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Explaining How Research Works

We’ve heard “follow the science” a lot during the pandemic. But it seems science has taken us on a long and winding road filled with twists and turns, even changing directions at times. That’s led some people to feel they can’t trust science. But when what we know changes, it often means science is working.

Expaling How Research Works Infographic en español

Explaining the scientific process may be one way that science communicators can help maintain public trust in science. Placing research in the bigger context of its field and where it fits into the scientific process can help people better understand and interpret new findings as they emerge. A single study usually uncovers only a piece of a larger puzzle.

Questions about how the world works are often investigated on many different levels. For example, scientists can look at the different atoms in a molecule, cells in a tissue, or how different tissues or systems affect each other. Researchers often must choose one or a finite number of ways to investigate a question. It can take many different studies using different approaches to start piecing the whole picture together.

Sometimes it might seem like research results contradict each other. But often, studies are just looking at different aspects of the same problem. Researchers can also investigate a question using different techniques or timeframes. That may lead them to arrive at different conclusions from the same data.

Using the data available at the time of their study, scientists develop different explanations, or models. New information may mean that a novel model needs to be developed to account for it. The models that prevail are those that can withstand the test of time and incorporate new information. Science is a constantly evolving and self-correcting process.

Scientists gain more confidence about a model through the scientific process. They replicate each other’s work. They present at conferences. And papers undergo peer review, in which experts in the field review the work before it can be published in scientific journals. This helps ensure that the study is up to current scientific standards and maintains a level of integrity. Peer reviewers may find problems with the experiments or think different experiments are needed to justify the conclusions. They might even offer new ways to interpret the data.

It’s important for science communicators to consider which stage a study is at in the scientific process when deciding whether to cover it. Some studies are posted on preprint servers for other scientists to start weighing in on and haven’t yet been fully vetted. Results that haven't yet been subjected to scientific scrutiny should be reported on with care and context to avoid confusion or frustration from readers.

We’ve developed a one-page guide, "How Research Works: Understanding the Process of Science" to help communicators put the process of science into perspective. We hope it can serve as a useful resource to help explain why science changes—and why it’s important to expect that change. Please take a look and share your thoughts with us by sending an email to [email protected].

Below are some additional resources:

Discoveries in Basic Science: A Perfectly Imperfect Process
When Clinical Research Is in the News
What is Basic Science and Why is it Important?
What is a Research Organism?
What Are Clinical Trials and Studies?
Basic Research – Digital Media Kit
Decoding Science: How Does Science Know What It Knows? (NAS)
Can Science Help People Make Decisions ? (NAS)

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2.1 Why Is Research Important?

Learning objectives.

By the end of this section, you will be able to:

Explain how scientific research addresses questions about behavior
Discuss how scientific research guides public policy
Appreciate how scientific research can be important in making personal decisions

Scientific research is a critical tool for successfully navigating our complex world. Without it, we would be forced to rely solely on intuition, other people’s authority, and blind luck. While many of us feel confident in our abilities to decipher and interact with the world around us, history is filled with examples of how very wrong we can be when we fail to recognize the need for evidence in supporting claims. At various times in history, we would have been certain that the sun revolved around a flat earth, that the earth’s continents did not move, and that mental illness was caused by possession ( Figure 2.2 ). It is through systematic scientific research that we divest ourselves of our preconceived notions and superstitions and gain an objective understanding of ourselves and our world.

The goal of all scientists is to better understand the world around them. Psychologists focus their attention on understanding behavior, as well as the cognitive (mental) and physiological (body) processes that underlie behavior. In contrast to other methods that people use to understand the behavior of others, such as intuition and personal experience, the hallmark of scientific research is that there is evidence to support a claim. Scientific knowledge is empirical : It is grounded in objective, tangible evidence that can be observed time and time again, regardless of who is observing.

While behavior is observable, the mind is not. If someone is crying, we can see behavior. However, the reason for the behavior is more difficult to determine. Is the person crying due to being sad, in pain, or happy? Sometimes we can learn the reason for someone’s behavior by simply asking a question, like “Why are you crying?” However, there are situations in which an individual is either uncomfortable or unwilling to answer the question honestly, or is incapable of answering. For example, infants would not be able to explain why they are crying. In such circumstances, the psychologist must be creative in finding ways to better understand behavior. This chapter explores how scientific knowledge is generated, and how important that knowledge is in forming decisions in our personal lives and in the public domain.

Use of Research Information

Trying to determine which theories are and are not accepted by the scientific community can be difficult, especially in an area of research as broad as psychology. More than ever before, we have an incredible amount of information at our fingertips, and a simple internet search on any given research topic might result in a number of contradictory studies. In these cases, we are witnessing the scientific community going through the process of reaching a consensus, and it could be quite some time before a consensus emerges. For example, the explosion in our use of technology has led researchers to question whether this ultimately helps or hinders us. The use and implementation of technology in educational settings has become widespread over the last few decades. Researchers are coming to different conclusions regarding the use of technology. To illustrate this point, a study investigating a smartphone app targeting surgery residents (graduate students in surgery training) found that the use of this app can increase student engagement and raise test scores (Shaw & Tan, 2015). Conversely, another study found that the use of technology in undergraduate student populations had negative impacts on sleep, communication, and time management skills (Massimini & Peterson, 2009). Until sufficient amounts of research have been conducted, there will be no clear consensus on the effects that technology has on a student's acquisition of knowledge, study skills, and mental health.

In the meantime, we should strive to think critically about the information we encounter by exercising a degree of healthy skepticism. When someone makes a claim, we should examine the claim from a number of different perspectives: what is the expertise of the person making the claim, what might they gain if the claim is valid, does the claim seem justified given the evidence, and what do other researchers think of the claim? This is especially important when we consider how much information in advertising campaigns and on the internet claims to be based on “scientific evidence” when in actuality it is a belief or perspective of just a few individuals trying to sell a product or draw attention to their perspectives.

We should be informed consumers of the information made available to us because decisions based on this information have significant consequences. One such consequence can be seen in politics and public policy. Imagine that you have been elected as the governor of your state. One of your responsibilities is to manage the state budget and determine how to best spend your constituents’ tax dollars. As the new governor, you need to decide whether to continue funding early intervention programs. These programs are designed to help children who come from low-income backgrounds, have special needs, or face other disadvantages. These programs may involve providing a wide variety of services to maximize the children's development and position them for optimal levels of success in school and later in life (Blann, 2005). While such programs sound appealing, you would want to be sure that they also proved effective before investing additional money in these programs. Fortunately, psychologists and other scientists have conducted vast amounts of research on such programs and, in general, the programs are found to be effective (Neil & Christensen, 2009; Peters-Scheffer, Didden, Korzilius, & Sturmey, 2011). While not all programs are equally effective, and the short-term effects of many such programs are more pronounced, there is reason to believe that many of these programs produce long-term benefits for participants (Barnett, 2011). If you are committed to being a good steward of taxpayer money, you would want to look at research. Which programs are most effective? What characteristics of these programs make them effective? Which programs promote the best outcomes? After examining the research, you would be best equipped to make decisions about which programs to fund.

Link to Learning

Watch this video about early childhood program effectiveness to learn how scientists evaluate effectiveness and how best to invest money into programs that are most effective.

Ultimately, it is not just politicians who can benefit from using research in guiding their decisions. We all might look to research from time to time when making decisions in our lives. Imagine that your sister, Maria, expresses concern about her two-year-old child, Umberto. Umberto does not speak as much or as clearly as the other children in his daycare or others in the family. Umberto's pediatrician undertakes some screening and recommends an evaluation by a speech pathologist, but does not refer Maria to any other specialists. Maria is concerned that Umberto's speech delays are signs of a developmental disorder, but Umberto's pediatrician does not; she sees indications of differences in Umberto's jaw and facial muscles. Hearing this, you do some internet searches, but you are overwhelmed by the breadth of information and the wide array of sources. You see blog posts, top-ten lists, advertisements from healthcare providers, and recommendations from several advocacy organizations. Why are there so many sites? Which are based in research, and which are not?

In the end, research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.

NOTABLE RESEARCHERS

Psychological research has a long history involving important figures from diverse backgrounds. While the introductory chapter discussed several researchers who made significant contributions to the discipline, there are many more individuals who deserve attention in considering how psychology has advanced as a science through their work ( Figure 2.3 ). For instance, Margaret Floy Washburn (1871–1939) was the first woman to earn a PhD in psychology. Her research focused on animal behavior and cognition (Margaret Floy Washburn, PhD, n.d.). Mary Whiton Calkins (1863–1930) was a preeminent first-generation American psychologist who opposed the behaviorist movement, conducted significant research into memory, and established one of the earliest experimental psychology labs in the United States (Mary Whiton Calkins, n.d.).

Francis Sumner (1895–1954) was the first African American to receive a PhD in psychology in 1920. His dissertation focused on issues related to psychoanalysis. Sumner also had research interests in racial bias and educational justice. Sumner was one of the founders of Howard University’s department of psychology, and because of his accomplishments, he is sometimes referred to as the “Father of Black Psychology.” Thirteen years later, Inez Beverly Prosser (1895–1934) became the first African American woman to receive a PhD in psychology. Prosser’s research highlighted issues related to education in segregated versus integrated schools, and ultimately, her work was very influential in the hallmark Brown v. Board of Education Supreme Court ruling that segregation of public schools was unconstitutional (Ethnicity and Health in America Series: Featured Psychologists, n.d.).

Although the establishment of psychology’s scientific roots occurred first in Europe and the United States, it did not take much time until researchers from around the world began to establish their own laboratories and research programs. For example, some of the first experimental psychology laboratories in South America were founded by Horatio Piñero (1869–1919) at two institutions in Buenos Aires, Argentina (Godoy & Brussino, 2010). In India, Gunamudian David Boaz (1908–1965) and Narendra Nath Sen Gupta (1889–1944) established the first independent departments of psychology at the University of Madras and the University of Calcutta, respectively. These developments provided an opportunity for Indian researchers to make important contributions to the field (Gunamudian David Boaz, n.d.; Narendra Nath Sen Gupta, n.d.).

When the American Psychological Association (APA) was first founded in 1892, all of the members were White males (Women and Minorities in Psychology, n.d.). However, by 1905, Mary Whiton Calkins was elected as the first female president of the APA, and by 1946, nearly one-quarter of American psychologists were female. Psychology became a popular degree option for students enrolled in the nation’s historically Black higher education institutions, increasing the number of Black Americans who went on to become psychologists. Given demographic shifts occurring in the United States and increased access to higher educational opportunities among historically underrepresented populations, there is reason to hope that the diversity of the field will increasingly match the larger population, and that the research contributions made by the psychologists of the future will better serve people of all backgrounds (Women and Minorities in Psychology, n.d.).

The Process of Scientific Research

Scientific knowledge is advanced through a process known as the scientific method . Basically, ideas (in the form of theories and hypotheses) are tested against the real world (in the form of empirical observations), and those empirical observations lead to more ideas that are tested against the real world, and so on. In this sense, the scientific process is circular. The types of reasoning within the circle are called deductive and inductive. In deductive reasoning , ideas are tested in the real world; in inductive reasoning , real-world observations lead to new ideas ( Figure 2.4 ). These processes are inseparable, like inhaling and exhaling, but different research approaches place different emphasis on the deductive and inductive aspects.

In the scientific context, deductive reasoning begins with a generalization—one hypothesis—that is then used to reach logical conclusions about the real world. If the hypothesis is correct, then the logical conclusions reached through deductive reasoning should also be correct. A deductive reasoning argument might go something like this: All living things require energy to survive (this would be your hypothesis). Ducks are living things. Therefore, ducks require energy to survive (logical conclusion). In this example, the hypothesis is correct; therefore, the conclusion is correct as well. Sometimes, however, an incorrect hypothesis may lead to a logical but incorrect conclusion. Consider this argument: all ducks are born with the ability to see. Quackers is a duck. Therefore, Quackers was born with the ability to see. Scientists use deductive reasoning to empirically test their hypotheses. Returning to the example of the ducks, researchers might design a study to test the hypothesis that if all living things require energy to survive, then ducks will be found to require energy to survive.

Deductive reasoning starts with a generalization that is tested against real-world observations; however, inductive reasoning moves in the opposite direction. Inductive reasoning uses empirical observations to construct broad generalizations. Unlike deductive reasoning, conclusions drawn from inductive reasoning may or may not be correct, regardless of the observations on which they are based. For instance, you may notice that your favorite fruits—apples, bananas, and oranges—all grow on trees; therefore, you assume that all fruit must grow on trees. This would be an example of inductive reasoning, and, clearly, the existence of strawberries, blueberries, and kiwi demonstrate that this generalization is not correct despite it being based on a number of direct observations. Scientists use inductive reasoning to formulate theories, which in turn generate hypotheses that are tested with deductive reasoning. In the end, science involves both deductive and inductive processes.

For example, case studies, which you will read about in the next section, are heavily weighted on the side of empirical observations. Thus, case studies are closely associated with inductive processes as researchers gather massive amounts of observations and seek interesting patterns (new ideas) in the data. Experimental research, on the other hand, puts great emphasis on deductive reasoning.

We’ve stated that theories and hypotheses are ideas, but what sort of ideas are they, exactly? A theory is a well-developed set of ideas that propose an explanation for observed phenomena. Theories are repeatedly checked against the world, but they tend to be too complex to be tested all at once; instead, researchers create hypotheses to test specific aspects of a theory.

A hypothesis is a testable prediction about how the world will behave if our idea is correct, and it is often worded as an if-then statement (e.g., if I study all night, I will get a passing grade on the test). The hypothesis is extremely important because it bridges the gap between the realm of ideas and the real world. As specific hypotheses are tested, theories are modified and refined to reflect and incorporate the result of these tests Figure 2.5 .

To see how this process works, let’s consider a specific theory and a hypothesis that might be generated from that theory. As you’ll learn in a later chapter, the James-Lange theory of emotion asserts that emotional experience relies on the physiological arousal associated with the emotional state. If you walked out of your home and discovered a very aggressive snake waiting on your doorstep, your heart would begin to race and your stomach churn. According to the James-Lange theory, these physiological changes would result in your feeling of fear. A hypothesis that could be derived from this theory might be that a person who is unaware of the physiological arousal that the sight of the snake elicits will not feel fear.

A scientific hypothesis is also falsifiable , or capable of being shown to be incorrect. Recall from the introductory chapter that Sigmund Freud had lots of interesting ideas to explain various human behaviors ( Figure 2.6 ). However, a major criticism of Freud’s theories is that many of his ideas are not falsifiable; for example, it is impossible to imagine empirical observations that would disprove the existence of the id, the ego, and the superego—the three elements of personality described in Freud’s theories. Despite this, Freud’s theories are widely taught in introductory psychology texts because of their historical significance for personality psychology and psychotherapy, and these remain the root of all modern forms of therapy.

In contrast, the James-Lange theory does generate falsifiable hypotheses, such as the one described above. Some individuals who suffer significant injuries to their spinal columns are unable to feel the bodily changes that often accompany emotional experiences. Therefore, we could test the hypothesis by determining how emotional experiences differ between individuals who have the ability to detect these changes in their physiological arousal and those who do not. In fact, this research has been conducted and while the emotional experiences of people deprived of an awareness of their physiological arousal may be less intense, they still experience emotion (Chwalisz, Diener, & Gallagher, 1988).

Scientific research’s dependence on falsifiability allows for great confidence in the information that it produces. Typically, by the time information is accepted by the scientific community, it has been tested repeatedly.

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What Is Research and Why We Do It

First Online: 23 June 2020

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The notions of science and scientific research are discussed and the motivations for doing research are analyzed. Research can span a broad range of approaches, from purely theoretical to practice-oriented; different approaches often coexist and fertilize each other. Research ignites human progress and societal change. In turn, society drives and supports research. The specific role of research in Informatics is discussed. Informatics is driving the current transition towards the new digital society in which we will live in the future.

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In [ 34 ], P.E. Medawar discusses what he calls the “snobismus” of pure versus applied science. In his words, this is one of the most damaging forms of snobbism, which draws a class distinction between pure and applied science.

Originality, rigor, and significance have been defined and used as the key criteria to evaluate research outputs by the UK Research Excellence Framework (REF) [ 46 ]. A research evaluation exercise has been performed periodically since 1986 on UK higher education institutions and their research outputs have been rated according to their originality, rigor, and significance.

The importance of realizing that “we don’t know” was apparently first stated by Socrates, according to Plato’s account of his thought. This is condensed in the famous paradox “I know that I don’t know.”

This view applies mainly to natural and physical sciences.

Roy Amara was President of the Institute for Future, a USA-based think tank, from 1971 until 1990.

The Turing Award is generally recognized as the Nobel prize of Informatics.

See http://uis.unesco.org/apps/visualisations/research-and-development-spending/ .

Israel is a very good example. Investments in research resulted in a proliferation of new, cutting-edge enterprises. The term start-up nation has been coined by Dan Senor and Saul Singer in their successful book [ 51 ] to characterize this phenomenon.

https://ec.europa.eu/programmes/horizon2020/en/h2020-section/societal-challenges .

https://ec.europa.eu/programmes/horizon2020/en/h2020-section/cross-cutting-activities-focus-areas .

This figure has been adapted from a presentation by A. Fuggetta, which describes the mission of Cefriel, an Italian institution with a similar role of Fraunhofer, on a smaller scale.

The ERC takes an ecumenical approach and calls the research sector “Computer Science and Informatics.”

I discuss here the effect of “big data” on research, although most sectors of society—industry, finance, health, …—are also deeply affected.

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2.1: Why Is Research Important?

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Rose M. Spielman, William J. Jenkins, Marilyn D. Lovett, et al.

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Learning Objectives

Explain how scientific research addresses questions about behavior
Discuss how scientific research guides public policy
Appreciate how scientific research can be important in making personal decisions

A skull has a large hole bored through the forehead.

The goal of all scientists is to better understand the world around them. Psychologists focus their attention on understanding behavior, as well as the cognitive (mental) and physiological (body) processes that underlie behavior. In contrast to other methods that people use to understand the behavior of others, such as intuition and personal experience, the hallmark of scientific research is that there is evidence to support a claim. Scientific knowledge is empirical: It is grounded in objective, tangible evidence that can be observed time and time again, regardless of who is observing.

Use of Research Information

Link to Learning

Watch this video about early childhood program effectiveness to learn how scientists evaluate effectiveness and how best to invest money into programs that are most effective.

Ultimately, it is not just politicians who can benefit from using research in guiding their decisions. We all might look to research from time to time when making decisions in our lives. Imagine you just found out that a close friend has breast cancer or that one of your young relatives has recently been diagnosed with autism. In either case, you want to know which treatment options are most successful with the fewest side effects. How would you find that out? You would probably talk with your doctor and personally review the research that has been done on various treatment options—always with a critical eye to ensure that you are as informed as possible.

NOTABLE RESEARCHERS

When the American Psychological Association (APA) was first founded in 1892, all of the members were white males (Women and Minorities in Psychology, n.d.). However, by 1905, Mary Whiton Calkins was elected as the first female president of the APA, and by 1946, nearly one-quarter of American psychologists were female. Psychology became a popular degree option for students enrolled in the nation’s historically black higher education institutions, increasing the number of black Americans who went on to become psychologists. Given demographic shifts occurring in the United States and increased access to higher educational opportunities among historically underrepresented populations, there is reason to hope that the diversity of the field will increasingly match the larger population, and that the research contributions made by the psychologists of the future will better serve people of all backgrounds (Women and Minorities in Psychology, n.d.).

The Process of Scientific Research

Scientific knowledge is advanced through a process known as the scientific method. Basically, ideas (in the form of theories and hypotheses) are tested against the real world (in the form of empirical observations), and those empirical observations lead to more ideas that are tested against the real world, and so on. In this sense, the scientific process is circular. The types of reasoning within the circle are called deductive and inductive. In deductive reasoning , ideas are tested in the real world; in inductive reasoning , real-world observations lead to new ideas ( Figure 2.4 ). These processes are inseparable, like inhaling and exhaling, but different research approaches place different emphasis on the deductive and inductive aspects.

A diagram has a box at the top labeled “hypothesis or general premise” and a box at the bottom labeled “empirical observations.” On the left, an arrow labeled “inductive reasoning” goes from the bottom to top box. On the right, an arrow labeled “deductive reasoning” goes from the top to the bottom box.

A diagram has seven labeled boxes with arrows to show the progression in the flow chart. The chart starts at “Theory” and moves to “Generate hypothesis,” “Collect data,” “Analyze data,” and “Summarize data and report findings.” There are two arrows coming from “Summarize data and report findings” to show two options. The first arrow points to “Confirm theory.” The second arrow points to “Modify theory,” which has an arrow that points back to “Generate hypothesis.”

(a)A photograph shows Freud holding a cigar. (b) The mind’s conscious and unconscious states are illustrated as an iceberg floating in water. Beneath the water’s surface in the “unconscious” area are the id, ego, and superego. The area just below the water’s surface is labeled “preconscious.” The area above the water’s surface is labeled “conscious.”

The Importance of Research in the Advancement of Society

Thanks to the internet and other technologies, life moves at a very fast pace. We’re constantly adapting and learning new ways to do things–as well as expecting and even demanding innovation from our scientists, executives, and leaders.

Without research, our demands would go completely unanswered!

Curiosity leads to research

Research is what propels humanity forward. It’s fueled by curiosity: we get curious, ask questions, and immerse ourselves in discovering everything there is to know. Learning is thriving. Without curiosity and research, progress would slow to a halt, and our lives as we know them would be completely different.

What would happen without research?

If early civilizations hadn’t been curious about the dark sky, we wouldn’t know anything about space. Decades of research have led us to where we are today: a civilized society with the knowledge and tools to move forward.

If that research slowed to a standstill, what would happen?

We’d become ignorant and unaware. We wouldn’t understand or go forward. Without research, we couldn’t say we were close to finding the cure for cancer or find the most eco-friendly way to light up our homes and offices. We wouldn’t know that, even though bees are not our favorites, they do a job that help us all.

Without research, we could not possibly have survived as long as we have.

And there are still millions of things that have yet to be discovered: diseases to cure, waters to explore, species to discover. All of that is possible with research.

The future of research

Thankfully, schools are becoming more concerned with science and technology, and research is finding its place in the minds of today’s students. Students are eager to make discoveries, create solutions to the world’s problems, and invent the next big thing. We’re going places, one research project at a time.

How do we enable researchers to spend their time on, well, research (instead of filling out forms)? Thankfully, there’s cloud-based software to make that easier. Researchers and research administrators can find funding faster , apply for it more easily, manage their funding once they get it, meet federal and local requirements for documentation, stay in compliance if research involves humans or animals, and make sure research facilities are safe .

All of that means they’re one step closer to tomorrow’s big discoveries.

Adapted from an essay by Cali Simboli

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The Importance of Research—A Student Perspective

Rachel arena.

grid.252546.20000000122978753Department of Psychology, Auburn University, Magnolia Street and Duncan Drive and West Thatch Ave, Auburn, AL 36849 USA

Sheridan Chambers

Angelyn rhames, katherine donahoe.

As students, we will focus on the importance of an objective ranking system, research, and mentorship to an applicant. We will address points raised in the (Behavior Analysis In Practice 8(1):7–15, 2015) article as well as debate the usefulness of proposed standards of objective ranking.

A Student’s Perspective on Research

A little more than a year ago each of us was madly scrambling to negotiate the process of graduate program admissions. Like many people who go to graduate school, each of us had some history of viewing academic efforts through the lens of “too much is never enough,” and we applied our obsessive habits to the challenge of gathering information about graduate programs. We pored over Web sites and printed brochures. We stalked program faculty at conferences, via email and phone, and during campus visits. We talked to trusted mentors about the programs they respected. When in professional settings, we tried to find out where people who impressed us had attended graduate school, and we sometimes eavesdropped on strangers’ conversations for potentially valuable tidbits about the graduate programs they were considering.

Based on this chaotic and exhausting experience, we agree with Dixon et al. ( 2015 ) that consumers in our field need standardized information about the relative merits of graduate programs in applied behavior analysis (ABA). When we began the process of screening graduate programs, we knew that we were uninformed but we were less sure about what we needed to learn to become better consumers. We suspect that, like us, most college seniors find it difficult to know what aspects of a graduate program are crucial to the training of highly qualified ABA practitioners. To us, the most important contribution of Dixon et al. ( 2015 ) was to emphasize that our field should not abandon students to an uncertain process of self-education.

We agree with Dixon et al. ( 2015 ) that our field is better equipped than outside bodies (e.g., U.S. News & World Report ) to determine what constitutes top-quality graduate training. We were aware that the Behavior Analysis Certification Board publishes the rates at which graduates of various programs pass its certification exam, and we considered this information during our respective searches. Even as undergraduates, however, we knew that there is more to being a capable practitioner than simply passing the certification exam, and we would have appreciated much more guidance from our field than we received.

In the absence of standardized, objective information about graduate programs, prospective graduate students have to rely heavily on hearsay. As we gathered information on program reputations from mentors and colleagues, it occurred to us that this information sometimes says as much about the person providing it as about graduate programs themselves. We learned that some people are impressed by graduate programs that have a reputation for highly selective admissions, but we were not sure how or whether this predicted the quality of training that we could hope to receive. We learned that certain mentors thought highly of certain programs, but different people thought highly of different programs, and it was not always obvious how these opinions related to specific features of the training offered by the programs. We weren’t always sure whether the opinions were generic or had been offered with our individual needs and interests in mind.

Among the features of graduate programs that interested us was the type and degree of emphasis on research. Here, a few words of explanation will provide context for our perspective. As undergraduates, we learned to value evidence-based practices, data-based case management, and the science-based critical thinking that should guide clinical case management. But each of us decided to seek graduate training not just to apply current best practices; we also wanted to contribute to clinical innovation (e.g., Critchfield 2015 ). For various reasons, none of us wished to conduct research for a living, and we chose our program at Auburn University in part because its accelerated, 12-month, non-thesis curriculum would get us swiftly into the workplace where we knew, from past field experiences, our main reinforcers are to be found. Still, program research emphasis was important to us.

Unfortunately, far too much time and effort was required for us to understand that different programs have different types of research emphases. “Research training” comprises not a single repertoire but many. One involves conducting research. Another involves locating and consuming available research on a topic of interest. Yet, another involves translating from research findings in order to develop innovative interventions (Critchfield 2015 ; Critchfield & Reed, 2005 ). It is here that we would quibble with the position of Dixon et al. ( 2015 ), which suggests a one-size-fits-all approach to assessing the research climate at ABA graduate programs.

In order to gain insight about the research environment in graduate programs, undergraduates often compare their own research interests to those of faculty as described on program web sites and as illustrated in published articles. This comparison is most relevant to students who seek to become independent researchers. Our own goal is to become life-long consumers of research. It may not be the full-time job of Masters-level practitioners to conduct research, but in a field that is growing quickly it is pivotal that people like us not be limited to the state of our field’s knowledge at the time we take a certification exam. We need skills for tracking scholarly developments across the full breath of our careers.

We agree with Dixon et al. ( 2015 ) that it is helpful for ABA program faculty to maintain active research programs, but our concern is with what program graduates are able to do with the fruits of research, not how many articles a faculty member can publish. It has been suggested that the process of developing effective and transportable interventions from research findings requires a skill set that is independent of either conducting research or implementing existing interventions (e.g., Critchfield 2015 ; Critchfield and Reed, 2005 ). No skill set seems more relevant to our lifelong professional development.

Yes, we want to learn how to read and critically evaluate research, but we want to learn to do this from faculty who know how to translate and who care about helping us to become translators. Our ideal ABA program faculty member will have the time and inclination to focus on this. We want mentors who can conduct research, but more importantly who will discuss research with us on a regular basis and explore with us how research findings relate to the behavioral processes operating in practice settings. We want mentors whose skills and schedules allow them to provide on-site clinical supervision through which the connections between research and practice can be drawn explicitly.

While we applaud the efforts of Dixon et al. ( 2015 ) to rank ABA graduate programs in terms of program research climate, we stress that this climate has multiple facets. We represent a category of consumer who cares very much about our field’s research foundations, but we wish to harness rather than add to those foundations. Faculty publication counts may not be the best measure of a program’s ability to help us to this. Unfortunately, the program attributes that we particularly value are hard to quantify and thus will be difficult to incorporate into an objective system for ranking programs. Yet, if the purpose of rankings is to assist consumers (Dixon et al., 2015 ), then the needs of consumers like us should not be ignored.

Contributor Information

Rachel Arena, Email: ude.nrubua@0200azr .

Sheridan Chambers, Email: ude.nrubua@5400cms .

Angelyn Rhames, Email: ude.nrubua@7400rza .

Katherine Donahoe, Email: ude.nrubua@4200drk .

Critchfield TS. What counts as high-quality practitioner training in applied behavior analysis? Behavior Analysis In Practice. 2015; 8 (1):3–6. doi: 10.1007/s40617-015-0049-0. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
Critchfield TS, Reed DD. Conduits of translation in behavior-science bridge research. In: Burgos JE, Ribes E, editors. Theory, basic and applied research, and technological applications in behavior science: Conceptual and methodological issues. Guadalajara, Mexico: University of Guadalajara Press; 2005. pp. 45–84. [ Google Scholar ]
Dixon MR, Reed DD, Smith T, Belisle J, Jackson RE. Research rankings of behavior analytic graduate training programs and their faculty. Behavior Analysis In Practice. 2015; 8 (1):7–15. doi: 10.1007/s40617-015-0057-0. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]

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11.1 The Purpose of Research Writing

Learning objectives.

Identify reasons to research writing projects.
Outline the steps of the research writing process.

Why was the Great Wall of China built? What have scientists learned about the possibility of life on Mars? What roles did women play in the American Revolution? How does the human brain create, store, and retrieve memories? Who invented the game of football, and how has it changed over the years?

You may know the answers to these questions off the top of your head. If you are like most people, however, you find answers to tough questions like these by searching the Internet, visiting the library, or asking others for information. To put it simply, you perform research.

Whether you are a scientist, an artist, a paralegal, or a parent, you probably perform research in your everyday life. When your boss, your instructor, or a family member asks you a question that you do not know the answer to, you locate relevant information, analyze your findings, and share your results. Locating, analyzing, and sharing information are key steps in the research process, and in this chapter, you will learn more about each step. By developing your research writing skills, you will prepare yourself to answer any question no matter how challenging.

Reasons for Research

When you perform research, you are essentially trying to solve a mystery—you want to know how something works or why something happened. In other words, you want to answer a question that you (and other people) have about the world. This is one of the most basic reasons for performing research.

But the research process does not end when you have solved your mystery. Imagine what would happen if a detective collected enough evidence to solve a criminal case, but she never shared her solution with the authorities. Presenting what you have learned from research can be just as important as performing the research. Research results can be presented in a variety of ways, but one of the most popular—and effective—presentation forms is the research paper . A research paper presents an original thesis, or purpose statement, about a topic and develops that thesis with information gathered from a variety of sources.

If you are curious about the possibility of life on Mars, for example, you might choose to research the topic. What will you do, though, when your research is complete? You will need a way to put your thoughts together in a logical, coherent manner. You may want to use the facts you have learned to create a narrative or to support an argument. And you may want to show the results of your research to your friends, your teachers, or even the editors of magazines and journals. Writing a research paper is an ideal way to organize thoughts, craft narratives or make arguments based on research, and share your newfound knowledge with the world.

Write a paragraph about a time when you used research in your everyday life. Did you look for the cheapest way to travel from Houston to Denver? Did you search for a way to remove gum from the bottom of your shoe? In your paragraph, explain what you wanted to research, how you performed the research, and what you learned as a result.

Research Writing and the Academic Paper

No matter what field of study you are interested in, you will most likely be asked to write a research paper during your academic career. For example, a student in an art history course might write a research paper about an artist’s work. Similarly, a student in a psychology course might write a research paper about current findings in childhood development.

Having to write a research paper may feel intimidating at first. After all, researching and writing a long paper requires a lot of time, effort, and organization. However, writing a research paper can also be a great opportunity to explore a topic that is particularly interesting to you. The research process allows you to gain expertise on a topic of your choice, and the writing process helps you remember what you have learned and understand it on a deeper level.

Research Writing at Work

Knowing how to write a good research paper is a valuable skill that will serve you well throughout your career. Whether you are developing a new product, studying the best way to perform a procedure, or learning about challenges and opportunities in your field of employment, you will use research techniques to guide your exploration. You may even need to create a written report of your findings. And because effective communication is essential to any company, employers seek to hire people who can write clearly and professionally.

Writing at Work

Take a few minutes to think about each of the following careers. How might each of these professionals use researching and research writing skills on the job?

Medical laboratory technician
Small business owner
Information technology professional
Freelance magazine writer

A medical laboratory technician or information technology professional might do research to learn about the latest technological developments in either of these fields. A small business owner might conduct research to learn about the latest trends in his or her industry. A freelance magazine writer may need to research a given topic to write an informed, up-to-date article.

Think about the job of your dreams. How might you use research writing skills to perform that job? Create a list of ways in which strong researching, organizing, writing, and critical thinking skills could help you succeed at your dream job. How might these skills help you obtain that job?

Steps of the Research Writing Process

How does a research paper grow from a folder of brainstormed notes to a polished final draft? No two projects are identical, but most projects follow a series of six basic steps.

These are the steps in the research writing process:

Choose a topic.
Plan and schedule time to research and write.
Conduct research.
Organize research and ideas.
Draft your paper.
Revise and edit your paper.

Each of these steps will be discussed in more detail later in this chapter. For now, though, we will take a brief look at what each step involves.

Step 1: Choosing a Topic

As you may recall from Chapter 8 “The Writing Process: How Do I Begin?” , to narrow the focus of your topic, you may try freewriting exercises, such as brainstorming. You may also need to ask a specific research question —a broad, open-ended question that will guide your research—as well as propose a possible answer, or a working thesis . You may use your research question and your working thesis to create a research proposal . In a research proposal, you present your main research question, any related subquestions you plan to explore, and your working thesis.

Step 2: Planning and Scheduling

Before you start researching your topic, take time to plan your researching and writing schedule. Research projects can take days, weeks, or even months to complete. Creating a schedule is a good way to ensure that you do not end up being overwhelmed by all the work you have to do as the deadline approaches.

During this step of the process, it is also a good idea to plan the resources and organizational tools you will use to keep yourself on track throughout the project. Flowcharts, calendars, and checklists can all help you stick to your schedule. See Chapter 11 “Writing from Research: What Will I Learn?” , Section 11.2 “Steps in Developing a Research Proposal” for an example of a research schedule.

Step 3: Conducting Research

When going about your research, you will likely use a variety of sources—anything from books and periodicals to video presentations and in-person interviews.

Your sources will include both primary sources and secondary sources . Primary sources provide firsthand information or raw data. For example, surveys, in-person interviews, and historical documents are primary sources. Secondary sources, such as biographies, literary reviews, or magazine articles, include some analysis or interpretation of the information presented. As you conduct research, you will take detailed, careful notes about your discoveries. You will also evaluate the reliability of each source you find.

Step 4: Organizing Research and the Writer’s Ideas

When your research is complete, you will organize your findings and decide which sources to cite in your paper. You will also have an opportunity to evaluate the evidence you have collected and determine whether it supports your thesis, or the focus of your paper. You may decide to adjust your thesis or conduct additional research to ensure that your thesis is well supported.

Remember, your working thesis is not set in stone. You can and should change your working thesis throughout the research writing process if the evidence you find does not support your original thesis. Never try to force evidence to fit your argument. For example, your working thesis is “Mars cannot support life-forms.” Yet, a week into researching your topic, you find an article in the New York Times detailing new findings of bacteria under the Martian surface. Instead of trying to argue that bacteria are not life forms, you might instead alter your thesis to “Mars cannot support complex life-forms.”

Step 5: Drafting Your Paper

Now you are ready to combine your research findings with your critical analysis of the results in a rough draft. You will incorporate source materials into your paper and discuss each source thoughtfully in relation to your thesis or purpose statement.

When you cite your reference sources, it is important to pay close attention to standard conventions for citing sources in order to avoid plagiarism , or the practice of using someone else’s words without acknowledging the source. Later in this chapter, you will learn how to incorporate sources in your paper and avoid some of the most common pitfalls of attributing information.

Step 6: Revising and Editing Your Paper

In the final step of the research writing process, you will revise and polish your paper. You might reorganize your paper’s structure or revise for unity and cohesion, ensuring that each element in your paper flows into the next logically and naturally. You will also make sure that your paper uses an appropriate and consistent tone.

Once you feel confident in the strength of your writing, you will edit your paper for proper spelling, grammar, punctuation, mechanics, and formatting. When you complete this final step, you will have transformed a simple idea or question into a thoroughly researched and well-written paper you can be proud of!

Review the steps of the research writing process. Then answer the questions on your own sheet of paper.

In which steps of the research writing process are you allowed to change your thesis?
In step 2, which types of information should you include in your project schedule?
What might happen if you eliminated step 4 from the research writing process?

Key Takeaways

People undertake research projects throughout their academic and professional careers in order to answer specific questions, share their findings with others, increase their understanding of challenging topics, and strengthen their researching, writing, and analytical skills.
The research writing process generally comprises six steps: choosing a topic, scheduling and planning time for research and writing, conducting research, organizing research and ideas, drafting a paper, and revising and editing the paper.

What is the importance of research in everyday life?

Chemotherapy. Browsing the internet. Predicting hurricanes and storms. What do these things have in common? For one, they all exhibit the importance of research in everyday life; we would not be able to do these today without preceding decades of trial and error. Here are three top reasons we recognise the importance of research in everyday life, and why it is such an integral part of higher education today.

Research increases the quality of life

According to Universities Canada , “Basic research has led to some of the most commercially successful and life-saving discoveries of the past century, including the laser, vaccines and drugs, and the development of radio and television.” Canadian universities, for example, are currently studying how technology can help breed healthier livestock, how dance can provide long-term benefits to people living with Parkinson’s, and how to tackle affordable student housing in Toronto.

We know now that modern problems require modern solutions. Research is a catalyst for solving the world’s most pressing issues, the complexity of which evolves over time. The entire wealth of research findings throughout history has led us to this very point in civilisation, which brings us to the next reason why research matters.

What does a university’s research prowess mean for you as a student? Source: Shutterstock

Research empowers us with knowledge

Though scientists carry out research, the rest of the world benefits from their findings. We get to know the way of nature, and how our actions affect it. We gain a deeper understanding of people, and why they do the things they do. Best of all, we get to enrich our lives with the latest knowledge of health, nutrition, technology, and business, among others.

On top of that, reading and keeping up with scientific findings sharpen our own analytical skills and judgment. It compels us to apply critical thinking and exercise objective judgment based on evidence, instead of opinions or rumours. All throughout this process, we are picking up new bits of information and establishing new neural connections, which keeps us alert and up-to-date.

Research drives progress forward

Thanks to scientific research, modern medicine can cure diseases like tuberculosis and malaria. We’ve been able to simplify vaccines, diagnosis, and treatment across the board. Even COVID-19 — a novel disease — could be studied based on what is known about the SARS coronavirus. Now, the vaccine Pfizer and BioNTech have been working on has proven 90% effective at preventing COVID-19 infection.

Mankind has charted such progress thanks to the scientific method. Beyond improving healthcare, it is also responsible for the evolution of technology, which in turn guides the development of almost every other industry in the automation age. The world is the way it is today because academics throughout history have relentlessly sought answers in their laboratories and faculties; our future depends on what we do with all this newfound information.

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The role of research at universities: why it matters.

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Teaching and learning, research and discovery, synthesis and creativity, understanding and engagement, service and outreach. There are many “core elements” to the mission of a great university. Teaching would seem the most obvious, but for those outside of the university, “research” (taken to include scientific research, scholarship more broadly, as well as creative activity) may be the least well understood. This creates misunderstanding of how universities invest resources, especially those deriving from undergraduate tuition and state (or other public) support, and the misperception that those resources are being diverted away from what is believed should be the core (and sole) focus, teaching. This has led to a loss of trust, confidence, and willingness to continue to invest or otherwise support (especially our public) universities.

Why are universities engaged in the conduct of research? Who pays? Who benefits? And why does it all matter? Good questions. Let’s get to some straightforward answers. Because the academic research enterprise really is not that difficult to explain, and its impacts are profound.

So let’s demystify university-based research. And in doing so, hopefully we can begin building both better understanding and a better relationship between the public and higher education, both of which are essential to the future of US higher education.

Why are universities engaged in the conduct of research?

Universities engage in research as part of their missions around learning and discovery. This, in turn, contributes directly and indirectly to their primary mission of teaching. Universities and many colleges (the exception being those dedicated exclusively to undergraduate teaching) have as part of their mission the pursuit of scholarship. This can come in the form of fundamental or applied research (both are most common in the STEM fields, broadly defined), research-based scholarship or what often is called “scholarly activity” (most common in the social sciences and humanities), or creative activity (most common in the arts). Increasingly, these simple categorizations are being blurred, for all good reasons and to the good of the discovery of new knowledge and greater understanding of complex (transdisciplinary) challenges and the creation of increasingly interrelated fields needed to address them.

It goes without saying that the advancement of knowledge (discovery, innovation, creation) is essential to any civilization. Our nation’s research universities represent some of the most concentrated communities of scholars, facilities, and collective expertise engaged in these activities. But more importantly, this is where higher education is delivered, where students develop breadth and depth of knowledge in foundational and advanced subjects, where the skills for knowledge acquisition and understanding (including contextualization, interpretation, and inference) are honed, and where students are educated, trained, and otherwise prepared for successful careers. Part of that training and preparation derives from exposure to faculty who are engaged at the leading-edge of their fields, through their research and scholarly work. The best faculty, the teacher-scholars, seamlessly weave their teaching and research efforts together, to their mutual benefit, and in a way that excites and engages their students. In this way, the next generation of scholars (academic or otherwise) is trained, research and discovery continue to advance inter-generationally, and the cycle is perpetuated.

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University research can be expensive, particularly in laboratory-intensive fields. But the responsibility for much (indeed most) of the cost of conducting research falls to the faculty member. Faculty who are engaged in research write grants for funding (e.g., from federal and state agencies, foundations, and private companies) to support their work and the work of their students and staff. In some cases, the universities do need to invest heavily in equipment, facilities, and personnel to support select research activities. But they do so judiciously, with an eye toward both their mission, their strategic priorities, and their available resources.

Medical research, and medical education more broadly, is expensive and often requires substantial institutional investment beyond what can be covered by clinical operations or externally funded research. But universities with medical schools/medical centers have determined that the value to their educational and training missions as well as to their communities justifies the investment. And most would agree that university-based medical centers are of significant value to their communities, often providing best-in-class treatment and care in midsize and smaller communities at a level more often seen in larger metropolitan areas.

Research in the STEM fields (broadly defined) can also be expensive. Scientific (including medical) and engineering research often involves specialized facilities or pieces of equipment, advanced computing capabilities, materials requiring controlled handling and storage, and so forth. But much of this work is funded, in large part, by federal agencies such as the National Science Foundation, National Institutes of Health, US Department of Energy, US Department of Agriculture, and many others.

Research in the social sciences is often (not always) less expensive, requiring smaller amount of grant funding. As mentioned previously, however, it is now becoming common to have physical, natural, and social scientist teams pursuing large grant funding. This is an exciting and very promising trend for many reasons, not the least of which is the nature of the complex problems being studied.

Research in the arts and humanities typically requires the least amount of funding as it rarely requires the expensive items listed previously. Funding from such organizations as the National Endowment for the Arts, National Endowment for the Humanities, and private foundations may be able to support significant scholarship and creation of new knowledge or works through much more modest grants than would be required in the natural or physical sciences, for example.

Philanthropy may also be directed toward the support of research and scholarly activity at universities. Support from individual donors, family foundations, private or corporate foundations may be directed to support students, faculty, labs or other facilities, research programs, galleries, centers, and institutes.

Who benefits?

Students, both undergraduate and graduate, benefit from studying in an environment rich with research and discovery. Besides what the faculty can bring back to the classroom, there are opportunities to engage with faculty as part of their research teams and even conduct independent research under their supervision, often for credit. There are opportunities to learn about and learn on state-of-the-art equipment, in state-of-the-art laboratories, and from those working on the leading edge in a discipline. There are opportunities to co-author, present at conferences, make important connections, and explore post-graduate pathways.

The broader university benefits from active research programs. Research on timely and important topics attracts attention, which in turn leads to greater institutional visibility and reputation. As a university becomes known for its research in certain fields, they become magnets for students, faculty, grants, media coverage, and even philanthropy. Strength in research helps to define a university’s “brand” in the national and international marketplace, impacting everything from student recruitment, to faculty retention, to attracting new investments.

The community, region, and state benefits from the research activity of the university. This is especially true for public research universities. Research also contributes directly to economic development, clinical, commercial, and business opportunities. Resources brought into the university through grants and contracts support faculty, staff, and student salaries, often adding additional jobs, contributing directly to the tax base. Research universities, through their expertise, reputation, and facilities, can attract new businesses into their communities or states. They can also launch and incubate startup companies, or license and sell their technologies to other companies. Research universities often host meeting and conferences which creates revenue for local hotels, restaurants, event centers, and more. And as mentioned previously, university medical centers provide high-quality medical care, often in midsize communities that wouldn’t otherwise have such outstanding services and state-of-the-art facilities.

(Photo by Justin Sullivan/Getty Images)

And finally, why does this all matter?

Research is essential to advancing society, strengthening the economy, driving innovation, and addressing the vexing and challenging problems we face as a people, place, and planet. It’s through research, scholarship, and discovery that we learn about our history and ourselves, understand the present context in which we live, and plan for and secure our future.

Research universities are vibrant, exciting, and inspiring places to learn and to work. They offer opportunities for students that few other institutions can match – whether small liberal arts colleges, mid-size teaching universities, or community colleges – and while not right for every learner or every educator, they are right for many, if not most. The advantages simply cannot be ignored. Neither can the importance or the need for these institutions. They need not be for everyone, and everyone need not find their way to study or work at our research universities, and we stipulate that there are many outstanding options to meet and support different learning styles and provide different environments for teaching and learning. But it’s critically important that we continue to support, protect, and respect research universities for all they do for their students, their communities and states, our standing in the global scientific community, our economy, and our nation.

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How to effectively explain why my research is important?

I gave a presentation on my PhD research at university last week, and it was criticised for lacking practical significance. A different comment suggested the presentation was not placed in context. Could somebody provide some advice on how to place research in context and convey its practical significance? How can I effectively assess who/what/where/when will see the benefits of my research?

8 <rant>It is annoying that (in general in academia) you are forced to say that your research is significant. So it is... (which is hard to tell before) or you make it up.</rant> – Piotr Migdal Jul 4, 2013 at 7:17
1 @Piotr Migdal: I disagree with you. What I find annoying is two things: that there seems to be little place for fondamental research, and that in response fondamental researchers lie about their motivations to make it look more applied than it is. But one should be able to explain at least why she is interested in the question she worked out for years, and this has to be related to some sort of significance. – Benoît Kloeckner Jul 4, 2013 at 7:45
9 @BenoîtKloeckner Actually, I agree with you. The question "Why do you consider this topic worth investigating?" is crucial (and when it is a PhD student is is usually not yet possible to judge significance, without story-telling). But when it comes to "practical significance"... well, for fundamental research (as opposed to applied, or - engineering) it almost certainly not cure cancer, solve environmental problems and create a quantum computer (and again, Roentgen didn't work on "saving millions of lives with better diagnostics" - he was just working on a potentially fruitful thing). – Piotr Migdal Jul 4, 2013 at 12:17
I have similar issue but with my advisor. He always asks me for applications (applied scenarios) for my research ideas. I believe its out there but I do not know what's the name of it. I either come up with application from my little head or the whole paper will be screwed. – seteropere Jul 5, 2013 at 4:34

3 Answers 3

Ask yourself a number of questions:

Why am I doing the research?
What problem am I solving?
Why should anyone else by interested in this research?
How can my results help solve someone else's problem?

The first two questions will help you understand what you are doing from your own personal perspective, as well as establishing the context of the work. The latter two will help you establish why someone else would be interested in your work.

In short, ask What? and So what? about your work.

3 I think that for many PhD students the answer to the first question is "because my supervisor picked this project for me"... Of course, the real reason is never stated publicly... – Nick S Oct 20, 2016 at 0:49

Definitely, your advisor is the person who should help you most with this question, so make sure you talk to her.

With this disclaimer, I would like to distinguish two things: the good and the bad way to justify the significance of your research. To be clear, good and bad are personal (but motivated) judgments and are not related with what will please people asking you that question, but with what is sane argument.

Let's start with the bad way:

this is the most important thing and most others are specialization of it: giving false but vaguely plausible reasons to study what you studied, hopping to reach other's expectations,

claiming applications that are often claimed in the area, or vaguely related but at best very long term applications (e.g. "my study of cell migration is crucial for understanding metastases, so it will help cure Cancer"; this works with any fondamental research in cell biology),

name-dropping (e.g. "Nobel Prize Trucmuche has studied this 20 years ago, so surely that must be interesting"),

generalization for the sake of generalization -applies maybe mostly to maths, but applies a lot there- (e.g. "Finsler geometry is a generalization of Riemannian geometry, so surely it is interesting").

lacking any clue (e.g. "My advisor told me to do it, so I did"). If you don't know why you are doing what you do, at some point you should find out or change subject.

Note that 1. is very, very often seen in grant application, and it might be impossible in some cases to apply successfully without resorting to this kind of argument. This does not make it a good argument; we should be as thorough in assessing the relevance of our research than we are in assessing our research result.

Now the good way:

this is the most important thing and all others are specialization of it: explaining the reasons why you where interested in the project, why you find it fascinating or interesting,

giving perspective applications that sincerely did motivate your work , either from start or that you realized during the research process. This may not exist, which is not (rather, should not be) an issue, at least in fondamental research,

placing your research in context: how it relates to what has been done before, to which previously raised question it answers, which previously held beliefs it contradicts,

explaining how it generalizes previous work to meaningful, existing examples (e.g. "My theorem on Finsler geometry explains such and such features of Hilbert geometry"),

explain the perspectives opened by your work (e.g. "if we believe this principle applies even more generally, then we can hope to use my methods to understand such and such important phenomenons"),

explain why it is fun (e.g. "look at this dancing corn starch: weird, huh?")

Without knowing your actual field of research, here are some general pointers (by no means, is this an exhaustive list):

Research and find other papers based on or is similar to your work, this will give a bit of a basis for the practical context.

From reading of papers, try and define a gap where your research may help with.

Ask your supervisor/advisor for advice in this, employ their help in defining the context.

1 "From reading of papers, try and define a gap where your research may help with." This seems to go backward: you do research because you noticed a gap in what we know, not the other way round. – Benoît Kloeckner Jul 4, 2013 at 7:46
Doesn't hurt to find further evidence for this, particularly in a practical sense. – user7130 Jul 4, 2013 at 7:59
3 @Benoit: Maybe in an ideal sense, but I think many PhD students start marching down their research path because their advisor has noticed that gap; I don't know how many students find that gap on their own. That's why I like the third suggestion here the most. – J.R. Jul 4, 2013 at 10:37
1 @J.R.: sure, but then the advisor can point out the gap, and at some point the graduate student must understand the motivation by herself. – Benoît Kloeckner Jul 4, 2013 at 14:23

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7 Why Is Research Important?

[latexpage]

Learning Objectives

By the end of this section, you will be able to:

Explain how scientific research addresses questions about behavior
Discuss how scientific research guides public policy
Appreciate how scientific research can be important in making personal decisions

Scientific research is a critical tool for successfully navigating our complex world. Without it, we would be forced to rely solely on intuition, other people’s authority, and blind luck. While many of us feel confident in our abilities to decipher and interact with the world around us, history is filled with examples of how very wrong we can be when we fail to recognize the need for evidence in supporting claims. At various times in history, we would have been certain that the sun revolved around a flat earth, that the earth’s continents did not move, and that mental illness was caused by possession ( [link] ). It is through systematic scientific research that we divest ourselves of our preconceived notions and superstitions and gain an objective understanding of ourselves and our world.

USE OF RESEARCH INFORMATION

Trying to determine which theories are and are not accepted by the scientific community can be difficult, especially in an area of research as broad as psychology. More than ever before, we have an incredible amount of information at our fingertips, and a simple internet search on any given research topic might result in a number of contradictory studies. In these cases, we are witnessing the scientific community going through the process of reaching a consensus, and it could be quite some time before a consensus emerges. For example, the hypothesized link between exposure to media violence and subsequent aggression has been debated in the scientific community for roughly 60 years. Even today, we will find detractors, but a consensus is building. Several professional organizations view media violence exposure as a risk factor for actual violence, including the American Medical Association, the American Psychiatric Association, and the American Psychological Association (American Academy of Pediatrics, American Academy of Child & Adolescent Psychiatry, American Psychological Association, American Medical Association, American Academy of Family Physicians, American Psychiatric Association, 2000).

We should be informed consumers of the information made available to us because decisions based on this information have significant consequences. One such consequence can be seen in politics and public policy. Imagine that you have been elected as the governor of your state. One of your responsibilities is to manage the state budget and determine how to best spend your constituents’ tax dollars. As the new governor, you need to decide whether to continue funding the D.A.R.E. (Drug Abuse Resistance Education) program in public schools ( [link] ). This program typically involves police officers coming into the classroom to educate students about the dangers of becoming involved with alcohol and other drugs. According to the D.A.R.E. website (www.dare.org), this program has been very popular since its inception in 1983, and it is currently operating in 75% of school districts in the United States and in more than 40 countries worldwide. Sounds like an easy decision, right? However, on closer review, you discover that the vast majority of research into this program consistently suggests that participation has little, if any, effect on whether or not someone uses alcohol or other drugs (Clayton, Cattarello, & Johnstone, 1996; Ennett, Tobler, Ringwalt, & Flewelling, 1994; Lynam et al., 1999; Ringwalt, Ennett, & Holt, 1991). If you are committed to being a good steward of taxpayer money, will you fund this particular program, or will you try to find other programs that research has consistently demonstrated to be effective?

A D.A.R.E. poster reads “D.A.R.E. to resist drugs and violence.”

Watch this news report to learn more about some of the controversial issues surrounding the D.A.R.E. program.

Ultimately, it is not just politicians who can benefit from using research in guiding their decisions. We all might look to research from time to time when making decisions in our lives. Imagine you just found out that a close friend has breast cancer or that one of your young relatives has recently been diagnosed with autism. In either case, you want to know which treatment options are most successful with the fewest side effects. How would you find that out? You would probably talk with your doctor and personally review the research that has been done on various treatment options—always with a critical eye to ensure that you are as informed as possible.

THE PROCESS OF SCIENTIFIC RESEARCH

Scientific knowledge is advanced through a process known as the scientific method . Basically, ideas (in the form of theories and hypotheses) are tested against the real world (in the form of empirical observations), and those empirical observations lead to more ideas that are tested against the real world, and so on. In this sense, the scientific process is circular. The types of reasoning within the circle are called deductive and inductive. In deductive reasoning , ideas are tested against the empirical world; in inductive reasoning , empirical observations lead to new ideas ( [link] ). These processes are inseparable, like inhaling and exhaling, but different research approaches place different emphasis on the deductive and inductive aspects.

Play this “Deal Me In” interactive card game to practice using inductive reasoning.

A diagram has four boxes: the top is labeled “theory,” the right is labeled “hypothesis,” the bottom is labeled “research,” and the left is labeled “observation.” Arrows flow in the direction from top to right to bottom to left and back to the top, clockwise. The top right arrow is labeled “use the hypothesis to form a theory,” the bottom right arrow is labeled “design a study to test the hypothesis,” the bottom left arrow is labeled “perform the research,” and the top left arrow is labeled “create or modify the theory.”

A scientific hypothesis is also falsifiable , or capable of being shown to be incorrect. Recall from the introductory chapter that Sigmund Freud had lots of interesting ideas to explain various human behaviors ( [link] ). However, a major criticism of Freud’s theories is that many of his ideas are not falsifiable; for example, it is impossible to imagine empirical observations that would disprove the existence of the id, the ego, and the superego—the three elements of personality described in Freud’s theories. Despite this, Freud’s theories are widely taught in introductory psychology texts because of their historical significance for personality psychology and psychotherapy, and these remain the root of all modern forms of therapy.

Visit this website to apply the scientific method and practice its steps by using them to solve a murder mystery, determine why a student is in trouble, and design an experiment to test house paint.

Scientists are engaged in explaining and understanding how the world around them works, and they are able to do so by coming up with theories that generate hypotheses that are testable and falsifiable. Theories that stand up to their tests are retained and refined, while those that do not are discarded or modified. In this way, research enables scientists to separate fact from simple opinion. Having good information generated from research aids in making wise decisions both in public policy and in our personal lives.

Review Questions

Scientific hypotheses are ________ and falsifiable.

________ are defined as observable realities.

Scientific knowledge is ________.

A major criticism of Freud’s early theories involves the fact that his theories ________.

were too limited in scope
were too outrageous
were too broad
were not testable

Critical Thinking Questions

In this section, the D.A.R.E. program was described as an incredibly popular program in schools across the United States despite the fact that research consistently suggests that this program is largely ineffective. How might one explain this discrepancy?

There is probably tremendous political pressure to appear to be hard on drugs. Therefore, even though D.A.R.E. might be ineffective, it is a well-known program with which voters are familiar.

The scientific method is often described as self-correcting and cyclical. Briefly describe your understanding of the scientific method with regard to these concepts.

This cyclical, self-correcting process is primarily a function of the empirical nature of science. Theories are generated as explanations of real-world phenomena. From theories, specific hypotheses are developed and tested. As a function of this testing, theories will be revisited and modified or refined to generate new hypotheses that are again tested. This cyclical process ultimately allows for more and more precise (and presumably accurate) information to be collected.

Personal Application Questions

Healthcare professionals cite an enormous number of health problems related to obesity, and many people have an understandable desire to attain a healthy weight. There are many diet programs, services, and products on the market to aid those who wish to lose weight. If a close friend was considering purchasing or participating in one of these products, programs, or services, how would you make sure your friend was fully aware of the potential consequences of this decision? What sort of information would you want to review before making such an investment or lifestyle change yourself?

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What is innovation?

When you think of innovation, what springs to mind? Maybe it’s a flashy new gadget—but don’t be mistaken. There’s much more to the world of innovation, which extends far beyond new products and things you’ll find on a store shelf.

Get to know and directly engage with senior McKinsey experts on innovation.

Marc de Jong is a senior partner in McKinsey’s Amsterdam office, Laura Furstenthal is a senior partner in the Bay Area office, and Erik Roth is a senior partner in the Stamford office.

If products alone aren’t the full story, what is innovation? In a business context, innovation is the ability to conceive, develop, deliver, and scale new products, services, processes, and business models for customers.

Successful innovation delivers net new growth that is substantial. As McKinsey senior partner Laura Furstenthal notes in an episode of the Inside the Strategy Room podcast , “However you measure it, innovation has to increase value and drive growth.”

As important as innovation is, getting it right can be challenging. Over 80 percent of executives surveyed say that innovation is among their top three priorities, yet less than 10 percent report being satisfied with their organizations’ innovation performance. Many established companies are better operators than innovators , producing few new and creative game changers. Most succeed by optimizing existing core businesses.

Why is innovation important in business?

Some companies do succeed at innovation. Our research considered how proficient 183 companies were at innovation, and compared that assessment against a proprietary database of economic profit (the total profit minus the cost of capital). We found that companies that harness the essentials of innovation see a substantial performance edge that separates them from others—with evidence that mastering innovation can generate economic profit that is 2.4 times higher than that of other players .

Learn more about our Strategy & Corporate Finance practice.

How can leaders decide what innovations to prioritize?

Successful innovation has historically occurred at the intersection of several elements, which can guide prioritization efforts. The three most important elements are the who, the what, and the how :

An unmet customer need (the ‘who’): Who is the customer and what problem do they need to solve? Are macrotrends such as automation driving changes in customer needs?
A solution (the ‘what’): Is the solution compelling and can it be executed?
A business model that allows for the solution to be monetized (the ‘how’): How will the solution create value? What is the business model?

Successful innovation requires answers to each of these questions.

An example from inventor and businessman Thomas Edison helps illustrate the concept. “In every case, he did not just invent the what, he also invented a how,” says Furstenthal in a conversation on innovation . “In the case of the light bulb, he created the filament and the vacuum tube that allowed it to turn on and off, and he developed the production process that enabled mass production.”

Circular, white maze filled with white semicircles.

Introducing McKinsey Explainers : Direct answers to complex questions

How do organizations become better innovators.

McKinsey conducted research into the attributes and behaviors behind superior innovation performance , which were validated in action at hundreds of companies. This research yielded eight critical elements for organizations to master:

Aspire: Do you regard innovation-led growth as critical, and have you put in place cascaded targets that reflect this?
Choose: Do you invest in a coherent, time- and risk-balanced portfolio of initiatives, and do you devote sufficient resources to it?
Discover: Are your business, market, and technology R&D efforts actionable and capable of being translated into winning value propositions?
Evolve: Do you create new business models that provide defensible, robust, and scalable profit sources?
Accelerate: Do you develop and launch innovations quickly and effectively?
Scale: Do you launch innovations at the right scale in the relevant markets and segments?
Extend: Do you create and capitalize on external networks?
Mobilize: Are your people motivated, rewarded, and organized to innovate repeatedly?

Of these eight essentials, two merit particular attention : aspire and choose . Without these two elements, efforts may be too scattershot to make a lasting difference. It’s particularly crucial to ensure that leaders are setting bold aspirations and making tough choices when it comes to resource allocation and portfolio moves. To do so successfully, many leaders will need to shift their mindsets or management approaches.

What are examples of successful innovators?

Real-world examples of successful innovation, related to some of the eight essentials listed , can highlight the benefits of pursuing innovation systematically :

Mercedes-Benz Group invested extensively in digitizing its product development system. That allowed the company to shorten its innovation cycles significantly , and its capabilities for personalizing cars have improved, even as assembly efficiency rose by 25 percent.
Gavi, a public–private partnership founded to save children’s lives and protect their health by broadening access to immunization, used nonfinancial targets to help drive its innovation efforts —and this helped the organization broaden its aspiration for impact in a way that was bold, specific, measurable, and time bound.
Lantmännen, a large Nordic agricultural cooperative, faced flat organic growth. Leadership created a vision and strategic plan connected to financial targets cascaded down to business units and product groups. Doing so allowed the organization to move from 4 percent annual growth to 13 percent, on the back of successfully launching several new brands.
The information services organization RELX Group brought discipline to choosing its innovation portfolio by running ten to 15 experiments in each customer segment in its pipeline every year. It selects one or two of the most successful ideas from the portfolio to continue.
International insurance company Discovery Group mobilized the organization around innovation by creating incentives for a thousand of the company’s leaders using semiannual divisional scorecards. Innovation isn’t a choice; it’s a requirement and a part of the organization’s culture.

These examples aren’t necessarily what you may think of when you imagine disruptive innovation—which calls to mind moves that shake up an entire industry, and might be more associated with top tech trends such as the Bio Revolution . Yet these examples show how committing to innovation can make a sizable difference.

How can my organization improve the volume and quality of new ideas?

Steps to help aspiring innovators get started include the following:

Hold collision sessions: Cross-functional groups gather in a structured process to think through the intersection of unmet customer needs, technology trends, and business models, bringing creativity and specificity to the process of idea generation. Then, a venture panel considers these ideas and iterates on them, prioritizing what to do.
Challenge orthodoxies: Participants gather and describe beliefs that are common but that prevent the organization from innovating for customers. Examples of these orthodoxies include statements such as “budgets are limited” or “we don’t have the digital capabilities to pull it off.” Once the orthodoxies are laid out, teams brainstorm after being prompted to consider if the opposite of the statement were true.
Make analogies to other industries: A team might create a list of companies with unique value propositions. Then, they systematically apply these value propositions to their ideas to see if the analogy can create new sources of value or fresh opportunities.
Apply constraints: Rather than searching for blue-sky ideas, tighten the constraints on an idea’s business or operating model and explore potential new solutions. What if you served only one type of customer? What if the only channel you could access was online?

In the words of chemist Linus Pauling, “The way to get to good ideas is to get lots of ideas and throw the bad ones away.”

What is an innovation portfolio?

An innovation portfolio is a thoughtfully curated bundle of potentially innovative initiatives, with clear aspirations and required resources defined for each. Managing the portfolio this way helps find new opportunities and determine the appropriate number and mix of initiatives, including the following:

confirming the total value of the portfolio needed
evaluating existing innovation projects based on incremental value delivered, risk, and alignment with strategic priorities
getting comfortable saying “no” to stop projects that are dilutive, and resisting the siren song of incremental initiatives that are unlikely to pay for themselves
reallocating resources—including competencies and skills—to new initiatives or to current ones that additional support can accelerate or amplify
identifying portfolio gaps and defining new initiatives to close them

How to measure innovation?

One way to measure innovation is to look at innovation-driven net new growth, which we call the “green box.” This phrase refers to how you quantify the growth in revenue or earnings that an innovation needs to provide within a defined timeframe. This concept can help clarify aspirations and influence choices on the innovation journey.

While many imagine that innovation is solely about creativity and generating ideas, at its core, innovation is a matter of resource allocation . To put it another way: it’s one thing to frame innovation as a catalyst for growth, and another to act upon it by refocusing people, assets, and management attention on the organization’s best ideas.

The green box can help to solidify a tangible commitment by defining the value that a company creates from breakthrough and incremental innovation, on a defined timeline (say, five years), with quantifiable metrics such as net new revenue or earnings growth. Crucially, the green box looks at growth from innovation alone, setting aside other possible sources such as market momentum, M&A, and so forth. And once defined, the growth aspiration can be cascaded into a set of objectives and metrics that the company’s various operating units can incorporate into its individual innovation portfolios.

It’s useful to note that some organizations may find that measures not solely financial in nature are more appropriate or relevant. For instance, metrics such as the number of subscribers or patients—or customer satisfaction—can resonate. What’s critical is selecting a metric that is a proxy for value creation. A large US healthcare payer , for example, looked to spur innovation that would improve patient satisfaction and the quality of care.

Separate from the concept of the green box, two simple metrics can also offer surprising insight about innovation vis-à-vis the effectiveness of an organization’s R&D spending. Both of these lend themselves to benchmarking, since they can be gauged from the outside in, and they offer insight at the level of a company’s full innovation portfolio. The two R&D conversion metrics are as follows:

R&D-to-product conversion: This metric is calculated by looking at the ratio of R&D spending (as a portion of sales) to sales from new products. It can show how well your R&D dollars convert to actual sales of new products—and it might reveal that spending more doesn’t necessarily translate into stronger performance.
New-products-to-margin conversion: This metric considers the ratio of gross margin percentage to sales from new products. It can indicate how new-product sales contribute to lifting margins.

While no metric is perfect, these may offer perspective that keeps the focus squarely on returns from innovation and the value it creates—often more meaningful than looking inward at measures of activity, such as the number of patents secured.

How do you create a high-performing innovation team?

Innovation is a team sport. Experience working with strong innovators and start-ups has helped identify ten traits of successful innovation teams . Those fall into four big categories: vision , or the ability to spot opportunities and inspire others to go after them; collaboration , which relates to fostering effective teamwork and change management (for instance, by telling a good innovation story ); learning or absorbing new ideas; and execution , with traits that facilitate snappy decision making even when uncertainty arises.

Being strategic about the composition of an innovation team can help minimize failures and bring discipline to the process.

What innovation advice can help business leaders?

One broad piece of advice centers on creating a culture that accounts for the human side of innovation . When people worry about failure, criticism, or the career impact of a wrong move, it can keep them from embracing innovation. In a recent poll, 85 percent of executives say fear holds back their organization’s innovation efforts often or always—but there are ways to overcome these barriers .

Additionally, the Committed Innovator podcast and related articles share perspectives from leading experts who have helped their organizations tackle inertia and unlock bold strategic moves. If you are looking for words of wisdom, their insights can help spark inspiration to innovate:

Naomi Kelman, CEO, Willow . “Creating a safe environment for innovation is really what you need to do to get the greatness out of the people who work with you, which is ultimately what drives growth.”
Safi Bahcall, author, Loonshots . “Most of the important breakthroughs failed many times before they succeeded. That is where ‘fail fast’ goes wrong. Most companies are too impatient.”
Amy Brooks, chief innovation officer, National Basketball Association . “You can use data or examples to convince people about what is working in the market or what other industries are doing. We like to share best practices within our own leagues and within sports, but we also pay attention to every other industry that sells to consumers.”
Tanya Baker, global leader, Goldman Sachs Accelerate . “If someone knowledgeable thinks what you are doing is a bad idea, make sure they have a seat at the table. Put them on your board; make them one of your advisers so you don’t have any blind spots.”
Neal Gutterson, former chief technology officer, Corteva . “[A] key skill is being able to hold two divergent thoughts and approaches in your brain and in your team at the same time. The great companies will be ambidextrous innovators, able to disrupt themselves in the future while serving the core [business] today.”
Anjali Sud, CEO, Vimeo . “What keeps me up at night is execution and, within that, focus. Because when you are in a market like ours, at a time like now, the opportunity is huge. We are this nimble, fast-growing, fast-moving company, and everywhere I look I see opportunity. But am I providing enough focus for my teams so that we can truly be great at something? You don’t want to miss a big boat, and it’s hard sometimes to say no to valid, exciting ideas that could be transformative.”

For more in-depth exploration of these topics, see McKinsey’s insights on Strategy & Corporate Finance . Learn more about McKinsey’s Growth & Innovation work—and check out innovation-related job opportunities if you’re interested in working at McKinsey.

Articles referenced include:

“ Fear factor: Overcoming human barriers to innovation ,” June 3, 2022, Laura Furstenthal , Alex Morris, and Erik Roth
“ Innovation—the launchpad out of crisis ,” September 15, 2021, Laura Furstenthal and Erik Roth
“ The innovation commitment ,” October 24, 2019, Daniel Cohen, Brian Quinn, and Erik Roth
“ Fielding high-performing innovation teams ,” January 17, 2019, Matt Banholzer , Fabian Metzeler, and Erik Roth
“ Taking the measure of innovation ,” April 20, 2018, Guttorm Aase, Erik Roth , and Sri Swaminathan
“ The eight essentials of innovation ,” April 1, 2015, Marc de Jong , Nathan Marston, and Erik Roth

Want to know more about innovation?

Fear factor: Overcoming human barriers to innovation

The innovation commitment

The eight essentials of innovation

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How do my kidneys work, how does blood flow through my kidneys, clinical trials.

The kidneys are two bean-shaped organs, each about the size of a fist. They are located just below the rib cage, one on each side of your spine.

Healthy kidneys filter about a half cup of blood every minute, removing wastes and extra water to make urine . The urine flows from the kidneys to the bladder through two thin tubes of muscle called ureters, one on each side of your bladder. Your bladder stores urine. Your kidneys, ureters, and bladder are part of your urinary tract .

The urinary tract, showing the kidneys, ureters, bladder, and urethra.

Your kidneys remove wastes and extra fluid from your body. Your kidneys also remove acid that is produced by the cells of your body and maintain a healthy balance of water, salts, and minerals—such as sodium , calcium , phosphorus , and potassium —in your blood.

Without this balance, nerves, muscles, and other tissues in your body may not work normally.

Your kidneys also make hormones that help

control your blood pressure
make red blood cells
keep your bones strong and healthy

Watch a video about what the kidneys do .

Each of your kidneys is made up of about a million filtering units called nephrons. Each nephron includes a filter, called the glomerulus , and a tubule . The nephrons work through a two-step process: the glomerulus filters your blood, and the tubule returns needed substances to your blood and removes wastes.

Drawing of a nephron showing that a blood vessel from the renal artery leads to the glomerulus before branching across the u-shaped tubule and leading to the renal vein.

The glomerulus filters your blood

As blood flows into each nephron, it enters a cluster of tiny blood vessels—the glomerulus. The thin walls of the glomerulus allow smaller molecules, wastes, and fluid—mostly water—to pass into the tubule. Larger molecules, such as proteins and blood cells, stay in the blood vessel.

The tubule returns needed substances to your blood and removes wastes

A blood vessel runs alongside the tubule. As the filtered fluid moves along the tubule, the blood vessel reabsorbs almost all of the water, along with minerals and nutrients your body needs. The tubule helps remove excess acid from the blood. The remaining fluid and wastes in the tubule become urine.

Blood flows into your kidney through the renal artery . This large blood vessel branches into smaller and smaller blood vessels until the blood reaches the nephrons. In the nephron, your blood is filtered by the tiny blood vessels of the glomeruli and then flows out of your kidney through the renal vein.

Your blood circulates through your kidneys many times a day. In a single day, your kidneys filter about 150 quarts of blood. Most of the water and other substances that filter through your glomeruli are returned to your blood by the tubules. Only 1 to 2 quarts become urine. Children produce less urine than adults, and the amount produced depends on their age.

A human kidney, with arrows showing where unfiltered blood enters the kidney and filtered blood leaves the kidney. Wastes and extra water leave the kidney through the ureter to the bladder as urine.

The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) and other components of the National Institutes of Health (NIH) conduct and support research into many diseases and conditions.

What are clinical trials, and are they right for you?

Clinical trials are part of clinical research and at the heart of all medical advances. Clinical trials look at new ways to prevent, detect, or treat disease. Researchers also use clinical trials to look at other aspects of care, such as improving the quality of life for people with chronic illnesses. Find out if clinical trials are right for you .

What clinical trials are open?

Clinical trials that are currently open and are recruiting can be viewed at www.ClinicalTrials.gov .

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Cultural Issues and the 2024 Election

Immigration, gender identity, racial diversity and views of a changing society

Table of contents.

Voters’ views about race and society, the impact of the legacy of slavery
Most voters, but not all, view the nation’s diversity as a strength
How should the country handle undocumented immigrants currently in the U.S.?
Attitudes toward hearing other languages in public places
Biden and Trump supporters’ views about discussing America’s historical successes, failures
How does the U.S. compare with other countries?
Views of women’s progress
How much of a priority should marriage and children be?
Abortion, IVF access and birth control
Views of gender identity
Voters’ attitudes toward use of gender-neutral pronouns
Societal impact of more social acceptance of lesbian, gay, bisexual people
Religion and government policy
How much influence should the Bible have on the nation’s laws, if any?
Views on the federal government’s role in promoting Christian values
Most voters say it is not necessary to believe in God to be moral
Is the justice system too tough on criminals, or not tough enough?
Policing and law enforcement
How Trump, Biden supporters view gun rights and ownership
Views on the increasing number of guns in the U.S.
Acknowledgments
The American Trends Panel survey methodology

Pew Research Center conducted this study to understand voters’ political values related to cultural issues in the context of the 2024 election. For this analysis, we surveyed 8,709 adults, including 7,166 registered voters, from April 8 to 14, 2024. Everyone who took part in this survey is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way 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 the report and its methodology .

The 2024 presidential campaign is taking place amid intense debates over such topics as immigration, growing racial and ethnic diversity in the United States, the changing American family, crime and reproductive issues.

Chart shows Wide differences between Biden and Trump supporters on key cultural issues in the presidential campaign

These topics sometimes are grouped together as “culture war” or “woke” issues.

On most – but not all – of these topics, voters who support President Joe Biden and former President Donald Trump have starkly different opinions. Yet in many cases, Biden and Trump supporters are themselves sharply divided.

Across more than 30 measures, some of the widest differences are on issues that have divided Americans for decades: the role of guns in society, as well as race and the legacy of slavery.

Yet, Biden and Trump supporters also have very different opinions across many other topics likely to be focal points in the campaign: gender identity and sexual orientation, crime and policing, reproductive issues, the influence of religion on society and the changes that have transformed life in the U.S. in recent decades.

A new survey by Pew Research Center of 8,709 adults – including 7,166 registered voters – conducted April 8-14, 2024, examines the political values of the Biden and Trump coalitions that underlie policy attitudes in many of these areas.

Among the major findings:

Enduring divisions on race and the legacy of slavery. Just 27% of registered voters who support Trump say the legacy of slavery affects the position of Black people in America today a great deal or fair amount; 73% say it has little or no impact.

Opinions among Biden supporters are nearly the opposite: 79% say slavery’s legacy still affects the position of Black people, while 20% say it has not too much or no effect.

Wide gaps on gender identity and same-sex marriage. While Americans have complex opinions on gender identity and transgender rights , a growing share of voters (65%) say that whether a person is a man or woman is determined by the sex they were assigned at birth. About a third (34%) say someone can be a man or woman, even if that differs from their sex at birth.

Nearly all Trump supporters (90%) say gender is determined by sex at birth. By contrast, Biden supporters are more divided. About six-in-ten (59%) say gender can be different from sex at birth; 39% say gender is determined by sex at birth.
Nearly a decade after the Supreme Court legalized same-sex marriage , Biden and Trump supporters have starkly different views of the impact of that historic ruling. Biden supporters are about five times as likely (57%) as Trump supporters (11%) to say legalization of same-sex marriage is good for society.

Chart shows Sharp divide between Biden and Trump supporters over the need to deport undocumented immigrants in the U.S.

Most Trump voters now favor a “national effort to deport” all those in the U.S. illegally. Opposition to allowing undocumented immigrants to stay in the country legally if they meet certain requirements has risen in recent years, driven largely by Republican and Republican-leaning registered voters.

Nearly two-thirds of Trump backers (63%) support a national effort to deport all those in the country illegally, compared with just 11% of Biden supporters.

Chart shows How Biden and Trump supporters view legal abortion, access to contraception

Divided views of the criminal justice system. A majority of voters (61%) say the criminal justice system is generally “not tough enough on criminals.” Just 13% say the system is too tough, while 25% say it treats criminals about right.

Trump supporters (81%) are about twice as likely as Biden supporters (40%) to say the criminal justice system is not tough enough on criminals.
Yet, there are much narrower differences in several priorities for the police and law enforcement: Overwhelming majorities of Biden and Trump supporters say it is extremely or very important for police and law enforcement to keep communities safe and to treat people of all racial and ethnic groups equally.

The changing American family. The structure of American family is very different than it was 40 or 50 years ago . Biden and Trump supporters view these changes very differently:

Roughly three times as many Trump supporters as Biden supporters say society is better if people prioritize marriage and family (59% vs. 19%).
And Trump supporters are far more likely to take a negative view of the nation’s falling birth rate: 47% say people having fewer children is a bad thing, compared with 23% of Biden supporters.

Divisions on abortion, more agreement on availability of contraceptives. Since the Supreme Court’s 2022 decision overturning Roe v. Wade, which guaranteed a right to abortion, support for legal abortion has ticked up in both parties.

Today, 88% of Biden supporters say abortion should be legal in all or most cases; 38% of Trump supporters say the same.

By contrast, voters – including large majorities of both candidates’ supporters – overwhelmingly say the wide availability of birth control pills, condoms and other forms of contraception is good for society.

Broad support among voters for discussing America’s historical successes – and its flaws. The survey finds that while Biden and Trump supporters have profoundly different attitudes on many cultural issues, they mostly support the discussion of America’s historical successes, as well as its flaws.

Nearly identical shares of Biden (74%) and Trump supporters (71%) say it is extremely or very important to have public discussions about the country’s historical successes and strengths.
78% of Biden supporters and 60% of Trump supporters say it is at least very important to have public discussions about the country’s failures and flaws.

Chart shows Most Biden and Trump supporters express positive views of more people openly discussing mental health

Voters are very positive about more open discussions of mental health. More than eight-in-ten voters (87%) say that more people openly discussing mental health and well-being is good for society. This includes large majorities of both Biden (94% good thing) and Trump supporters (79%).

Related: Who do Americans feel comfortable talking to about their mental health?

There is broad skepticism about the increased use of artificial intelligence (AI) in daily life. More than half of voters (55%) say this is bad for society, while 21% see this as a good thing (24% say it is neither good nor bad). There are only modest differences in these views between Trump supporters (59% say this is bad for society) and Biden supporters (51%).

Related: Growing public concern about the role of artificial intelligence in everyday life

Voters’ comfort level with some common – and less common – experiences

To some extent, voters’ political values are reflected in whether or not they’re comfortable with fairly common experiences.

Chart shows Voters’ comfort level with some common experiences, including prayer and pronouns

A large share of voters (80%), including sizable majorities of Biden and Trump supporters, say they are comfortable with someone they don’t know saying they will keep them in their prayers.

Most women in opposite-sex marriages continue to take their husbands’ last names when they marry. Still, three-quarters of voters say they are comfortable with women not taking their husbands names.

Trump supporters are less comfortable than Biden supporters with women not taking their husbands’ last names. And among men who support the former president, 44% are uncomfortable with this practice, compared with 29% of women who support Trump.

There is a wider gap between Biden and Trump voters in comfort with people speaking a language other than English in public places in their communities. More than eight-in-ten Biden supporters (83%) are comfortable hearing languages other than English, compared with a narrow majority of Trump supporters (54%).

And, reflecting the wide divide between the two sides in opinions on transgender issues, just 20% of Trump supporters say they are comfortable with someone using “they/them” instead of “he” or “she” to describe themselves. More than three times as many Biden supporters (66%) – including 79% of Biden supporters under age 50 – say they are comfortable with the use of these gender-neutral pronouns.

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More than half of Americans are following election news closely, and many are already worn out

Americans have mixed views about how the news media cover biden’s, trump’s ages, an early look at black voters’ views on biden, trump and election 2024, voters’ views of trump and biden differ sharply by religion, in tight presidential race, voters are broadly critical of both biden and trump, most popular, report materials.

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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 .

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