p. 104). This is a remarkable change in hypotheses, a change based on data and made fully transparent. Cronbach understood the value of failing productively.

Closer to home, in a less dramatic example, one of us began a line of scientific inquiry into how to prepare elementary preservice teachers to teach early algebra. Teaching early algebra meant engaging elementary students in early forms of algebraic reasoning. Such reasoning should help them transition from arithmetic to algebra. To begin this line of inquiry, a set of activities for preservice teachers were developed. Even though the activities were based on well-supported hypotheses, they largely failed to engage preservice teachers as predicted because of unanticipated challenges the preservice teachers faced. To capitalize on this failure, follow-up studies were conducted, first to better understand elementary preservice teachers’ challenges with preparing to teach early algebra, and then to better support preservice teachers in navigating these challenges. In this example, the initial failure was a necessary step in the researchers’ scientific inquiry and furthered the researchers’ understanding of this issue.

We present another example of failing productively in Chap. 2 . That example emerges from recounting the history of a well-known research program in mathematics education.

Making mistakes is an inherent part of doing scientific research. Conducting a study is rarely a smooth path from beginning to end. We recommend that you keep the following things in mind as you begin a career of conducting research in education.

First, do not get discouraged when you make mistakes; do not fall into the trap of feeling like you are not capable of doing research because you make too many errors.

Second, learn from your mistakes. Do not ignore your mistakes or treat them as errors that you simply need to forget and move past. Mistakes are rich sites for learning—in research just as in other fields of study.

Third, by reflecting on your mistakes, you can learn to make better mistakes, mistakes that inform you about a productive next step. You will not be able to eliminate your mistakes, but you can set a goal of making better and better mistakes.

Exercise 1.8

How does scientific inquiry differ from everyday learning in giving you the tools to fail upward? You may find helpful perspectives on this question in other resources on science and scientific inquiry (e.g., Failure: Why Science is So Successful by Firestein, 2015).

Exercise 1.9

Use what you have learned in this chapter to write a new definition of scientific inquiry. Compare this definition with the one you wrote before reading this chapter. If you are reading this book as part of a course, compare your definition with your colleagues’ definitions. Develop a consensus definition with everyone in the course.

Part IV. Preview of Chap. 2

Now that you have a good idea of what research is, at least of what we believe research is, the next step is to think about how to actually begin doing research. This means how to begin formulating, testing, and revising hypotheses. As for all phases of scientific inquiry, there are lots of things to think about. Because it is critical to start well, we devote Chap. 2 to getting started with formulating hypotheses.

Agnes, M., & Guralnik, D. B. (Eds.). (2008). Hypothesis. In Webster’s new world college dictionary (4th ed.). Wiley.

Google Scholar  

Britannica. (n.d.). Scientific method. In Encyclopaedia Britannica . Retrieved July 15, 2022 from https://www.britannica.com/science/scientific-method

Brownell, W. A., & Moser, H. E. (1949). Meaningful vs. mechanical learning: A study in grade III subtraction . Duke University Press..

Cai, J., Morris, A., Hohensee, C., Hwang, S., Robison, V., Cirillo, M., Kramer, S. L., & Hiebert, J. (2019b). Posing significant research questions. Journal for Research in Mathematics Education, 50 (2), 114–120. https://doi.org/10.5951/jresematheduc.50.2.0114

Article   Google Scholar  

Cambridge University Press. (n.d.). Hypothesis. In Cambridge dictionary . Retrieved July 15, 2022 from https://dictionary.cambridge.org/us/dictionary/english/hypothesis

Cronbach, J. L. (1957). The two disciplines of scientific psychology. American Psychologist, 12 , 671–684.

Cronbach, L. J. (1975). Beyond the two disciplines of scientific psychology. American Psychologist, 30 , 116–127.

Cronbach, L. J. (1986). Social inquiry by and for earthlings. In D. W. Fiske & R. A. Shweder (Eds.), Metatheory in social science: Pluralisms and subjectivities (pp. 83–107). University of Chicago Press.

Hay, C. M. (Ed.). (2016). Methods that matter: Integrating mixed methods for more effective social science research . University of Chicago Press.

Merriam-Webster. (n.d.). Explain. In Merriam-Webster.com dictionary . Retrieved July 15, 2022, from https://www.merriam-webster.com/dictionary/explain

National Research Council. (2002). Scientific research in education . National Academy Press.

Weis, L., Eisenhart, M., Duncan, G. J., Albro, E., Bueschel, A. C., Cobb, P., Eccles, J., Mendenhall, R., Moss, P., Penuel, W., Ream, R. K., Rumbaut, R. G., Sloane, F., Weisner, T. S., & Wilson, J. (2019a). Mixed methods for studies that address broad and enduring issues in education research. Teachers College Record, 121 , 100307.

Weisner, T. S. (Ed.). (2005). Discovering successful pathways in children’s development: Mixed methods in the study of childhood and family life . University of Chicago Press.

Download references

Author information

Authors and affiliations.

School of Education, University of Delaware, Newark, DE, USA

James Hiebert, Anne K Morris & Charles Hohensee

Department of Mathematical Sciences, University of Delaware, Newark, DE, USA

Jinfa Cai & Stephen Hwang

You can also search for this author in PubMed   Google Scholar

Rights and permissions

Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/ ), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Reprints and permissions

Copyright information

© 2023 The Author(s)

About this chapter

Hiebert, J., Cai, J., Hwang, S., Morris, A.K., Hohensee, C. (2023). What Is Research, and Why Do People Do It?. In: Doing Research: A New Researcher’s Guide. Research in Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-031-19078-0_1

Download citation

DOI : https://doi.org/10.1007/978-3-031-19078-0_1

Published : 03 December 2022

Publisher Name : Springer, Cham

Print ISBN : 978-3-031-19077-3

Online ISBN : 978-3-031-19078-0

eBook Packages : Education Education (R0)

Share this chapter

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

20 Common Researcher Interview Questions and Answers

Common Researcher interview questions, how to answer them, and sample answers from a certified career coach.

You’ve been invited to interview for a research position—congratulations! You know you have the skills and experience, but now it’s time to prove it.

The key to success? Being prepared. To help make sure you shine in your upcoming interview, we’ve compiled some of the most common questions asked during research interviews. Read on, get familiar with them, and practice your answers so you can ace that job interview like a pro.

• What research methods do you use to collect data?
• How do you ensure the accuracy and validity of your research results?
• Describe a time when you had to analyze complex data sets and draw meaningful conclusions from them.
• Explain how you would go about designing an experiment or survey to answer a specific research question.
• Are you familiar with any statistical software programs? If so, which ones?
• What strategies do you use to stay organized while conducting research?
• How do you handle ethical considerations when conducting research?
• Have you ever encountered a situation where you had to adjust your research methodology due to unexpected circumstances?
• Describe a time when you had to present your research findings in a clear and concise manner.
• Do you have experience working with large datasets?
• What challenges have you faced when collecting primary data for a research project?
• How do you approach writing up a research paper or report?
• What techniques do you use to identify potential sources of bias in your research?
• How do you evaluate the quality of secondary sources used in your research?
• What strategies do you use to keep track of changes in the field of research you are studying?
• How do you decide which research questions to pursue?
• What is your experience with peer review processes?
• How do you manage competing demands on your time when conducting research?
• What strategies do you use to ensure that your research remains relevant and up-to-date?
• How do you ensure that your research meets the highest standards of academic integrity?

1. What research methods do you use to collect data?

Research methods are the core of any researcher’s job. You’ll need to be familiar with a variety of different methods, such as surveys, interviews, focus groups, and experiments, and be able to explain how you use each one in your work. This will help the interviewer understand your process and how you can contribute to their organization.

How to Answer:

You should be prepared to explain the research methods you have used in your past work. Talk about how you use surveys, interviews, focus groups, and experiments to collect data, as well as any other methods you may have experience with. If you’re just starting out, then talk through the steps you would take to select a method for each project. You can also mention any specialized methods or software that you are familiar with.

Example: “I use a variety of research methods to collect data, depending on the project. I often use surveys and interviews as primary sources of information, but I also have experience with focus groups, experiments, and software tools like Qualtrics for collecting quantitative data. I’m familiar with specialized methods such as content analysis and ethnography when appropriate. My goal is always to select the method that will provide the most accurate and reliable data for each project.”

2. How do you ensure the accuracy and validity of your research results?

Research requires a level of precision that goes beyond the normal workplace. Good researchers are able to identify what data is relevant and how to collect it in order to make reliable conclusions. Interviewers will want to know that you have the skills and knowledge to conduct research that is both accurate and valid. They’ll also want to know if you use any specific methods or tools to ensure accuracy and validity.

You should be prepared to explain what methods you use to ensure accuracy and validity of your research. This could include double-checking sources, using multiple data points, or triangulating information from different sources to verify results. You can also mention any specific tools or techniques you use, such as conducting surveys or interviews with experts in the field. Be sure to emphasize how important it is for you to make sure that your research is accurate and valid before drawing conclusions.

Example: “When I was working on a research project for ABC Corporation, I had to analyze the data from three different sources. My approach was to use statistical analysis techniques and software tools to cross-reference the data sets and identify any potential discrepancies or outliers. After analyzing the results, I identified a number of key trends that allowed us to draw meaningful conclusions about the company’s operations. The insights gained from this research ultimately led to improvements in the organization’s processes, resulting in increased efficiency and productivity.”

3. Describe a time when you had to analyze complex data sets and draw meaningful conclusions from them.

Research projects often involve a lot of data analysis and interpretation. Knowing how to take large amounts of data and make it into something meaningful is a valuable skill for any researcher. This question is a way for the interviewer to gauge your ability to work with data and draw meaningful conclusions from it.

You should be prepared to provide a specific example of when you had to analyze complex data sets and draw meaningful conclusions from them. Talk about the project, your approach to analyzing the data, and any insights or conclusions that you drew from it. Be sure to emphasize the impact of your findings on the project or organization as well.

Example: “I recently worked on a project for my previous employer in which I had to analyze a large and complex data set. My approach was to break down the data into smaller, more manageable chunks and then look for patterns or correlations between different variables. After doing this, I was able to identify a few key trends that were relevant to the project goals. This allowed us to make better decisions about how to allocate resources and focus our efforts, resulting in a successful outcome.”

4. Explain how you would go about designing an experiment or survey to answer a specific research question.

This question is designed to determine if you have the skills necessary to design and implement valid research experiments. The interviewer wants to know if you understand the fundamentals of research design, such as how to select a sample, how to develop a hypothesis, and how to determine the validity of a study. They also want to know if you can explain the process in a clear and concise manner.

Start by explaining the steps you would take to design an experiment or survey. You should include the following: defining the research question, selecting a sample, developing a hypothesis, creating a data collection plan, and determining how to analyze the results. Be sure to explain any specific techniques you might use in each step, such as random sampling or stratified sampling for your sample selection process. Finally, emphasize the importance of validating the results to ensure they are accurate and reliable.

Example: “When designing an experiment or survey, the first step is to define the research question. Once the research question has been identified, I would then select a sample that is representative of the population being studied. I would also develop a hypothesis based on my understanding of the research question and the available data. After that, I would create a data collection plan that outlines how the data will be collected, such as using surveys, interviews, or focus groups. Finally, I would determine the best method for analyzing the results in order to draw valid conclusions from the research. In all cases, it’s important to validate the results to ensure they are accurate and reliable.”

5. Are you familiar with any statistical software programs? If so, which ones?

Researchers often have to analyze data and present it in a meaningful way. This requires familiarity with statistical software programs like SPSS, SAS, or R. Knowing how to use these programs is a critical part of being a successful researcher, so this question is meant to gauge your level of expertise.

If you are familiar with any of the programs mentioned above, be sure to mention that and explain how you have used them in past research projects. If you are not familiar with these programs, it is still important to emphasize your ability to learn new software quickly. Explain how you approach learning new technologies and provide examples of times when you have successfully done so in the past.

Example: “I have used SPSS and SAS in my previous research projects. I am also comfortable with learning new statistical software programs, as I have done so on multiple occasions in the past. For example, when starting a new project at my last job, I was asked to learn R quickly in order to analyze data. Within two weeks, I had become proficient enough to use it for all of our research needs.”

6. What strategies do you use to stay organized while conducting research?

Research can be a long and complex process, with lots of data to sift through, organize, and analyze. It’s important to show the interviewer that you have a system in place to stay organized throughout the research process, from the initial research plan to the final report. This will demonstrate that you can effectively manage your time and resources, as well as prioritize tasks and remain focused on the task at hand.

You can answer this question by talking about the strategies you use to stay organized while conducting research. You could mention that you create detailed research plans, break down large tasks into smaller ones, and prioritize tasks based on importance and deadlines. Additionally, you could talk about how you utilize organizational tools such as spreadsheets and databases to store data, track progress, and easily access information when needed. Finally, you might also discuss how you take notes during your research process in order to keep track of important ideas or findings.

Example: “I use a variety of strategies to stay organized while conducting research. I always start by creating a detailed research plan that outlines the scope of my work and any deadlines associated with it. From there, I break down large tasks into smaller ones in order to tackle them more efficiently. Additionally, I prioritize tasks based on importance and deadlines in order to remain focused on the task at hand. To help store data, track progress, and access information quickly, I also utilize organizational tools such as spreadsheets and databases. Finally, I take notes during my research process in order to keep track of important ideas or findings.”

7. How do you handle ethical considerations when conducting research?

Research often involves collecting personal data, and it’s important that researchers understand how to approach these situations with respect and integrity. Interviewers want to know that you are aware of ethical considerations and that you are capable of adhering to them. This question is likely to be asked to all potential researchers, as it is an important part of the job.

Talk about the ethical considerations you take into account when conducting research. These can include obtaining informed consent from participants, ensuring confidentiality and anonymity of data, respecting privacy laws, protecting vulnerable populations, and considering potential biases that may arise in your research. You should also mention any processes or protocols you have implemented to ensure ethical compliance with research projects. Finally, emphasize how important it is for researchers to adhere to ethical standards and how seriously you take them.

Example: “I understand the importance of adhering to ethical standards when conducting research, and I take this responsibility very seriously. In my current position as a researcher at ABC University, I follow a strict protocol for obtaining informed consent from participants and ensuring that data is kept confidential and anonymous. I also make sure to consider any potential biases in our research before collecting data and am familiar with applicable privacy laws. Lastly, I always strive to protect vulnerable populations, such as children or those with disabilities, when conducting research.”

8. Have you ever encountered a situation where you had to adjust your research methodology due to unexpected circumstances?

Research is a dynamic process and researchers must be prepared to adjust their methods as needed. This question is designed to assess the flexibility of potential candidates and their ability to think on their feet. It also provides insight into how well a candidate understands the research process, including how to identify and address potential problems.

To answer this question, provide an example of a situation where you had to adjust your research methodology due to unexpected circumstances. Explain how you identified the problem and how you adjusted your methods in order to successfully complete the project. Be sure to emphasize any creative solutions you implemented and the positive outcome that resulted from your adjustment.

Example: “I recently encountered a situation where I had to adjust my research methodology due to unexpected circumstances. I was conducting a survey to analyze consumer behavior in relation to a new product launch. After collecting the first round of data, I noticed a discrepancy in the results that could not be explained. After further investigation, I realized that the sample size I was using was not large enough to accurately capture the data. I quickly adjusted my methodology by increasing the sample size and collecting more data, which ultimately allowed me to identify the discrepancy and provide an accurate analysis of consumer behavior.”

9. Describe a time when you had to present your research findings in a clear and concise manner.

Researchers often have to communicate their findings to colleagues, stakeholders, and the public. The ability to communicate complex research findings in an understandable way is a key skill for someone in this role. This question allows the interviewer to gauge your ability to explain complex concepts in a clear and concise manner.

You should come prepared with an example of a time when you had to present your research findings. Talk about the project, what the goal was, and how you went about presenting it. If possible, provide specific details such as the type of presentation (oral, written, etc.), who you presented to, and the feedback you received. You should also explain the strategies that you used to make sure that the audience understood your message. This could include using visual aids, breaking down complex concepts into simpler terms, or providing examples to illustrate your points.

Example: “My most recent research project focused on the long-term effects of climate change on agricultural production. I knew that it was important to make sure that the findings were presented in a way that was easy to understand and digest. I created a PowerPoint presentation that included visuals and graphs to illustrate my points, as well as a written report that provided a detailed breakdown of the findings. I then presented my findings to a group of stakeholders and received positive feedback. They appreciated my ability to take complex concepts and explain them in a way that was easy to understand.”

10. Do you have experience working with large datasets?

Many research roles require the ability to work with large datasets and analyze the information within them. This question helps employers understand how comfortable you are with such tasks, and it also serves as a way to gauge your technical skills. To answer this question, talk about how you’ve used various tools and techniques to analyze data and how you’ve been able to draw meaningful insights from it.

Start by talking about the types of datasets you’ve worked with, such as structured or unstructured data, and explain how you’ve gone about analyzing them. Then, provide a few examples of projects you’ve completed that involved working with large datasets. Finally, discuss any tools or techniques you’ve used to work with the data, such as statistical software, data visualization tools, machine learning algorithms, etc. Be sure to emphasize your ability to draw meaningful insights from the data and how those insights have helped inform decisions.

Example: “I have experience working with large datasets in both structured and unstructured formats. I have utilized various tools and techniques to analyze the data, such as statistical software and data visualization tools. I’ve also employed machine learning algorithms to uncover patterns and trends from the data. For example, in my most recent project I utilized a variety of data sources to identify potential new markets for our company. Through analyzing the data, I was able to identify key demographic, geographic, and psychographic trends that we could use to target our new customers. This analysis provided valuable insights that informed our marketing strategy and ultimately led to increased sales.”

11. What challenges have you faced when collecting primary data for a research project?

Research often involves gathering primary data from sources such as surveys, interviews, focus groups, and observations. It’s important to determine whether the candidate has the skills necessary to design and implement a research project in order to successfully collect data. This question helps the interviewer understand the candidate’s ability to handle the logistics and challenges of primary data collection.

When answering this question, it’s important to provide specific examples of challenges you have faced and how you overcame them. For example, you could talk about the challenge of finding participants for a survey or focus group, or the difficulty in scheduling interviews with busy professionals. You can also discuss any logistical issues that arose during data collection, such as having unreliable equipment or dealing with uncooperative participants. Be sure to emphasize your problem-solving skills and ability to think on your feet when facing unexpected obstacles.

Example: “I’ve encountered a few challenges when gathering primary data for research projects. For example, when I was working on a survey project for a university, it took me several weeks to find participants willing to answer the survey. I had to be creative in my approach and reach out to different groups, such as student organizations, to recruit participants. I also encountered a few logistical issues, such as having unreliable equipment or dealing with uncooperative participants. I was able to quickly come up with solutions to these issues, such as having backup equipment and developing strategies to engage the participants. Overall, I was able to successfully gather the data I needed and produce valuable research findings.”

12. How do you approach writing up a research paper or report?

Research is a process that requires both creativity and structure. As a researcher, you must be able to synthesize information from a variety of sources, develop strong arguments, and communicate those arguments clearly and concisely in written form. Being able to articulate your approach to researching and writing up a paper will demonstrate your ability to think critically and logically.

Your answer should include the steps you take when writing up a research paper or report. This could include outlining your topic, researching relevant sources, organizing and synthesizing data, developing an argument, drafting and revising the paper, and proofreading for accuracy. It is also important to emphasize how you use critical thinking skills to develop strong arguments and draw meaningful conclusions from your research. Finally, make sure to mention any specific techniques or strategies that you have used successfully in the past.

Example: “When writing up a research paper or report, I approach the task systematically. I begin by outlining my topic and any relevant research questions. I then conduct research to find relevant sources, both primary and secondary. I carefully review and analyze the information I find, and use it to develop my argument. After that, I draft and revise the paper, making sure to include evidence to support my points. Finally, I proofread for accuracy and clarity. Throughout the process, I strive to use critical thinking skills to ensure that my arguments are sound and my conclusions are meaningful.”

13. What techniques do you use to identify potential sources of bias in your research?

Researchers need to be able to identify potential sources of bias in their work, such as selection bias or confirmation bias, in order to ensure the accuracy of their data and the validity of their results. By asking this question, the interviewer is gauging your ability to identify potential sources of bias and how you handle them.

To answer this question, you should discuss the techniques you use to identify potential sources of bias in your research. This could include methods such as double-checking data for accuracy and completeness, using multiple sources of information, or conducting blind studies. Additionally, you can talk about how you handle any biases you may find, such as adjusting your research design or changing your methodology. Be sure to emphasize that accuracy and validity are important to you and that you take steps to ensure they remain a priority.

Example: “I understand the importance of accuracy and validity in research, so I always strive to identify and address any potential sources of bias. I use several techniques to identify bias, such as double-checking my data for accuracy and completeness, using multiple sources of information, and conducting blind studies. When I do identify a potential source of bias, I adjust my research design or change my methodology to address it. I also make sure to communicate any changes to my team and stakeholders to ensure that we’re all on the same page.”

14. How do you evaluate the quality of secondary sources used in your research?

One of the most important skills of a researcher is being able to evaluate the quality of sources used in research. This question allows the interviewer to get a better understanding of your research process and your ability to critically evaluate sources. It also allows them to gauge your level of experience in the field and your knowledge of the research landscape.

To answer this question, you should explain your process for evaluating secondary sources. You can talk about the criteria that you use to evaluate a source’s credibility such as its author or publisher, the date of publication, and any peer reviews that have been conducted on the source. Additionally, you can mention any methods you use to assess the accuracy of information in the source such as cross-referencing with other sources or conducting additional research on the topic. Finally, you should discuss how you use these evaluations to inform your own research.

Example: “When evaluating the quality of secondary sources I use in my research, I consider a few key factors. I always look at the author or publisher of the source, the date of publication, and any peer reviews that have been conducted. I also use a variety of methods to assess the accuracy of the information in the source, such as cross-referencing with other sources and conducting additional research. From there, I use my evaluations to inform my own research and determine how best to use the source. This helps me ensure that I’m using the most reliable and up-to-date sources in my research.”

15. What strategies do you use to keep track of changes in the field of research you are studying?

Research is an ever-evolving field and keeping up with changes in the field is essential to remain relevant and up to date. Interviewers want to know that you have the skills and strategies to stay on top of the latest research, trends, and developments in the field. They’ll be looking for evidence that you have the self-discipline and organizational skills to stay on top of your work and be able to provide timely, accurate research.

You should be prepared to discuss the strategies and tools you use to stay up-to-date on changes in your field. Talk about how you keep track of new research articles, publications, conferences, and other sources of information that are relevant to your work. You can also talk about how you use technology such as RSS feeds, social media, or email alerts to ensure that you’re aware of any news or updates related to your research. Additionally, mention any methods you have for organizing and cataloging the information you collect so it is easily accessible when needed.

Example: “To stay on top of changes in my field, I use a variety of strategies and tools. I subscribe to relevant RSS feeds and email alerts to ensure I’m aware of any new research articles or publications. I also use social media to follow industry leaders and experts in the field and get updates on their work. I also keep an organized library of research material that I have collected over the years. I use a combination of software tools and physical filing systems to keep track of all the information I need. This allows me to quickly access any information I need, when I need it.”

16. How do you decide which research questions to pursue?

Being a researcher requires the ability to prioritize and select the best questions to pursue in order to achieve the desired outcome. This question helps the interviewer get a sense of your process and how you approach problem solving. It also gives them an insight into your critical thinking skills, as well as your ability to analyze data and make meaningful conclusions.

The best way to answer this question is to provide a step-by-step approach of how you decide which research questions to pursue. Start by explaining the research process you go through, such as collecting data, analyzing it and forming hypotheses. Then explain how you prioritize certain questions based on their importance and relevance to the project at hand. Finally, discuss how you use your findings to make informed decisions about which questions are worth pursuing further.

Example: “When I’m deciding which research questions to pursue, I start by gathering all the available data related to the project. From there, I analyze the data to form hypotheses and then prioritize the questions based on their importance and relevance to the project. I also consider the impact each question could have on the overall outcome of the research. Once I have a list of the most important questions, I evaluate the data and use my findings to make informed decisions about which questions are worth pursuing further. Ultimately, my goal is to select the best questions that will yield the most meaningful results.”

17. What is your experience with peer review processes?

Peer review is a critical part of the research process. It requires that researchers review and critique each other’s work in order to ensure that the research is unbiased and credible. This question is a way for the interviewer to assess your knowledge of the research process and your ability to work with other researchers.

To answer this question, you should provide specific examples of your experience with peer review processes. Talk about how you have worked with other researchers to review and critique their work, as well as how you have incorporated feedback from peers into your own research. You can also discuss any challenges or successes you had during the process. Finally, emphasize your understanding of the importance of peer review in the research process and why it is necessary for producing high-quality results.

Example: “I have extensive experience with peer review processes, both as a reviewer and as an author. I have worked with other researchers to review their work and provide constructive feedback, as well as incorporating feedback from peers into my own research. I understand the importance of peer review in the research process and am committed to producing high-quality results. I have also had success in resolving disagreements between reviewers and authors when needed, and I have a strong track record of producing quality research that has been accepted for publication.”

18. How do you manage competing demands on your time when conducting research?

Research can be a demanding job, with a lot of deadlines, competing agendas, and complex data sets to analyze. The interviewer wants to make sure you can prioritize tasks, keep track of multiple projects, and adjust when needed. Your ability to manage competing demands on your time is a key indicator of how successful you will be at the job.

To answer this question, you should focus on how you prioritize tasks and manage deadlines. Talk about the strategies you use to stay organized, such as setting up a calendar or using task management tools. Also discuss any techniques you have for staying focused when there are multiple demands on your time. Finally, emphasize your ability to adjust your plans when needed, such as if an unexpected project comes in or a deadline needs to be moved up.

Example: “I have a few strategies for managing competing demands on my time when conducting research. I prioritize tasks by breaking them down into smaller, manageable chunks and then assigning deadlines to each one. I also use task management tools to keep track of what I need to do and stay organized. And I make sure to take regular breaks to stay focused and energized. When I need to adjust my plans due to unexpected events, I’m able to reassess and re-prioritize my tasks accordingly. I’m confident in my ability to manage competing demands on my time and stay organized when conducting research.”

19. What strategies do you use to ensure that your research remains relevant and up-to-date?

Research is a dynamic field, and the best researchers know that they need to stay informed of the latest developments and trends in order to remain relevant. This question allows your interviewer to assess your knowledge of the field and your commitment to keeping up with the latest research. It shows that you are aware of the need to stay ahead of the curve and that you have the skills to do so.

To answer this question, you should start by discussing the strategies that you use to stay informed. You can talk about how you read industry publications, attend conferences and seminars, or network with other researchers in your field. You should also mention any specific platforms or tools that you use to keep up-to-date on the latest research. Finally, you should explain why staying informed is important to you and how it helps you do better work.

Example: “I use a variety of strategies to ensure that my research remains relevant and up-to-date. I read industry publications, attend conferences and seminars, and network with other researchers to stay informed. I also use specific tools like Google Scholar and ResearchGate to keep track of new developments in my field. It’s important to me to stay ahead of the curve and make sure that my research is as current and relevant as possible. Doing so not only helps me do better work, but it also helps me to provide more value to my employer and contribute to the success of their projects.”

20. How do you ensure that your research meets the highest standards of academic integrity?

Research is the backbone of any organization, and it is crucial for a researcher to maintain the highest standards of academic integrity. Employers want to know that you understand the importance of being thorough and accurate, as well as ethical in your research. They may also want to know how you go about verifying the accuracy of your data and sources, and how you ensure that your research meets the standards expected in the field.

Start off by detailing the steps you take to ensure that your research meets academic integrity standards. For example, you can mention how you always double-check sources and data for accuracy and reliability, or how you use peer review processes to vet your work. Additionally, be sure to emphasize any specific techniques or methods you have used in the past to verify the validity of your findings. Finally, explain why it is important to you to maintain the highest level of academic integrity in your research.

Example: “I understand the importance of academic integrity and take it very seriously in my research. To ensure the highest standards of accuracy, I always double-check my sources and data, and use peer review processes to vet my work. Additionally, I frequently use replication studies to verify the validity of my findings. To me, it is essential to ensure that my research meets the highest standards of academic integrity, as it is the foundation of any successful research project.”

20 Interview Questions Every Data Center Engineer Must Be Able To Answer

20 help desk interview questions and answers, you may also be interested in..., 30 lighting technician interview questions and answers, 30 cargo handler interview questions and answers, 20 mechanical technician interview questions and answers, 20 senior sales manager interview questions and answers.

Office of Undergraduate Research

• Office of Undergraduate Research FAQ's
• URSA Engage
• Resources for Students
• Resources for Faculty
• Engaging in Research
• Presenting Your Research
• Earn Money by Participating in Research Studies
• Transcript Notation
• Student Publications
• International Student Event

Interviewing to work in a Research Group

Interviewing to work in a research lab.

After choosing the faculty member you'd like to conduct research with, the next step is meeting with them to discuss joining their research group. We understand that your first meeting with a potential research mentor can be intimidating, and that's why we are here to help! It's completely normal to be nervous about the first meeting, but utilizing the information on this page will help you to be prepared. 

If you need additional help visit our  drop-in advising hours .

Preparing for the Meeting

Do your own research on the faculty mentor.

• Make sure you know who you are meeting with and what research they focus on.
• Look over the faculty’s research articles, LinkedIn profile, and review their curriculum vitae (which can be found online) to get a sense of their past work

Update your resume

• If you do not have any research experience, emphasize your academic experience! Include any specific courses or skills that may be applicable to the position.
• Describe your past roles and any accomplishments 
• Discuss any obstacles you faced and how you overcame them
• Visit the  Career Development Center's website  for help creating or updating your resume!

Prepare any necessary materials to bring with you

• Portfolio, resume, and a cover letter

Prepare a set of questions you want to ask

• Do you have strategies for researching remotely/online?
• How often do you meet with your undergraduate mentees? 
• Who can I reach out to if I have questions?

Flexibility

• How many hours a week do undergraduate students in your lab normally work? Are my hours flexible?
• Is it possible to work more than 5 hours per week? I am really interested in your work and willing to volunteer my time.
• Is it possible to engage in research in person?
• If possible, can I stay involved until the completion of this research project?

Working in the Research Group

• What is the duration of your research project?
• Is there any training I need to complete before starting the lab?
• Are there any group meetings that I must attend?
• What role will I be expected to play in your research?
• What are the next steps for us moving forward?

Practicing your Responses

During the meeting, you may be asked some of the common questions from the various areas that are listed below. It is important to consider your responses before the meeting. Practice your answers by having someone ask you some of the questions.

This is an essential question in most interviews that allows the faculty member to learn more about who you are. It is important to include the correct information in your response to this question. Structure your answer so it provides faculty with enough information on who you are:  

• What are your interests?
• What are you currently working on?  
• What have you worked on in the past?  
• What are your future goals?  

*It can take about 3-5 minutes to answer these questions*

Tips for answering the "About Yourself" question:

• Write out your responses 
• Practice and highlight the key points of your answer 
• Provide specific examples that have helped you get to where you are 
• Highlight how their research aligns with your future and career goals

Example Responses: 

What are you interested in? What are you currently working on?  "I have been interested in dairy cattle research for some time now and have had experience handling and obtaining urine, feces, and milk samples. One reason why I particularly enjoy working with cattle is that I’m more comfortable with cattle anatomy and the challenges that go along with it. Currently, I am a part-time employee at the Dairy Center.” 

What have you worked on in the past?  Mention your strengths & abilities.   “During my recent experience assisting in research, I was responsible for moving and handling cattle at the Dairy Center. I had to be an effective communicator for things to run smoothly. My real strength is my attention to detail. I pride myself on my reputation for following through and meeting deadlines. When I commit to doing something, I make sure it is completed on time." 

• What are your interests? 
• Tell me about your most significant accomplishments.
• Have you worked in a lab before?
• What skills did you gain from that experience?
• What are your career goals?  
• How do you see a research project fitting with those interests and goals?
• What interests you about my research? 
• Tell me about a project that required you to work as part of a team. What was that experience like?
• What motivates you?
• How do you prioritize your work?
• How do you organize yourself? 
• How will you balance academics and extracurricular activities alongside research? 
• What is your biggest challenge professionally? How are you dealing with it?
• Tell me about a time when you made a decision that resulted in unintended or unexpected consequences. How did you deal with that?
• Tell me a time you disagreed with someone. How did you approach this disagreement/dispute?

During the Meeting

Meeting formats:.

• Can be one-on-one, with other candidates, and/or with a panel of interviewers 
• Body language and behavioral indicators are especially important 
• Arrive at least 15 minutes early, but don't enter until the scheduled meeting time
• Be sure to dress appropriately
• Usually, a two-way platform but can be pre-recorded  
• Same behaviors & etiquettes as in-person 
• Check internet connection ahead of time
• Be in a quiet, well-lit environment with limited distractions
• If you choose to use a background, only use something appropriate. 
• Ensure you are in a quiet place with strong & clear reception
• Non-verbal signals may not come across, but a smile will always come through in your voice!
• Refrain from making jokes or talking negatively about past research groups. 

After the Meeting

• Ask them about what you should expect next.
• Send a follow-up email thanking them for their time and consideration at the end of the interview. In the follow-up email, make sure to ask any last-minute questions you may have.
• Be patient! Professors may not be able to reply to your email right away. If 1-2 weeks have passed, send them a follow up email restating your interest in joining their research group. Feel free to  visit drop-in advising hours  for help writing this type of email.

Find more information on composing  follow-up emails here!

Contact Info

618 Kerr Administration Building Corvallis, OR 97331

541-737-5105

• SUGGESTED TOPICS
• The Magazine
• Newsletters
• Managing Yourself
• Managing Teams
• Work-life Balance
• The Big Idea
• Data & Visuals
• Reading Lists
• Case Selections
• HBR Learning
• Topic Feeds
• Account Settings
• Email Preferences

Research: More People Use Mental Health Benefits When They Hear That Colleagues Use Them Too

• Laura M. Giurge,
• Lauren C. Howe,
• Zsofia Belovai,
• Guusje Lindemann,
• Sharon O’Connor

A study of 2,400 Novartis employees around the world found that simply hearing about others’ struggles can normalize accessing support at work.

Novartis has trained more than 1,000 employees as Mental Health First Aiders to offer peer-to-peer support for their colleagues. While employees were eager for the training, uptake of the program remains low. To understand why, a team of researchers conducted a randomized controlled trial with 2,400 Novartis employees who worked in the UK, Ireland, India, and Malaysia. Employees were shown one of six framings that were designed to overcome two key barriers: privacy concerns and usage concerns. They found that employees who read a story about their colleague using the service were more likely to sign up to learn more about the program, and that emphasizing the anonymity of the program did not seem to have an impact. Their findings suggest that one way to encourage employees to make use of existing mental health resources is by creating a supportive culture that embraces sharing about mental health challenges at work.

“I almost scheduled an appointment about a dozen times. But no, in the end I never went. I just wasn’t sure if my problems were big enough to warrant help and I didn’t want to take up someone else’s time unnecessarily.”

• Laura M. Giurge is an assistant professor at the London School of Economics, and a faculty affiliate at London Business School. Her research focuses on time and boundaries in organizations, workplace well-being, and the future of work. She is also passionate about translating research to the broader public through interactive and creative keynote talks, workshops, and coaching. Follow her on LinkedIn  here .
• Lauren C. Howe is an assistant professor in management at the University of Zurich. As head of research at the Center for Leadership in the Future of Work , she focuses on how human aspects, such as mindsets, socioemotional skills, and leadership, play a role in the changing world of work.
• Zsofia Belovai is a behavioral science lead for the organizational performance research practice at MoreThanNow, focusing on exploring how employee welfare can drive KPIs.
• Guusje Lindemann is a senior behavioral scientist at MoreThanNow, in the social impact and organizational performance practices, working on making the workplace better for all.
• Sharon O’Connor is the global employee wellbeing lead at Novartis. She is a founding member of the Wellbeing Executives Council of The Conference Board, and a guest lecturer on the Workplace Wellness postgraduate certificate at Trinity College Dublin.

Partner Center

Creating the Next Generation of Researchers

A generous grant from the DeNardo Education and Research Foundation awarded to Rita Heuertz, Ph.D., i s creating unique opportunities for Saint Louis University students to work alongside the University's world-class researchers on impactful projects.

University students often find themselves eager for opportunities to apply what they’ve learned in the classroom to real-life research scenarios. Whereas students at some universities are frustrated with hypothetical or scaled-back research opportunities, students at Saint Louis University receive opportunities to work alongside world-class researchers on real, externally funded projects. A generous grant from the DeNardo Education and Research Foundation connects students at varying levels to get involved in such opportunities as early as freshman year.

Rita Heuertz, Ph.D., MLS(ASCP) , professor of clinical health sciences, has served as the principal investigator for the DeNardo grant since it was first awarded to her in 2013. Her program “Active Learning Through Research'' is in its sixth round of continuous funding and has enabled over 81 research scholarships to be awarded to students over the past decade.

"In doing all of this, the students take away from the experience a deep respect for research that stays with them throughout their future years and careers," Heuertz said.

Students work alongside SLU faculty researchers from a variety of disciplines, including clinical health sciences, pediatrics, and nutrition and dietetics. They receive two or more semesters of mentored research experience, the opportunity to publish their research in peer-reviewed journals, and the ability to present their research at conferences in St. Louis and across the country. Students have completed research in fields such as cancer, neuroscience, bacterial biofilms and antimicrobial resistance, sickle cell anemia, and protein regulation.

Heuertz and one of her DeNardo Scholar undergraduate students, Nilan Patel, presented research results from the project “Swarming behavior of Pseudomonas aeruginosa,” a study that assessed the swarming behavior of a pathogen responsible for many infections, such as those seen in patients with burns, chronic infections and cystic fibrosis. Through funding from the DeNardo Foundation, Patel was able to present his research at three venues over the past year, including the 2023 SLU Institute for Drug and Biotherapeutic Innovation (IDBI) Research Symposium, in which he won second place in the undergraduate research competition); the 2023 Discover BMB Conference, which is the annual conference of the American Society for Biochemistry and Molecular Biology; and the 2023 Sigma Xi Research Symposium (SLU Chapter).

Because of this experience, students gain critical research experience early in their undergraduate studies, which leads them toward successful futures. DeNardo Scholars who have graduated from SLU have continued their education at impressive research institutions or pursued careers at industry-leading companies. Heuertz shared that the program has cultivated an appreciation for research and a uniquely profound opportunity to put classwork into action.

“This is excellent for bringing the classroom into the laboratory,” Heuertz said. “It’s in the laboratory, when the students are there doing an experiment, where they learn firsthand the things that we teach in the classroom.”

Heuertz and the SLU community see the program as a pipeline — cultivating the next generation of researchers. With a decade of supporting undergraduate student research under its belt, the future of research continues to shine brightly across campus and into the world.

Story by Mary Pogue, senior copywriter, Paradigm .

This piece was written for the 2023 SLU Research Institute Annual Impact Report. The Impact Report is printed each spring to celebrate the successes of our researchers from the previous year and share the story of SLU's rise as a preeminent Jesuit research university. Design, photography, and some writing contributions are made by Paradigm . More information can be found here .

Register to get your text revised right away for FREE ⚡

Today more than 1001 people got their English checked.

By continuing to use this website, you agree to our Terms of Service .

Get a FREE revision 🎁

Register a new account, welcome back, confirm your email.

Please click the link that we've sent to this address to post your question to our experts. Ok, I'll check my email

not your email? Change it now

Set a new email

Here you can set your new address email. Remember to use a valid email address. We will send you an email to confirm your account.

Facebook Login Discontinued

Unfortunately, the Facebook login method has been discontinued.

To access your TextRanch account, please click the "Reset Password" button below and input your Facebook Email. Our team will send you an email with further instructions.

If you don't remember your email, please fill out this form .

Your text is being reviewed by one of our Experts. We will notify you when your revision is ready.

Or wait in this page

Leave this page open, and your corrected text will appear as soon as it's ready!

You need to add a payment method to get our special promo ⚡

Enter your email below to get instant access to the first Chapter of our Ebook

Downloaded more than 1320 times today.

Add payment method

NOTE: Credits are valid for one year.

We're so happy that you liked your revision! Your feedback helps us improve our service. Want more FREE revisions ? 🎁

Step 1 out of 2!

Like us on Facebook by clicking the like button below:

Almost there!

Last step (2/2)

Share TextRanch on Facebook by clicking on the button below.

Congrats! You've just earned 3 credits!

Closing your account will prevent you from accessing your past revisions, and you will no longer be eligible for a FREE daily revision.

There is no cost to keep your TextRanch account, and we store all of your past revisions in a secure and private manner.

Help us understand

If we didn't meet your expectations, we'd really like to know more. Please tell us why you are closing your account:

The best way to perfect your writing.

Discover why 1,026,573 users count on TextRanch to get their English corrected!

1. Input your text below. 2. Get it corrected in a few minutes by our editors. 3. Improve your English!

One of our experts will correct your English.

📝 ️Notes for your editor

Let our editor help you, include background information, explanations of unusual words and special terms, or instructions about specific improvements you want.

"work in research" vs "work on research"

Last Updated: March 22, 2024

work in research

This phrase is correct and commonly used in English.

• She works in research at a prestigious university.
• He has a job in research and development.
• They are looking for opportunities to work in research.
• Many scientists work in research institutions.
• She is interested in a career in research.

Alternatives:

• work within research
• work for a research organization
• be employed in research
• be involved in research
• have a job in the research field

work on research

• I am currently working on research related to climate change.
• Our team is working on research projects in the field of medicine.
• She spends most of her time working on research for her thesis.
• The scientists are working on research to find a cure for the disease.
• The students are excited to work on research with their professors.
• conducting research
• engaged in research
• performing research
• undertaking research
• carrying out research

Related Comparisons

Thanks to TextRanch, I was able to score above 950 on TOEIC, and I got a good grade on ACTFL OPIC as well. + Read the full interview

I love TextRanch because of the reliable feedback. The editors' comments are helpful and the customer service is amazing. + Read the full interview

TextRanch has helped me to improve my written skills as well as to communicate more naturally, like a local English speaker. + Read the full interview

TextRanch is amazingly responsive and really cares about the client. It's the best online service that I have ever used! + Read the full interview

I started to use TextRanch when I began to learn English. It has been an awesome way to improve my English skills. + Read the full interview

I love that TextRanch editors are real people who revise the text and provide feedback – it makes it so personal. + Read the full interview

I sometimes wonder if my English expressions make sense clearly and TextRanch helps me a lot in such cases. + Read the full interview

TextRanch has been really helpful in improving the flow and repairing the structure of my sentences. + Read the full interview

“Faster than AI"

“This was very helpful and I personally think this site is the best."

“It was extremely thorough and very helpful!"

“7 years without any disappointment. Always 100% satisfied. You guys are the best in the world at what you do. Thank you so much :)"

“In a world of text messages and online communication, this is great to have as a live tool. Thank you."

“Without textranch I would be stuck!"

“Accuracy and fast response. Personal comments from editor. Thank you."

“I wasn't aware of this service, it's fascinating and more reliable than standard IA tools available on the internet"

“The fact that you can get reliable fast feedback on your texts."

“you guys are better than grammarly i'm being honest here"

“OMG! This is really good than any other text correction tools I've used so far. Highly recommend this."

“Very fast and accurate. thank you."

“I love this app because it's help to writing skills all of students ♥️"

“This was exactly the mistake I was looking for, the wording dind´t sound right at first. Better than grammarly!"

“The immediate help that I received was reassuring and very satisfactory. Thanks."

“this helps A LOT for my studies."

“Woow!! I would never have expected such precision! Thank you soooo much!!"

“Real Time Editor and not AI. Many Thanks."

“The very first thing excites me about Textranch is how much your editors care."

“The fact that texts are checked by human editors rather than by AI, etc. I appreciate this!"

“Feel welcome, immediate response, high quality feedback"

“This is the best app that I have ever seen"

“Quick response and got what I intend to say. Grammar correction is excellent because the meaning is retained."

“Excellent, I truly loved this textRanch for quick revision. This textRanch for quick revision is a 10/10 for me."

⚡️Ask our Editor now.

Fresh content for your texts, so you can be more professional.

estimated time: 30 minutes , directly in your inbox

Want to improve your English business writing?

More than 150,000 people like you receive our weekly newsletter to master their English skills!

Why choose TextRanch?

Lowest prices Up to 50% lower than other online editing sites.

Fastest Times Our team of editors is working for you 24/7.

Qualified Editors Native English experts for UK or US English.

Top Customer Service We are here to help. Satisfaction guaranteed!

Learn if your company is eligible for NIH SBIR or STTR funding, how to apply , and what to expect during each step of the application process. Multiple registrations are required to prepare your application and apply for funding.

• Understanding SBIR and STTR
• Eligibility Criteria
• Grants Policy
• Foreign Disclosure and Risk Management
• SBIR and STTR Grants (NOFO s )
• SBIR Contract Solicitations
• Commercialization Readiness Pilot (CRP)
• Supplemental Funding to Diversify the Entpreneurial Workforce
• How to Apply
• Transition Award (Coming Soon)

Our team can help you maximize the benefits from NIH programs and resources which help you bring your innovations to life.

• TABA Funding
• TABA Needs Assessment
• Pitch Coaching
• SOW Development
• Reimbursement

Explore the benefits of public-private partnership in NIH’s nationwide network of innovators who convert academic discoveries into healthcare solutions.

The NIH is actively turning discovery into health by helping small businesses develop innovative technologies that improve health and save lives. See how .

• Search Technologies from Academic Centers and Hubs

We value  diverse perspectives in biomedical innovation and strive to empower scientists and entrepreneurs to bring their discoveries to patients.

• Contact the SEED Team
• Who to Contact and When
• HHS Small Business Program Managers

Research Evaluation and Commercialization Hubs (REACH)

Research Evaluation and Commercialization Hubs (REACH) support academic innovators to convert promising scientific discoveries into medical products while training a diverse biomedical workforce that is globally competitive in technology development and entrepreneurship.

Early consideration of the healthcare impact and commercial viability of scientific discoveries, combined with milestone-driven product development plans, results in de-risked projects primed for startup company formation or licensing.

This trans-NIH program implements the Phase 0 Proof of Concept Partnership pilot program authorized in the 2011 SBIR/STTR Reauthorization Act (P.L. 112-81) .  In 2023, NIH committed $1 million per year for four years to five new REACH hubs (see the REACH Notice of Funding Opportunity ). Together, they will support academic innovators at over 75 institutions in 12 states.

CBC HITES | GCC REACH | Mid-South REACH | Rocky Mountain REACH | UM-BILD

More information about prior REACH hubs is here .   

How the Programs Work

  -->  

Chicago Biomedical Consortium Hub of Innovative Technologies for Entrepreneurship and Science

Institutes:

• Northwestern University
• University of Illinois at Chicago
• University of Chicago
• Loyola University Chicago
• Illinois Institute of Technology
• Rush University
• Rosalind Franklin University
• Discovery Partners Institute
• Northern Illinois University

Gulf Coast Consortia REACH

• Texas A&M University Health Science Center
• University of Texas Medical Branch
• Texas Southern University
• William Marsh Rice University
• Baylor College of Medicine
• Houston Methodist Research Institute
• MD Anderson Cancer Center
• Rice University
• University of Houston
• University of Texas Health Science Center

Mid-South REACH

• Vanderbilt University
• University of Louisville
• Jackson State University
• George Mason University
• American Baptist College
• Belmont University
• Christian Brothers University
• East TN State University
• Fisk University
• Meharry Medical College
• Middle Tennessee State University
• Union University
• Tennessee Board of Regents – Community Colleges
• Tennessee State University
• Tennessee Technological University
• University of Memphis
• University of Tennessee Campuses
• Vanderbilt University Medical Center
• Mississippi State University
• University of Mississippi
• University of Southern Mississippi
• Eastern Kentucky University
• Kentucky Community & Technical College System
• Kentucky State University
• Morehead State University
• Murray State University
• Northern Kentucky University
• University of Kentucky
• Western Kentucky University
• Christopher Newport University
• James Madison University
• Longwood University
• Norfolk State University
• Old Dominion University
• Radford University
• University of Mary Washington
• University of Virginia
• Virginia Commonwealth University
• Virginia Military Institute
• Virginia State University

Rocky Mountain REACH

• University of Montana
• University of Washington
• University of Wyoming
• University of Alaska Anchorage
• Montana State University
• Montana Technological University
• Salish Kootenai College
• Flathead Valley Community College
• Boise State University
• Idaho State University
• University of Idaho

University of Maryland Baltimore Life Science Discovery

• University of Maryland Baltimore
• University of Maryland School of Medicine
• University of Maryland Baltimore County
• Morgan State University
• University of Maryland College Park
• Maryland Innovation Initiative
• Blackbird Laboratories

Stay in the Loop

Subscribe to our mailing list for updates on deadlines and important information.

• Small Business Funding
• Product Development Support
• Entrepreneurial Training
• Resources and Events

Fraud, Waste and Abuse

• Report Fraud

HHS Vulnerability Disclosure | Technical Issues: E-mail OER Webmaster

Stanford Humanities Today

Arcade: a digital salon.

Hope: The Future of an Idea | 2024 Spring Salon

Where is hope in humanities research? Perhaps it's a concept with a particular history, perhaps a force whose effects are latent or invisible; or it may be absent altogether for reasons to explain. Does hope motivate one's work? What does hope mean intellectually and personally?

Please join us for brief responses to these questions by current fellows, followed by a general discussion with Q&A moderated by SHC Director Roland Greene . The event will conclude with a reception.

About the Speakers

Samia Errazzouki (Mellon Postdoctoral Fellow) is a historian of early Northwest Africa. She holds a PhD in history from the University of California, Davis and an MA in Arab Studies from Georgetown University. Her research and teaching focuses on trans-regional histories of racial capitalism, slavery, and empire. Errazzouki formerly worked as a Morocco-based journalist with the Associated Press, and later, with Reuters. She is currently a co-editor of Jadaliyya and assistant editor of The Journal of North African Studies .

Jisha Menon (Violet Andrews Whittier Internal Fellow) is Professor of Theater and Performance Studies, and, by courtesy, of Comparative Literature at Stanford University. She is the author of Brutal Beauty: Aesthetics and Aspiration in Urban India (Northwestern UP, 2021) and The Performance of Nationalism: India, Pakistan and the Memory of Partition (Cambridge UP, 2013). She is also co-editor of two volumes: Violence Performed: Local Roots and Global Routes of Conflict (Palgrave-Macmillan Press, 2009) and Performing the Secular: Religion, Representation, and Politics (Palgrave Macmillan, 2017).

Joseph Wager (SHC Dissertation Prize Fellow) is a PhD Candidate in Iberian and Latin American Cultures at Stanford University. He is writing a dissertation focused on the form of the stories about desaparecidos, what is said about desaparecidos, in contemporary Colombia and Mexico. The dissertation places social-scientific inquiry, the work of activists and collectives, and legal instruments in dialogue with art installations, film, novels, performances, and poems. Underpinning this combination is 1. the idea that human-rights changes stem from how individual and collective actions resist institutionalization or translate into institutions and 2. that cultural products (e.g., art) and their form are crucial to the understanding of such processes.

Ya Zuo (External Faculty Fellow) is an associate professor of History at University of California, Santa Barbara. She is a cultural historian of middle and late imperial China. She is the author of Shen Gua’s Empiricism (Harvard University Press, 2018) and a range of articles on subjects such as theory of knowledge, sensory history, medical history, book history, and the history of emotions.

Stanford Humanities Center 424 Santa Teresa Street

Also online via Zoom

Discovering Humanities Research at Stanford

Stanford Humanities Center

Advancing Research in the Humanities

Humanities Research for a Digital Future

The Humanities in the World

• Annual Reports
• Humanitrees
• Humanities Center Fellows
• Advisory Council
• Director's Alumni Cabinet
• Honorary Fellows
• Hume Honors Fellows
• International Visitors
• Workshop Coordinators
• Why Humanities Matter
• Fellowships for External Faculty
• Fellowships for Stanford Faculty
• Mellon Fellowship of Scholars in the Humanities
• Dissertation Fellowships FAQs
• Career Launch Fellowships
• Fellowships for Stanford Undergraduates
• International Visitors Program
• FAQ Mellon Fellowship
• Faculty Fellowships FAQ
• Events Archive
• Public Lectures
• Checklist for Event Coordinators
• Facilities Guidelines
• co-sponsorship from the Stanford Humanities Center
• Call for Proposals
• Manuscript Workshops
• Past Workshops
• Research Workshops

Numbers, Facts and Trends Shaping Your World

Read our research on:

Full Topic List

Regions & Countries

• Publications
• Our Methods
• Short Reads
• Tools & Resources

Read Our Research On:

About a third of U.S. workers who can work from home now do so all the time

Roughly three years after the COVID-19 pandemic upended U.S. workplaces, about a third (35%) of workers with jobs that can be done remotely are working from home all of the time, according to a new Pew Research Center survey. This is down from 43% in January 2022 and 55% in October 2020 – but up from only 7% before the pandemic.

While the share working from home all the time has fallen off somewhat as the pandemic has gone on, many workers have settled into hybrid work. The new survey finds that 41% of those with jobs that can be done remotely are working a hybrid schedule – that is, working from home some days and from the office, workplace or job site other days. This is up from 35% in January 2022.

Among hybrid workers who are not self-employed, most (63%) say their employer requires them to work in person a certain number of days per week or month. About six-in-ten hybrid workers (59%) say they work from home three or more days in a typical week, while 41% say they do so two days or fewer.

Related: How Americans View Their Jobs

Many hybrid workers would prefer to spend more time working from home than they currently do. About a third (34%) of those who are currently working from home most of the time say, if they had the choice, they’d like to work from home all the time. And among those who are working from home some of the time, half say they’d like to do so all (18%) or most (32%) of the time.

Pew Research Center conducted this analysis to study how the COVID-19 pandemic has affected the workplace and specifically how workers with jobs that can be done from home have adapted their work schedules. To do this, we surveyed 5,775 U.S. adults who are working part time or full time and who have only one job or who have more than one job but consider one of them to be their primary job. All the workers who took part are members of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses.

Address-based sampling ensures that nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. Read more about the ATP’s methodology .

Here are the questions used for this analysis, along with responses, and the survey’s methodology .

The majority of U.S. workers overall (61%) do not have jobs that can be done from home. Workers with lower incomes and those without a four-year college degree are more likely to fall into this category. Among those who do have teleworkable jobs, Hispanic adults and those without a college degree are among the most likely to say they rarely or never work from home.

When looking at all employed adults ages 18 and older in the United States, Pew Research Center estimates that about 14% – or roughly 22 million people – are currently working from home all the time.

The advantages and disadvantages of working from home

Workers who are not self-employed and who are teleworking at least some of the time see one clear advantage – and relatively few downsides – to working from home. By far the biggest perceived upside to working from home is the balance it provides: 71% of those who work from home all, most or some of the time say doing so helps them balance their work and personal lives. That includes 52% who say it helps them a lot with this.

About one-in-ten (12%) of those who are at least occasionally working from home say it hurts their ability to strike the right work-life balance, and 17% say it neither helps nor hurts. There is no significant gender difference in these views. However, parents with children younger than 18 are somewhat more likely than workers without children in that age range to say working from home is helpful in this regard (76% vs. 69%).

A majority of those who are working from home at least some of the time (56%) say this arrangement helps them get their work done and meet deadlines. Only 7% say working from home hurts their ability to do these things, and 37% say it neither helps nor hurts.

There are other aspects of work – some of them related to career advancement – where the impact of working from home seems minimal:

• When asked how working from home affects whether they are given important assignments, 77% of those who are at least sometimes working from home say it neither helps nor hurts, while 14% say it helps and 9% say it hurts.
• When it comes to their chances of getting ahead at work, 63% of teleworkers say working from home neither helps or hurts, while 18% say it helps and 19% say it hurts.
• A narrow majority of teleworkers (54%) say working from home neither helps nor hurts with opportunities to be mentored at work. Among those who do see an impact, it’s perceived to be more negative than positive: 36% say working from home hurts opportunities to be mentored and 10% say it helps.

One aspect of work that many remote workers say working from home makes more challenging is connecting with co-workers: 53% of those who work from home at least some of the time say working from home hurts their ability to feel connected with co-workers, while 37% say it neither helps nor hurts. Only 10% say it helps them feel connected.

In spite of this, those who work from home all the time or occasionally are no less satisfied with their relationship with co-workers than those who never work from home. Roughly two-thirds of workers – whether they are working exclusively from home, follow a hybrid schedule or don’t work from home at all – say they are extremely or very satisfied with these relationships. In addition, among those with teleworkable jobs, employed adults who work from home all the time are about as likely as hybrid workers to say they have at least one close friend at work.

Feeling connected with co-workers is one area where many workers who rarely or never work from home see an advantage in their setup. About four-in-ten of these workers (41%) say the fact that they rarely or never work from home helps in how connected they feel to their co-workers. A similar share (42%) say it neither helps nor hurts, and 17% say it hurts.

At the same time, those who rarely or never work from home are less likely than teleworkers to say their current arrangement helps them achieve work-life balance. A third of these workers say the fact that they rarely or never work from home hurts their ability to balance their work and personal lives, while 40% say it neither helps nor hurts and 27% say it helps.

When it comes to other aspects of work, many of those who rarely or never work from home say their arrangement is neither helpful nor hurtful. This is true when it comes to opportunities to be mentored (53% say this), their ability to get work done and meet deadlines (57%), their chances of getting ahead in their job (68%) and whether they are given important assignments (74%).

Most adults with teleworkable jobs who work from home at least some of the time (71%) say their manager or supervisor trusts them a great deal to get their work done when they’re doing so. Those who work from home all the time are the most likely to feel trusted: 79% of these workers say their manager trusts them a great deal, compared with 64% of hybrid workers.

Hybrid workers feel about as trusted when they’re not working from home: 68% say their manager or supervisor trusts them a great deal to get their work done when they’re not teleworking.

Note: Here are the questions used for this analysis, along with responses, and the survey’s methodology .

• Business & Workplace
• Coronavirus (COVID-19)

A look at small businesses in the U.S.

Majorities of adults see decline of union membership as bad for the u.s. and working people, a look at black-owned businesses in the u.s., from businesses and banks to colleges and churches: americans’ views of u.s. institutions, 2023 saw some of the biggest, hardest-fought labor disputes in recent decades, most popular.

1615 L St. NW, Suite 800 Washington, DC 20036 USA (+1) 202-419-4300 | Main (+1) 202-857-8562 | Fax (+1) 202-419-4372 |  Media Inquiries

Research Topics

• Age & Generations
• Economy & Work
• Family & Relationships
• Gender & LGBTQ
• Immigration & Migration
• International Affairs
• Internet & Technology
• Methodological Research
• News Habits & Media
• Non-U.S. Governments
• Other Topics
• Politics & Policy
• Race & Ethnicity
• Email Newsletters

ABOUT PEW RESEARCH CENTER  Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of  The Pew Charitable Trusts .

Copyright 2024 Pew Research Center

Terms & Conditions

Privacy Policy

Cookie Settings

Reprints, Permissions & Use Policy

Spring Showcase of Student Research Coming Soon

Written by Staff

April 22, 2024

1536 Hewitt Ave

Saint Paul, MN 55104

General Information

Undergraduate Admission

Public Safety Office

Graduate Admission

ITS Central Service Desk

© 2024 Hamline University

In association with Mitchell | Hamline School of Law ®. Mitchell Hamline School of Law ® has more graduate enrollment options than any other law school in the nation.

• On-Campus Transfer
• Online Degree Completion
• International
• Admitted Students
• How to Apply
• Grants & Scholarships
• First-Year and Transfer Aid
• Online Degree Completion Aid
• Graduate Aid
• International Aid
• Military & Veteran Aid
• Undergraduate Tuition
• Online Degree Completion Tuition
• Graduate Tuition
• Housing & Food Costs
• Net Price Calculator
• Payment Info
• Undergraduate
• Continuing Education
• Program Finder
• College of Liberal Arts
• School of Business
• School of Education & Leadership
• Mitchell Hamline School of Law
• Academic Bulletin
• Academic Calendars
• Bush Library
• Registration & Records
• Study Away & Study Abroad
• Housing & Dining
• Counseling & Health
• Service, Spiritual Life, & Recreation
• Activities & Organizations
• Diversity Resources
• Arts at Hamline
• Meet Our Students
• The Neighborhood
• The Hamline Academic Experience
• Student Research Opportunities
• Paid Internships
• Career Development Center
• Alumni Success Stories
• Center for Academic Success & Achievement
• Writing Center
• Why Hamline?
• Mission & History
• Fast Facts and Rankings
• University Leadership
• Diversity, Equity & Inclusion
• Alumni and Donors
• Request Info

Zambia visit shows SSW’s global impact

A UNC School of Social Work delegation saw how their research helped a nonprofit create jobs in rural areas.

A small delegation from the UNC School of Social Work visited the growing rural town of Solwezi (population 90,000) in the North-Western Province of Zambia in March. They came to learn about the impact of local women’s savings and credit groups and their financial literacy training.

The trip was coordinated by Gina Chowa and Rain Masa from the school’s center for  Global Social Development Innovations in partnership with longtime collaborator Mathias Zimba, executive director of  Rising Fountains Development Program in Zambia.

“As partners, we work together to identify ideas and practices that will change lives for the better,” Masa said. “Researchers and graduate students at the school can help build the evidence needed to demonstrate to policymakers, officials and the business community what is needed to  improve the lives of rural Zambians .”

Improving lives in six countries

Masa is an associate professor who also serves as GSDI’s research director. He has worked collaboratively on both economic security and HIV treatment projects with Rising Fountains, a Zambian nonprofit dedicated to improving the livelihoods of women and children in rural areas.

Masa emphasized how community involvement localizes these economic programs and increases their chance of success and relevance.

“Economic security is the focal point of our work,” said Masa. “We provide funding and, maybe more importantly, we are available to Mathias and his team for ongoing capacity support as well.”

Paving career paths

During the visit to her native Zambia, Chowa was visibly moved at the end of a day spent at a teen center and a church. The delegation heard from over a dozen enthusiastic groups of about 20 women each and the men who had joined in support of them.

“These people. This is why I do the work I do,” Chowa said.

Following the presentations, the delegation went to see the small business owners in action. These included a man who bought spare parts for just one bicycle and now runs a repair shop with several assistants, craftswomen who purchased a sewing machine and yarn to create and sell clothing, and a woman who uses a mobile phone and SIM cards to help townspeople make financial transactions.

“This is not about politics,” said one Solwezi community leader. “I stand in the middle in support of our people helping better their lives and those of their families.”

At the end of the visit, local residents piled baskets full of sweet melons, gourds and pineapples at the front of a small church as parting gifts.

“The bounty and generosity of spirit of the nearly 150 people of Solwezi whom we visited with earlier this month made a lasting impression,” said Alice Washington, a longtime member of the school’s advisory board.

Read more about the Zambia trip and support the UNC School of Social Work’s global partnerships by making a gift to the  Global Social Development Innovations Fund .

See climate’s impact on algae to zoos in Carolina Digital Repository’s curation of open access articles.

Robert Hawkins named new SSW vice dean

An associate dean at NC State, he will take on his role at the UNC School of Social Work on July 1.

A message from the interim chancellor: Celebrating our students

In a campus email, Lee H. Roberts wrote it's a privilege to interact with students and inspiring to learn about the diverse range of interests they're working on.

Career Treks event highlights public professions

School of Education students networked in Raleigh with representatives from 11 state agencies.

Global studies scholar aspires to diplomacy

After earning a master’s degree, Kat Goodpaster became assistant director of Carolina’s Russian Flagship Program.

Public Service Awards go to 7 people, 2 groups

The Carolina Center for Public Service honored work on health disparities, refugee aid and more.

CHASE Solar Hub pioneers liquid fuel conversion

At the center's Chapel Hill headquarters, more than 100 researchers work to turn sunlight into methanol.

Trash Force picks up after campus

What started as an extra credit opportunity grew into a club who has fun keeping Carolina clean.

Share on Mastodon