Research and Its Importance for Daily Life Essay

  • To find inspiration for your paper and overcome writer’s block
  • As a source of information (ensure proper referencing)
  • As a template for you assignment

Introduction

Impact of research, qualities of effective research, role of beliefs and values.

Research plays an important role in science. This is normally done to obtain detailed knowledge about certain aspects before an invention. Scientific research involves the study of diseases and other parameters to invent medicine and vaccines. Therefore, without research, there will be no inventions and therefore a big blow to health. Essentially research fulfils purposes that are designed before the exercise. However, apart from that, research has other implications on reality and daily lives. As a result, the effects of research go beyond the purpose it is meant for. This paper aims to take an analytical look at the concept of research. The paper will begin with a detailed look at the concept of research. Thereafter, the several similarities between different aspects of research will be analyzed. The impact of research on our daily life will also be reviewed.

Research has a lot of impact on the daily functioning of life. First and foremost, research leads to a better life by producing results that can be used to make life better. Especially as far as scientific research is concerned, the invention of vaccines and medicines makes diseases to be less of a threat to society (Calderon & Slavin 2001). Therefore, through the process of research, various methods of handling life’s problems and making the world a better place to live in are facilitated. Secondly, the very process of research affects society in several ways. The impact of the process of research has two dimensions.

The first part is the negative part in which the process of research has certain consequences for society. Unethical practices harm society. Since research is done on people in society, the practices adopted by the researchers have a lot of impacts. Scientific research has left some people with serious illnesses and injuries sometimes; it is like experimenting with people’s life. However, the process of research also has positive effects on society (McGill 1981). This is mainly because of employment opportunities, awareness and education. Research offers vast opportunities to the members of society to learn and obtain understanding about certain issues. At the same time, the participants of the research are remunerated making them earn a living from the same.

Several factors denote effective and valid research. To conduct valid or effective research, therefore, several considerations must be in place. First is the aspect of ethics, for research to be valid it must be conducted ethically. This involves the practices adopted for the research (Cresswell 2003). If the research involves risks, this must be communicated to the participants in advance. At the same time plans must be in place to compensate all those that will be affected in the course of the research. The disbursing of information is necessary before the research. This is important to take care of deception which is rampant in research. In general, proper preparation and education of the participants is the key to successful research. Another crucial requirement is the availability of resources for research.

Several forms of research involve a different processes. As a result, not all forms of research involve vigour. For instance, scientific research on diseases is more demanding than research on recreational issues. This is due to the context of the studies and the parameters involved. For instance, scientific research involves several processes and procedures which tend to take more resources. Recreational issues, on the other hand, are less involved due to the nature of the subject. The research can therefore be conducted with much ease.

Beliefs and values have a lot of impact on the process of research. People’s beliefs, therefore, influence the outcome and process of research. This is due to the relevance that beliefs and values have on people’s perception and philosophy of life. For instance, certain topics are considered sacred and secret in certain societies (Bryant 2005). Their beliefs don’t allow them to discuss certain things. Therefore in the process of collecting information from such people, it becomes very difficult to deal with them. People’s values also play a huge role. Some people are flexible in certain areas than others. Therefore, when conducting research one must understand the values of all participants. This is because their values determine how they approach certain issues. Religion plays a great role in determining the beliefs and values of people.

Research is part and parcel of life, in fact without research life will not be as it is. To live better life research is necessary; this is because research leads to innovation and invention. As far as science is concerned research leads to the invention of vaccines and drugs. Other areas of research also lead to a better understanding of the concepts involved. However, it is not only the results of research that benefit society but also the process of research. Some several opportunities and benefits that come with the process of research. As a result, the role of research in society goes beyond its real purpose. For research to be effective and valid several factors must be considered. Chief among them is the aspect of ethics. Different forms of research involve different forms of approaches. As a result, certain forms of research are more demanding than others. The influence of values and beliefs is notable as far as research is concerned. The paper has discussed the concept of research in detail. The process and impact of research have also been discussed.

Bryant, M. (2005). Managing an Effective and Ethical Research Project . London: Berrett-Koehler Publishers.

Calderon, M. & Slavin, R. (2001). Effective programs for Latino students. New York: Routledge.

Cresswell, J. (2003). Research design: qualitative, quantitative, and mixed-method approaches. New York: SAGE.

McGill, N. (1981). Effective research: a handbook for health planners. Washington: Institute for Health Planning.

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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.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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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essay about why research is important

4 Research Essay

Jeffrey Kessler

By the end of this chapter, you will be able to do the following:

  • Construct a thesis based upon your research
  • Use critical reading strategies to analyze your research
  • Defend a position in relation to the range of ideas surrounding a topic
  • Organize your research essay in order to logically support your thesis

I. Introduction

The goal of this book has been to help demystify research and inquiry through a series of genres that are part of the research process. Each of these writing projects—the annotated bibliography, proposal, literature review, and research essay—builds on each other. Research is an ongoing and evolving process, and each of these projects help you build towards the next.

In your annotated bibliography, you started your inquiry into a topic, reading widely to define the breadth of your inquiry. You recorded this by summarizing and/or evaluating  the first sources you examined. In your proposal, you organized a plan and developed pointed questions to pursue and ideas to research. This provided a good sense of where you might continue to explore. In your literature review, you developed a sense of the larger conversations around your topic and assessed the state of existing research. During each of these writing projects, your knowledge of your topic grew, and you became much more informed about its key issues.

You’ve established a topic and assembled sources in conversation with one another. It’s now time to contribute to that conversation with your own voice. With so much of your research complete, you can now turn your focus to crafting a strong research essay with a clear thesis. Having the extensive knowledge that you have developed across the first three writing projects will allow you to think more about putting the pieces of your research together, rather than trying to do research at the same time that you are writing.

This doesn’t mean that you won’t need to do a little more research. Instead, you might need to focus strategically on one or two key pieces of information to advance your argument, rather than trying to learn about the basics of your topic.

But what about a thesis or argument? You may have developed a clear idea early in the process, or you might have slowly come across an important claim you want to defend or a critique you want to make as you read more into your topic. You might still not be sure what you want to argue. No matter where you are, this chapter will help you navigate the genre of the research essay. We’ll examine the basics of a good thesis and argument, different ways to use sources, and strategies to organize your essay.

While this chapter will focus on the kind of research essay you would write in the college classroom, the skills are broadly applicable. Research takes many different forms in the academic, professional, and public worlds. Depending on the course or discipline, research can mean a semester-long project for a class or a few years’ worth of research for an advanced degree. As you’ll see in the examples below, research can consist of a brief, two-page conclusion or a government report that spans hundreds of pages with an overwhelming amount of original data.

Above all else, good research is engaged with its audience to bring new ideas to light based on existing conversations. A good research essay uses the research of others to advance the conversation around the topic based on relevant facts, analysis, and ideas.

II. Rhetorical Considerations: Contributing to the Conversation

The word “essay” comes from the French word essayer , or “attempt.” In other words, an essay is an attempt—to prove or know or illustrate something. Through writing an essay, your ideas will evolve as you attempt to explore and think through complicated ideas. Some essays are more exploratory or creative, while some are straightforward reports about the kind of original research that happens in laboratories.

Most research essays attempt to argue a point about the material, information, and data that you have collected. That research can come from fieldwork, laboratories, archives, interviews, data mining, or just a lot of reading. No matter the sources you use, the thesis of a research essay is grounded in evidence that is compelling to the reader.

Where you described the conversation in your literature review, in your research essay you are contributing to that conversation with your own argument. Your argument doesn’t have to be an argument in the cable-news-social-media-shouting sense of the word. It doesn’t have to be something that immediately polarizes individuals or divides an issue into black or white. Instead, an argument for a research essay should be a claim, or, more specifically, a claim that requires evidence and analysis to support. This can take many different forms.

Example 4.1: Here are some different types of arguments you might see in a research essay:

  • Critiquing a specific idea within a field
  • Interrogating an assumption many people hold about an issue
  • Examining the cause of an existing problem
  • Identifying the effects of a proposed program, law, or concept
  • Assessing a historical event in a new way
  • Using a new method to evaluate a text or phenomenon
  • Proposing a new solution to an existing problem
  • Evaluating an existing solution and suggesting improvements

These are only a few examples of the kinds of approaches your argument might take. As you look at the research you have gathered throughout your projects, your ideas will have evolved. This is a natural part of the research process. If you had a fully formed argument before you did any research, then you probably didn’t have an argument based on strong evidence. Your research now informs your position and understanding, allowing you to form a stronger evidence-based argument.

Having a good idea about your thesis and your approach is an important step, but getting the general idea into specific words can be a challenge on its own. This is one of the most common challenges in writing: “I know what I want to say; I just don’t know how to say it.”

Example 4.2: Here are some sample thesis statements. Examine them and think about their arguments.

Whether you agree, disagree, or are just plain unsure about them, you can imagine that these statements require their authors to present evidence, offer context, and explain key details in order to argue their point.

  • Artificial intelligence (AI) has the ability to greatly expand the methods and content of higher education, and though there are some transient shortcomings, faculty in STEM should embrace AI as a positive change to the system of student learning. In particular, AI can prove to close the achievement gap often found in larger lecture settings by providing more custom student support.
  • I argue that while the current situation for undocumented college students remains tumultuous, there are multiple routes—through financial and social support programs like the Fearless Undocumented Alliance—that both universities and colleges can utilize to support students affected by the reality of DACA’s shortcomings.

While it can be argued that massive reform of the NCAA’s bylaws is needed in the long run, one possible immediate improvement exists in the form of student-athlete name, image, and likeness rights. The NCAA should amend their long-standing definition of amateurism and allow student athletes to pursue financial gains from the use of their names, images, and likenesses, as is the case with amateur Olympic athletes.

Each of these thesis statements identifies a critical conversation around a topic and establishes a position that needs evidence for further support. They each offer a lot to consider, and, as sentences, are constructed in different ways.

Some writing textbooks, like They Say, I Say (2017), offer convenient templates in which to fit your thesis. For example, it suggests a list of sentence constructions like “Although some critics argue X, I will argue Y” and “If we are right to assume X, then we must consider the consequences of Y.”

More Resources 4.1: Templates

Templates can be a productive start for your ideas, but depending on the writing situation (and depending on your audience), you may want to expand your thesis beyond a single sentence (like the examples above) or template. According to Amy Guptill in her book Writing in Col lege (2016) , a good thesis has four main elements (pp. 21-22). A good thesis:

  • Makes a non-obvious claim
  • Poses something arguable
  • Provides well-specified details
  • Includes broader implications

Consider the sample thesis statements above. Each one provides a claim that is both non-obvious and arguable. In other words, they present something that needs further evidence to support—that’s where all your research is going to come in. In addition, each thesis identifies specifics, whether these are teaching methods, support programs, or policies. As you will see, when you include those specifics in a thesis statement, they help project a starting point towards organizing your essay.

Finally, according to Guptill, a good thesis includes broader implications. A good thesis not only engages the specific details of its argument, but also leaves room for further consideration. As we have discussed before, research takes place in an ongoing conversation. Your well-developed essay and hard work won’t be the final word on this topic, but one of many contributions among other scholars and writers. It would be impossible to solve every single issue surrounding your topic, but a strong thesis helps us think about the larger picture. Here’s Guptill:

Putting your claims in their broader context makes them more interesting to your reader and more impressive to your professors who, after all, assign topics that they think have enduring significance. Finding that significance for yourself makes the most of both your paper and your learning. (p. 23)

Thinking about the broader implications will also help you write a conclusion that is better than just repeating your thesis (we’ll discuss this more below).

Example 4.3: Let’s look at an example from above:

This thesis makes a key claim about the rights of student athletes (in fact, shortly after this paper was written, NCAA athletes became eligible to profit from their own name, image, and likeness). It provides specific details, rather than just suggesting that student athletes should be able to make money. Furthermore, it provides broader context, even giving a possible model—Olympic athletes—to build an arguable case.

Remember, that just like your entire research project, your thesis will evolve as you write. Don’t be afraid to change some key terms or move some phrases and clauses around to play with the emphasis in your thesis. In fact, doing so implies that you have allowed the research to inform your position.

Example 4.4: Consider these examples about the same topic and general idea. How does playing around with organization shade the argument differently?

  • Although William Dowling’s amateur college sports model reminds us that the real stakeholders are the student athletes themselves, he highlights that the true power over student athletes comes from the athletic directors, TV networks, and coaches who care more about profits than people.
  • While William Dowling’s amateur college sports model reminds us that the real stakeholders in college athletics are not the athletic directors, TV networks, and coaches, but the students themselves, his plan does not seem feasible because it eliminates the reason many people care about student athletes in the first place: highly lucrative bowl games and March Madness.
  • Although William Dowling’s amateur college sports model has student athletes’ best interests in mind, his proposal remains unfeasible because financial stakeholders in college athletics, like athletic directors, TV networks, and coaches, refuse to let go of their power.

When you look at the different versions of the thesis statements above, the general ideas remain the same, but you can imagine how they might unfold differently in a paper, and even  how those papers might be structured differently. Even after you have a good version of your thesis, consider how it might evolve by moving ideas around or changing emphasis as you outline and draft your paper.

More Resources 4.2: Thesis Statements

Looking for some additional help on thesis statements? Try these resources:

  • How to Write a Thesis Statement
  • Writing Effective Thesis Statements. 

Library Referral: Your Voice Matters!

(by Annie R. Armstrong)

If you’re embarking on your first major college research paper, you might be concerned about “getting it right.” How can you possibly jump into a conversation with the authors of books, articles, and more, who are seasoned experts in their topics and disciplines? The way they write might seem advanced, confusing, academic, irritating, and even alienating. Try not to get discouraged. There are techniques for working with scholarly sources to break them down and make them easier to work with (see How to Read a Scholarly Article ). A librarian can work with you to help you find a variety of source types that address your topic in a meaningful way, or that one specific source you may still be trying to track down.

Furthermore, scholarly experts are not the only voices welcome at the research table! This research paper and others to come are an invitation to you to join the conversation; your voice and lived experience give you one-of-a-kind expertise equipping you to make new inquiries and insights into your topic. Sure, you’ll need to wrestle how to interpret difficult academic texts and how to piece them together. That said, your voice is an integral and essential part of the puzzle. All of those scholarly experts started closer to where you are than you might think.

III. The Research Essay Across the Disciplines

Example 4.5: Academic and Professional Examples

These examples are meant to show you how this genre looks in other disciplines and professions. Make sure to follow the requirements for your own class or to seek out specific examples from your instructor in order to address the needs of your own assignment.

As you will see, different disciplines use language very differently, including citation practices, use of footnotes and endnotes, and in-text references. (Review Chapter 3 for citation practices as disciplinary conventions.) You may find some STEM research to be almost unreadable, unless you are already an expert in that field and have a highly developed knowledge of the key terms and ideas in that field. STEM fields often rely on highly technical language and assume a high level of knowledge in the field. Similarly, humanities research can be hard to navigate if you don’t have a significant background in the topic or material.

As we’ve discussed, highly specialized research assumes its readers are other highly specialized researchers. Unless you read something like The Journ al of American Medicine on a regular basis, you usually learn about scientific or medical breakthroughs when they are reported by another news outlet, where a reporter makes the highly technical language of a scientific discovery more accessible for non-specialists.

Even if you are not an expert in multiple disciplines of study, you will find that research essays contain a lot of similarities in their structure and organization. Most research essays have an abstract that summarizes the entire article at the beginning. Introductions provide the necessary setup for the article. Body sections can vary. Some essays include a literature review section that describes the state of research about the topic. Others might provide background or a brief history. Many essays in the sciences will have a methodology section that explains how the research was conducted, including details such as lab procedures, sample sizes, control populations, conditions, and survey questions. Others include long analyses of primary sources, sets of data, or archival documents. Most essays end with conclusions about what further research needs to be completed or what their research further implies.

As you examine some of the different examples, look at the variations in arguments and structures. Just as in reading research about your own topic, you don’t need to read each essay from start to finish. Browse through different sections and see the different uses of language and organization that are possible.

IV. Research Strategies: When is Enough?

At this point, you know a lot about your topic. You’ve done a lot of research to complete your first three writing projects, but when do you have enough sources and information to start writing? Really, it depends.

If you’re writing a dissertation, you may have spent months or years doing research and still feel like you need to do more or to wait a few months until that next new study is published. If you’re writing a research essay for a class, you probably have a schedule of due dates for drafts and workshops. Either way, it’s better to start drafting sooner rather than later. Part of doing research is trying on ideas and discovering things throughout the drafting process.

That’s why you’ve written the other projects along the way instead of just starting with a research essay. You’ve built a foundation of strong research to read about your topic in the annotated bibliography, planned your research in the proposal, and understood the conversations around your topic in the literature review. Now that you are working on your research essay, you are far enough along in the research process where you might need a few more sources, but you will most likely discover this as you are drafting your essay. In other words, get writing and trust that you’ll discover what you need along the way.

V. Reading Strategies: Forwarding and Countering

Using sources is necessary to a research essay, and it is essential to think about how you use them. At this point in your research, you have read, summarized, analyzed, and made connections across many sources. Think back to the literature review. In that genre, you used your sources to illustrate the major issues, topics, and/or concerns among your research. You used those sources to describe and make connections between them.

For your research essay, you are putting those sources to work in a different way: using them in service of supporting your own contribution to the conversation. According to Joseph Harris in his book Rewriting (2017), we read texts in order to respond to them: “drawing from, commenting on, adding to […] the works of others” (p. 2). The act of writing, according to Harris, takes place among the different texts we read and the ways we use them for our own projects. Whether a source provides factual information or complicated concepts, we use sources in different ways. Two key ways to do so for Harris are forwarding and countering .

Forwarding a text means taking the original concept or idea and applying it to a new context. Harris writes: “In forwarding a text you test the strength of its insights and the range and flexibility of its phrasings. You rewrite it through reusing some of its key concepts and phrasings” (pp. 38-39). This is common in a lot of research essays. In fact, Harris identifies different types of forwarding:

  • Illustrating: using a source to explain a larger point
  • Authorizing: appealing to another source for credibility
  • Borrowing: taking a term or concept from one context or discipline and using it in a new one
  • Extending: expanding upon a source or its implications

It’s not enough in a research essay to include just sources with which you agree. Countering a text means more than just disagreeing with it, but it allows you to do more with a text that might not initially support your argument. This can include for Harris:

  • Arguing the other side: oftentimes called “including a naysayer” or addressing objections
  • Uncovering values: examining assumptions within the text that might prove problematic or reveal interesting insights
  • Dissenting: finding the problems in or the limits of an argument (p. 58)

While the categories above are merely suggestions, it is worth taking a moment to think a little more about sources with which you might disagree. The whole point of an argument is to offer a claim that needs to be proved and/or defended. Essential to this is addressing possible objections. What might be some of the doubts your reader may have? What questions might a reasonable person have about your argument? You will never convince every single person, but by addressing and acknowledging possible objections, you help build the credibility of your argument by showing how your own voice fits into the larger conversation—if other members of that conversation may disagree.

VI. Writing Strategies: Organizing and Outlining

At this point you likely have a draft of a thesis (or the beginnings of one) and a lot of research, notes, and three writing projects about your topic. How do you get from all of this material to a coherent research essay? The following section will offer a few different ideas about organizing your essay. Depending on your topic, discipline, or assignment, you might need to make some necessary adjustments along the way, depending on your audience. Consider these more as suggestions and prompts to help in the writing and drafting of your research essay.

Sometimes, we tend to turn our research essay into an enthusiastic book report: “Here are all the cool things I read about my topic this semester!” When you’ve spent a long time reading and thinking about a topic, you may feel compelled to include every piece of information you’ve found. This can quickly overwhelm your audience. Other times, we as writers may feel so overwhelmed with all of the things we want to say that we don’t know where to start.

Writers don’t all follow the same processes or strategies. What works for one person may not always work for another, and what worked in one writing situation (or class) may not be as successful in another. Regardless, it’s important to have a plan and to follow a few strategies to get writing. The suggestions below can help get you organized and writing quickly. If you’ve never tried some of these strategies before, it’s worth seeing how they will work for you.

Think in Sections, Not Paragraphs

For smaller papers, you might think about what you want to say in each of the five to seven paragraphs that paper might require. Sometimes writing instructors even tell students what each paragraph should include. For longer essays, it’s much easier to think about a research essay in sections, or as a few connected short papers. In a short essay, you might need a paragraph to provide background information about your topic, but in longer essays—like the ones you have read for your project—you will likely find that you need more than a single paragraph, sometimes a few pages.

You might think about the different types of sections you have encountered in the research you have already gathered. Those types of sections might include: introduction, background, the history of an issue, literature review, causes, effects, solutions, analysis, limits, etc. When you consider possible sections for your paper, ask yourself, “What is the purpose of this section?” Then you can start to think about the best way to organize that information into paragraphs for each section.

Build an Outline

After you have developed what you want to argue with your thesis (or at least a general sense of it), consider how you want to argue it. You know that you need to begin with an introduction (more on that momentarily). Then you’ll likely need a few sections that help lead your reader through your argument.

Your outline can start simple. In what order are you going to divide up your main points? You can slowly build a larger outline to include where you will discuss key sources, as well as what are the main claims or ideas you want to present in each section. It’s much easier to move ideas and sources around when you have a larger structure in place.

Example 4.6: A Sample Outline for a Research Paper

  • College athletics is a central part of American culture
  • Few of its viewers fully understand the extent to which players are mistreated
  • Thesis: While William Dowling’s amateur col lege sports model does not seem feasible to implement in the twenty-first century, his proposal reminds us that the real stakeholders in college athletics are not the athletic directors, TV networks, and coaches, but the students themselves, who deserve th e chance to earn a quality education even more than the chance to play ball.
  • While many student athletes are strong students, many D-1 sports programs focus more on elite sports recruits than academic achievement
  • Quotes from coaches and athletic directors about revenue and building fan bases (ESPN)
  • Lowered admissions standards and fake classes (Sperber)
  • Scandals in academic dishonesty (Sperber and Dowling)
  • Some elite D-1 athletes are left in a worse place than where they began
  • Study about athletes who go pro (Knight Commission, Dowling, Cantral)
  • Few studies on after-effects (Knight Commission)
  • Dowling imagines an amateur sports program without recruitment, athletic scholarships, or TV contracts
  • Without the presence of big money contracts and recruitment, athletics programs would have less temptation to cheat in regards to academic dishonesty
  • Knight Commission Report
  • Is there any incentive for large-scale reform?
  • Is paying student athletes a real possibility?

Some writers don’t think in as linear a fashion as others, and starting with an outline might not be the first strategy to employ. Other writers rely on different organizational strategies, like mind mapping, word clouds, or a reverse outline.

More Resources 4.3: Organizing Strategies

At this point, it’s best to get some writing done, even if writing is just taking more notes and then organizing those notes. Here are a few more links to get your thoughts down in some fun and engaging ways:

  • Concept Mapping
  • The Mad Lib from Hell: Three Alternatives to Traditional Outlining
  • Thinking Outside the Formal Outline
  • Mind Mapping in Research
  • Reverse Outlining

Start Drafting in the Middle

This may sound odd to some people, but it’s much easier to get started by drafting sections from the middle of your paper instead of starting with the introduction. Sections that provide background or more factual information tend to be more straightforward to write. Sections like these can even be written as you are still finalizing your argument and organizational structure.

If you’ve completed the three previous writing projects, you will likely also funnel some of your work from those projects into the final essay. Don’t just cut and paste entire chunks of those other assignments. That’s called self-plagiarism, and since those assignments serve different purposes in different genres, they won’t fit naturally into your research essay. You’ll want to think about how you are using the sources and ideas from those assignments to serve the needs of your argument. For example, you may have found an interesting source for your literature review paper, but that source may not help advance your final paper.

Draft your Introduction and Conclusion towards the End

Your introduction and conclusion are the bookends of your research essay. They prepare your reader for what’s to come and help your reader process what they have just read. The introduction leads your reader into your paper’s research, and the conclusion helps them look outward towards its implications and significance.

Many students think you should write your introduction at the beginning of the drafting stage because that is where the paper starts. This is not always the best idea. An introduction provides a lot of essential information, including the paper’s method, context, organization, and main argument. You might not have all of these details figured out when you first start drafting your paper. If you wait until much later in the drafting stage, the introduction will be much easier to write. In fact, most academic writers and researchers wait until the rest of their project—a paper, dissertation, or book—is completed before they write the introduction.

A good introduction does not need to be long. In fact, short introductions can impressively communicate a lot of information about a paper when the reader is most receptive to new information. You don’t need to have a long hook or anecdote to catch the reader’s attention, and in many disciplines, big, broad openings are discouraged. Instead, a good introduction to a research essay usually does the following:

  • defines the scope of the paper
  • indicates its method or approach
  • gives some brief context (although more significant background may be saved for a separate section)
  • offers a road map

If we think about research as an ongoing conversation, you don’t need to think of your conclusion as the end—or just a repetition of your argument. No matter the topic, you won’t have the final word, and you’re not going to tie up a complicated issue neatly with a bow. As you reach the end of your project, your conclusion can be a good place to reflect about how your research contributes to the larger conversations around your issue.

Think of your conclusion as a place to consider big questions. How does your project address some of the larger issues related to your topic? How might the conversation continue? How might it have changed? You might also address limits to existing research. What else might your readers want to find out? What do we need to research or explore in the future?

You need not answer every question. You’ve contributed to the conversation around your topic, and this is your opportunity to reflect a little about that. Still looking for some additional strategies for introductions and conclusions? Try this additional resource:

More Resources 4.4: Introductions and Conclusions

If you’re a bit stuck on introductions and conclusions, check out these helpful links:

  • Introductions & Writing Effective Introductions
  • Guide to Writing Introductions and Conclusions
  • Conclusions & Writing Effective Conclusions

Putting It All Together

This chapter is meant to help you get all the pieces together. You have a strong foundation with your research and lots of strategies at your disposal. That doesn’t mean you might not still feel overwhelmed. Two useful strategies are making a schedule and writing out a checklist.

You likely have a due date for your final draft, and maybe some additional dates for submitting rough drafts or completing peer review workshops. Consider expanding this schedule for yourself. You might have specific days set aside for writing or for drafting a certain number of words or pages. You can also schedule times to visit office hours, the library, or the writing center (especially if your writing center takes appointments—they fill up quickly at the end of the semester!). The more you fill in specific dates and smaller goals, the more likely you will be to complete them. Even if you miss a day that you set aside to write four hundred words, it’s easier to make that up than saying you’ll write an entire draft over a weekend and not getting much done.

Another useful strategy is assembling a checklist, as you put together all the pieces from your research, citations, key quotes, data, and different sections. This allows you to track what you have done and what you still need to accomplish. You might review your assignment’s requirements and list them out so you know when you’ve hit the things like required sources or minimum length. It also helps remind you towards the end to review things like your works cited and any other key grammar and style issues you might want to revisit.

You’re much closer to completing everything than you think. You have all the research, you have all the pieces, and you have a good foundation. You’ve developed a level of understanding of the many sources you have gathered, along with the writing projects you have written. Time to put it all together and join the conversation.

Key Takeaways

  • Your research essay adds to the conversation surrounding your topic.
  • Begin drafting your essay and trust that your ideas will continue to develop and evolve.
  • As you assemble your essay, rely on what works for you, whether that is outlining, mindmapping, checklists, or anything else.
  • You have come far. The end is in sight.

Image shows a person walking up the stairs, believing they are far from the top. In the next frame it shows that they have travelled a long distance and are much closer to the top than they think.

Clemson Libaries. (2016). “Joining the (Scholarly) Conversation.”  YouTube . https://www.youtube.com/watch?v=79WmzNQvAZY

Fosslien, L. Remember how much progress you’ve made [Image].

Graff, G. & Birkenstein, C. (2017). They Say, I Say: The Moves that Matter in Academic Writing . W. W. Norton and Co.

Guptill, A. (2016). Constructing the Thesis and Argument—From the Ground Up : Writing in College . Open SUNY Textbooks.

Harris, Joseph. Rewriting: How to Do Things with Texts . Second Edition. Utah State University Press, 2017.

Writing for Inquiry and Research Copyright © 2023 by Jeffrey Kessler is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

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Relevance Of Research – Why Is It So Important?

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Research is a significant element in academia. It is a tool that helps us solve problems, make new discoveries, and understand the world better in general. During the research process , you can make a difference in people’s lives or in society. For this reason, students must complete research papers as part of any course in higher education. This article discusses the relevance of research in different fields of academic writing .

Inhaltsverzeichnis

  • 1 In a nutshell: Relevance of research
  • 2 Definition: Relevance of research
  • 3 How to conduct research
  • 4 Relevance of research in different courses
  • 5 Types of relevance in research
  • 6 Knowledge and learning
  • 7 Issues and public awareness
  • 8 A successful business
  • 9 Lies and truths
  • 10 Opportunities
  • 11 Information
  • 12 Relevance of research: Exercise for the mind

In a nutshell: Relevance of research

  • Many academic fields require students to conduct academic research as part of their studies. Overall, research is also applied heavily by students in learning and the academic writing process.
  • The key relevance of research in academia is that it allows students and researchers to find sources to make their arguments on a specific topic. Furthermore, most opinions are conceived through the research process.
  • Besides students, trained professionals also recognize the relevance of research.

Definition: Relevance of research

Relevance of research refers to the importance of research in various fields. Here are a few reasons why research is relevant:

  • It builds knowledge and promotes learning.
  • It helps to increase public awareness.
  • Research promotes success in business and other fields.
  • It encourages the disapproval of lies and supports facts and truths.
  • Research is a means for discovering opportunities and helps build credibility.
  • It promotes confidence and passion in reading, sharing information, analyzing, and writing.
  • Research nourishes and helps exercise the mind.

How to conduct research

The relevance of research is not a topic of debate. Therefore, students must learn how to research, so they can enjoy the benefits. The following steps explain how to conduct research.

  • Choosing a topic and identifying a problem: Firstly, you must come up with ideas and find a general area of interest. Once you are settled on a topic, you must determine an issue that needs to be addressed in the area and why it matters.
  • Formulating research questions and creating a research design: Next, you must create one or more research questions that target what you want to find out through your research. Additionally, create a practical framework for answering your research questions (research design).
  • Writing a research proposal: Finally, create a research proposal that outlines the relevance of the research, context, purpose, and your plan. From there, you can start searching for sources and gathering information for your research.

Relevance of research in different courses

The relevance of research stands out in different courses. For this reason, most courses encourage their students to apply research in their studies and academic writing. Universities encourage and engage in research as part of their mission to promote learning and discovery.

Let us look at the relevance of research in different courses:

Political science Research produces intellectualism. It shapes the goals and objectives of political aspirants and parties by providing new opportunities and avenues of exploration in politics.
Communication Research promotes truth-finding and discourages lies. It also helps provide practitioners and students in the communication and related field with relevant, comprehensive, and up-to-date information.
Biometry Research provides a better understanding of the subject and helps link it with others.
Clinical psychology Research is important in decision-making, like developing innovative psychological interventions and improving existing evidence-based treatments for mental health disorders.

Types of relevance in research

There are different forms of the relevance of research. Let us look at some of the key ones.

Academic relevance

Societal relevance, practical relevance, scientific relevance.

The academic relevance of research is perhaps the most critical. Research is critical in the promotion of academic knowledge of a subject. Moreover, research helps individuals meet their academic goals. Academic relevance comes from learned information, which is obtained through research.

The purpose of research extends beyond academia and has a significant impact on society. Research generates knowledge that aids in addressing real-world problems and making informed decisions. Research provides a more profound understanding of society and its functions.

The relevance of research is also important in everyday life. Research findings apply in real-life situations to various extents. For instance, research allows entrepreneurs to discover problems and wants in society, and the findings help resolve these problems. Researchers make recommendations for particular industries and promote improved processes in critical organizations.

Research allows practitioners in various fields of science to bridge the knowledge gap in various subjects. Research also helps scientists make new and significant discoveries that help advance different fields. Scientists need research to come up with life-changing inventions.

Knowledge and learning

Research helps facilitate knowledge acquisition and learning. Students, academics, professionals, and non-professionals depend on research as a tool for learning and understanding a subject better. Research also equips individuals with information about the world and skills for survival and life improvement.

Issues and public awareness

Research is a tool for understanding issues and raising public awareness. It helps people understand each other and their world. People use research to understand current issues.

A successful business

Research is critical for business success. Successful companies and individuals rely on market and client research. It helps them understand their clients, their needs, and how to provide them with what they need. Therefore, research helps with targeted marketing. It also helps businesses understand their competition and establish ways to stand out.

Lies and truths

Background research and private investigations are critical in debunking lies and promoting truths. Researchers apply field-testing and peer reviews to validate facts. Therefore, research builds integrity and competence in facts. Fact-checking helps discover research bias, fake news, and propaganda.

Opportunities

Research helps people find, gauge, and seize opportunities. Therefore, it helps individuals nurture their potential and achieve goals by taking advantage of opportunities. People can use research to maximize career options and investments.

Information

Research promotes a passion and love for reading, writing, analyzing, and sharing information. It is a tool for critical thinking and comprehension. Sharing research promotes a wider understanding of a subject.

Relevance of research: Exercise for the mind

Research nourishes and exercises the mind. Critical thinking is a tool for promoting mental health. Students earn critical reasoning skills from research, which helps with their learning. Various studies have proven that mentally stimulating activities like research can promote brain health.

What is the meaning of relevance in research?

The relevance of research is the understanding of how studying one thing can affect another. It is the extent to which a specific study or theory is significant.

What are the different types of relevance of research?

The various forms of the relevance of research are:

How does research promote mental health?

Research nourishes and exercises the mind. Critical thinking is a tool for promoting mental health. Students earn critical reasoning skills from research, which helps with their learning.

What is the scientific relevance of research?

Research allows practitioners in various fields of science to bridge the knowledge gap in various subjects. It helps scientists make new and significant discoveries that help advance different fields.

Amazing experience having my dissertation bound with them would highly...

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What Is Research, and Why Do People Do It?

  • Open Access
  • First Online: 03 December 2022

Cite this chapter

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essay about why research is important

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

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

19k Accesses

Abstractspiepr Abs1

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

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

Part I. What Is Research?

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

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

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

Exercise 1.1

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

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

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

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

An image of the book's description with the words like research, science, and inquiry and what the word research meant in the scientific world.

Exercise 1.2

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

Creating an Image of Scientific Inquiry

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

Descriptor 1. Experience Carefully Planned in Advance

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

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

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

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

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

An image represents the observation required in the scientific inquiry including planning and explaining.

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

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

An image represents the data explanation as it is not limited and takes numerous non-quantitative forms including an interview, journal entries, etc.

Exercise 1.3

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

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

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

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

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

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

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

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

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

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

Doing Scientific Inquiry

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

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

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

An image represents the scientific inquiry definition given by the editors of Britannica and also defines the hypothesis on the basis of the experiments.

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

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

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

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

Exercise 1.4

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

Unpacking the Terms Formulating, Testing, and Revising Hypotheses

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

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

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

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

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

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

An image represents the rationale and the prediction for the scientific inquiry and different types of information provided by the terms.

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

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

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

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

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

Exercise 1.5

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

Exercise 1.6

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

Learning from Doing Scientific Inquiry

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

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

An image represents the cycle of events that take place before making predictions, developing the rationale, and studying the prediction and rationale multiple times.

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

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

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

Part II. Why Do Educators Do Research?

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

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

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

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

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

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

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

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

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

Exercise 1.7

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

Part III. Conducting Research as a Practice of Failing Productively

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

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

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

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

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

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

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

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

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

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

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

Exercise 1.8

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

Exercise 1.9

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

Part IV. Preview of Chap. 2

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

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

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essay about why research is important

What is the importance of research in everyday life?

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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.

importance of research

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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Six Reasons Why Research is Important

Importance of internet Research

Everyone conducts research in some form or another from a young age, whether news, books, or browsing the Internet. Internet users come across thoughts, ideas, or perspectives - the curiosity that drives the desire to explore. However, when research is essential to make practical decisions, the nature of the study alters - it all depends on its application and purpose. For instance, skilled research offered as a  research paper service  has a definite objective, and it is focused and organized. Professional research helps derive inferences and conclusions from solving problems. visit the HB tool services for the amazing research tools that will help to solve your problems regarding the research on any project.

What is the Importance of Research?

The primary goal of the research is to guide action, gather evidence for theories, and contribute to the growth of knowledge in data analysis. This article discusses the importance of research and the multiple reasons why it is beneficial to everyone, not just students and scientists.

On the other hand, research is important in business decision-making because it can assist in making better decisions when combined with their experience and intuition.

Reasons for the Importance of Research

  • Acquire Knowledge Effectively
  • Research helps in problem-solving
  • Provides the latest information
  • Builds credibility
  • Helps in business success
  • Discover and Seize opportunities

1-  Acquire Knowledge Efficiently through Research

The most apparent reason to conduct research is to understand more. Even if you think you know everything there is to know about a subject, there is always more to learn. Research helps you expand on any prior knowledge you have of the subject. The research process creates new opportunities for learning and progress.

2- Research Helps in Problem-solving

Problem-solving can be divided into several components, which require knowledge and analysis, for example,  identification of issues, cause identification,  identifying potential solutions, decision to take action, monitoring and evaluation of activity and outcomes.

You may just require additional knowledge to formulate an informed strategy and make an informed decision. When you know you've gathered reliable data, you'll be a lot more confident in your answer.

3- Research Provides the Latest Information

Research enables you to seek out the most up-to-date facts. There is always new knowledge and discoveries in various sectors, particularly scientific ones. Staying updated keeps you from falling behind and providing inaccurate or incomplete information. You'll be better prepared to discuss a topic and build on ideas if you have the most up-to-date information. With the help of tools and certifications such as CIRS , you may learn internet research skills quickly and easily. Internet research can provide instant, global access to information.

4- Research Builds Credibility

Research provides a solid basis for formulating thoughts and views. You can speak confidently about something you know to be true. It's much more difficult for someone to find flaws in your arguments after you've finished your tasks. In your study, you should prioritize the most reputable sources. Your research should focus on the most reliable sources. You won't be credible if your "research" comprises non-experts' opinions. People are more inclined to pay attention if your research is excellent.

5-  Research Helps in Business Success

R&D might also help you gain a competitive advantage. Finding ways to make things run more smoothly and differentiate a company's products from those of its competitors can help to increase a company's market worth.

6-  Research Discover and Seize Opportunities

People can maximize their potential and achieve their goals through various opportunities provided by research. These include getting jobs, scholarships, educational subsidies, projects, commercial collaboration, and budgeted travel. Research is essential for anyone looking for work or a change of environment. Unemployed people will have a better chance of finding potential employers through job advertisements or agencies. 

How to Improve Your Research Skills

Start with the big picture and work your way down.

It might be hard to figure out where to start when you start researching. There's nothing wrong with a simple internet search to get you started. Online resources like Google and Wikipedia are a great way to get a general idea of a subject, even though they aren't always correct. They usually give a basic overview with a short history and any important points.

Identify Reliable Source

Not every source is reliable, so it's critical that you can tell the difference between the good ones and the bad ones. To find a reliable source, use your analytical and critical thinking skills and ask yourself the following questions: Is this source consistent with other sources I've discovered? Is the author a subject matter expert? Is there a conflict of interest in the author's point of view on this topic?

Validate Information from Various Sources

Take in new information.

The purpose of research is to find answers to your questions, not back up what you already assume. Only looking for confirmation is a minimal way to research because it forces you to pick and choose what information you get and stops you from getting the most accurate picture of the subject. When you do research, keep an open mind to learn as much as possible.

Facilitates Learning Process

Learning new things and implementing them in daily life can be frustrating. Finding relevant and credible information requires specialized training and web search skills due to the sheer enormity of the Internet and the rapid growth of indexed web pages. On the other hand, short courses and Certifications like CIRS make the research process more accessible. CIRS Certification offers complete knowledge from beginner to expert level. You can become a Certified Professional Researcher and get a high-paying job, but you'll also be much more efficient and skilled at filtering out reliable data. You can learn more about becoming a Certified Professional Researcher.

Stay Organized

You'll see a lot of different material during the process of gathering data, from web pages to PDFs to videos. You must keep all of this information organized in some way so that you don't lose anything or forget to mention something properly. There are many ways to keep your research project organized, but here are a few of the most common:  Learning Management Software , Bookmarks in your browser, index cards, and a bibliography that you can add to as you go are all excellent tools for writing.

Make Use of the library's Resources

If you still have questions about researching, don't worry—even if you're not a student performing academic or course-related research, there are many resources available to assist you. Many high school and university libraries, in reality, provide resources not only for staff and students but also for the general public. Look for research guidelines or access to specific databases on the library's website. Association of Internet Research Specialists enjoys sharing informational content such as research-related articles , research papers , specialized search engines list compiled from various sources, and contributions from our members and in-house experts.

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  • How to Do Research for an Excellent Essay: The Complete Guide

essay about why research is important

One of the biggest secrets to writing a good essay is the Boy Scouts’ motto: ‘be prepared’. Preparing for an essay – by conducting effective research – lays the foundations for a brilliant piece of writing, and it’s every bit as important as the actual writing part. Many students skimp on this crucial stage, or sit in the library not really sure where to start; and it shows in the quality of their essays. This just makes it easier for you to get ahead of your peers, and we’re going to show you how. In this article, we take you through what you need to do in order to conduct effective research and use your research time to best effect.

Allow enough time

First and foremost, it’s vital to allow enough time for your research. For this reason, don’t leave your essay until the last minute . If you start writing without having done adequate research, it will almost certainly show in your essay’s lack of quality. The amount of research time needed will vary according to whether you’re at Sixth Form or university, and according to how well you know the topic and what teaching you’ve had on it, but make sure you factor in more time than you think you’ll need. You may come across a concept that takes you longer to understand than you’d expected, so it’s better to allow too much time than too little.

Read the essay question and thoroughly understand it

If you don’t have a thorough understanding of what the essay question is asking you to do, you put yourself at risk of going in the wrong direction with your research. So take the question, read it several times and pull out the key things it’s asking you to do. The instructions in the question are likely to have some bearing on the nature of your research. If the question says “Compare”, for example, this will set you up for a particular kind of research, during which you’ll be looking specifically for points of comparison; if the question asks you to “Discuss”, your research focus may be more on finding different points of view and formulating your own.

Begin with a brainstorm

Start your research time by brainstorming what you already know. Doing this means that you can be clear about exactly what you’re already aware of, and you can identify the gaps in your knowledge so that you don’t end up wasting time by reading books that will tell you what you already know. This gives your research more of a direction and allows you to be more specific in your efforts to find out certain things. It’s also a gentle way of introducing yourself to the task and putting yourself in the right frame of mind for learning about the topic at hand.

Achieve a basic understanding before delving deeper

If the topic is new to you and your brainstorm has yielded few ideas, you’ll need to acquire a basic understanding of the topic before you begin delving deeper into your research. If you don’t, and you start by your research by jumping straight in at the deep end, as it were, you’ll struggle to grasp the topic. This also means that you may end up being too swayed by a certain source, as you haven’t the knowledge to question it properly. You need sufficient background knowledge to be able to take a critical approach to each of the sources you read. So, start from the very beginning. It’s ok to use Wikipedia or other online resources to give you an introduction to a topic, though bear in mind that these can’t be wholly relied upon. If you’ve covered the topic in class already, re-read the notes you made so that you can refresh your mind before you start further investigation.

Working through your reading list

If you’ve been given a reading list to work from, be organised in how you work through each of the items on it. Try to get hold of as many of the books on it as you can before you start, so that you have them all easily to hand, and can refer back to things you’ve read and compare them with other perspectives. Plan the order in which you’re going to work through them and try to allocate a specific amount of time to each of them; this ensures that you allow enough time to do each of them justice and that focus yourself on making the most of your time with each one. It’s a good idea to go for the more general resources before honing in on the finer points mentioned in more specialised literature. Think of an upside-down pyramid and how it starts off wide at the top and becomes gradually narrower; this is the sort of framework you should apply to your research.

Ask a librarian

Library computer databases can be confusing things, and can add an extra layer of stress and complexity to your research if you’re not used to using them. The librarian is there for a reason, so don’t be afraid to go and ask if you’re not sure where to find a particular book on your reading list. If you’re in need of somewhere to start, they should be able to point you in the direction of the relevant section of the library so that you can also browse for books that may yield useful information.

Use the index

If you haven’t been given specific pages to read in the books on your reading list, make use of the index (and/or table of contents) of each book to help you find relevant material. It sounds obvious, but some students don’t think to do this and battle their way through heaps of irrelevant chapters before finding something that will be useful for their essay.

Taking notes

As you work through your reading, take notes as you go along rather than hoping you’ll remember everything you’ve read. Don’t indiscriminately write down everything – only the bits that will be useful in answering the essay question you’ve been set. If you write down too much, you risk writing an essay that’s full of irrelevant material and getting lower grades as a result. Be concise, and summarise arguments in your own words when you make notes (this helps you learn it better, too, because you actually have to think about how best to summarise it). You may want to make use of small index cards to force you to be brief with what you write about each point or topic. We’ve covered effective note-taking extensively in another article, which you can read here. Note-taking is a major part of the research process, so don’t neglect it. Your notes don’t just come in useful in the short-term, for completing your essay, but they should also be helpful when it comes to revision time, so try to keep them organised.

Research every side of the argument

Never rely too heavily on one resource without referring to other possible opinions; it’s bad academic practice. You need to be able to give a balanced argument in an essay, and that means researching a range of perspectives on whatever problem you’re tackling. Keep a note of the different arguments, along with the evidence in support of or against each one, ready to be deployed into an essay structure that works logically through each one. If you see a scholar’s name cropping up again and again in what you read, it’s worth investigating more about them even if you haven’t specifically been told to do so. Context is vital in academia at any level, so influential figures are always worth knowing about.

Keep a dictionary by your side

You could completely misunderstand a point you read if you don’t know what one important word in the sentence means. For that reason, it’s a good idea to keep a dictionary by your side at all times as you conduct your research. Not only does this help you fully understand what you’re reading, but you also learn new words that you might be able to use in your forthcoming essay or a future one . Growing your vocabulary is never a waste of time!

Start formulating your own opinion

As you work through reading these different points of view, think carefully about what you’ve read and note your own response to different opinions. Get into the habit of questioning sources and make sure you’re not just repeating someone else’s opinion without challenging it. Does an opinion make sense? Does it have plenty of evidence to back it up? What are the counter-arguments, and on balance, which sways you more? Demonstrating your own intelligent thinking will set your essay apart from those of your peers, so think about these things as you conduct your research.

Be careful with web-based research

Although, as we’ve said already, it’s fine to use Wikipedia and other online resources to give you a bit of an introduction to a topic you haven’t covered before, be very careful when using the internet for researching an essay. Don’t take Wikipedia as gospel; don’t forget, anybody can edit it! We wouldn’t advise using the internet as the basis of your essay research – it’s simply not academically rigorous enough, and you don’t know how out of date a particular resource might be. Even if your Sixth Form teachers may not question where you picked up an idea you’ve discussed in your essays, it’s still not a good habit to get into and you’re unlikely to get away with it at a good university. That said, there are still reliable academic resources available via the internet; these can be found in dedicated sites that are essentially online libraries, such as JSTOR. These are likely to be a little too advanced if you’re still in Sixth Form, but you’ll almost certainly come across them once you get to university.

Look out for footnotes

In an academic publication, whether that’s a book or a journal article, footnotes are a great place to look for further ideas for publications that might yield useful information. Plenty can be hidden away in footnotes, and if a writer is disparaging or supporting the ideas of another academic, you could look up the text in question so that you can include their opinion too, and whether or not you agree with them, for extra brownie points.

Don’t save doing all your own references until last

If you’re still in Sixth Form, you might not yet be required to include academic references in your essays, but for the sake of a thorough guide to essay research that will be useful to you in the future, we’re going to include this point anyway (it will definitely come in useful when you get to university, so you may as well start thinking about it now!). As you read through various books and find points you think you’re going to want to make in your essays, make sure you note down where you found these points as you go along (author’s first and last name, the publication title, publisher, publication date and page number). When you get to university you will be expected to identify your sources very precisely, so it’s a good habit to get into. Unfortunately, many students forget to do this and then have a difficult time of going back through their essay adding footnotes and trying to remember where they found a particular point. You’ll save yourself a great deal of time and effort if you simply note down your academic references as you go along. If you are including footnotes, don’t forget to add each publication to a main bibliography, to be included at the end of your essay, at the same time.

Putting in the background work required to write a good essay can seem an arduous task at times, but it’s a fundamental step that can’t simply be skipped. The more effort you put in at this stage, the better your essay will be and the easier it will be to write. Use the tips in this article and you’ll be well on your way to an essay that impresses!

To get even more prepared for essay writing you might also want to consider attending an Oxford Summer School .

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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.

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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.

David Rosowsky

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Essay on Why Research Is Important To Students

Students are often asked to write an essay on Why Research Is Important To Students in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Why Research Is Important To Students

Learning new things.

Research is like a treasure hunt for students. It helps you learn new things that you didn’t know before. By looking up information, you can find out about different topics, ideas, and facts that make you smarter.

Improving Skills

Getting ready for the future.

Research prepares you for jobs and college. It teaches you how to solve problems and make decisions based on what you find. This is a skill that almost every job will value.

Building Confidence

When you research and learn things on your own, you become more confident. You start believing in your ability to find answers and learn new things without always needing help from others.

250 Words Essay on Why Research Is Important To Students

Why research is important to students, research improves our learning.

When we do research, we actively engage with the topic, asking questions, and exploring different ideas. This helps us to understand the topic more deeply and remember it better. It also helps us to develop critical thinking skills, which are essential for success in school and beyond.

Research Helps Us Develop Key Skills

Research is not just about finding information; it’s also about organizing and presenting it effectively. This helps us to develop important skills like writing, speaking, and presentation skills, which are crucial in today’s world. Research also helps us to learn how to use different sources of information, which is essential for making informed decisions.

Research Prepares Us for the Future

The world is constantly changing, and we need to be prepared to adapt and learn new things throughout our lives. Research is a skill that will stay with us long after we graduate from school. It will help us to stay informed about current events, make better decisions, and solve problems more effectively.

Research is an essential skill for students. It helps us to learn more, develop key skills, and prepare for the future. It’s like having a superpower – it gives us the ability to learn about anything we want and to make a difference in the world. So next time you have a question, don’t just search for the answer on Google – do some research. You might just be surprised at what you find.

500 Words Essay on Why Research Is Important To Students

Research helps you learn more.

Research is an important part of learning, and it can help you learn more about things you’re interested in. When you research, you’re actively seeking out information and gathering knowledge on a particular topic. This can help you develop a deeper understanding of the subject matter, and it can also help you to improve your critical thinking and problem-solving skills.

Research Helps You Be More Informed

Research helps you develop critical thinking skills.

Research can also help you to develop your critical thinking skills. When you research, you have to evaluate the information you find and decide what is relevant and what is not. You also have to be able to identify biases and determine what sources are trustworthy. These skills are important in all aspects of life, and they can help you to make better decisions and avoid being misled by misinformation.

Research Helps You Prepare for the Future

Finally, research can help you to prepare for the future. By learning about different topics and developing your critical thinking skills, you can make yourself more marketable to potential employers. You can also use your research skills to solve problems and find solutions to challenges in your personal life.

If you’re looking for more, here are essays on other interesting topics:

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  • v.12(1); 2014 Mar

Why should I do research? Is it a waste of time?

Athanasios dellis.

a 2nd Department of Surgery, Aretaieion Hospital, University of Athens, Greece

Andreas Skolarikos

b 2nd Department of Urology, Sismanogleion Hospital, University of Athens, Greece

Athanasios G. Papatsoris

  • • In medicine, research is the search for scientific knowledge, which is crucial for the development of novel medications and techniques.
  • • Conducting research provides a deeper understanding of several scientific topics of the specialty of each doctor.
  • • Research through RCTs represents the principal methodological approach.
  • • There are two main research processes; qualitative and quantitative studies.
  • • It is important to develop Research Units in hospitals and medical centres.
  • • Ethics and the high quality of research are ensured by committees (i.e., Internal Board Review, Ethics Research Committee).
  • • Research sessions could be implemented in the job plans of doctors.
  • • Research is not a waste of time, but a scientific investment.

To answer the questions ‘Why should I do research? Is it a waste of time?’ and present relevant issues.

Medline was used to identify relevant articles published from 2000 to 2013, using the following keywords ‘medicine’, ‘research’, ‘purpose’, ‘study’, ‘trial’, ‘urology’.

Research is the most important activity to achieve scientific progress. Although it is an easy process on a theoretical basis, practically it is a laborious process, and full commitment and dedication are of paramount importance. Currently, given that the financial crisis has a key influence in daily practice, the need to stress the real purpose of research is crucial.

Research is necessary and not a waste of time. Efforts to improving medical knowledge should be continuous.

What is research?

Research is a general term that covers all processes aiming to find responses to worthwhile scientific questions by means of a systematic and scientific approach. In fact, research is the search for scientific knowledge, a systematically formal process to increase the fund of knowledge and use it properly for the development of novel applications.

There are several types of research, such as basic science laboratory research, translational research, and clinical and population-based research. Medical research through randomised clinical trials (RCTs) represents the principal methodological approach for the structured assessment of medical outcomes. RCTs provide prospective and investigator-controlled studies, representing the highest level of evidence (LoE) and grade of recommendation, and define the ultimate practice guideline [1] . However, many constraints, such as ethical, economic and/or social issues, render the conduct of RCTs difficult and their application problematic. For instance, in one of the largest RCTs in urology, on preventing prostate cancer with finasteride, the LoE was 1 [2] . In this RCT, after 7 years of finasteride chemoprevention, the rate of cancer decreased from 24.4% to 18.4%. Based on this study, it could be postulated that finasteride chemoprevention should be offered to men in the general population in an attempt to reduce the risk of prostate cancer. However, the findings of this RCT could not be implemented universally due to financial issues [3] .

There are two main research processes, i.e., qualitative and quantitative studies. Although very different in structure and methods, these studies represent two arms of the same research body. Qualitative studies are based mainly on human experience, using notions and theoretical information without quantifying variables, while quantitative studies record information obtained from participants in a numerical form, to enable a statistical analysis of the data. Therefore, quantitative studies can be used to establish the existence of associative or causal relationships between variables.

From a practical perspective, adding a Research Unit to a Medical Department would ultimately enhance clinical practice and education. As such, almost all hospitals in Western countries have research and development (R&D) departments, where the R&D can be linked with clinical innovation. Basic areas in this field include business planning, sales policies and activities, model design, and strategic propositions and campaign development. However, if researchers are not motivated, the research could be counterproductive, and the whole process could ultimately be a waste of time and effort [4] .

The ethics and the high quality of research are ensured by committees, such as the Internal Review Board, and Ethics Research Committees, especially in academic hospitals. They consist of highly educated and dedicated scientists of good faith as well as objectivity, to be the trustees of ethical and properly designed and performed studies.

Do we need research?

Research is the fuel for future progress and it has significantly shaped perspectives in medicine. In urology there are numerous examples showing that current practice has rapidly changed as a result of several key research findings. For example, from the research of Huggins and Hodges (who won the Nobel Prize in 1966), hormone therapy has become the standard treatment for patients with advanced/metastatic prostate cancer. The use of ESWL to treat stones in the urinary tract is another example of research that has improved practice in urology. The current trend in urology to use robotic assistance in surgery is a relatively recent example of how constant research worldwide improves everyday clinical practice [5] . Furthermore, in a more sophisticated field, research is used to identify factors influencing decision-making, clarify the preferred alternatives, and encourage the selection of a preferred screening option in diseases such as prostate cancer [6,7] .

Conducting research provides a deeper understanding of several scientific topics within the specialty of each doctor. Furthermore, it helps doctors of a particular specialty to understand better the scientific work of other colleagues. Despite the different areas of interest between the different specialties, there are common research methods.

In a University, PhD and MSc students concentrate their efforts at higher research levels. Apart from having to produce a challenging and stimulating thesis, young researchers try to develop their analytical, conceptual and critical thinking skills to the highest academic level. Also, postgraduate students thus prepare themselves for a future job in the global market.

During the research process several approaches can be tested and compared for their safety and efficacy, while the results of this procedure can be recorded and statistically analysed to extract the relevant results. Similarly, any aspects of false results and side-effects, e.g., for new medications, can be detected and properly evaluated to devise every possible improvement. Hence, research components under the auspices of dedicated supervisors, assisted by devoted personnel, are of utmost importance. Also, funding is a catalyst for the optimum progress of the research programme, and it must be independent from any other financial source with a possible conflict. Unfortunately, in cases of economic crisis in a hospital, the first department that is trimmed is research.

Is research time a waste of time?

Even if the right personnel are appointed and the funding is secured, it would be a great mistake to believe that the results are guaranteed. Full commitment and dedication are of utmost importance for successful research. Also, these questions are raised in relation to the scientific papers that are accepted for publication in medical journals. About US$ 160 billion is spent every year on biomedical research [8] . Recently, in the Lancet [9] it was estimated that 85% of research is wasteful or inefficient, with deficiencies presented in the following questions: (1) is the research question relevant for clinicians or patients?; (2) are the design and methods appropriate?; (3) is the full report accessible?; (4) is it unbiased and clinically meaningful? Such questions about the importance, purpose and impact of research should surely be answered during the research. The view of the general public is that the purpose of medical research is to advance knowledge for the good of society, to invent new substances to fight disease, to create diagnostic and therapeutic algorithms, to improve public health, to prevent diseases, to improve the quality of life and to prolong overall survival.

Pharmaceutical companies that sponsor research are financially orientated. This fact leads to a sole result, i.e., profit, as a return on their investment. In this framework it would be impossible for academic institutions to operate on any other basis but finance. Economic indicators, even better benefits and the commercial potential of research are important for their survival. Nevertheless, the purpose of research is more than that. It is time to reframe the way research is done and rewarded, leaving profits in second place. We need to remind ourselves about the real purpose of scientific research. Moreover, we need to decide what research is needed and what impact it is likely to have. Researchers and those who benefit from research (i.e., patients, practising doctors) have a crucial role in the research process. Academic institutions should assess and reward researchers on a long-term basis, and help them to concentrate on meaningful research. Researchers must defend their selection of topics as being those appropriate to benefit public health.

Each medical specialty has a different working plan, and surgical specialties such as urology are characterised by a lack of time for research. It is suggested that specific sessions for research could be implemented in the job plan of urologists, and for other doctors. This is more important for the ‘academic doctor’, but even non-academic doctors could undertake research, if only of the current updated medical literature.

Last but not least is the issue of teaching research to junior doctors. This is very important, as the sooner each doctor is involved in the research process the better for his or her career. Even for junior doctors who are not interested in an academic career, understanding the research process helps them to develop their scientific skills. Young doctors should be motivated to understand and undertake research. However, it is important to guide them through the basic principles of research and to mentor them during their first scientific projects. Furthermore, specific academic training opportunities should be offered within developing programmes, such as the academic specialist registrar’s career pathways in the UK [10] .

In conclusion, research is necessary and not a waste of time. All relevant components of the research engine should co-operate to achieve scientific progress that will help patients and the general population.

Take-home messages

  • • Ethics and the high quality of research are ensured by committees (i.e. Internal Board Review, Ethical Research Committee).

Conflict of interest

Source of funding.

Peer review under responsibility of Arab Association of Urology.

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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.

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.

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 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).

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 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.

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.

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.

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.

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.

Play this “Deal Me In” interactive card game to practice using inductive 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 [link] .

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.”

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 ( [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.

(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.”

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.

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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  • How to Research and Write a “Why This College?” Essay

How to Research and Write a "Why This College?" Essay

Published on September 24, 2021 by Meredith Testa . Revised on June 1, 2023.

As part of the college application process , many colleges ask applicants to include a supplemental essay explaining why they are interested in their school specifically. There’s one absolute must for writing a great answer to this question: do your research .

Admissions officers are looking for applicants to prove that they are knowledgeable and interested in their school in particular. General answers like “I like the location” or “It’s the right size and offers my major” won’t earn you much praise. Admissions officers are far more impressed by students who can take very specific information—the names of certain classes, for example—and connect it to their personal academic interests.

The process of writing a “Why this college?” essay should look something like this:

  • Thoroughly research the college
  • Connect what you’ve learned through your research to yourself
  • Outline and write the essay

Table of contents

How to research a college, plan and write the essay, mistakes to avoid in a “why this college” essay, other interesting articles, frequently asked questions about college application essays.

The first step in the process is by far the most important. Research should be concrete and very specific—the College Board’s “At a Glance” pages or the “About” section of the college website won’t have the information you need. Instead, look deeply into the college website to find information that isn’t so obvious.

The information you come up with should only be applicable to one college—if you could replace the name of one school with another and have the essay still make sense, you’re not being specific enough.

Visit the campus

Most students visit colleges they’re considering before they apply, and those visits can be a great source of information. Not only will you learn information on the tour, but you’ll also connect with a current student—the tour guide. Current students can answer questions about campus life, and mentioning your interactions with students in your essay can help strengthen it.

On your tour, keep an eye out for any information, big or small, about what makes the school unique. Ask your tour guide about what on-campus social events they enjoy or what unusual traditions they’ve taken part in.

If you’re an international student or otherwise unable to travel to the campus, check if there are other opportunities to find out more about the campus, such as virtual tours.

Look for courses and professors that interest you

If you have a major in mind, there will almost certainly be a list of requirements for that major somewhere on the website. Many schools also make their course catalog available on their website, which can be an excellent resource for prospective students.

You should also check the names of professors teaching in the department. Professors’ email addresses will usually be listed on these pages, and you can email them with any specific questions about the program that the admissions office can’t answer.

This process can work even if you aren’t sure what you’d like to major in. Look for classes in any fields that pique your interest. Find programs you might be interested in—such as study abroad or internship programs—and dig for detailed information about them.

To answer the “Why Duke?” supplemental essay question, Ariana looks at Duke’s registrar website, which offers a version of the course catalog online, and searches for courses in linguistics. There are plenty of courses that seem perfect for Ariana: “Spanish in the US,” “Neuroscience and Human Language,” and “Bilingualism” are all great fits with her interests.

Researching other activities

In addition to finding information on the academics of your chosen school, you should also research other aspects of the college. Non-academic motivations probably won’t make up the bulk of your essay, but they can be a great addition.

Student organizations are good to mention, and it’s great to connect with students who participate in organizations you’re interested in prior to writing your essay.

If you’re a student athlete, you will likely meet with the coach for your sport before you apply. Feel free to mention that—and what you discussed with them—in your essay.

You can also mention other unique traditions or quirks of the school that appeal to you. For example, Muhlenberg College prides itself on painting all of the doors on campus red as a sign of welcome; mentioning that in your essay could show that you’re invested in the friendly, communal culture of that school.

Prevent plagiarism. Run a free check.

Once you’ve completed your research, you’re ready to start the writing process. All the general rules of essay writing still apply—you’ll want, for example, to organize your thoughts with an outline before getting started—but keep in mind that many schools want this essay to be short compared to the personal essay.

In your early notes, be sure to include all the possible reasons the school appeals to you. Write down any information you gathered from your research, campus visit, or conversations with faculty or current students, along with anything else that strikes you as relevant. For example, here’s what Ariana’s list of her reasons for applying to Duke might look like.

  • Combining linguistics and medicine/healthcare
  • Interesting courses: “Neuroscience and Human Language”; “Language, Music, and Dementia”; “Spanish in the US”
  • Campus atmosphere: I overheard students discussing their academic interests throughout the day, even at the dining hall. The student body seems passionate and focused on academics.
  • Conversation with a student during the tour: Discussed my interest in Spanish/bilingualism with a student who happened to be majoring in Spanish.
  • Clubs/activities: Latin American Students Organization and Mi Gente
  • VLearn Program: Duke offers students $70 per semester for lunch with a faculty member

Once your list of campus positives is finished, you can move on to writing an outline in which you organize your thoughts. In the outline, be sure to connect your research to yourself. You can do that by detailing a relevant experience, explaining an academic interest, or connecting the research to your personal life.

I have always been interested in language and how it intersects with neuroscience and medicine. Duke’s “Language, Music, and Dementia” class seems tailor-made for me: it’s the exact type of course I’d like to take and would prepare me for a future career in research or medicine, my two academic passions.

Once you’ve outlined your essay, you can write a draft. The word count for these essays is usually lower. Admissions officers don’t spend much time on each application, so be sure not to exceed the word count.

It’s okay for your answer to be short; successful answers to this question at Tufts, for example, range from just 100 words to 250 words .

For a strong essay, avoid being too general or too emotional, and try not to repeat the same points you’ve already made in other parts of your application.

Speaking in generalities

The most common cause of a bad “ Why this college?” essay is the use of generalities. You may have initially been interested in a school because of its size, ranking, reputation, or location, or the availability of your desired majors, but those aren’t specific enough reasons to include in your essay.

Overusing emotive language

It’s great if you “felt at home” on your college visit, but what does that really mean? You can call a college your “dream school,” but that doesn’t really explain what about it appeals to you.

While it’s fine to discuss the emotional reasons you like a specific college, your essay must include specific, concrete reasons why you want to attend.

Rewriting your personal essay or resume

Admissions officers already have your personal essay and resume right in front of them; you don’t need to reiterate what’s in those, especially if it isn’t relevant to the reasons you’ve given.

Rewriting your accomplishments over and over throughout the application can be annoyingly redundant or, worse, come off as boastful.

However, rewriting your personal essay to make it more readable is highly recommended. You can do this quickly with a paraphrasing tool .

If you want to know more about academic writing , effective communication , or parts of speech , make sure to check out some of our other articles with explanations and examples.

Academic writing

  • Writing process
  • Transition words
  • Passive voice
  • Paraphrasing

 Communication

  • How to end an email
  • Ms, mrs, miss
  • How to start an email
  • I hope this email finds you well
  • Hope you are doing well

 Parts of speech

  • Personal pronouns
  • Conjunctions

Colleges set a “Why this college?” essay because they want to see that you’ve done your research. You must prove that you know what makes the school unique and can connect that to your own personal goals and academic interests.

Campus visits are always helpful, but if you can’t make it in person, the college website will have plenty of information for you to explore. You should look through the course catalog and even reach out to current faculty with any questions about the school.

Cite this Scribbr article

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

Testa, M. (2023, June 01). How to Research and Write a "Why This College?" Essay. Scribbr. Retrieved July 22, 2024, from https://www.scribbr.com/college-essay/why-this-college/

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  • CAREER COLUMN
  • 24 July 2024

Why you should perform a premortem on your research

  • Carsten Lund Pedersen 0

Carsten Lund Pedersen is an associate professor of digital transformation and artificial intelligence at the IT University of Copenhagen in Denmark.

You can also search for this author in PubMed   Google Scholar

A male Pathologist preparing tools for an autopsy

Researchers can pre-empt the possibility of their ideas ending up in the morgue by challenging them early. Credit: Rafe Swan/Getty

Like all researchers, I’ve had my fair share of failed projects: papers that remained unfinished or never got through the revision process; collaborations that didn’t come to fruition; and research projects that never became the successes I anticipated. Some of this was necessary failure — such as the trial-and-error learning or hypothesis rejection needed to obtain new knowledge in research — the kind that is often fetishized in both Silicon Valley start-up culture and academia. Failure, the conventional wisdom goes, makes you better.

But I try to circumvent unnecessary failures — those made through insufficient preparation or execution. Why not try to avoid the avoidable barriers to success?

Over the years, I’ve grown fond of a simple tool that can help to prevent unnecessary failures in my research. This tool, which draws on the work of the cognitive psychologist Gary Klein , is called a project premortem. A premortem takes place before the launch of a project. To carry out the premortem, I imagine that a few years have passed since the project’s launch, and it has failed miserably. What were the underlying causes? As research by Klein and his colleagues shows, this simple method is extremely effective in revealing hidden problems.

The method makes it safe for knowledgeable objectors to voice their reservations about a project. Theoretically, such reasoning is based on prospective hindsight: imagining that an event has already occurred. The true value, however, comes from thinking through how to proactively reduce potential problems and thereby prevent a project from failing.

A portrait photo of Carsten Lund Pedersen

Carsten Lund Pedersen is an associate professor of digital transformation and artificial intelligence at the IT University of Copenhagen. Credit: Carsten Lund Pedersen

For instance, some years ago I dedicated weeks to learning the nuts and bolts of a statistical software tool, because I felt some pressure from collaborators to use it. I was initially reluctant to master it, fearing that this would take away much valuable research time. I have not done any research with the tool since that time, vindicating my initial hesitance. In hindsight, it’s obvious that a premortem could have been useful and prevented me from wasting my time.

I now feel I’ve learnt my lesson, and often create premortems for my own research efforts. Before submitting an article to a premier journal, I ask myself: if I presume this article will be rejected, what will be the underlying reasons for that outcome? Sometimes this makes me aware that my data are not strong enough or that the theoretical logic is incomplete or inconsistent. I also increasingly do premortems with my collaborators, and when designing new courses for students.

However, awareness of the issues that premortems raise is just the first step — there is also a need to identify remedies for these problems. In my own work, I’ve forced myself to spend extra time trying to make a certain theoretical logic more consistent with existing debates in the field, and intuitively understandable, before reviewers find my work lacking. In some cases, it might be difficult to address the issues, but at least you can think about how best to approach the concerns with a revision, thereby getting a head start.

Adding collaborators to the premortem

A premortem often becomes even more effective when you include collaborators. In my experience, they help to overcome any biases or blind spots you might have and improve the overall quality of the input to the premortem. A group can also generate more ideas on how to proactively address different issues.

Recently, I asked a close collaborator if we should pull the plug on a project in which we’ve invested a lot of resources. In the end, we reasoned that the timing of the project probably wasn’t right (and wouldn’t improve in the near future), so it would be best to make the tough decision to stop the project altogether.

essay about why research is important

How researchers and their managers can build an actionable career-development plan

However, a group setting can also be a potential minefield. Failure could result from a collaborator acting as a bottleneck or not communicating sufficiently with the rest of the group. Such actions have the potential to disrupt group harmony or cause conflict.

Although showing sensitivity remains crucial, the premortem setting might provide a ‘safe space’ for people to air potential concerns, because it is framed as an imaginative thought-experiment with the premise that all potential causes of failure should be broached. Dealing with interpersonal issues doesn’t get any easier once a collaboration has failed, so it’s often better to have difficult conversations early on.

A quick checklist for your premortem

How else can you use the premortem in your research? In my experience, a premortem works best during the preparation stages of papers, projects and partnerships.

I’ve developed a quick checklist for conducting your premortem. The process has five simple steps, each with a related key question. Print out the checklist and keep it in your office or take it to your next meeting. Once you’ve conducted an individual step, tick it off.

The bottom line is that academic life might be full of failures, but we should still try to avoid the avoidable ones. The premortem method provides a simple approach for doing just that. And in case you were wondering: yes, this article survived my initial premortem.

doi: https://doi.org/10.1038/d41586-024-02344-2

This is an article from the Nature Careers Community, a place for Nature readers to share their professional experiences and advice. Guest posts are encouraged .

Competing Interests

The author declares no competing interests.

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Ashley Judd: I'm calling on Biden to step aside. Beating Trump is too important.

My folks are not bad people, in spite of what you may now think of them. they are facing bad options. we must give them a different choice..

essay about why research is important

Wednesday evening, I was visiting, as we say in the South, with some of my beloved chosen and biological family. These folks are my roots, my sense of belonging, and meet many of my most intimate human needs.

And some of them, remarkably, feverishly love Donald Trump.

And I love these Trump folks as if my life depended on it, and at times, it literally has. I do not love the beliefs they believe and cling to.

And Wednesday, as I listened to one of my dearest people share some of those beliefs and thoughts, it hurt. I was shaken. My body felt like it was on fire. The words activated in me profound alarm in the aftermath of the recent debate at which President Joe Biden, a deeply decent man, was incapable of countering Trump, while he, unchecked, gushed a firehose of galling lies.

“Those people pouring over our border are less evolved than we are. They are naturally less intelligent. They have criminal natures. They are incapable of respecting the rule of law and order.”

“Men must be strong. They cannot be weak.” We were talking about the wish for boys and men to experience a full range of human emotions without shame or punishment. “It is dog-eat-dog and men will get eaten if they show any weakness. China has a massive, 2-million-man army. They aren’t teaching DEI. Good men must be willing to kill at any moment, but just know how to control that impulse.”

And Trump folks can act on those beliefs. Another one of my closest people, upon arriving at our local mall, came across Black youth hanging out, laughing, sitting on the hoods of cars. She went inside the mall to notify the security person on duty that Black kids were menacingly loafing and up to no good. The security person called the police.

I do not necessarily think all Trump supporters believe, feel, act and speak like this. I know Donald Trump himself does. That is critical. That is why I have come to realize that my private, personal belief is one I should no longer just keep to myself.

And so, I now ask President Joe Biden to step aside.

It's time for Joe Biden to leave the 2024 race

The defense of our cherished rights and freedoms, the moral imperative that we do better by more people, and our bodies, cannot be left to voters who see and are frightened of the consequences of President Biden’s obvious limitations , or who are now not going to vote. We take the risk of an off night and minimize the warning signs at our gravest peril.

You may judge me or be baffled by how and why I can continue to live with and love people who feel and act upon the same harmful beliefs that Trump espouses. And, of course, I wholly realize they feel my beliefs and positions are equally odious. I am humbled and grateful they neither exile me from our family nor allow our significant differences to taint their love for me.

Opinion alerts: Get columns from your favorite columnists + expert analysis on top issues, delivered straight to your device through the USA TODAY app. Don't have the app? Download it for free from your app store .

As Father Richard Rohr has written, we live in a " mixed reality ." I forgive reality for being so mixed. And I do not choose to sanitize reality or my life. I trust real, however messy it is, and however much it hurts to hold this complexity.

My deal breaker is not with my loved ones who are thrilled by Donald Trump. I cannot change them. I tried that, failed at that, damaged our relationships by trying that, and I have had enough loss in my life. I neither want to nor will I lose any more of my folks, especially over politics. My deal breakers with Donald Trump are many, but after listening Wednesday night in that living room, what is searing me is the cruelty. It cannot be America’s future.

Ashley Judd: We have the power to help women and girls caught in crises. Why won't we?

We can't risk a Trump presidency

I feel immense, bereft sadness at the beliefs Donald Trump holds, and that his supporters endorse. But that sadness is trivial compared to the hurt, devastation and loss millions will feel if Donald Trump is reelected. He would wield the power of the presidency with unprecedented, incalculable cruelty and unfairness.

Especially disturbing is his distortion of Christianity, the force of Christian Nationalism advancing him, and the risks for anyone who diverges from that.

Biden? Harris? I don't care. Stopping Trump and Project 2025 is all that matters.

This is not something I wrote easily, quickly or for political convenience. My belief in what President Biden has done for our country runs deep. My hopes for the next term run high. My investment is personal. I bring my body. I show up. I am a Democrat who relishes traveling up to Wisconsin for early voting, bringing coffee and doughnuts at 6 a.m. to first-time voters who have slept overnight on the sidewalk outside their polling place, so eager to cast their ballots for an inaugural experience.

Showing up publicly can cost me, and it absolutely will for far too many if Trump is reelected. When I read the “I am a Nasty Woman” poem at the Women’s March in 2017, I quoted Donald Trump. I was fired for doing so, by a company with whom I had an endorsement.

Trump said it . He was elected. I quoted him, I lose a life-altering paycheck. That is the double standard of American life for women under Donald Trump. And for all who disagree with him.

And writing this essay will cost me. Some, perhaps many, people will scorn me (and worse). Their outrage at me is insignificant compared to the harm that is assured under a second Trump term for, say, our LGBTQ+ families.

With Donald Trump in leadership, speech is chilled. Dissent is punished. Sharing your truth about your life in America can risk your livelihood. When a man raped me in 1998, I was able was have a safe, legal abortion that was accessible right where I live in Tennessee.

We already know many states ban abortions and 10 states have no exceptions for rape and incest , even for adolescent girls. This is reality for girls and women under Donald Trump and it must be the principle on which President Biden chooses to voluntarily, gracefully step aside.

Voters deserve a real choice on the Democratic ticket

Much has been said and printed about the historic progress of this Biden administration. Historic job creation . Visionary investment in America that future generations will feel. I have a deep appreciation and fond regard for him.

Equally, much has been said and printed about what Donald Trump has done and will do. I have been watching and listening.

As my mom’s dear friend Dr. Maya Angelou said , “When someone shows you who they are, believe them the first time.” Donald Trump, I see you, and I believe you.

Thus, because of the very real hurt millions of people would feel when he is president again, the Democratic Party must not delay in thanking President Biden and supporting a talented, robust Democrat to be our party’s nominee. We do not have another day for distraction or division among ourselves.

Some in Washington may want to wait for the next week, the next press conference, the next network interview. Here, where I sit in rural Tennessee, it is clear that Americans have already made up their minds against President Biden, on top of the majority who love to vote for Donald Trump.

My folks are not bad people, despite what you may now think of them. They are facing bad options. We must give them a different choice from our Democratic Party for president of the United States.

Ashley Judd  is a humanitarian, writer and actor.

You can read diverse opinions from our USA TODAY columnists and other writers on the Opinion front page , on X, formerly Twitter, @usatodayopinion and in our Opinion newsletter .

Psychological Research

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 ( [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.

A skull has a large hole bored through the forehead.

Some of our ancestors, across the world and over the centuries, believed that trephination—the practice of making a hole in the skull, as shown here—allowed evil spirits to leave the body, thus curing mental illness and other disorders. (credit: “taiproject”/Flickr)

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 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).

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 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.”

The D.A.R.E. program continues to be popular in schools around the world despite research suggesting that it is ineffective.

Link to Learning

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.

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.

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.

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 top to bottom box. On the right, an arrow labeled “deductive reasoning” goes from the bottom to the top box.

Psychological research relies on both inductive and deductive reasoning.

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 [link] .

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.”

The scientific method of research includes proposing hypotheses, conducting research, and creating or modifying theories based on results.

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 ( [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.

(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.”

Many of the specifics of (a) Freud’s theories, such as (b) his division of the mind into id, ego, and superego, have fallen out of favor in recent decades because they are not falsifiable. In broader strokes, his views set the stage for much of psychological thinking today, such as the unconscious nature of the majority of psychological processes.

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.

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.

Self Check Questions

Critical thinking questions.

1. 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?

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

Personal Application Questions

3. 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?

1. 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.

2. 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.

  • Psychology. Authored by : OpenStax College. Located at : http://cnx.org/contents/[email protected]:1/Psychology . License : CC BY: Attribution . License Terms : Download for free at http://cnx.org/content/col11629/latest/.

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Key facts about Americans and guns

A customer shops for a handgun at a gun store in Florida. (Joe Raedle/Getty Images)

Guns are deeply ingrained in American society and the nation’s political debates.

The Second Amendment to the United States Constitution guarantees the right to bear arms, and about a third of U.S. adults say they personally own a gun. At the same time, in response to concerns such as  rising gun death rates  and  mass shootings , the U.S. surgeon general has taken the unprecedented step of declaring gun violence a public health crisis .

Here are some key findings about Americans’ views of gun ownership, gun policy and other subjects, drawn from Pew Research Center surveys. 

Pew Research Center conducted this analysis to summarize key facts about Americans’ relationships with guns. We used data from recent Center surveys to provide insights into Americans’ views on gun policy and how those views have changed over time, as well as to examine the proportion of adults who own guns and their reasons for doing so.

The Center survey questions used in this analysis, and more information about the surveys’ methodologies, and can be found at the links in the text.

Measuring gun ownership in the United States comes with unique challenges. Unlike many demographic measures, there is not a definitive data source from the government or elsewhere on how many American adults own guns.

The Pew Research Center survey conducted June 5-11, 2023, on the Center’s American Trends Panel, used two separate questions to measure personal and household ownership. About a third of adults (32%) say they own a gun, while another 10% say they do not personally own a gun but someone else in their household does. These shares have changed little from surveys conducted in  2021  and  2017 . In each of those surveys, 30% reported they owned a gun.

These numbers are largely consistent with  rates of gun ownership reported by Gallup and those reported by  NORC’s General Social Survey .  

The FBI maintains data on background checks on individuals attempting to purchase firearms in the United States. The FBI reported  a surge in background checks  in 2020 and 2021, during the coronavirus pandemic, but FBI statistics show that the number of federal background checks declined in 2022 and 2023. This pattern seems to be continuing so far in 2024. As of June, fewer background checks have been conducted than at the same point in 2023, according to FBI statistics.

About   four-in-ten U.S. adults say they live in a household with a gun, including 32% who say they personally own one,  according to  a Center survey conducted in June 2023 . These numbers are virtually unchanged since the last time we asked this question in 2021.

A bar chart showing that nearly a third of U.S. adults say they personally own a gun.

There are differences in gun ownership rates by political affiliation, gender, community type and other factors.

  • Party: 45% of Republicans and GOP-leaning independents say they personally own a gun, compared with 20% of Democrats and Democratic leaners.
  • Gender: 40% of men say they own a gun, versus 25% of women.
  • Community type: 47% of adults living in rural areas report owning a firearm, as do smaller shares of those who live in suburbs (30%) or urban areas (20%).
  • Race and ethnicity: 38% of White Americans own a gun, compared with smaller shares of Black (24%), Hispanic (20%) and Asian (10%) Americans.

Personal protection tops the list of reasons gun owners give for having a firearm.  About seven-in-ten gun owners (72%) say protection is a major reason they own a gun. Considerably smaller shares say that a major reason they own a gun is for hunting (32%), for sport shooting (30%), as part of a gun collection (15%) or for their job (7%). 

Americans’ reasons behind gun ownership have changed only modestly since we fielded a separate survey  about these topics in spring 2017. At that time, 67% of gun owners cited protection as a major reason they had a firearm.

A horizontal stacked bar chart showing that nearly three-quarters of U.S. gun owners cite protection as a major reason they own a gun.

Gun owners tend to have much more positive feelings about having a gun in the house than nonowners who live with them do.  For instance, 71% of gun owners say they enjoy owning a gun – but just 31% of nonowners living in a household with a gun say they enjoy having one in the home. And while 81% of gun owners say owning a gun makes them feel safer, a narrower majority of nonowners in gun households (57%) say the same. Nonowners are also more likely than owners to worry about having a gun at home (27% vs. 12%).

Feelings about gun ownership also differ by political affiliation, even among those who personally own a firearm. Republican gun owners are more likely than Democratic owners to say owning one gives them feelings of safety and enjoyment, while Democratic owners are more likely to say they worry about having a gun in the home.

Non-gun owners are split on whether they see themselves owning a firearm in the future.  About half of Americans who don’t own a gun (52%) say they could never see themselves owning one, while nearly as many (47%) could imagine themselves as gun owners in the future.

Among those who currently do not own a gun, attitudes about owning one in the future differ by party and other factors.

A diverging bar chart showing that non-gun owners are divided on whether they could see themselves owning a gun in the future.

  • Party: 61% of Republicans who don’t own a gun say they could see themselves owning one in the future, compared with 40% of Democrats.
  • Gender: 56% of men who don’t own a gun say they could see themselves owning one someday; 40% of women nonowners say the same.
  • Race and ethnicity: 56% of Black nonowners say they could see themselves owning a gun one day, compared with smaller shares of White (48%), Hispanic (40%) and Asian (38%) nonowners.

A majority of Americans (61%) say it is too easy to legally obtain a gun in this country, according to the June 2023 survey. Far fewer (9%) say it is too hard, while another 30% say it’s about right.

A horizontal bar chart showing that about 6 in 10 Americans say it is too easy to legally obtain a gun in this country.

Non-gun owners are nearly twice as likely as gun owners to say it is too easy to legally obtain a gun (73% vs. 38%). Gun owners, in turn, are more than twice as likely as nonowners to say the ease of obtaining a gun is about right (48% vs. 20%).

There are differences by party and community type on this question, too. While 86% of Democrats say it is too easy to obtain a gun legally, far fewer Republicans (34%) say the same. Most urban (72%) and suburban (63%) residents say it’s too easy to legally obtain a gun, but rural residents are more divided: 47% say it is too easy, 41% say it is about right and 11% say it is too hard.

About six-in-ten U.S. adults (58%) favor stricter gun laws. Another 26% say that U.S. gun laws are about right, while 15% favor less strict gun laws.

A horizontal stacked bar chart showing that women are more likely than men to favor stricter gun laws in the U.S.

There   is broad partisan agreement on some gun policy proposals, but most are politically divisive. Majorities of U.S. adults in both partisan coalitions somewhat or strongly favor two policies that would restrict gun access: preventing those with mental illnesses from purchasing guns (88% of Republicans and 89% of Democrats support this) and increasing the minimum age for buying guns to 21 years old (69% of Republicans, 90% of Democrats). Majorities in both parties also  oppose  allowing people to carry concealed firearms without a permit (60% of Republicans and 91% of Democrats oppose this).

A dot plot showing that bipartisan support for preventing people with mental illnesses from purchasing guns, but wide differences on other policies.

Republicans and Democrats differ on several other proposals. While 85% of Democrats favor banning both assault-style weapons and high-capacity ammunition magazines that hold more than 10 rounds, majorities of Republicans oppose  these proposals (57% and 54%, respectively).

Most Republicans, on the other hand, support allowing teachers and school officials to carry guns in K-12 schools (74%) and allowing people to carry concealed guns in more places (71%). These proposals are supported by just 27% and 19% of Democrats, respectively.

A diverging bar chart showing that Americans are split on whether it is more important.

The public remains closely divided over whether it’s more important to protect gun rights or control gun ownership, according to an April 2024 survey . Overall, 51% of U.S. adults say it’s more important to protect the right of Americans to own guns, while a similar share (48%) say controlling gun ownership is more important.

Views have shifted slightly since 2022, when we last asked this question. That year, 47% of adults prioritized protecting Americans’ rights to own guns, while 52% said controlling gun ownership was more important.

Views on this topic differ sharply by party. In the most recent survey, 83% of Republicans say protecting gun rights is more important, while 79% of Democrats prioritize controlling gun ownership.

Line charts showing that the public remains closely divided over controlling gun ownership versus protecting gun rights, with Republicans and Democrats holding opposing views.

Americans are slightly more likely to say gun ownership does more to increase safety than to decrease it.  Around half of Americans (52%) say gun ownership does more to increase safety by allowing law-abiding citizens to protect themselves, while a slightly smaller share (47%) say gun ownership does more to reduce safety by giving too many people access to firearms and increasing misuse. Views were evenly divided (49% vs. 49%) when we last asked in 2023.

A diverging bar chart showing that men, White adults, Republicans among the most likely to say gun ownership does more to increase safety than to reduce it.

Republicans and Democrats differ widely on this question: 81% of Republicans say gun ownership does more to increase safety, while 74% of Democrats say it does more to reduce safety.

Rural and urban Americans also have starkly different views. Among adults who live in rural areas, 64% say gun ownership increases safety, while among those in urban areas, 57% say it  reduces  safety. Those living in the suburbs are about evenly split in their views.

More than half of U.S. adults say an increase in the number of guns in the country is bad for society, according to the April 2024 survey. Some 54% say, generally, this is very or somewhat bad for society. Another 21% say it is very or somewhat good for society, and a quarter say it is neither good nor bad for society.

A horizontal stacked bar chart showing that a majority of U.S. adults view an increase in the number of guns as bad for society.

About half of Americans (49%) see gun violence as a major problem,  according to a May 2024 survey. This is down from 60% in June 2023, but roughly on par with views in previous years. In the more recent survey, 27% say gun violence is a moderately big problem, and about a quarter say it is either a small problem (19%) or not a problem at all (4%).

A line chart showing that the share of Americans who view gun violence as a major problem has declined since last year.

A majority of public K-12 teachers (59%) say they are at least somewhat worried about the possibility of a shooting ever happening at their school, including 18% who are very or extremely worried, according to a fall 2023 Center survey of teachers . A smaller share of teachers (39%) say they are not too or not at all worried about a shooting occurring at their school.

A pie chart showing that a majority of teachers are at least somewhat worried about a shooting occurring at their school.

School shootings are a concern for K-12 parents as well: 32% say they are very or extremely worried about a shooting ever happening at their children’s school, while 37% are somewhat worried, according to  a fall 2022 Center survey of parents with at least one child younger than 18 who is not homeschooled. Another 31% of K-12 parents say they are not too or not at all worried about this.

Note: This is an update of a post originally published on Jan. 5, 2016 .

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The state of AI in early 2024: Gen AI adoption spikes and starts to generate value

If 2023 was the year the world discovered generative AI (gen AI) , 2024 is the year organizations truly began using—and deriving business value from—this new technology. In the latest McKinsey Global Survey  on AI, 65 percent of respondents report that their organizations are regularly using gen AI, nearly double the percentage from our previous survey just ten months ago. Respondents’ expectations for gen AI’s impact remain as high as they were last year , with three-quarters predicting that gen AI will lead to significant or disruptive change in their industries in the years ahead.

About the authors

This article is a collaborative effort by Alex Singla , Alexander Sukharevsky , Lareina Yee , and Michael Chui , with Bryce Hall , representing views from QuantumBlack, AI by McKinsey, and McKinsey Digital.

Organizations are already seeing material benefits from gen AI use, reporting both cost decreases and revenue jumps in the business units deploying the technology. The survey also provides insights into the kinds of risks presented by gen AI—most notably, inaccuracy—as well as the emerging practices of top performers to mitigate those challenges and capture value.

AI adoption surges

Interest in generative AI has also brightened the spotlight on a broader set of AI capabilities. For the past six years, AI adoption by respondents’ organizations has hovered at about 50 percent. This year, the survey finds that adoption has jumped to 72 percent (Exhibit 1). And the interest is truly global in scope. Our 2023 survey found that AI adoption did not reach 66 percent in any region; however, this year more than two-thirds of respondents in nearly every region say their organizations are using AI. 1 Organizations based in Central and South America are the exception, with 58 percent of respondents working for organizations based in Central and South America reporting AI adoption. Looking by industry, the biggest increase in adoption can be found in professional services. 2 Includes respondents working for organizations focused on human resources, legal services, management consulting, market research, R&D, tax preparation, and training.

Also, responses suggest that companies are now using AI in more parts of the business. Half of respondents say their organizations have adopted AI in two or more business functions, up from less than a third of respondents in 2023 (Exhibit 2).

Photo of McKinsey Partners, Lareina Yee and Roger Roberts

Future frontiers: Navigating the next wave of tech innovations

Join Lareina Yee and Roger Roberts on Tuesday, July 30, at 12:30 p.m. EDT/6:30 p.m. CET as they discuss the future of these technological trends, the factors that will fuel their growth, and strategies for investing in them through 2024 and beyond.

Gen AI adoption is most common in the functions where it can create the most value

Most respondents now report that their organizations—and they as individuals—are using gen AI. Sixty-five percent of respondents say their organizations are regularly using gen AI in at least one business function, up from one-third last year. The average organization using gen AI is doing so in two functions, most often in marketing and sales and in product and service development—two functions in which previous research  determined that gen AI adoption could generate the most value 3 “ The economic potential of generative AI: The next productivity frontier ,” McKinsey, June 14, 2023. —as well as in IT (Exhibit 3). The biggest increase from 2023 is found in marketing and sales, where reported adoption has more than doubled. Yet across functions, only two use cases, both within marketing and sales, are reported by 15 percent or more of respondents.

Gen AI also is weaving its way into respondents’ personal lives. Compared with 2023, respondents are much more likely to be using gen AI at work and even more likely to be using gen AI both at work and in their personal lives (Exhibit 4). The survey finds upticks in gen AI use across all regions, with the largest increases in Asia–Pacific and Greater China. Respondents at the highest seniority levels, meanwhile, show larger jumps in the use of gen Al tools for work and outside of work compared with their midlevel-management peers. Looking at specific industries, respondents working in energy and materials and in professional services report the largest increase in gen AI use.

Investments in gen AI and analytical AI are beginning to create value

The latest survey also shows how different industries are budgeting for gen AI. Responses suggest that, in many industries, organizations are about equally as likely to be investing more than 5 percent of their digital budgets in gen AI as they are in nongenerative, analytical-AI solutions (Exhibit 5). Yet in most industries, larger shares of respondents report that their organizations spend more than 20 percent on analytical AI than on gen AI. Looking ahead, most respondents—67 percent—expect their organizations to invest more in AI over the next three years.

Where are those investments paying off? For the first time, our latest survey explored the value created by gen AI use by business function. The function in which the largest share of respondents report seeing cost decreases is human resources. Respondents most commonly report meaningful revenue increases (of more than 5 percent) in supply chain and inventory management (Exhibit 6). For analytical AI, respondents most often report seeing cost benefits in service operations—in line with what we found last year —as well as meaningful revenue increases from AI use in marketing and sales.

Inaccuracy: The most recognized and experienced risk of gen AI use

As businesses begin to see the benefits of gen AI, they’re also recognizing the diverse risks associated with the technology. These can range from data management risks such as data privacy, bias, or intellectual property (IP) infringement to model management risks, which tend to focus on inaccurate output or lack of explainability. A third big risk category is security and incorrect use.

Respondents to the latest survey are more likely than they were last year to say their organizations consider inaccuracy and IP infringement to be relevant to their use of gen AI, and about half continue to view cybersecurity as a risk (Exhibit 7).

Conversely, respondents are less likely than they were last year to say their organizations consider workforce and labor displacement to be relevant risks and are not increasing efforts to mitigate them.

In fact, inaccuracy— which can affect use cases across the gen AI value chain , ranging from customer journeys and summarization to coding and creative content—is the only risk that respondents are significantly more likely than last year to say their organizations are actively working to mitigate.

Some organizations have already experienced negative consequences from the use of gen AI, with 44 percent of respondents saying their organizations have experienced at least one consequence (Exhibit 8). Respondents most often report inaccuracy as a risk that has affected their organizations, followed by cybersecurity and explainability.

Our previous research has found that there are several elements of governance that can help in scaling gen AI use responsibly, yet few respondents report having these risk-related practices in place. 4 “ Implementing generative AI with speed and safety ,” McKinsey Quarterly , March 13, 2024. For example, just 18 percent say their organizations have an enterprise-wide council or board with the authority to make decisions involving responsible AI governance, and only one-third say gen AI risk awareness and risk mitigation controls are required skill sets for technical talent.

Bringing gen AI capabilities to bear

The latest survey also sought to understand how, and how quickly, organizations are deploying these new gen AI tools. We have found three archetypes for implementing gen AI solutions : takers use off-the-shelf, publicly available solutions; shapers customize those tools with proprietary data and systems; and makers develop their own foundation models from scratch. 5 “ Technology’s generational moment with generative AI: A CIO and CTO guide ,” McKinsey, July 11, 2023. Across most industries, the survey results suggest that organizations are finding off-the-shelf offerings applicable to their business needs—though many are pursuing opportunities to customize models or even develop their own (Exhibit 9). About half of reported gen AI uses within respondents’ business functions are utilizing off-the-shelf, publicly available models or tools, with little or no customization. Respondents in energy and materials, technology, and media and telecommunications are more likely to report significant customization or tuning of publicly available models or developing their own proprietary models to address specific business needs.

Respondents most often report that their organizations required one to four months from the start of a project to put gen AI into production, though the time it takes varies by business function (Exhibit 10). It also depends upon the approach for acquiring those capabilities. Not surprisingly, reported uses of highly customized or proprietary models are 1.5 times more likely than off-the-shelf, publicly available models to take five months or more to implement.

Gen AI high performers are excelling despite facing challenges

Gen AI is a new technology, and organizations are still early in the journey of pursuing its opportunities and scaling it across functions. So it’s little surprise that only a small subset of respondents (46 out of 876) report that a meaningful share of their organizations’ EBIT can be attributed to their deployment of gen AI. Still, these gen AI leaders are worth examining closely. These, after all, are the early movers, who already attribute more than 10 percent of their organizations’ EBIT to their use of gen AI. Forty-two percent of these high performers say more than 20 percent of their EBIT is attributable to their use of nongenerative, analytical AI, and they span industries and regions—though most are at organizations with less than $1 billion in annual revenue. The AI-related practices at these organizations can offer guidance to those looking to create value from gen AI adoption at their own organizations.

To start, gen AI high performers are using gen AI in more business functions—an average of three functions, while others average two. They, like other organizations, are most likely to use gen AI in marketing and sales and product or service development, but they’re much more likely than others to use gen AI solutions in risk, legal, and compliance; in strategy and corporate finance; and in supply chain and inventory management. They’re more than three times as likely as others to be using gen AI in activities ranging from processing of accounting documents and risk assessment to R&D testing and pricing and promotions. While, overall, about half of reported gen AI applications within business functions are utilizing publicly available models or tools, gen AI high performers are less likely to use those off-the-shelf options than to either implement significantly customized versions of those tools or to develop their own proprietary foundation models.

What else are these high performers doing differently? For one thing, they are paying more attention to gen-AI-related risks. Perhaps because they are further along on their journeys, they are more likely than others to say their organizations have experienced every negative consequence from gen AI we asked about, from cybersecurity and personal privacy to explainability and IP infringement. Given that, they are more likely than others to report that their organizations consider those risks, as well as regulatory compliance, environmental impacts, and political stability, to be relevant to their gen AI use, and they say they take steps to mitigate more risks than others do.

Gen AI high performers are also much more likely to say their organizations follow a set of risk-related best practices (Exhibit 11). For example, they are nearly twice as likely as others to involve the legal function and embed risk reviews early on in the development of gen AI solutions—that is, to “ shift left .” They’re also much more likely than others to employ a wide range of other best practices, from strategy-related practices to those related to scaling.

In addition to experiencing the risks of gen AI adoption, high performers have encountered other challenges that can serve as warnings to others (Exhibit 12). Seventy percent say they have experienced difficulties with data, including defining processes for data governance, developing the ability to quickly integrate data into AI models, and an insufficient amount of training data, highlighting the essential role that data play in capturing value. High performers are also more likely than others to report experiencing challenges with their operating models, such as implementing agile ways of working and effective sprint performance management.

About the research

The online survey was in the field from February 22 to March 5, 2024, and garnered responses from 1,363 participants representing the full range of regions, industries, company sizes, functional specialties, and tenures. Of those respondents, 981 said their organizations had adopted AI in at least one business function, and 878 said their organizations were regularly using gen AI in at least one function. To adjust for differences in response rates, the data are weighted by the contribution of each respondent’s nation to global GDP.

Alex Singla and Alexander Sukharevsky  are global coleaders of QuantumBlack, AI by McKinsey, and senior partners in McKinsey’s Chicago and London offices, respectively; Lareina Yee  is a senior partner in the Bay Area office, where Michael Chui , a McKinsey Global Institute partner, is a partner; and Bryce Hall  is an associate partner in the Washington, DC, office.

They wish to thank Kaitlin Noe, Larry Kanter, Mallika Jhamb, and Shinjini Srivastava for their contributions to this work.

This article was edited by Heather Hanselman, a senior editor in McKinsey’s Atlanta office.

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Where Kamala Harris runs stronger (and weaker) than Biden in NBC News' poll

Joe Biden and Kamala Harris hold hands and gesture.

The latest NBC News poll , which was conducted before a gunman fired at former President Donald Trump and rallygoers in Pennsylvania on Saturday, showed both President Joe Biden and Vice President Kamala Harris trailing Republican Donald Trump by 2 points in head-to-head matchups.

Trump led Biden 45%-43%, with 12% undecided or preferring another choice, while the Republican former president was ahead of Harris 47%-45%, with 8% undecided or preferring another choice. Both results are within the poll’s margin of error.

But inside those head-to-head results, the poll found where Harris runs stronger than Biden, where she was weaker and where there was almost no difference, as some in the Democratic Party clamor for a nominee other than Biden following his June debate against Trump.

For starters, the NBC News poll showed Harris slightly outperforming Biden among Black voters, leading Trump among this demographic by 64 points (78% to 14%). That compares with Biden’s 57-point lead among Black voters (69% to 12%).

Meanwhile, the poll showed Trump doing   slightly better among white voters when matched up with Harris instead of Biden, leading her by 16 points among these voters, compared with his 14-point advantage here against Biden.

(These subgroups of voters, however, all have substantially larger margins of error than the poll’s overall margin of error, which is plus or minus 3.5 percentage points.)

Among other demographics — by age, by gender, among Latino voters — there was very little difference between Biden or Harris.

But the biggest differences between Biden and Harris in the matchup against Trump go well beyond demographics.

Among the roughly quarter of Republican voters who say they are unsatisfied with Trump as the GOP’s nominee, Trump is ahead of Biden by 46 points, 63% to 17%.

When Trump’s opponent is Harris, however, more of   these dissatisfied GOP voters flock to Trump.   The Republican’s lead with that group   grows to 57 points, 73% to 16%.

Meanwhile, among the voters who prefer a third-party candidate in the poll’s multicandidate ballot test, Trump and Biden are virtually tied with these voters in a head-to-head matchup: Trump 32%, Biden 31%, with a plurality declining to make a two-way choice, saying they were undecided, would pick another candidate, or something else.

But when Harris is the choice against Trump, more of those respondents made a pick in the two-way ballot test.   The vice president leads Trump among these “other” voters, 46% to 39%, suggesting a higher upside with voters considering a third-party candidate.

The NBC News poll of 800 registered voters — 660 reached via cellphone — was conducted July 7-9, and it has an overall margin of error of plus-minus 3.5 percentage points.

essay about why research is important

Mark Murray is a senior political editor at NBC News.

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