what is research in work

• U.S. Department of Health & Human Services

• Virtual Tour
• Staff Directory
• En Español

You are here

Science, health, and public trust.

September 8, 2021

Explaining How Research Works

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

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

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

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

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

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

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

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

Below are some additional resources:

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

Connect with Us

• More Social Media from NIH

Want to create or adapt books like this? Learn more about how Pressbooks supports open publishing practices.

1 1. Science and social work

Chapter outline.

• How do social workers know what to do? (12 minute read time)
• The scientific method (16 minute read time)
• Evidence-based practice (11 minute read time)
• Social work research (10 minute read time)

Content warning: Examples in this chapter contain references to school discipline, child abuse, food insecurity, homelessness, poverty and anti-poverty stigma, anti-vaccination pseudoscience, autism, trauma and PTSD, mental health stigma, susto and culture-bound syndromes, gender-based discrimination at work, homelessness, psychiatric hospitalizations, substance use, and mandatory treatment.

1.1 How do social workers know what to do?

Learning objectives.

Learners will be able to…

• Reflect on how we, as social workers, make decisions
• Differentiate between micro-, meso-, and macro-level analysis
• Describe the concept of intuition, its purpose in social work, and its limitations
• Identify specific errors in thinking and reasoning

What would you do?

Case 1: Imagine you are a clinical social worker at a children’s mental health agency. One day, you receive a referral from your town’s middle school about a client who often skips school, gets into fights, and is disruptive in class. The school has suspended him and met with the parents on multiple occasions, who say they practice strict discipline at home. Yet the client’s behavior has worsened. When you arrive at the school to meet with your client, who is also a gifted artist, you notice he seems to have bruises on his legs, has difficulty maintaining eye contact, and appears distracted. Despite this, he spends the hour painting and drawing, during which time you are able to observe him.

• Given your observations of your client’s strengths and challenges, what intervention would you select, and how could you determine its effectiveness?

Case 2: Imagine you are a social worker working in the midst of an urban food desert (a geographic area in which there is no grocery store that sells fresh food). As a result, many of your low-income clients either eat takeout, or rely on food from the dollar store or a convenience store. You are becoming concerned about your clients’ health, as many of them are obese and say they are unable to buy fresh food. Your clients tell you that they have to rely on food pantries because convenience stores are expensive and often don’t have the right kinds of food for their families. You have spent the past month building a coalition of community members to lobby your city council. The coalition includes individuals from non-profit agencies, religious groups, and healthcare workers.

• How should this group address the impact of food deserts in your community?  What intervention(s) do you suggest?  How would you determine whether your intervention was effective?

Case 3: You are a social worker working at a public policy center whose work focuses on the issue of homelessness. Your city is seeking a large federal grant to address this growing problem and has hired you as a consultant to work on the grant proposal. After interviewing individuals who are homeless and conducting a needs assessment in collaboration with local social service agencies, you meet with city council members to talk about potential opportunities for intervention. Local agencies want to spend the money to increase the capacity of existing shelters in the community. In addition, they want to create a transitional housing program at an unused apartment complex where people can reside upon leaving the shelter, and where they can gain independent living skills. On the other hand, homeless individuals you interview indicate that they would prefer to receive housing vouchers to rent an apartment in the community. They also fear the agencies running the shelter and transitional housing program would impose restrictions and unnecessary rules and regulations, thereby curbing their ability to freely live their lives. When you ask the agencies about these client concerns, they state that these clients need the structure and supervision provided by agency support workers.

• Which kind of program should your city choose to implement?  Which is most likely to be effective and why?

Assuming you’ve taken a social work course before, you will notice that these case studies cover different levels of analysis in the social ecosystem—micro, meso, and macro. At the micro-level , social workers examine the smallest levels of interaction; in some cases, just “the self” alone (e.g. the child in case one).

When social workers investigate groups and communities, such as our food desert in case 2, their inquiry is at the meso-level .

At the  macro-level , social workers examine social structures and institutions. Research at the macro-level examines large-scale patterns, including culture and government policy.

These three domains interact with one another, and it is common for a research project to address more than one level of analysis. For example, you may have a study about individuals at a case management agency (a micro-level study) that impacts the organization as a whole (meso-level) and incorporates policies and cultural issues (macro-level). Moreover, research that occurs on one level is likely to have multiple implications across domains.

How do social workers know what to do?

Welcome to social work research. This chapter begins with three problems that social workers might face in practice, and three questions about what a social worker should do next. If you haven’t already, spend a minute or two thinking about the three aforementioned cases and jot down some notes. How might you respond to each of these cases?

I assume it is unlikely you are an expert in the areas of children’s mental health, community responses to food deserts, and homelessness policy. Don’t worry, I’m not either. In fact, for many of you, this textbook will likely come at an early point in your graduate social work education, so it may seem unfair for me to ask you what the ‘right’ answers are. And to disappoint you further, this course will not teach you the ‘right’ answer to these questions. It will, however, teach you how to answer these questions for yourself, and to find the ‘right’ answer that works best in each unique situation.

Assuming you are not an experienced practitioner in the areas described above, you likely used intuition (Cheung, 2016). [1] when thinking about what you would do in each of these scenarios. Intuition is a “gut feeling” about what to think about and do, often based on personal experience. What we experience influences how we perceive the world. For example, if you’ve witnessed representations of trauma in your practice, personal life, or in movies or television, you may have perceived that the child in case one was being physically abused and that his behavior was a sign of trauma. As you think about problems such as those described above, you find that certain details stay with you and influence your thinking to a greater degree than others. Using past experiences, you apply seemingly relevant knowledge and make predictions about what might be true.

Over a social worker’s career, intuition evolves into practice   wisdom . Practice wisdom is the “learning by doing” that develops as a result of practice experience. For example, a clinical social worker may have a “feel” for why certain clients would be a good fit to join a particular therapy group. This idea may be informed by direct experience with similar situations, reflections on previous experiences, and any consultation they receive from colleagues and/or supervisors. This “feel” that social workers get for their practice is a useful and valid source of knowledge and decision-makin – do not discount it.

On the other hand, intuitive thinking can be prone to a number of errors. We are all limited in terms of what we know and experience. One’s economic, social, and cultural background will shape intuition, and acting on your intuition may not work in a different sociocultural context. Because you cannot learn everything there is to know before you start your career as a social worker, it is important to learn how to understand and use social science to help you make sense of the world and to help you make sound, reasoned, and well-thought out decisions.

Social workers must learn how to take their intuition and deepen or challenge it by engaging with scientific literature. Similarly, social work researchers engage in research to make certain their interventions are effective and efficient (see Section 1.4 for more information). Both of these processes–consuming and producing research–inform the social justice mission of social work. That’s why the Council on Social Work Education (CSWE), who accredits the MSW program you are in, requires that you engage in social science.

Competency 4: Engage In Practice-informed Research and Research-informed Practice Social workers understand quantitative and qualitative research methods and their respective roles in advancing a science of social work and in evaluating their practice. Social workers know the principles of logic, scientific inquiry, and culturally informed and ethical approaches to building knowledge. Social workers understand that evidence that informs practice derives from multi-disciplinary sources and multiple ways of knowing. They also understand the processes for translating research findings into effective practice. Social workers: • use practice experience and theory to inform scientific inquiry and research; • apply critical thinking to engage in analysis of quantitative and qualitative research methods and research findings; and • use and translate research evidence to inform and improve practice, policy, and service delivery. (CSWE, 2015). [2]

Errors in thinking

We all rely on mental shortcuts to help us figure out what to do in a practice situation. All people, including you and me, must train our minds to be aware of predictable flaws in thinking, termed cognitive biases . Here is a link to the Wikipedia entry on cognitive biases, as well as an interactive list . As you can see, there are many types of biases that can results in irrational conclusions.

The most important error in thinking for social scientists to be aware of is the concept of confirmation bias . Confirmation bias involves observing and analyzing information in a way that confirms what you already believe to be true. We all arrive at each moment with a set of personal beliefs, experiences, and worldviews that have been developed and ingrained over time. These patterns of thought inform our intuitions, primarily in an unconscious manner. Confirmation bias occurs when our mind ignores or manipulates information to avoid challenging what we already believe to be true.

In our second case study, we are trying to figure out how to help people who receive SNAP (sometimes referred to as Food Stamps) who live in a food desert. Let’s say we have arrived at a policy solution and are now lobbying the city council to implement it. There are many who have negative beliefs about people who are “on welfare.”  These people may believe individuals who receive social welfare benefits spend their money irresponsibly, are too lazy to get a job, and manipulate the system to maintain or increase their government payout.

Those espousing this belief may point to an example such as Louis Cuff , who bought steak and lobster with his SNAP benefits and resold them for a profit. However, they are falling prey to assuming that one person’s bad behavior reflects upon an entire group of people. City council members who hold these beliefs may ignore the truth about the client population—that people experiencing poverty usually spend their money responsibly and that they genuinely need help accessing fresh and healthy food. In this way, confirmation bias often makes people less capable of empathizing with one another because they have difficulty accepting alternative perspectives.

Errors in reasoning

Because the human mind is prone to errors, when anyone makes a statement about what is true or what should be done in a given situation, errors in logic may abound. Think back to the case studies at the beginning of this section. You most likely had some ideas about what to do in each case. Below are some of the most common logical fallacies and the ways in which they may negatively influence a social worker:

• Making hasty generalization : when a person draws conclusions before having enough information. A social worker may apply lessons from a handful of clients to an entire population of people (see Louis Cuff , above). It is important to examine the scientific literature in order to avoid this.
• Confusing correlation with causation : when one concludes that because two things are correlated (as one changes, the other changes), they must be causally related. As an example, a social worker might observe both an increase in the minimum wage and higher unemployment in certain areas of the city. However, just because two things changed at the same time does not mean they are causally related. Social workers should explore other factors that might impact causality.
• Going down a slippery slope : when a person concludes that we should not do something because something far worse will happen if we do so. For example, a social worker may seek to increase a client’s opportunity to choose their own activities, but face opposition from those who believe it will lead to clients making unreasonable demands. Clearly, this is nonsense. Changes that foster self-determination are unlikely to result in client revolt. Social workers should be skeptical of arguments opposing small changes because one argues that radical changes are inevitable.
• Appealing to authority : when a person draws a conclusion by appealing to the authority of an expert or reputable individual, rather than through the strength of the claim. You have likely encountered individuals who believe they are correct because another in a position of authority told them so. Instead, we should work to build a reflective and critical approach to practice that questions authority.
• Hopping on the bandwagon : when a person draws a conclusion consistent with popular belief. Just because something is popular does not mean it is correct. Fashionable ideas come and go. Social workers should engage with trendy ideas but must ground their work in scientific evidence rather than popular opinion.
• Using a straw man : when a person does not represent their opponent’s position fairly or with sufficient depth. For example, a social worker advocating for a new group home may depict homeowners that are opposed to clients living in their neighborhood as individuals concerned only with their property values. However, this may not be the case. Social workers should instead engage deeply with all sides of an issue and represent them accurately.

Key Takeaways

• Social work research occurs at the micro-, meso-, and macro-level.
• Intuition is a powerful, though limited, source of information when making decisions.
• All human thought is subject to errors in thinking and reasoning.
• Scientific inquiry accounts for cognitive biases by applying an organized, logical way of observing and theorizing about the world.
• Think about a social work topic you might want to study this semester as part of a research project. How do individuals commit specific errors in logic or reasoning when discussing a specific topic (e.g. Louis Cuff)? How can using scientific evidence help you combat popular myths that are based on erroneous thinking?
• Reflect on the strengths and limitations of your personal experiences as a way to guide your work with diverse populations. Describe an instance when your intuition may have resulted in biased or misguided thinking or behavior in a social work practice situation.

1.2 The scientific method

Learning objectives.

• Define science and social science
• Describe the differences between objective and subjective truth(s)
• Identify how qualitative and quantitative data are analyzed differently and how they can be used together
• Delineate the features of science that distinguish it from pseudoscience

If I asked you to draw a picture of science, what would you draw?  My guess is it would be something from a chemistry or biology classroom, like a microscope or a beaker. Maybe something from a science fiction movie. All social workers use scientific thinking in their practice. However, social workers have a unique understanding of what science means, one that is (not surprisingly) more open to the unexpected and human side of the social world.

Science and not-science

In social work, science is a way of ‘knowing’ that attempts to systematically collect and categorize facts or truths. A key word here is systematically –conducting science is a deliberate process. Scientists gather information about facts in a way that is organized and intentional, and usually follows a set of predetermined steps. Social work is not a science, but social work is informed by social science ; the science of humanity, social interactions, and social structures. In other words, social work research uses organized and intentional procedures to uncover facts or truths about the social world. And social workers rely on social scientific research to promote change.

Science can also be thought of in terms of its impostor, pseudoscience. Pseudoscience refers to beliefs about the social world that are unsupported by scientific evidence. These claims are often presented as though they are based on science. But once researchers test them scientifically, they are demonstrated to be false. A scientifically uninformed social work practitioner using pseudoscience may recommend any number of ineffective, misguided, or harmful interventions. Pseudoscience often relies on information and scholarship that has not been reviewed by experts or offers a selective and biased reading of reviewed literature.

An example of pseudoscience comes from anti-vaccination activists. Despite overwhelming scientific consensus that vaccines do not cause autism, a very vocal minority of people continue to believe that they do. Anti-vaccination advocates present their information as based in science, as seen here at Green Med Info . The author of this website shares real abstracts from scientific journal articles and studies but will only provide information on articles that show the potential dangers of vaccines, without showing any research that prevents the positive and safe side of vaccines. Green Med Info is an example of confirmation bias, as all data presented on the website supports what the pseudo-scientific researcher believes to be true. For more information on assessing causal relationships, consult Chapter 6 , where we discuss causality in detail.

The values and practices associated with the scientific method work to overcome common errors in thinking (such as confirmation bias). First, the scientific method uses established techniques from the literature to determine the likelihood of something being true or false. The research process often cites these techniques, reasons for their use, and how researchers came to the decision to use said techniques. However, each technique comes with its own strengths and limitations. Rigorous science is about making the best choice, being open about your process, and allowing others to check your work. It is important to remember that there is no “perfect” study – all research has limitations because all scientific methods come with limitations.

Skepticism and debate

Unfortunately, the “perfect” researcher does not exist. Scientists are human, so they are subject to error and bias, such as gravitating toward fashionable ideas and thinking their work is more important than others’ work. Theories and concepts fade in and out of use and may be tossed aside when new evidence challenges their truth. Part of the challenge in your research projects will be finding what you believe about an issue, rather than summarizing what others think about the topic. Good science, just like good social work practice, is authentic. When I see students present their research projects, those that are the strongest deliver both passionate and informed arguments about their topic area.

Good science is also open to ongoing questioning. Scientists are fundamentally skeptical. As such, they are likely to pursue alternative explanations. They might question the design of a study or replicate it to see if it works in another context. Scientists debate what is true until they arrive at a majority consensus. If you’ve ever heard that 97% of climate scientists agree that global warming is due to human activity [3] or that 99% of economists agree that tariffs make the economy worse [4] , you are seeing this sociology of science in action. This skepticism will help to catch situations in which scientists who make the oh-so-human mistakes in thinking and reasoning reviewed in Section 1.1.

Skepticism also helps to identify unethical scientists, as with Andrew Wakefield’s study linking the MMR vaccination and autism. When other researchers looked at his data, they found that he had altered the data to match his own conclusions and sought to benefit financially from the ensuing panic about vaccination (Godlee, Smith, & Marcovitch, 2011). [5] This highlights another key value in science: openness.

Through the use of publications and presentations, scientists share the methods used to gather and analyze data. The trend towards open science has also prompted researchers to share data as well. This in turn enables other researchers to re-run, replicate, and validate analyses and results. A major barrier to openness in science is the paywall. When you’ve searched online for a journal article (we will review search techniques in Chapter 3), you have likely run into the $25-$50 price tag. Don’t despair – your university should subscribe to these journals. However, the push towards openness in science means that more researchers are sharing their work in open access journals, which are free for people to access (like this textbook!). These open access journals do not require a university subscription to view.

Openness also means engaging the broader public about your study. Social work researchers conduct studies to help people, and part of scientific work is making sure your study has an impact. For example, it is likely that many of the authors publishing in scientific journals are on Twitter or other social media platforms, relaying the importance of study findings. They may create content for popular media, including newspapers, websites, blogs, or podcasts. It may lead to training for agency workers or public administrators. Regrettably, academic researchers have a reputation for being aloof and disengaged from the public conversation. However, this reputation is slowly changing with the trend towards public scholarship and engagement. For example, see this recent section of the Journal of the Society of Social Work and Research on public impact scholarship .

Science supported by empirical data

Pseudoscience is often doctored up to look like science, but the surety with which its advocates speak is not backed up by empirical data. Empirical data refers to information about the social world gathered and analyzed through scientific observation or experimentation. Theory is also an important part of science, as we will discuss in Chapter 5 . However, theories must be supported by empirical data–evidence that what we think is true really exists in the world.

There are two types of empirical data that social workers should become familiar with. Quantitative data refers to numbers and  qualitative data usually refers to word data (like a transcript of an interview) but can also refer to pictures, performances, and other means of expressing oneself. Researchers use specific methods designed to analyze each type of data. Together, these are known as research methods , or the methods researchers use to examine empirical data.

Objective truth

In our vaccine example, scientists have conducted many studies tracking children who were vaccinated to look for future diagnoses of autism (see Taylor et al. 2014 for a review). This is an example of using quantitative data to determine whether there is a causal relationship between vaccination and autism. By examining the number of people who develop autism after vaccinations and controlling for all of the other possible causes, researchers can determine the likelihood of whether vaccinations cause changes in the brain that are eventually diagnosed as autism.

In this case, the use of quantitative data is a good fit for disproving myths about the dangers of vaccination. When researchers analyze quantitative data, they are trying to establish an objective truth. An objective truth is always true, regardless of context. Generally speaking, researchers seeking to establish objective truth tend to use quantitative data because they believe numbers don’t lie. If repeated statistical analyses don’t show a relationship between two variables, like vaccines and autism, that relationship almost certainly does not exist. By boiling everything down to numbers, we can minimize the biases and logical errors that human researchers bring to the scientific process. That said, the interpretation of those numbers is always up for debate. That process can be subjective.

This approach to finding truth probably sounds similar to something you heard in your middle school science classes. When you learned about gravitational force or the mitochondria of a cell, you were learning about the theories and observations that make up our understanding of the physical world. We assume that gravity is real and that the mitochondria of a cell are real. Mitochondria are easy to spot with a powerful microscope and we can observe and theorize about their function in a cell. The gravitational force is invisible, but clearly apparent from observable facts, such as watching an apple fall. If we were unable to perceive mitochondria or gravity, they would still be there, doing their thing, because they exist independent of our observation of them.

Let’s consider a social work example. Scientific research has established that children who are subjected to severely traumatic experiences are more likely to be diagnosed with a mental health disorder (e.g., Mahoney, Karatzias, & Hutton, 2019). [6] A diagnosis of post-traumatic stress disorder (PTSD) is considered objective, and may refer to a mental health issue that exists independent of the individual observing it and is highly similar in its presentation across clients. The Diagnostic and Statistical Manual of Mental Disorders (DSM-5, 2017) [7] identifies a group of criteria which is based on unbiased, neutral client observations. These criteria are based in research, and render an objective diagnosis more likely to be valid and reliable. Through the clinician’s observations and the client’s description of their symptoms, an objective determination of a mental health diagnosis can be made.

Subjective truth(s)

For those of you skeptics, you may ask yourself: but does a diagnosis tell a client’s whole story? No. It does not tell you what the client thinks and feels about their diagnosis, for example. Receiving a diagnosis of PTSD may be a relief for a client. The diagnosis may suggest the words to describe their experiences. In addition, this diagnosis may provide a direction for therapeutic work, as there are evidence-based interventions clinicians can use with each diagnosis. On the other hand, a client may feel shame and view the diagnosis as a label, defining them in a negative way and limiting their potential (Barsky, 2015). [8]

Imagine if we surveyed people with PTSD to see how they interpreted their diagnosis. Objectively, we could determine whether more people said the diagnosis was, overall, a positive or negative event for them. However, it is unlikely that the experience of receiving a diagnosis was either completely positive or completely negative. In social work, we know that a client’s thoughts and emotions are rarely binary, either/or situations. Clients likely feel a mix of positive and negative thoughts and emotions during the diagnostic process. These messy bits are subjective truths , or the thoughts and feelings that arise as people interpret and make meaning of situations. Uniquely, looking for subjective truths can help us see the contradictory and multi-faceted nature of people’s thoughts, and qualitative data allows us to avoid oversimplifying them into negative and positive feelings that could be counted, as in quantitative data. It is the role of a researcher, just like a practitioner, to seek to understand things from the perspective of the client. Unlike with objective truth, this will not lead to a general sense of what is true for everyone, but rather what is true for that one person.

Subjective truths are best expressed through qualitative data, or through the use of words (not numbers). For example, we might invite a client to tell us how they felt after they were first diagnosed, after they spoke with family, and over the course of the therapeutic process. While it may look different from what we normally think of as science (e.g. pharmaceutical studies), these stories are indeed a rich source of data for scientific analysis. However, it is impossible to analyze what this client said without also considering the sociocultural context in which they live. For example, the concept of PTSD is generated from Western thought and philosophy. How might people from other cultures understand trauma differently?

In the DSM-5 classification of mental health disorders, there is a list of culture-bound syndromes which appear only in certain cultures. For example,  susto describes a unique cluster of symptoms experienced by Latin Americans after a traumatic event (Nogueira, Mari, & Razzouk, 2015). [9]   Susto involves more physical symptoms than a traditional PTSD diagnosis. Indeed, many of these syndromes do not fit within a Western conceptualization of mental health because they differentiate less between the mind and body. To a Western scientist, susto may seem less real than PTSD. To someone from Latin America, their symptoms may not fit neatly into the PTSD framework developed in Western nations . Science has historically privileged knowledge from the United States and other nations in the West and Global North , marking them as objectively true. The objectivity of Western science as universally applicable to all cultures has been increasingly called into question as science has become less dominated by white males, and interaction between cultures and groups becomes broadly more democratic. Clearly, what is true depends in part on the context in which it is observed.

In this way, social scientists have a unique task. People are both objects and subjects. Objectively, you could quantify how tall a person is, what car they drive, how many adverse childhood experiences they had, or their score on a PTSD checklist. Subjectively, you could understand how a person made sense of a traumatic incident or how it contributed to certain patterns in thinking, negative feelings, or opportunities for growth, for example. It is this added dimension that renders social science unique to natural science, which focuses almost exclusively on quantitative data and objective truth. For this reason, this book is divided between projects using qualitative data and quantitative data.

There is no “better” or “more true” way of approaching social science. Instead, the methods a researcher chooses should match the question they ask. If you want to answer, “do vaccines cause autism?” you should choose methods appropriate to answer that question. It seeks an objective truth–one that is true for everyone, regardless of context. Studies like these use quantitative data and statistical analyses to test mathematical relationships between variables. If, on the other hand, you wanted to know “what does a diagnosis of PTSD mean to clients?” you should collect qualitative data and seek subjective truths. You will gather stories and experiences from clients and interpret them in a way that best represents their unique and shared truths. Where there is consensus, you will report that. Where there is contradiction, you will report that as well.

Mixed methods

In this textbook, we will treat quantitative and qualitative research methods separately. However, it is important to remember that a project can include both approaches. A mixed methods study, which we will discuss more in chapter 6, requires thinking through a more complicated project that includes at least one quantitative component, one qualitative component, and a plan to incorporate both approaches together. As a result, mixed methods projects may require more time for conceptualization, data collection, and analysis.

Finding patterns

Regardless of whether you are seeking objective or subjective truths, research and scientific inquiry aim to find and explain patterns. Most of the time, a pattern will not explain every single person’s experience, a fact about social science that is both fascinating and frustrating. Even individuals who do not know each other can create patterns that persist over time. Those new to social science may find these patterns frustrating because they may believe that the patterns describing their sex, age, or some other facet of their lives don’t represent their experience. It’s true. A pattern can exist among your cohort without your individual participation in it. There is diversity within diversity.

Let’s consider some specific examples. You probably wouldn’t be surprised to learn that a person’s social class background has an impact on their educational attainment and achievement. You may be surprised to learn that people select romantic partners that have similar educational attainment, which in turn, impacts their children’s educational attainment (Eika, Mogstad, & Zafar, 2019). [10] . People who have graduated college pair off with other college graduates, as so forth. This, in turn, reinforces existing inequalities, stratifying society by those who have the opportunity to complete college and those who don’t.

People who object to these findings tend to cite evidence from their own personal experience. However, the problem with this response is that objecting to a social pattern on the grounds that it doesn’t match one’s individual experience misses the point about patterns. Patterns don’t perfectly predict what will happen to an individual person. Yet, they are a reasonable guide that, when systematically observed, can help guide social work thought and action. When we don’t investigate these patterns scientifically, we are subject to developing stereotypes, biases, and other harmful beliefs.

A final note on qualitative and quantitative methods

There is not one superior way to find patterns that help us understand the world. As we will learn about in Chapter 5 , there are multiple philosophical, theoretical, and methodological ways to approach scientific truth. Qualitative methods aim to provide an in-depth understanding of a relatively small number of cases. They also provide a voice for the client. Quantitative methods offer less depth on each case but can say more about broad patterns because they typically focus on a much larger number of cases. A researcher should approach the process of scientific inquiry by formulating a clear research question and using the methodological tools best suited to that question.

Believe it or not, there are still significant methodological battles being waged in the academic literature on objective vs. subjective social science. Usually, quantitative methods are viewed as “more scientific” and qualitative methods are viewed as “less scientific.”  Part of this battle is historical. As the social sciences developed, they were compared with the natural sciences, especially physics, which rely on mathematics and statistics to come to a truth. It is a hotly debated topic whether social science should adopt the philosophical assumptions of the natural sciences—with its emphasis on prediction, mathematics, and objectivity—or use a different set of tools—contextual understanding, language, and subjectivity—to find scientific truth.

You are fortunate to be in a profession that values multiple scientific ways of knowing. The qualitative/quantitative debate is fueled by researchers who may prefer one approach over another, either because their own research questions are better suited to one particular approach or because they happened to have been trained in one specific method. In this textbook, we’ll operate from the perspective that qualitative and quantitative methods are complementary rather than competing. While these two methodological approaches certainly differ, the main point is that they simply have different goals, strengths, and weaknesses. A social work researcher should select the method(s) that best match(es) the question they are asking.

• Social work is informed by science.
• Social science is concerned with both objective and subjective knowledge.
• Social science research aims to understand patterns in the social world.
• Social scientists use both qualitative and quantitative methods, which, while different, are often complementary.

Examine a pseudoscientific claim you’ve heard on the news or in conversation with others. Why do you consider it to be pseudoscientific? What empirical data can you find from a quick internet search that would demonstrate it lacks truth?

• Consider a topic you might want to study this semester as part of a research project. Provide a few examples of objective and subjective truths about the topic, even if you aren’t completely certain they are correct. Identify how objective and subjective truths differ.

1.3 Evidence-based practice

• Explain how social workers produce and consume research as part of practice
• Review the process of evidence-based practice and how social workers apply research knowledge with clients and groups

“Why am I in this class?”

“When will I ever use this information?”

While students aren’t always so direct, I would wager a guess that these questions are on the mind of almost every student in a research methods class. And they are valid and important questions to ask!  While it may seem strange, the answer is that you will probably use these skills often. Social workers engage with research on a daily basis by consuming it through popular media, social work education, and advanced training. They also often contribute to research projects, adding new scientific information to what we know. As professors, we also sometimes hear from field supervisors who say that research competencies are unimportant in their setting. One might wonder how these organizations measure program outcomes, report the impact of their program to board members or funding agencies, or create new interventions grounded in social theory and empirical evidence.

Social workers as research consumers

Whether you know it or not, your life is impacted by research every day. Many of our laws, social policies, and court proceedings are grounded in some degree of empirical research and evidence (Jenkins & Kroll-Smith, 1996). [11] That’s not to say that all laws and social policies are good or make sense. But you can’t have an informed opinion about any of them without understanding where they come from, how they were formed, and what their evidence base is. In order to be effective practitioners across micro, meso, and macro domains, social workers need to understand the root causes and policy solutions to social problems their clients are experiencing.

A recent lawsuit against Walmart provides an example of social science research in action. A sociologist named Professor William Bielby was enlisted by plaintiffs to conduct an analysis of Walmart’s personnel policies in order to support their claim that Walmart engages in gender discriminatory practices. Bielby’s analysis shows that Walmart’s compensation and promotion decisions may indeed have been vulnerable to gender bias. In June 2011, the United States Supreme Court decided against allowing the case to proceed as a class-action lawsuit ( Wal-Mart Stores, Inc. v. Dukes , 2011). [12] While a class-action suit was not pursued in this case, consider the impact that such a suit against one of our nation’s largest employers could have had on companies, their employees, and even consumers around the country. [13]

A social worker might learn about this lawsuit through popular media, news media websites or television programs. Social science knowledge allows a social worker to apply a critical eye towards new information, regardless of the source. Unfortunately, popular media does not always report on scientific findings accurately. A social worker armed with scientific knowledge would be able to search for, read, and interpret the original study as well as other information that might challenge or support the study. As social work graduate students, you should be comfortable in your information literacy abilities, and your advocacy and practice should be grounded in these skills. Chapters 2, 3, and 4 of this textbook focus on information literacy , or how to understand what we already know about a topic and contribute to that body of knowledge.

When social workers consume research, they are usually doing so to inform their practice. Clinical social workers are required by a state licensing board to complete continuing education classes in order to remain informed on the latest information in their field. On the macro side, social workers at public policy think tanks consume information to inform advocacy and public awareness campaigns. Regardless of the role of the social worker, practice must be informed by research.

Evidence-based practice

Consuming research is the first component of evidence-based practice (EBP). Drisko and Grady (2015) [14] present EBP as a process composed of “four equally weighted parts: 1) current client needs and situation, (2) the best relevant research evidence, (3) client values and preferences, and (4) the clinician’s expertise” (p. 275). It is not simply “doing what the literature says,” but is rather a process by which practitioners examine the literature, client, self, and context to inform interventions with clients and systems (McNeese & Thyer, 2004). [15] It is a collaboration between social worker, client, and context. As we discussed in Section 1.2, the patterns discovered by scientific research are not applicable to all situations. Instead, we rely on our critical thinking skills to apply scientific knowledge to real-world situations.

The bedrock of EBP is a proper assessment of the client or client system. Once we have a solid understanding of what the issue is, we can evaluate the literature to determine whether there are any interventions that have been shown to treat the issue, and if so, which have been shown to be the most effective. You will learn those skills in the next few chapters. Once we know what our options are, we should be upfront with clients about each option, what the interventions look like, and what the expected outcome will be. Once we have client feedback, we use our expertise and practice wisdom to make an informed decision about how to move forward.

If this sounds familiar, it’s the same approach a doctor, physical therapist, or other health professional would use. This highlights a common critique of EBP: it is too focused on micro-level, clinical social work practice. Not every social worker is a clinical social worker. While there is a large body of literature on EBP for clinical practice, the same concepts apply to other social work roles as well. A social work manager should endeavor to be familiar with evidence-based management styles, and a social work policy advocate should argue for evidence-based policies.

In agency-based social work practice, EBP can take on a different role due to the complexities of the grant funding process. Funders naturally require agencies to demonstrate that their practice is effective. Agencies are almost always required to document that they are achieving the outcomes they intended. However, funders sometimes require agencies to choose from a limited list of interventions determined to be evidence-based practices. Not included in this model are clinical expertise and client values, which are key components of EBP and the therapeutic process. According to some funders, EBP is not a process conducted by a practitioner but instead consists of a list of interventions. Similar dynamics are at play in private clinical practice, in which insurance companies may specify the modality of therapy offered. For example, insurance companies may favor short-term, solution-focused therapy which minimizes cost. But what happens when someone has an idea for a new kind of intervention?  How do new approaches get “on the list” of EBPs of grant funders?

Social workers as research producers

Innovation in social work is incredibly important. Social workers work on wicked problems for their careers. For those of you who have practice experience, you may have had an idea of how to better approach a practice situation. That is another reason you are here in a research methods class. You (really!) will have bright ideas about what to do in practice. Sam Tsemberis relates an “ Aha! ” moment from his practice in this Ted talk on homelessness . While a faculty member at the New York University School of Medicine, he noticed a problem with people cycling in and out of the local psychiatric hospital wards. Clients would arrive in psychiatric crisis, stabilize under medical supervision in the hospital, and end up back at the hospital in psychiatric crisis shortly after discharge.

When he asked the clients what their issues were, they said they were unable to participate in homelessness programs because they were not always compliant with medication for their mental health diagnosis and they continued to use drugs and alcohol. The housing supports offered by the city government required abstinence and medication compliance before one was deemed “ready” for housing. For these clients, the problem was a homelessness service system that was unable to meet clients where they were–ready for housing, but not ready for abstinence and psychiatric medication. As a result, chronically homeless clients were cycling in and out of psychiatric crises, moving back and forth from the hospital to the street.

The solution that Sam Tsemberis implemented and popularized is called Housing First , and is an approach to homelessness prevention that starts by, you guessed it, providing people with housing first and foremost. Tsemberis’s model addresses chronic homelessness in people with co-occurring disorders (those who have a diagnosis of a substance use and mental health disorder). The Housing First model states that housing is a human right: clients should not be denied their right to housing based on substance use or mental health diagnoses.

In Housing First programs, clients are provided housing as soon as possible. The Housing First agency provides wraparound treatment from an interdisciplinary team, including social workers, nurses, psychiatrists, and former clients who are in recovery. Over the past few decades, this program has gone from a single program in New York City to the program of choice for federal, state, and local governments seeking to address homelessness in their communities.

The main idea behind Housing First is that once clients have a residence of their own, they are better able to engage in mental health and substance use treatment. While this approach may seem logical to you, it is the opposite of the traditional homelessness treatment model. The traditional approach began with the client abstaining from drug and alcohol use and taking prescribed medication. Only after clients achieved these goals were they offered group housing. If the client remained sober and medication compliant, they could then graduate towards less restrictive individual housing.

Conducting and disseminating research allows practitioners to establish an evidence base for their innovation or intervention, and to argue that it is more effective than the alternatives, and should therefore be implemented more broadly. For example, by comparing clients who were served through Housing First with those receiving traditional services, Tsemberis could establish that Housing First was more effective at keeping people housed and at addressing mental health and substance use goals. Starting first with smaller studies and graduating to larger ones, Housing First built a reputation as an effective approach to addressing homelessness. When President Bush created the Collaborative Initiative to Help End Chronic Homelessness in 2003, Housing First was used in a majority of the interventions and its effectiveness was demonstrated on a national scale. In 2007, it was acknowledged as an evidence-based practice in the Substance Abuse and Mental Health Services Administration’s (SAMHSA) EBP resource center. [16]

We suggest browsing around the SAMHSA EBP Resource Center and looking for interventions on topics that interest you. Other sources of evidence-based practices include the Cochrane Reviews digital library  and Campbell Collaboration . In the next few chapters, we will talk more about how to search for and locate literature about clinical interventions. The use of systematic reviews , meta-analyses , and randomized controlled trials are particularly important in this regard, types of research we will describe more in Chapter 3 and Chapter 4.

So why share the story of Housing First? Well, we want you to think about what you hope to contribute to our knowledge of social work practice. What is your bright idea and how can it change the world? Practitioners innovate all the time, often incorporating those innovations into their agency’s approach and mission. Using scientific research methods, agency-based social workers can demonstrate to policymakers and other social workers that their innovations should be more widely used. Without this wellspring of new ideas, social services would not be able to adapt to the changing needs of their communities. Social workers in agency-based practice may also participate in research projects taking place at their agency. Partnerships between schools of social work and agencies are a common way of testing and implementing innovations in social work. In such a case, all parties receive an advantage: clinicians receive specialized training, clients receive additional services, agencies gain prestige, and researchers can illustrate the effectiveness of an intervention.

Evidence-based practice highlights the unique perspective that social work brings to research. Social work both “holds” and critiques evidence. With regard to the former, “holding” evidence refers to the fact that the field of social work values scientific information. The Housing First example demonstrates how this interplay between valuing and critiquing science works–first by critiquing existing research and conducting research to establish a new approach to a problem. It also demonstrates the importance of listening to your target population and privileging their understanding and perception of the issue. While their understanding is not the result of scientific inquiry, it is deeply informed through years of direct experience with the issue and embedded within the relevant cultural and historical context. Although science often searches for the “one true answer,” social work researchers must remain humble about the degree to which we can really know, and must begin to engage with other ways of knowing that may originate from clients and communities.

See the video  below for an example of how “one true answer” about a population can often oversimplify things and overstate how much we know about how to intervene in a given situation.

Cultural Humility: People, Principles and Practices – Part 1 of 4 by Vivian Chavez is adapted under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) http://creativecommons.org/licenses/b…

While you may not become a scientist in the sense of wearing a lab coat and using a microscope, social workers must understand science in order to engage in ethical practice. In this section, we reviewed ways in which research is a part of social work practice, including:

• Determining the best intervention for a client or system
• Ensuring existing services are accomplishing their goals
• Satisfying requirements to receive funding from private agencies and government grants
• Testing a new idea and demonstrating that it should be more widely implemented

Using a social work practice situation that you have experienced, walk through the four steps of the evidence-based practice process and how they informed your decision-making. Reflect on some of the difficulties applying EBP in the real world.

• Talk with a social worker about how he or she produces and consumes research as part of practice. Consider asking them about articles that changed their practice or helped them think about a problem in a new way. They may talk more about a training or a book, rather than academic journal articles. Reflect on your personal career goals and how research will fit into your future practice.

1.4 Social work research

• Differentiate between formal and informal research roles
• Describe common barriers to engaging with social work research
• Identify alternative ways of thinking about research methods

Formal and informal research roles

I’ve been teaching research methods for six years and have found that many students struggle to see the connection between research and social work practice. First of all, it’s important to mention that social work researchers exist!  The authors of this textbook are social work researchers across university, government, and non-profit institutions. Matt and Cory are researchers at universities, focusing on disability policy, wellness & mental health, and intimate partner violence. Dalia is a behavioral health researcher at RTI International, a nonprofit research institute, where she studies the opioid epidemic. Kate is a researcher at the Joint Legislative Audit and Review Commission in Virginia, where she studies policies related to criminal justice. The career path for social workers in formal research roles is bright and diverse, as we each bring a unique perspective with our ethical and theoretical orientation.

Formal research results in written products like journal articles, government reports, or policy briefs. To get a sense of formal research roles in social work, consider asking a professor about their research. You can also browse around the top journals in social work: Trauma, Violence & Abuse , Child Maltreatment , Child Abuse & Neglect , Social Service Review , Family Relations , Journal of Social Policy , Social Policy & Administration , Research on Social Work Practice , Health & Social Care in the Community , Health & Social Work , British Journal of Social Work , Child & Family Social Work , International Journal of Social Welfare , Qualitative Social Work , Children & Youth Services Review , Social Work , Social Work in Health Care , Journal of Social Work Practice , International Social Work , Affilia Journal of Women and Social Work , and Clinical Social Work Journal .  Additionally, the websites to most government agencies, foundations, think tanks, and advocacy groups contain formal research often conducted by social workers.

But let’s be clear, studies show that most social work students are not interested in becoming social work researchers who publish journal articles or research reports (DeCarlo et al., 2019; Earley, 2014). [17] Once you enter post-graduate practice, you will need to apply your formal research skills to the informal research conducted by practitioners and agencies every day. Every time you are asking who, what, when, where and why, you are conducting informal research. Informal research can be more involved. Social workers may be surprised when they are asked to engage in research projects such as needs assessments, community scans, program and policy evaluations, and single system designs, to name a few. Macro-oriented students may have to conduct research on programs and policies as part of advocacy or administration. I cannot tell you the number former students who have contacted me looking for research resources or wanting to “pick my brain” about research they are doing as part of their employment.

Research for action

Regardless of whether a social worker conducts formal research that results in journal articles or informal research that is used within an agency, all social work research is distinctive in that it is active (Engel & Schutt, 2016). [18] We want our results to be used to effect social change. Sometimes this means using findings to change how clients receive services. Sometimes it means using findings to show the benefits of programs or policies. Sometimes it means using findings to speak with those oppressed and marginalized persons who have been left out of the policy creation process. Additionally, it can mean using research as the mode with which to engage a constituency to address a social justice issue. All of these research activities differ; however, the one consistent ingredient is that these activities move us towards social and economic justice.

Student anxieties and beliefs about research

Unfortunately, students generally arrive in research methods classes with a mixture of dread, fear, and frustration. If you attend any given social work education conference, there is probably a presentation on how to better engage students in research. There is an entire body of academic research that verifies what any research professor knows to be true. Honestly, this is why the authors of this textbook started this project. We want to make research more enjoyable and engaging for students. Generally, we have found some common myths and misconceptions get in the way of student success in research. Let’s see if any of these match with what you are thinking.

I’m never going to use this crap!

Students who tell me that research methods is not useful to them are saying something important. As a student scholar, your most valuable asset is your time. You give your time to the subjects you consider important to you and for your career. Because most social workers don’t become researchers or practitioner-researchers, students may feel that a research methods class is a waste of time. Our discussion of evidence-based practice and the ways in which social workers use research in practice brought home the idea that social workers play an important role in creating and disseminating new knowledge about social services.

On a more immediate level, learning about research methods and completing an individual research project allow students to focus in on a specific topic. This class is an invitation to conduct an independent study on a social work topic of interest to you. In this book, you will learn how to understand and apply the scientific method to that topic. Not only that, but the skills you learn in literature search and review will help you in every class in your MSW program.

Research is only for super-smart people

Research methods involves a lot of terminology that may be entirely new to social work students. Other domains of social work, such as practice, are easier to apply your intuition towards. You understand how to be an empathetic person, and your experiences in life can help guide you through a practice situation or even a theoretical or conceptual question. Research may seem like a totally new area in which you have no previous experience. In research methods there can be “wrong” answers. Depending on your research question, some approaches to data analysis or measurement, for example, may not help you find the correct answer.

The fear is entirely understandable. Research is not straightforward. As Figure 1.1 shows, it is a process that is non-linear, involving multiple revisions, wrong turns, and dead ends before you figure out the best question and research approach. You may have to go back to chapters after having read them or even peek ahead at chapters your class hasn’t covered yet.

Moreover, research is something you learn by doing…and stumbling a few times. It’s an iterative process, or one that requires many tries to get right. There isn’t a shortcut for learning research, but if you follow along with the exercises in this book, you can break down a student research project and accomplish it piece by piece. No one just knows research. It’s something you pick up by doing it, reflecting on the experiences and results, redoing your work, and revising it in consultation with your professor and peers. Research involves exploration, risk taking, and a willingness to say, “Let’s see what we will find!”

Research is designed to suck the joy from my life

We’ve talked already about the arcane research terminology, so I won’t go into it again here. But students sometimes perceive research methods as boring. Practice knowledge and even theory are fun to learn because they are easy to apply and provide insights into the world around you. Research just seems like its own weirdly shaped and ill-fitting puzzle piece.

I completely understand where this perspective comes from and hope there are a few things you will take away from this course that aren’t boring to you. In the first section of this textbook, you will learn how to take any topic and learn what is known about it. It may seem trivial, but this is actually a superpower. Your social work education will teach you basic knowledge that can be applied to nearly all social work practice situations as well as some applied material applicable to specific social work practice situations. However, no education will provide you with everything you need to know. And certainly, no professor can tell you what will be discovered over the next few decades of your practice. Our work on literature reviews in the next few chapters will help you increase your skills and knowledge to become a strong social work student and practitioner. Following that, our exploration of research methods will help you understand how theories, practice models, and techniques you learn in other classes are created and tested scientifically. Like a colorful puzzle, you’ll see how all of the pieces fit together.

Get out of your own way

Together, these misconceptions and myths can create a self-fulfilling prophecy for students. If you believe research is boring, you won’t find it interesting. If you believe research is hard, you will struggle more with assignments. If you believe research is useless, you won’t see its utility. If you’re afraid that you will make mistakes, then you won’t want to try. While we certainly acknowledge that students aren’t going to love research as much as we do (we spent over a year writing this book, so we like it a lot!), we suggest reframing how you think about research using the following touchstones:

• All social workers rely on social science research to engage in competent practice.
• No one  already knows research. It’s something I’ll learn through practice. And it’s challenging for everyone, not just me.
• Research is relevant to me because it allows me to figure out what is known about any topic I want to study.
• If the topic I choose to study is important to me, I will be more interested in exploring research to help me understand it further.

Students should be intentional about managing any anxiety coming from a research project. Here are some suggestions:

• Talk to your professor if you are feeling lost. We like students!
• Talk to a librarian if you are having trouble finding information about your topic.
• Seek support from your peers or mentors.

The structure of this textbook

The textbook is divided into five parts. In the first part (Chapters 1-4), we will review how to orient your research proposal to a specific question you want to answer and review the literature to see what we know about it. Student research projects come with special limitations, as you don’t have many resources, so our chapters are designed to help you think through those limitations and think of a project that is doable. In the second part (Chapters 5-8), we will bring in theory, causality, ethics to help you conceptualize your research project and what you hope to achieve. By the end of the second part, you will create a quantitative and qualitative research question. Parts 3 and 4 will walk you through how to conduct quantitative and qualitative research, respectively. These parts run through how to recruit people to participate in your study, what to ask them, and how to interpret the results of what they say. Finally, the last part of the textbook reviews how to connect research and practice. For some, that will mean completing program evaluations as part of agency-based practice. For others, it will mean consuming research as part of continuing education as a practitioner. We hope you enjoy reading this book as much as we enjoyed writing it!

If you are still figuring out how to navigate the book using your internet browser, consider watching our tutorial [LINK NEEDED]. Also, the exercises in each chapter offer you an opportunity to apply what you wrote to your own research project, so consider completing these as you read.

• Social workers engage in formal and informal research production as part of practice.
• If you feel anxious, bored, or overwhelmed by research, you are not alone!
• Becoming more familiar with research methods will help you become a better scholar and social work practitioner.
• With your peers, explore your feelings towards your research methods classes. Describe some themes that come up during your conversations. Identify which issues can be addressed by your professor and which can be addressed by students.
• Browse social work journals and identify an article of interest to you. Look up the author’s biography or curriculum vitae on their personal website or the website of their university.
• Cheung, J. C. S. (2016). Researching practice wisdom in social work. Journal of Social Intervention: Theory and Practice ,  25 (3), 24-38. ↵
• For more on the CSWE accreditation standards see https://www.cswe.org/CSWE/media/AccredidationPDFs/2015-epas-and-glossary_1.pdf and the EPAS index in this book. ↵
• See: https://climate.nasa.gov/faq/17/do-scientists-agree-on-climate-change/ ↵
• See: http://www.igmchicago.org/surveys/import-duties ↵
• Godlee   F. ,  Smith   J. , & Marcovitch   H . (2011) Wakefield’s article linking MMR vaccine and autism was fraudulent. British medical journal, 342 , 64-66. ↵
• Mahoney, A., Karatzias, T., & Hutton, P. (2019). A systematic review and meta-analysis of group treatments for adults with symptoms associated with complex post-traumatic stress disorder.  Journal of affective disorders ,  243 , 305-321. ↵
• American Psychiatric Association. (2017). Diagnostic and statistical manual of mental disorders (5th ed.) . Washington, DC ↵
• Barsky, A. (2015). DSM-5 and the ethics of diagnosis. New social worker . Retrieved from: https://www.socialworker.com/feature-articles/ethics-articles/dsm-5-and-ethics-of-diagnosis/ ↵
• Nogueira, B. L., Mari, J. D. J., & Razzouk, D. (2015). Culture-bound syndromes in Spanish speaking Latin America: the case of Nervios, Susto and Ataques de Nervios. Archives of Clinical Psychiatry (São Paulo), 42( 6), 171-178. ↵
• Eika, L., Mogstad, M., & Zafar, B. (2019). Educational assortative mating and household income inequality. Journal of Political Economy, 127 (6), 2795-2835. ↵
• Jenkins, P. J., & Kroll-Smith, S. (Eds.). (1996). Witnessing for sociology: Sociologists in court . Westport, CT: Praeger. ↵
• Wal-Mart  Stores, Inc. v. Dukes , 564 U.S. (2011). The American Sociological Association (ASA) subsequently filed an amicus brief in support of what would be the class of individuals claiming gender discrimination. You can read the brief at http://asanet.org/images/press/docs/pdf/Amicus_Brief_Wal-Mart_v Dukes_et_al.pdf.  For other recent amicus briefs filed by the ASA, see  http://asanet.org/about/amicus_briefs.cfm . ↵
• Want to know more about the suit against Walmart or about Bielby’s analysis for the case? Check out the following source: Hart, M., & Secunda, P. M. (2009). A matter of context: Social framework evidence in employment discrimination class actions. Fordham Law Review ,  78 , 37-70. (2009). A matter of context: Social framework evidence in employment discrimination class action.  Fordham Law Review, 78 , 37–70. Retrieved from:  http://www.fordhamlawreview.org/assets/pdfs/Vol_78/Hart_Secunda_October_2009.pdf ↵
• Drisko, J. W., & Grady, M. D. (2015). Evidence-based practice in social work: A contemporary perspective. Clinical Social Work Journal ,  43 (3), 274-282. ↵
• McNeece, C. A., & Thyer, B. A. (2004). Evidence-based practice and social work. Journal of evidence-based social work ,  1 (1), 7-25. ↵
• Substance Abuse and Mental Health Services Administration (2007). Pathways' housing first program . Retrieved from:https://www.samhsa.gov/homelessness-programs-resources/hpr-resources/housing-first-supports-recovery ↵
• DeCarlo, M. P., Schoppelrey, S., Crenshaw, C., Secret, M. C., & Stewart, M. (2020, January 1). Open educational resources and graduate social work students: Cost, outcomes, use, and perceptions. https://doi.org/10.31235/osf.io/k4ytd; Earley, M. A. (2014). A synthesis of the literature on research methods education. Teaching in Higher Education, 19 (3), 242-253. ↵
• Engel, R. J. & Schutt, R. K. (2016) The practice of research in social work (4th edition) . Washington, DC: Sage Publications ↵

examining the smallest levels of interaction, usually individuals

examining interaction between groups and within communities

examining social structures and institutions

a “gut feeling” about what to do based on previous experience

“learning by doing” that guides social work intervention and increases over time

predictable flaws in thinking

observing and analyzing information in a way that agrees with what you already think is true and excludes other alternatives

a way of knowing that attempts to systematically collect and categorize facts or truths

the science of humanity, social interactions, and social structures

claims about the world that appear scientific but are incompatible with the values and practices of science

information about the social world gathered and analyzed through scientific observation or experimentation

numerical data

data derived from analysis of texts. Usually, this is word data (like a conversation or journal entry) but can also include performances, pictures, and other means of expressing ideas.

the methods researchers use to examine empirical data

a single truth, observed without bias, that is universally applicable

one truth among many, bound within a social and cultural context

a process composed of "four equally weighted parts: 1) current client needs and situation, (2) the best relevant research evidence, (3) client values and preferences, and (4) the clinician’s expertise" (Drisko & Grady, 2015, p. 275)

a study that combines raw data from multiple quantitative studies and analyzes the pooled data using statistics

Graduate research methods in social work Copyright © 2020 by Matthew DeCarlo, Cory Cummings, Kate Agnelli is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

Share This Book

What Is Research and Why We Do It

• First Online: 23 June 2020

Cite this chapter

• Carlo Ghezzi 2  

2998 Accesses

2 Altmetric

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

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

• Available as EPUB and PDF
• Read on any device
• Instant download
• Own it forever
• Compact, lightweight edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

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

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

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

This view applies mainly to natural and physical sciences.

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

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

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

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

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

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

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

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

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

Carayannis, E., Campbell, D.: Mode 3 knowledge production in quadruple helix innovation systems. In: E. Carayannis, D. Campbell (eds.) Mode 3 Knowledge Production in Quadruple Helix Innovation Systems: 21st-Century Democracy, Innovation, and Entrepreneurship for Development. SpringerBriefs in Business, New York, NY (2012)

Google Scholar  

Etzkowitz, H., Leydesdorff, L.: The triple helix – university-industry-government relations: A laboratory for knowledge based economic development. EASST Review 14 (1), 14–19 (1995)

Harari, Y.: Sapiens: A Brief History of Humankind. Random House (2014). URL https://books.google.it/books?id=1EiJAwAAQBAJ

Harari, Y.: Homo Deus: A Brief History of Tomorrow. Random House (2016). URL https://books.google.it/books?id=dWYyCwAAQBAJ

Hopcroft, J.E., Motwani, R., Ullman, J.D.: Introduction to Automata Theory, Languages, and Computation (3rd Edition). Addison-Wesley Longman Publishing Co., Inc., USA (2006)

MATH   Google Scholar  

Medawar, P.: Advice To A Young Scientist. Alfred P. Sloan Foundation series. Basic Books (2008)

OECD: Frascati Manual. OECD Publishing (2015). https://doi.org/10.1787/9789264239012-en . URL https://www.oecd-ilibrary.org/content/publication/9789264239012-en

REF2019/2: Panel criteria and working methods (2019). URL https://www.ref.ac.uk/media/1084/ref-2019_02-panel-criteria-and-working-methods.pdf

Senor, D., Singer, S.: Start-Up Nation: The Story of Israel’s Economic Miracle. McClelland & Stewart, Toronto, Canada (2011)

Stokes, D.E.: Pasteur’s Quadrant: Basic Science and Technological Innovation. Brookings Institution Press, Washington, D.C. (1997)

Thurston, R.H.: The growth of the steam engine. Popular Science Monthly 12 (1877)

Vardi, M.Y.: The long game of research. Commun. ACM 62 (9), 7–7 (2019). https://doi.org/10.1145/3352489 . URL http://doi.acm.org/10.1145/3352489

Download references

Author information

Authors and affiliations.

Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy

Carlo Ghezzi

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Carlo Ghezzi .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Ghezzi, C. (2020). What Is Research and Why We Do It. In: Being a Researcher. Springer, Cham. https://doi.org/10.1007/978-3-030-45157-8_1

Download citation

DOI : https://doi.org/10.1007/978-3-030-45157-8_1

Published : 23 June 2020

Publisher Name : Springer, Cham

Print ISBN : 978-3-030-45156-1

Online ISBN : 978-3-030-45157-8

eBook Packages : Computer Science Computer Science (R0)

Share this chapter

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

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

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

What does a researcher do?

Would you make a good researcher? Take our career test and find your match with over 800 careers.

What is a Researcher?

A researcher is trained to conduct systematic and scientific investigations in a particular field of study. Researchers use a variety of techniques to collect and analyze data to answer research questions or test hypotheses. They are responsible for designing studies, collecting data, analyzing data, and interpreting the results. Researchers may work in a wide range of fields, including science, medicine, engineering, social sciences, humanities, and many others.

To become a researcher, individuals usually need to obtain a graduate degree in their chosen field of study. They may also need to gain experience working as an assistant or intern in a research setting before becoming a full-fledged researcher. Researchers may work in academic or industrial settings, or they may work independently as consultants or freelance researchers. Regardless of the setting, researchers play a vital role in advancing knowledge and finding solutions to real-world problems.

What does a Researcher do?

Researchers are essential to the advancement of knowledge in various fields, including science, technology, medicine, social sciences, and humanities. Their work involves conducting systematic investigations to gather data, analyze it, and draw meaningful conclusions. Through their research, they can identify new problems and challenges, develop innovative solutions, and test hypotheses to validate theories.

Researchers also play a critical role in improving existing practices and policies, identifying gaps in knowledge, and creating new avenues for future research. They provide valuable insights and information that can inform decision-making, shape public opinion, and drive progress in society.

Duties and Responsibilities The duties and responsibilities of researchers can vary depending on the field of study and the type of research being conducted. However, here are some common duties and responsibilities that researchers are typically expected to fulfill:

• Develop research proposals: Developing a research proposal typically involves identifying a research question or problem, reviewing the relevant literature, selecting appropriate research methods and techniques, and outlining the expected outcomes of the research. Researchers must also ensure that their proposal aligns with the funding agency's objectives and guidelines.
• Conduct literature reviews: Literature reviews involve searching for and reviewing existing research papers, articles, books, and other relevant publications to identify gaps in knowledge and to build upon previous research. Researchers must ensure that they are using credible and reliable sources of information and that their review is comprehensive.
• Collect and analyze data: Collecting and analyzing data is a key aspect of research. This may involve designing and conducting experiments, surveys, interviews, or observations. Researchers must ensure that their data collection methods are valid and reliable, and that their analysis is appropriate and accurate.
• Ensure ethical considerations: Research ethics involve ensuring that the research is conducted in a manner that protects the rights, welfare, and dignity of all participants, as well as the environment. Researchers must obtain informed consent from human participants, ensure that animal research is conducted ethically and humanely, and comply with relevant regulations and guidelines.
• Communicate research findings: Researchers must communicate their research findings clearly and effectively to a range of audiences, including academic peers, policymakers, and the general public. This may involve writing research papers, presenting at conferences, and producing reports or other materials.
• Manage research projects: Managing a research project involves planning, organizing, and coordinating resources, timelines, and budgets to ensure that the project is completed on time and within budget. Researchers must ensure that they have the necessary resources, such as funding, personnel, and equipment, and that they are managing these resources effectively.
• Collaborate with others: Collaboration is an important aspect of research, and researchers often work with other researchers, academic institutions, funding agencies, and industry partners to achieve research objectives. Collaboration can help to facilitate the sharing of resources, expertise, and knowledge.
• Stay up-to-date with developments in their field: Research is an evolving field, and researchers must stay up-to-date with the latest developments and trends in their field to ensure that their research remains relevant and impactful. This may involve attending conferences, workshops, and seminars, reading academic journals and other publications, and participating in professional development opportunities.

Types of Researchers There are many types of researchers, depending on their areas of expertise, research methods, and the types of questions they seek to answer. Here are some examples:

• Basic Researchers: These researchers focus on understanding fundamental concepts and phenomena in a particular field. Their work may not have immediate practical applications, but it lays the groundwork for applied research.
• Applied Researchers: These researchers seek to apply basic research findings to real-world problems and situations. They may work in fields such as engineering, medicine, or psychology.
• Clinical Researchers: These researchers conduct studies with human subjects to better understand disease, illness, and treatment options. They may work in hospitals, universities, or research institutes.
• Epidemiologists : These researchers study the spread and distribution of disease in populations, and work to develop strategies for disease prevention and control.
• Social Scientists: These researchers study human behavior and society, using methods such as surveys, experiments, and observations. They may work in fields such as psychology, sociology, or anthropology.
• Natural Scientists: These researchers study the natural world, including the physical, chemical, and biological processes that govern it. They may work in fields such as physics, chemistry, or biology.
• Data Scientists : These researchers use statistical and computational methods to analyze large datasets and derive insights from them. They may work in fields such as machine learning, artificial intelligence, or business analytics.
• Policy Researchers: These researchers study policy issues, such as healthcare, education, or environmental regulations, and work to develop evidence-based policy recommendations. They may work in government agencies, think tanks, or non-profit organizations.

What is the workplace of a Researcher like?

The workplace of a researcher can vary greatly depending on the field and area of study. Researchers can work in a variety of settings, including academic institutions, government agencies, non-profit organizations, and private companies.

In academic settings, researchers often work in universities or research institutions, conducting experiments and analyzing data to develop new theories and insights into various fields of study. They may also teach courses and mentor students in their area of expertise.

In government agencies, researchers may work on projects related to public policy, health, and safety. They may be responsible for conducting research to support the development of new regulations or programs, analyzing data to assess the effectiveness of existing policies, or providing expertise on specific issues.

Non-profit organizations often employ researchers to study social and environmental issues, such as poverty, climate change, and human rights. These researchers may conduct surveys and collect data to understand the impact of various programs and initiatives, and use this information to advocate for policy changes or other interventions.

Private companies also employ researchers, particularly in industries such as technology and healthcare. These researchers may be responsible for developing new products, improving existing technologies, or conducting market research to understand consumer preferences and behaviors.

Regardless of the setting, researchers typically spend a significant amount of time conducting research, analyzing data, and communicating their findings through presentations, reports, and publications. They may also collaborate with other researchers or professionals in their field, attend conferences and workshops, and stay up-to-date with the latest research and developments in their area of expertise.

Frequently Asked Questions

Academic writer vs researcher.

An academic writer is someone who produces written material for academic purposes, such as research papers, essays, and other scholarly works. Academic writers may work as freelance writers, editors, or as staff writers for academic institutions or publishers.

On the other hand, a researcher is someone who conducts original research to generate new knowledge or validate existing knowledge. Researchers may work in academic settings, government agencies, private companies, or non-profit organizations. They typically design and execute experiments, surveys, or other data collection methods, analyze the data, and draw conclusions based on their findings.

While there may be some overlap between the skills required for academic writing and research, they are distinct activities with different goals. Academic writers often rely on the research of others to support their arguments, while researchers generate new knowledge through their own experiments and data analysis. However, academic writers may also be researchers who write about their own research findings.

Continue reading

The link between social work research and practice

When thinking about social work, some may consider the field to solely focus on clinical interventions with individuals or groups.

There may be a mistaken impression that research is not a part of the social work profession. This is completely false. Rather, the two have been and will continue to need to be intertwined.

This guide covers why social workers should care about research, how both social work practice and social work research influence and guide each other, how to build research skills both as a student and as a professional working in the field, and the benefits of being a social worker with strong research skills. 

A selection of social work research jobs are also discussed.  

• Social workers and research
• Evidence-based practice
• Practice and research
• Research and practice
• Build research skills
• Social worker as researcher
• Benefits of research skills
• Research jobs

Why should social workers care about research?

Sometimes it may seem as though social work practice and social work research are two separate tracks running parallel to each other – they both seek to improve the lives of clients, families and communities, but they don’t interact. This is not the way it is supposed to work.

Research and practice should be intertwined, with each affecting the other and improving processes on both ends, so that it leads to better outcomes for the population we’re serving.

Section 5 of the NASW Social Work Code of Ethics is focused on social workers’ ethical responsibilities to the social work profession. There are two areas in which research is mentioned in upholding our ethical obligations: for the integrity of the profession (section 5.01) and for evaluation and research (section 5.02). 

Some of the specific guidance provided around research and social work include:

• 5.01(b): …Social workers should protect, enhance, and improve the integrity of the profession through appropriate study and research, active discussion, and responsible criticism of the profession.
• 5.01(d): Social workers should contribute to the knowledge base of social work and share with colleagues their knowledge related to practice, research, and ethics…
• 5.02(a) Social workers should monitor and evaluate policies, the implementation of programs, and practice interventions.
• 5.02(b) Social workers should promote and facilitate evaluation and research to contribute to the development of knowledge.
• 5.02(c) Social workers should critically examine and keep current with emerging knowledge relevant to social work and fully use evaluation and research evidence in their professional practice.
• 5.02(q) Social workers should educate themselves, their students, and their colleagues about responsible research practices.

Evidence-based practice and evidence-based treatment

In order to strengthen the profession and determine that the interventions we are providing are, in fact, effective, we must conduct research. When research and practice are intertwined, this leads practitioners to develop evidence-based practice (EBP) and evidence-based treatment (EBT).

Evidence-based practice is, according to The National Association of Social Workers (NASW) , a process involving creating an answerable question based on a client or organizational need, locating the best available evidence to answer the question, evaluating the quality of the evidence as well as its applicability, applying the evidence, and evaluating the effectiveness and efficiency of the solution. 

Evidence-based treatment is any practice that has been established as effective through scientific research according to a set of explicit criteria (Drake et al., 2001). These are interventions that, when applied consistently, routinely produce improved client outcomes. 

For example, Cognitive Behavioral Therapy (CBT) was one of a variety of interventions for those with anxiety disorders. Researchers wondered if CBT was better than other intervention options in producing positive, consistent results for clients.

So research was conducted comparing multiple types of interventions, and the evidence (research results) demonstrated that CBT was the best intervention.

The anecdotal evidence from practice combined with research evidence determined that CBT should become the standard treatment for those diagnosed with anxiety. Now more social workers are getting trained in CBT methods in order to offer this as a treatment option to their clients.

How does social work practice affect research?

Social work practice provides the context and content for research. For example, agency staff was concerned about the lack of nutritional food in their service area, and heard from clients that it was too hard to get to a grocery store with a variety of foods, because they didn’t have transportation, or public transit took too long. 

So the agency applied for and received a grant to start a farmer’s market in their community, an urban area that was considered a food desert. This program accepted their state’s version of food stamps as a payment option for the items sold at the farmer’s market.

The agency used their passenger van to provide free transportation to and from the farmer’s market for those living more than four blocks from the market location.

The local university also had a booth each week at the market with nursing and medical students checking blood pressure and providing referrals to community agencies that could assist with medical needs. The agency was excited to improve the health of its clients by offering this program.

But how does the granting foundation know if this was a good use of their money? This is where research and evaluation comes in. Research could gather data to answer a number of questions. Here is but a small sample:

• How many community members visited each week and purchased fruits and vegetables? 
• How many took advantage of the transportation provided, and how many walked to the market? 
• How many took advantage of the blood pressure checks? Were improvements seen in those numbers for those having repeat blood pressure readings throughout the market season? 
• How much did the self-reported fruit and vegetable intake increase for customers? 
• What barriers did community members report in visiting and buying food from the market (prices too high? Inconvenient hours?)
• Do community members want the program to continue next year?
• Was the program cost-effective, or did it waste money by paying for a driver and for gasoline to offer free transportation that wasn’t utilized? What are areas where money could be saved without compromising the quality of the program?
• What else needs to be included in this program to help improve the health of community members?

How does research affect social work practice?

Research can guide practice to implement proven strategies. It can also ask the ‘what if’ or ‘how about’ questions that can open doors for new, innovative interventions to be developed (and then research the effectiveness of those interventions).

Engel and Schutt (2017) describe four categories of research used in social work:

• Descriptive research is research in which social phenomena are defined and described. A descriptive research question would be ‘How many homeless women with substance use disorder live in the metro area?’
• Exploratory research seeks to find out how people get along in the setting under question, what meanings they give to their actions, and what issues concern them. An example research question would be ‘What are the barriers to homeless women with substance use disorder receiving treatment services?’
• Explanatory research seeks to identify causes and effects of social phenomena. It can be used to rule out other explanations for findings and show how two events are related to each other.  An explanatory research question would be ‘Why do women with substance use disorder become homeless?’
• Evaluation research describes or identifies the impact of social programs and policies. This type of research question could be ‘How effective was XYZ treatment-first program that combined housing and required drug/alcohol abstinence in keeping women with substance use disorder in stable housing 2 years after the program ended?’

Each of the above types of research can answer important questions about the population, setting or intervention being provided. This can help practitioners determine which option is most effective or cost-efficient or that clients are most likely to adhere to. In turn, this data allows social workers to make informed choices on what to keep in their practice, and what needs changing. 

How to build research skills while in school

There are a number of ways to build research skills while a student.  BSW and MSW programs require a research course, but there are other ways to develop these skills beyond a single class:

• Volunteer to help a professor working in an area of interest. Professors are often excited to share their knowledge and receive extra assistance from students with similar interests.
• Participate in student research projects where you’re the subject. These are most often found in psychology departments. You can learn a lot about the informed consent process and how data is collected by volunteering as a research participant.  Many of these studies also pay a small amount, so it’s an easy way to earn a bit of extra money while you’re on campus. 
• Create an independent study research project as an elective and work with a professor who is an expert in an area you’re interested in.  You’d design a research study, collect the data, analyze it, and write a report or possibly even an article you can submit to an academic journal.
• Some practicum programs will have you complete a small evaluation project or assist with a larger research project as part of your field education hours. 
• In MSW programs, some professors hire students to conduct interviews or enter data on their funded research projects. This could be a good part time job while in school.
• Research assistant positions are more common in MSW programs, and these pay for some or all your tuition in exchange for working a set number of hours per week on a funded research project.

How to build research skills while working as a social worker

Social service agencies are often understaffed, with more projects to complete than there are people to complete them.

Taking the initiative to volunteer to survey clients about what they want and need, conduct an evaluation on a program, or seeing if there is data that has been previously collected but not analyzed and review that data and write up a report can help you stand out from your peers, be appreciated by management and other staff, and may even lead to a raise, a promotion, or even new job opportunities because of the skills you’ve developed.

Benefits of being a social worker with strong research skills

Social workers with strong research skills can have the opportunity to work on various projects, and at higher levels of responsibility. 

Many can be promoted into administration level positions after demonstrating they understand how to conduct, interpret and report research findings and apply those findings to improving the agency and their programs.

There’s also a level of confidence knowing you’re implementing proven strategies with your clients. 

Social work research jobs

There are a number of ways in which you can blend interests in social work and research. A quick search on Glassdoor.com and Indeed.com retrieved the following positions related to social work research:

• Research Coordinator on a clinical trial offering psychosocial supportive interventions and non-addictive pain treatments to minimize opioid use for pain.
• Senior Research Associate leading and overseeing research on a suite of projects offered in housing, mental health and corrections.
• Research Fellow in a school of social work
• Project Policy Analyst for large health organization
• Health Educator/Research Specialist to implement and evaluate cancer prevention and screening programs for a health department
• Research Interventionist providing Cognitive Behavioral Therapy for insomnia patients participating in a clinical trial
• Research Associate for Child Care and Early Education
• Social Services Data Researcher for an organization serving adults with disabilities.
• Director of Community Health Equity Research Programs evaluating health disparities.

No matter your population or area of interest, you’d likely be able to find a position that integrated research and social work. 

Social work practice and research are and should remain intertwined. This is the only way we can know what questions to ask about the programs and services we are providing, and ensure our interventions are effective. 

There are many opportunities to develop research skills while in school and while working in the field, and these skills can lead to some interesting positions that can make a real difference to clients, families and communities. 

Drake, R. E., Goldman, H., Leff, H. S., Lehman, A. F., Dixon, L., Mueser, K. T., et al. (2001). Implementing evidence-based practices in routine mental health service settings. Psychiatric Services, 52(2), 179-182. 

Engel, R.J., & Schutt, R.K. (2017). The Practice of Research in Social Work. Sage.

National Association of Social Workers. (n.d). Evidence Based Practice. Retrieved from: https://www.socialworkers.org/News/Research-Data/Social-Work-Policy-Research/Evidence-Based-Practice

• Skip to main content
• Skip to primary sidebar
• Skip to footer
• QuestionPro

• Solutions Industries Gaming Automotive Sports and events Education Government Travel & Hospitality Financial Services Healthcare Cannabis Technology Use Case NPS+ Communities Audience Contactless surveys Mobile LivePolls Member Experience GDPR Positive People Science 360 Feedback Surveys
• Resources Blog eBooks Survey Templates Case Studies Training Help center

Home Market Research

What is Field Research: Definition, Methods, Examples and Advantages

What is Field Research?

Field research is defined as a qualitative method of data collection that aims to observe, interact and understand people while they are in a natural environment. For example, nature conservationists observe behavior of animals in their natural surroundings and the way they react to certain scenarios. In the same way, social scientists conducting field research may conduct interviews or observe people from a distance to understand how they behave in a social environment and how they react to situations around them.

Learn more about: Market Research

Field research encompasses a diverse range of social research methods including direct observation, limited participation, analysis of documents and other information, informal interviews, surveys etc. Although field research is generally characterized as qualitative research, it often involves multiple aspects of quantitative research in it.

Field research typically begins in a specific setting although the end objective of the study is to observe and analyze the specific behavior of a subject in that setting. The cause and effect of a certain behavior, though, is tough to analyze due to presence of multiple variables in a natural environment. Most of the data collection is based not entirely on cause and effect but mostly on correlation. While field research looks for correlation, the small sample size makes it difficult to establish a causal relationship between two or more variables.

LEARN ABOUT: Best Data Collection Tools

Methods of Field Research

Field research is typically conducted in 5 distinctive methods. They are:

• Direct Observation

In this method, the data is collected via an observational method or subjects in a natural environment. In this method, the behavior or outcome of situation is not interfered in any way by the researcher. The advantage of direct observation is that it offers contextual data on people management , situations, interactions and the surroundings. This method of field research is widely used in a public setting or environment but not in a private environment as it raises an ethical dilemma.

• Participant Observation

In this method of field research, the researcher is deeply involved in the research process, not just purely as an observer, but also as a participant. This method too is conducted in a natural environment but the only difference is the researcher gets involved in the discussions and can mould the direction of the discussions. In this method, researchers live in a comfortable environment with the participants of the research design , to make them comfortable and open up to in-depth discussions.

• Ethnography

Ethnography is an expanded observation of social research and social perspective and the cultural values of an  entire social setting. In ethnography, entire communities are observed objectively. For example,  if a researcher would like to understand how an Amazon tribe lives their life and operates, he/she may chose to observe them or live amongst them and silently observe their day-to-day behavior.

LEARN ABOUT: Behavioral Targeting

• Qualitative Interviews

Qualitative interviews are close-ended questions that are asked directly to the research subjects. The qualitative interviews could be either informal and conversational, semi-structured, standardized and open-ended or a mix of all the above three. This provides a wealth of data to the researcher that they can sort through. This also helps collect relational data. This method of field research can use a mix of one-on-one interviews, focus groups and text analysis .

LEARN ABOUT: Qualitative Interview

A case study research is an in-depth analysis of a person, situation or event. This method may look difficult to operate, however, it is one of the simplest ways of conducting research as it involves a deep dive and thorough understanding the data collection methods and inferring the data.

Steps in Conducting Field Research

Due to the nature of field research, the magnitude of timelines and costs involved, field research can be very tough to plan, implement and measure. Some basic steps in the management of field research are:

• Build the Right Team: To be able to conduct field research, having the right team is important. The role of the researcher and any ancillary team members is very important and defining the tasks they have to carry out with defined relevant milestones is important. It is important that the upper management too is vested in the field research for its success.
• Recruiting People for the Study: The success of the field research depends on the people that the study is being conducted on. Using sampling methods , it is important to derive the people that will be a part of the study.
• Data Collection Methodology: As spoken in length about above, data collection methods for field research are varied. They could be a mix of surveys, interviews, case studies and observation. All these methods have to be chalked out and the milestones for each method too have to be chalked out at the outset. For example, in the case of a survey, the survey design is important that it is created and tested even before the research begins.
• Site Visit: A site visit is important to the success of the field research and it is always conducted outside of traditional locations and in the actual natural environment of the respondent/s. Hence, planning a site visit alongwith the methods of data collection is important.
• Data Analysis: Analysis of the data that is collected is important to validate the premise of the field research and  decide the outcome of the field research.
• Communicating Results: Once the data is analyzed, it is important to communicate the results to the stakeholders of the research so that it could be actioned upon.

LEARN ABOUT: Research Process Steps

Field Research Notes

Keeping an ethnographic record is very important in conducting field research. Field notes make up one of the most important aspects of the ethnographic record. The process of field notes begins as the researcher is involved in the observational research process that is to be written down later.

Types of Field Research Notes

The four different kinds of field notes are:

• Job Notes: This method of taking notes is while the researcher is in the study. This could be in close proximity and in open sight with the subject in study. The notes here are short, concise and in condensed form that can be built on by the researcher later. Most researchers do not prefer this method though due to the fear of feeling that the respondent may not take them seriously.
• Field Notes Proper: These notes are to be expanded on immediately after the completion of events. The notes have to be detailed and the words have to be as close to possible as the subject being studied.
• Methodological Notes: These notes contain methods on the research methods used by the researcher, any new proposed research methods and the way to monitor their progress. Methodological notes can be kept with field notes or filed separately but they find their way to the end report of a study.
• Journals and Diaries: This method of field notes is an insight into the life of the researcher. This tracks all aspects of the researchers life and helps eliminate the Halo effect or any research bias that may have cropped up during the field research.

LEARN ABOUT: Causal Research

Reasons to Conduct Field Research

Field research has been commonly used in the 20th century in the social sciences. But in general, it takes a lot of time to conduct and complete, is expensive and in a lot of cases invasive. So why then is this commonly used and is preferred by researchers to validate data? We look at 4 major reasons:

• Overcoming lack of data: Field research resolves the major issue of gaps in data. Very often, there is limited to no data about a topic in study, especially in a specific environment analysis . The research problem might be known or suspected but there is no way to validate this without primary research and data. Conducting field research helps not only plug-in gaps in data but collect supporting material and hence is a preferred research method of researchers.
• Understanding context of the study: In many cases, the data collected is adequate but field research is still conducted. This helps gain insight into the existing data. For example, if the data states that horses from a stable farm generally win races because the horses are pedigreed and the stable owner hires the best jockeys. But conducting field research can throw light into other factors that influence the success like quality of fodder and care provided and conducive weather conditions.
• Increasing the quality of data: Since this research method uses more than one tool to collect data, the data is of higher quality. Inferences can be made from the data collected and can be statistically analyzed via the triangulation of data.
• Collecting ancillary data: Field research puts the researchers in a position of localized thinking which opens them new lines of thinking. This can help collect data that the study didn’t account to collect.

LEARN ABOUT: Behavioral Research

Examples of Field Research

Some examples of field research are:

• Decipher social metrics in a slum Purely by using observational methods and in-depth interviews, researchers can be part of a community to understand the social metrics and social hierarchy of a slum. This study can also understand the financial independence and day-to-day operational nuances of a slum. The analysis of this data can provide an insight into how different a slum is from structured societies.
• U nderstand the impact of sports on a child’s development This method of field research takes multiple years to conduct and the sample size can be very large. The data analysis of this research provides insights into how the kids of different geographical locations and backgrounds respond to sports and the impact of sports on their all round development.
• Study animal migration patterns Field research is used extensively to study flora and fauna. A major use case is scientists monitoring and studying animal migration patterns with the change of seasons. Field research helps collect data across years and that helps draw conclusions about how to safely expedite the safe passage of animals.

LEARN ABOUT:  Social Communication Questionnaire

Advantages of Field Research

The advantages of field research are:

• It is conducted in a real-world and natural environment where there is no tampering of variables and the environment is not doctored.
• Due to the study being conducted in a comfortable environment, data can be collected even about ancillary topics.
• The researcher gains a deep understanding into the research subjects due to the proximity to them and hence the research is extensive, thorough and accurate.

Disadvantages of Field Research

The disadvantages of field research are:

• The studies are expensive and time-consuming and can take years to complete.
• It is very difficult for the researcher to distance themselves from a bias in the research study.
• The notes have to be exactly what the researcher says but the nomenclature is very tough to follow.
• It is an interpretive method and this is subjective and entirely dependent on the ability of the researcher.
• In this method, it is impossible to control external variables and this constantly alters the nature of the research.

LEARN ABOUT: 12 Best Tools for Researchers

MORE LIKE THIS

Trend Report: Guide for Market Dynamics & Strategic Analysis

May 29, 2024

Cannabis Industry Business Intelligence: Impact on Research

May 28, 2024

Top 10 Dynata Alternatives & Competitors

May 27, 2024

What Are My Employees Really Thinking? The Power of Open-ended Survey Analysis

May 24, 2024

Other categories

• Academic Research
• Artificial Intelligence
• Assessments
• Brand Awareness
• Case Studies
• Communities
• Consumer Insights
• Customer effort score
• Customer Engagement
• Customer Experience
• Customer Loyalty
• Customer Research
• Customer Satisfaction
• Employee Benefits
• Employee Engagement
• Employee Retention
• Friday Five
• General Data Protection Regulation
• Insights Hub
• Life@QuestionPro
• Market Research
• Mobile diaries
• Mobile Surveys
• New Features
• Online Communities
• Question Types
• Questionnaire
• QuestionPro Products
• Release Notes
• Research Tools and Apps
• Revenue at Risk
• Survey Templates
• Training Tips
• Uncategorized
• Video Learning Series
• What’s Coming Up
• Workforce Intelligence

Get science-backed answers as you write with Paperpal's Research feature

What is Research Methodology? Definition, Types, and Examples

Research methodology 1,2 is a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses. A research methodology is like a plan for carrying out research and helps keep researchers on track by limiting the scope of the research. Several aspects must be considered before selecting an appropriate research methodology, such as research limitations and ethical concerns that may affect your research.

The research methodology section in a scientific paper describes the different methodological choices made, such as the data collection and analysis methods, and why these choices were selected. The reasons should explain why the methods chosen are the most appropriate to answer the research question. A good research methodology also helps ensure the reliability and validity of the research findings. There are three types of research methodology—quantitative, qualitative, and mixed-method, which can be chosen based on the research objectives.

What is research methodology ?

A research methodology describes the techniques and procedures used to identify and analyze information regarding a specific research topic. It is a process by which researchers design their study so that they can achieve their objectives using the selected research instruments. It includes all the important aspects of research, including research design, data collection methods, data analysis methods, and the overall framework within which the research is conducted. While these points can help you understand what is research methodology, you also need to know why it is important to pick the right methodology.

Why is research methodology important?

Having a good research methodology in place has the following advantages: 3

• Helps other researchers who may want to replicate your research; the explanations will be of benefit to them.
• You can easily answer any questions about your research if they arise at a later stage.
• A research methodology provides a framework and guidelines for researchers to clearly define research questions, hypotheses, and objectives.
• It helps researchers identify the most appropriate research design, sampling technique, and data collection and analysis methods.
• A sound research methodology helps researchers ensure that their findings are valid and reliable and free from biases and errors.
• It also helps ensure that ethical guidelines are followed while conducting research.
• A good research methodology helps researchers in planning their research efficiently, by ensuring optimum usage of their time and resources.

Writing the methods section of a research paper? Let Paperpal help you achieve perfection

Types of research methodology.

There are three types of research methodology based on the type of research and the data required. 1

• Quantitative research methodology focuses on measuring and testing numerical data. This approach is good for reaching a large number of people in a short amount of time. This type of research helps in testing the causal relationships between variables, making predictions, and generalizing results to wider populations.
• Qualitative research methodology examines the opinions, behaviors, and experiences of people. It collects and analyzes words and textual data. This research methodology requires fewer participants but is still more time consuming because the time spent per participant is quite large. This method is used in exploratory research where the research problem being investigated is not clearly defined.
• Mixed-method research methodology uses the characteristics of both quantitative and qualitative research methodologies in the same study. This method allows researchers to validate their findings, verify if the results observed using both methods are complementary, and explain any unexpected results obtained from one method by using the other method.

What are the types of sampling designs in research methodology?

Sampling 4 is an important part of a research methodology and involves selecting a representative sample of the population to conduct the study, making statistical inferences about them, and estimating the characteristics of the whole population based on these inferences. There are two types of sampling designs in research methodology—probability and nonprobability.

• Probability sampling

In this type of sampling design, a sample is chosen from a larger population using some form of random selection, that is, every member of the population has an equal chance of being selected. The different types of probability sampling are:

• Systematic —sample members are chosen at regular intervals. It requires selecting a starting point for the sample and sample size determination that can be repeated at regular intervals. This type of sampling method has a predefined range; hence, it is the least time consuming.
• Stratified —researchers divide the population into smaller groups that don’t overlap but represent the entire population. While sampling, these groups can be organized, and then a sample can be drawn from each group separately.
• Cluster —the population is divided into clusters based on demographic parameters like age, sex, location, etc.
• Convenience —selects participants who are most easily accessible to researchers due to geographical proximity, availability at a particular time, etc.
• Purposive —participants are selected at the researcher’s discretion. Researchers consider the purpose of the study and the understanding of the target audience.
• Snowball —already selected participants use their social networks to refer the researcher to other potential participants.
• Quota —while designing the study, the researchers decide how many people with which characteristics to include as participants. The characteristics help in choosing people most likely to provide insights into the subject.

What are data collection methods?

During research, data are collected using various methods depending on the research methodology being followed and the research methods being undertaken. Both qualitative and quantitative research have different data collection methods, as listed below.

Qualitative research 5

• One-on-one interviews: Helps the interviewers understand a respondent’s subjective opinion and experience pertaining to a specific topic or event
• Document study/literature review/record keeping: Researchers’ review of already existing written materials such as archives, annual reports, research articles, guidelines, policy documents, etc.
• Focus groups: Constructive discussions that usually include a small sample of about 6-10 people and a moderator, to understand the participants’ opinion on a given topic.
• Qualitative observation : Researchers collect data using their five senses (sight, smell, touch, taste, and hearing).

Quantitative research 6

• Sampling: The most common type is probability sampling.
• Interviews: Commonly telephonic or done in-person.
• Observations: Structured observations are most commonly used in quantitative research. In this method, researchers make observations about specific behaviors of individuals in a structured setting.
• Document review: Reviewing existing research or documents to collect evidence for supporting the research.
• Surveys and questionnaires. Surveys can be administered both online and offline depending on the requirement and sample size.

Let Paperpal help you write the perfect research methods section. Start now!

What are data analysis methods.

The data collected using the various methods for qualitative and quantitative research need to be analyzed to generate meaningful conclusions. These data analysis methods 7 also differ between quantitative and qualitative research.

Quantitative research involves a deductive method for data analysis where hypotheses are developed at the beginning of the research and precise measurement is required. The methods include statistical analysis applications to analyze numerical data and are grouped into two categories—descriptive and inferential.

Descriptive analysis is used to describe the basic features of different types of data to present it in a way that ensures the patterns become meaningful. The different types of descriptive analysis methods are:

• Measures of frequency (count, percent, frequency)
• Measures of central tendency (mean, median, mode)
• Measures of dispersion or variation (range, variance, standard deviation)
• Measure of position (percentile ranks, quartile ranks)

Inferential analysis is used to make predictions about a larger population based on the analysis of the data collected from a smaller population. This analysis is used to study the relationships between different variables. Some commonly used inferential data analysis methods are:

• Correlation: To understand the relationship between two or more variables.
• Cross-tabulation: Analyze the relationship between multiple variables.
• Regression analysis: Study the impact of independent variables on the dependent variable.
• Frequency tables: To understand the frequency of data.
• Analysis of variance: To test the degree to which two or more variables differ in an experiment.

Qualitative research involves an inductive method for data analysis where hypotheses are developed after data collection. The methods include:

• Content analysis: For analyzing documented information from text and images by determining the presence of certain words or concepts in texts.
• Narrative analysis: For analyzing content obtained from sources such as interviews, field observations, and surveys. The stories and opinions shared by people are used to answer research questions.
• Discourse analysis: For analyzing interactions with people considering the social context, that is, the lifestyle and environment, under which the interaction occurs.
• Grounded theory: Involves hypothesis creation by data collection and analysis to explain why a phenomenon occurred.
• Thematic analysis: To identify important themes or patterns in data and use these to address an issue.

How to choose a research methodology?

Here are some important factors to consider when choosing a research methodology: 8

• Research objectives, aims, and questions —these would help structure the research design.
• Review existing literature to identify any gaps in knowledge.
• Check the statistical requirements —if data-driven or statistical results are needed then quantitative research is the best. If the research questions can be answered based on people’s opinions and perceptions, then qualitative research is most suitable.
• Sample size —sample size can often determine the feasibility of a research methodology. For a large sample, less effort- and time-intensive methods are appropriate.
• Constraints —constraints of time, geography, and resources can help define the appropriate methodology.

Got writer’s block? Kickstart your research paper writing with Paperpal now!

How to write a research methodology .

A research methodology should include the following components: 3,9

• Research design —should be selected based on the research question and the data required. Common research designs include experimental, quasi-experimental, correlational, descriptive, and exploratory.
• Research method —this can be quantitative, qualitative, or mixed-method.
• Reason for selecting a specific methodology —explain why this methodology is the most suitable to answer your research problem.
• Research instruments —explain the research instruments you plan to use, mainly referring to the data collection methods such as interviews, surveys, etc. Here as well, a reason should be mentioned for selecting the particular instrument.
• Sampling —this involves selecting a representative subset of the population being studied.
• Data collection —involves gathering data using several data collection methods, such as surveys, interviews, etc.
• Data analysis —describe the data analysis methods you will use once you’ve collected the data.
• Research limitations —mention any limitations you foresee while conducting your research.
• Validity and reliability —validity helps identify the accuracy and truthfulness of the findings; reliability refers to the consistency and stability of the results over time and across different conditions.
• Ethical considerations —research should be conducted ethically. The considerations include obtaining consent from participants, maintaining confidentiality, and addressing conflicts of interest.

Streamline Your Research Paper Writing Process with Paperpal

The methods section is a critical part of the research papers, allowing researchers to use this to understand your findings and replicate your work when pursuing their own research. However, it is usually also the most difficult section to write. This is where Paperpal can help you overcome the writer’s block and create the first draft in minutes with Paperpal Copilot, its secure generative AI feature suite.  

With Paperpal you can get research advice, write and refine your work, rephrase and verify the writing, and ensure submission readiness, all in one place. Here’s how you can use Paperpal to develop the first draft of your methods section.  

• Generate an outline: Input some details about your research to instantly generate an outline for your methods section 
• Develop the section: Use the outline and suggested sentence templates to expand your ideas and develop the first draft.  
• P araph ras e and trim : Get clear, concise academic text with paraphrasing that conveys your work effectively and word reduction to fix redundancies. 
• Choose the right words: Enhance text by choosing contextual synonyms based on how the words have been used in previously published work.  
• Check and verify text : Make sure the generated text showcases your methods correctly, has all the right citations, and is original and authentic. .   

You can repeat this process to develop each section of your research manuscript, including the title, abstract and keywords. Ready to write your research papers faster, better, and without the stress? Sign up for Paperpal and start writing today!

Frequently Asked Questions

Q1. What are the key components of research methodology?

A1. A good research methodology has the following key components:

• Research design
• Data collection procedures
• Data analysis methods
• Ethical considerations

Q2. Why is ethical consideration important in research methodology?

A2. Ethical consideration is important in research methodology to ensure the readers of the reliability and validity of the study. Researchers must clearly mention the ethical norms and standards followed during the conduct of the research and also mention if the research has been cleared by any institutional board. The following 10 points are the important principles related to ethical considerations: 10

• Participants should not be subjected to harm.
• Respect for the dignity of participants should be prioritized.
• Full consent should be obtained from participants before the study.
• Participants’ privacy should be ensured.
• Confidentiality of the research data should be ensured.
• Anonymity of individuals and organizations participating in the research should be maintained.
• The aims and objectives of the research should not be exaggerated.
• Affiliations, sources of funding, and any possible conflicts of interest should be declared.
• Communication in relation to the research should be honest and transparent.
• Misleading information and biased representation of primary data findings should be avoided.

Q3. What is the difference between methodology and method?

A3. Research methodology is different from a research method, although both terms are often confused. Research methods are the tools used to gather data, while the research methodology provides a framework for how research is planned, conducted, and analyzed. The latter guides researchers in making decisions about the most appropriate methods for their research. Research methods refer to the specific techniques, procedures, and tools used by researchers to collect, analyze, and interpret data, for instance surveys, questionnaires, interviews, etc.

Research methodology is, thus, an integral part of a research study. It helps ensure that you stay on track to meet your research objectives and answer your research questions using the most appropriate data collection and analysis tools based on your research design.

Accelerate your research paper writing with Paperpal. Try for free now!

• Research methodologies. Pfeiffer Library website. Accessed August 15, 2023. https://library.tiffin.edu/researchmethodologies/whatareresearchmethodologies
• Types of research methodology. Eduvoice website. Accessed August 16, 2023. https://eduvoice.in/types-research-methodology/
• The basics of research methodology: A key to quality research. Voxco. Accessed August 16, 2023. https://www.voxco.com/blog/what-is-research-methodology/
• Sampling methods: Types with examples. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/types-of-sampling-for-social-research/
• What is qualitative research? Methods, types, approaches, examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-qualitative-research-methods-types-examples/
• What is quantitative research? Definition, methods, types, and examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-quantitative-research-types-and-examples/
• Data analysis in research: Types & methods. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/data-analysis-in-research/#Data_analysis_in_qualitative_research
• Factors to consider while choosing the right research methodology. PhD Monster website. Accessed August 17, 2023. https://www.phdmonster.com/factors-to-consider-while-choosing-the-right-research-methodology/
• What is research methodology? Research and writing guides. Accessed August 14, 2023. https://paperpile.com/g/what-is-research-methodology/
• Ethical considerations. Business research methodology website. Accessed August 17, 2023. https://research-methodology.net/research-methodology/ethical-considerations/

Paperpal is a comprehensive AI writing toolkit that helps students and researchers achieve 2x the writing in half the time. It leverages 21+ years of STM experience and insights from millions of research articles to provide in-depth academic writing, language editing, and submission readiness support to help you write better, faster.  

Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.  

Experience the future of academic writing – Sign up to Paperpal and start writing for free!  

Related Reads:

• Dangling Modifiers and How to Avoid Them in Your Writing 
• Webinar: How to Use Generative AI Tools Ethically in Your Academic Writing
• Research Outlines: How to Write An Introduction Section in Minutes with Paperpal Copilot
• How to Paraphrase Research Papers Effectively

Language and Grammar Rules for Academic Writing

Climatic vs. climactic: difference and examples, you may also like, mla works cited page: format, template & examples, how to ace grant writing for research funding..., powerful academic phrases to improve your essay writing , how to write a high-quality conference paper, how paperpal is enhancing academic productivity and accelerating..., academic editing: how to self-edit academic text with..., 4 ways paperpal encourages responsible writing with ai, what are scholarly sources and where can you..., how to write a hypothesis types and examples , what is academic writing: tips for students.

• Program Finder
• Admissions Services
• Course Directory
• Academic Calendar
• Hybrid Campus
• Lecture Series
• Convocation
• Strategy and Development
• Implementation and Impact
• Integrity and Oversight
• In the School
• In the Field
• In Baltimore
• Resources for Practitioners
• Articles & News Releases
• In The News
• Statements & Announcements
• At a Glance
• Student Life
• Strategic Priorities
• Inclusion, Diversity, Anti-Racism, and Equity (IDARE)
• What is Public Health?

Mental health in the workplace: a conversation bridging research and practice

How can we promote mental health in the workplace .

This is a question that Zhiqing (Albert) Zhou , PhD, and Lawanda Lewis are constantly asking themselves in their work, just from different perspectives. As an associate professor in the Department of Mental Health, Dr. Zhou researches how employees’ work-related experiences impact their health, well-being, and safety. As an HR Business Partner who oversees multiple academic departments at the Bloomberg School, Ms. Lewis has firsthand experience with assessing the mental health needs of employees and the effectiveness of workplace mental health and wellness programs. 

This Mental Health Awareness Month, we brought them together for a wide-ranging conversation about research, practice, program implementation, and what still needs to be learned to help workplaces manage and support the mental health of their employees.

This conversation has been edited and condensed for length and clarity.

Lawanda Lewis: Post-COVID, we’re seeing different work modalities, from fully remote work to hybrid work to a mix. Hybrid work seems to be the way of the world now. What approaches can organizations take to better promote mental wellness in a hybrid workforce?

Albert Zhou:  There is consistent evidence of the benefits of hybrid work, such as more flexibility, more autonomy, reducing commuting time, and better work-life balance. Meanwhile, there are reports of remote or hybrid workers feeling lonely or isolated, dealing with the added stress of shared spaces and family responsibilities, and feeling pressure to always appear available and present. We published a study in 2022 in the International Journal of Human Resource Management that found that workers’ mental health was negatively impacted when they felt too closely monitored by their managers.

One way to deal with this is to make sure managers are trained to prepare, support, and better communicate expectations and guidelines for hybrid and remote workers, while giving workers flexibility and more control over their time. Social and emotional support from coworkers and supervisors is also instrumental to building a healthy work life. People should be able to ask questions, connect with their colleagues, and access resources regardless of when and where they’re working. My collaborators and I are trying to understand how hybrid or remote work can be better managed so that workers can enjoy the benefits and reduce the negative consequences for their mental health.

LL: What has recent research revealed about the mental health benefits of transitioning to a four-day work week with no pay reduction?

AZ: We still need to do more research on the four-day work week, and we don’t yet have consistent solutions, even though this topic has been discussed for over 50 years. But there have been pilots and case studies in several countries that have shown evidence of increased productivity. Workers in these studies reported that they are more satisfied with their work, have better work life balance, and experience less stress and burnout. However, one issue that came up is scheduling problems. For example, I’m working for four days, but my clients are not, so how can we align our work? When we studied weekly work cycles , we found that Monday is already the most stressful day. Since working on Friday is off the table, how do I make sure too much work doesn’t pile up on Monday? 

It’s important to note that these pilot programs were tested with a small number of organizations who voluntarily participated, which means they were already open to the idea of a four-day work week. It's unclear, then, whether their practices can be generalized to other workplaces. The transition to a four-day work week may be easier for office workers, but it would be harder for people in industries where people’s work schedules are less flexible, like blue collar workers or healthcare workers. Again, more research is needed, especially with HR professionals like you, since a lot of these changes will be implemented through HR functions. You are at the front line of making sure that it works as planned, taking feedback, and continuously shaping the practice.

I’m learning a lot about HR practices, and I was wondering if you could give examples of programs you have implemented to promote workplace mental health. 

LL:  One of our most important programs is the Johns Hopkins Employee Assistance Program (JHEAP), which provides confidential counseling, resources, and referrals to employees and their families for personal and work-related issues. And we’ve implemented flexible work arrangements. Hybrid or modified hybrid schedules allow employees to meet the needs of their roles and divisions while still managing their personal and work lives. 

We also provide programs that can help employees manage their physical, emotional, social, and financial well-being, like meditation and yoga classes; premium memberships to tools that reduce stress and improve focus, like the Calm app; and the Healthy at Hopkins Wellness Initiative hub for resources and benefits.

Our leadership trainings raise awareness of mental health and unconscious bias and help supervisors recognize and manage employee stress. To reduce the stigma of talking about mental health, we regularly coach managers on how to create open dialogue with their employees about issues like stress and workloads. Through these kinds of initiatives, we want to help managers create a psychologically safe work environment. 

AZ:  Offering a variety of programs is great for addressing individuals’ different needs and creating psychologically safe relationships, while also caring about the overall work environment. Of all these different programs, what has worked well? 

LL:  Our Employee Assistance Program has evolved over the years. The University has been good at adapting it as work set-ups change and employee needs change, so that flexibility has led to a lot of reinventions over the years. Being flexible with our employees’ work arrangements has also worked really well. Everyone is dealing with day-to-day issues and unpredictable situations, so we want managers to balance knowing what needs to be done with caring for their employees. 

JHU’s supervisor trainings have helped managers lead fairly, create open communication, and provide timely feedback so that employees always know where they stand. We also think it’s important to show employees appreciation and recognition for their hard work.

AZ:  Definitely. We’ve seen in research that lack of recognition negatively affects productivity, performance, and mental well-being. It’s always good to see appreciation and recognition coming from the top down. Are there other workplace mental health topics that HR professionals like you are interested in right now?

LL:  I'm interested in learning more about efforts to reduce stigma and promote open dialogue, especially when it comes to relationships between supervisors and their subordinates. What should organizations look out for when managing that relationship?

AZ:  That's a great question because supervisors play an important role in employee mental health. From the research perspective, we develop specific, reliable, and valid measures to assess supervisor behaviors. The commonly used approach is asking workers to answer questions about the frequency of certain supervisor behaviors, such as rudeness or inattention. Those kinds of behaviors are subtle and sometimes low intensity but can affect people’s well-being if experienced regularly.

It's important to note that sometimes employees’ perceptions might not correspond to the actual behavior of the supervisor. The supervisor might not intentionally be rude, but their behaviors can still be perceived as rudeness or incivility. That's why when we study supervisor behaviors, it's important to calibrate across multiple direct reports of the same supervisor. That's an indication of a pattern of behavior and that action needs to be taken in terms of interventions or training. So, I think it’s important for organizations to continuously gather employees’ perceptions and combine data from multiple sources to get a more accurate reflection of supervisor behaviors. To prevent incivility in the workplace, it's important to build an environment where people are aware of their behavior and are mindful of their impact and talk about mental health.

LL:  Reducing mental health stigma is a major theme. We want to raise awareness of resources and make sure that people get the support they need. But when we start talking about illnesses, we start to trickle into the lines of protected health information and figuring out how to handle that information. We have an office that supports employees who need accommodations, but we are still learning. 

AZ: It’s great that HR is thinking about and prioritizing workplace mental health because that’s not the case everywhere. The research on workplace mental health is also still evolving. I’m doing a review piece with a student about disclosure of mental health conditions and how we can foster more open communication so support can be provided. But there’s still a long way to go. As a researcher, I want to keep providing evidence to help teams like yours who are doing actual implementation and supporting employee health and well-being. 

Related Content

Global Mental Health NOW

Activity, Sleep & Dementia

Rev. Pamula Yerby-Hammack Breaking the Stigma of Mental Health

Inside the Movement to Transform Mental Health in Sierra Leone

Autism and Suicidal Thinking: ‘Alarming’ New Insights

Ohio State nav bar

The Ohio State University

• BuckeyeLink
• Find People
• Search Ohio State

So why is research important to social work?

As social workers, we train to be able to see the multitude of invisible lines within the systems that hold our lives together, or divide us. We learn to recognize the disconnects, and to help our clients figure out how to reconnect the dots. We view the world through a lens of person-in-environment, that is to say, we seek to understand the context in which our clients live.

The social sciences have an inherent obligation not only to keep abreast of current relevant research, but also to be competent enough to apply new treatments and insights within their practice. Social workers are truly dedicated professionals who have to complete a minimum number of continuing education credits to continue practicing. We don’t get to pick and choose the individuals we help, which is why we have to constantly develop our cultural competencies to identify the strengths of those we are helping. So, research is important to social work because it helps us be effective!

According to the NASW, research in social work helps us:

• Assess the needs and resources of people in their environments
• Evaluate the effectiveness of social work services in meeting peoples needs
• Demonstrate relative costs and benefits of social work services
• Advance professional education in light of changing contexts for practice
• Understand the impact of legislation and social policy on the clients and communities we serve (Retrieved from http://www.socialworkpolicy.org/research)

I still do not know what my research question will be for my senior thesis, but I am beginning to pare down some topics that interest me such as:

• Effects of childhood trauma
• The school-to-prison pipeline
• Trauma-informed therapies within prisons
• Effectiveness of prison diversion programs

8 thoughts on “ So why is research important to social work? ”

try explaining in detail

article quite informing for an amateur in research

In doing any of interventions;evidence based is needed. Not intuition,you need to do assessment of the problem before intervention.Then again you need to to evaluation on the service you provided if has positive impact to your client.

It is a very informative piece of work

try explaining in detail the points listed as to where the nexus between Research and Social work lie

are there means to conduct dual research projects with your institutions?

Akulu muziika zithu zonse ap tisamachiteso kuvutika iyayi 😏😏

CCleaner (Crap Cleaner) yasir252 is a freeware system optimization, privacy, and cleaning tool. It removes unused files from your system allowing Windows

Leave a Reply Cancel reply

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

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

Along with Stanford news and stories, show me:

• Student information
• Faculty/Staff information

We want to provide announcements, events, leadership messages and resources that are relevant to you. Your selection is stored in a browser cookie which you can remove at any time using “Clear all personalization” below.

Image credit: Claire Scully

Gen Z is growing up: In 2024, the generation born between 1996 to 2010 is expected to overtake Baby Boomers in the full-time workforce, according to a recent analysis by Glassdoor .

They are bringing to the office a different set of values, behaviors, and expectations than prior generations, according to research by Roberta Katz , a former senior research scholar at Stanford’s Center for Advanced Study in the Behavioral Sciences (CASBS) . Katz collaborated with a team of researchers to conduct a large, multi-year study to find out what matters to Gen Z and why – findings that culminated in a book and website .

Stanford Report sat down with Katz to talk about this research and what to expect from Gen Z in the workplace.

1. Gen Z expects change

The world Gen Zers came of age in was fundamentally different from that of their parents and even millennials, people who were born in the early 1980s to 1996.

The world of Gen Z has been defined by technological changes happening at rapid speeds that also reshaped social experiences. Disruption and impermanence have always been part of the world Gen Z experienced – for them, it’s a norm, not an exception.

“There is an expectation of constant change,” said Katz.

Growing up amid uncertainty has given Gen Z a unique set of characteristics, including being flexible and resilient. It has opened them up to new ways of thinking about the future and doing things – and questioning the ways things are done, which leads to the next trait Gen Zers will bring with them to work.

2. Gen Z is pragmatic

Gen Z has a strong sense of self-agency.

Gen Z lives in a world that has always been one search engine result away. If they want to know more about something, they readily seek the answer out for themselves ( even if it’s not always the correct one ).

They question everything and everyone – from their peers, parents, or people at work. “They don’t necessarily see elders as experts,” Katz said. “They want to understand why something is done in a certain way. They’re very pragmatic.”

They are also not afraid to challenge why things are done the way they are.

“When an older person says to them, ‘This is how you should do it,’ they want to check that out for themselves. It doesn’t mean they’re always right; it’s a different way of understanding,” Katz explained.

3. Gen Z wants to make a difference

Gen Zers not only expect change – they demand it.

They are inheriting a set of complex problems – from climate change to inequality to racial injustice, to name but a few – and want to fix it. They want to work for a place that they believe is doing good in the world.

Some Gen Zers will hold their employers accountable on the causes and issues that matter to them.

Katz warns that for some employers, it can be challenging – if not untenable – to take a position on politically charged or sensitive topics. “It is impossible for most institutions that represent lots of people and lots of identities to satisfy everybody,” Katz said.

4. Gen Z values collaboration and teamwork

For some Gen Zers, the digital world helped shape their identity: Through social media and in online groups, they found subcultures to connect and interact with.

They grew up with wikis – websites collaboratively built and edited by its users – and fandoms – enthusiastic and energetic communities centered around a shared, common interest. For example, K-pop sensation BTS has its Army , Beyonce has her Beyhive, and Taylor Swift has her Swifties.

“They’re in a posse – even with their headphones on,” Katz said.

To get things done, they value collaboration.

“There is a hope that everybody who is contributing is in it for the good of the whole,” Katz describes. “They want to have a team spirit.”

5. Gen Z wants leaders who guide by consensus

Gen Z is also less hierarchical than previous generations.

“They don’t believe in hierarchy for hierarchy’s sake,” Katz said. “They do believe in hierarchy where it is useful.”

Instead, Gen Zers prefer leadership that is dependent on expertise that is task or time specific. That could mean they favor management where team members take turns leading the group (known as a “rotating leadership” model). Another style they may prefer is “collaborative leadership,” in which people from across the organization participate in decision-making and problem-solving.

Transparency is also important.

Gen Zers value consensus and they look for leaders who are in service of the group (also called “service leadership”).

6. Gen Z cares about mental health and work-life balance

Gen Z grew up in a period that saw the blurring of the 9-to-5 work schedule and the rise of flexible work models – a mode of working that led to older generations feeling a pressure to always be “on.”

“Work and home life are all so integrated that if you don’t pay attention, you could be working all the time,” said Katz. “I think Gen Z is sensitive to that.”

Having a work-life balance and maintaining mental and physical health is also important to Gen Z.

“They’re placing a value on the human experience and recognizing that life is more than work,” Katz said.

7. Gen Z thinks differently about loyalty

Because Gen Z grew up amid so much change, Gen Z has a different perspective on loyalty.

But as Katz pointed out, “they also grew up with workplaces not being very loyal to their employees.”

Gen Zers were raised in the shadows of the global financial crisis of 2008, an event that has had long-lasting impacts on employment and the nature of work. “It used to be that people went to work for big companies thinking they’d be there for their entire career and that the company would watch out for them: providing health insurance, and so on,” Katz said.

But after the 2008 recession, and even more recently following the COVID-19 pandemic, companies have cut back labor costs and implemented other cost-saving measures, like reducing perks and benefits. Meanwhile, mass layoffs have also been rampant.

“There’s a reason that employees don’t feel the same degree of loyalty, too,” Katz said.

Meanwhile, the gig economy has also been present throughout Gen Zers’ lives, as has the rise of contract work. They are entrepreneurial, which is part of their pragmatic tendencies.

8. Gen Z looks for trust and authenticity

Gen Z also values authenticity.

“Authenticity is about trust,” Katz said. “Words and actions need to match.”

Honesty and openness are important.

For Katz, it’s all about mutually respectful communication. “My bottom line always to employers is stay open to hearing about different ways to get things done, because Gen Z has one foot in the future.”

Katz is associate vice president for strategic planning, emerita, and is currently involved in a strategic role with the Stanford Doerr School of Sustainability and the Stanford Institute for Human-Centered Artificial Intelligence . She also serves as vice chair of the board of the Center for Advanced Study in the Behavioral Sciences (CASBS).

Katz studied Gen Z as part of a multi-year CASBS research project with Sarah Ogilvie, a linguist at the University of Oxford and formerly at Stanford; Jane Shaw, a historian who is the principal of Harris Manchester College at Oxford and was previously dean for religious life at Stanford; and Linda Woodhead, a sociologist at King’s College London. The research was funded by the Knight Foundation.

From 2004 to 2017, Katz served under Stanford University Presidents John Hennessy and Marc Tessier-Lavigne as associate vice president for strategic planning, and in 2017 as interim chief of staff.

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

Research: What Companies Don’t Know About How Workers Use AI

• Jeremie Brecheisen

Three Gallup studies shed light on when and why AI is being used at work — and how employees and customers really feel about it.

Leaders who are exploring how AI might fit into their business operations must not only navigate a vast and ever-changing landscape of tools, but they must also facilitate a significant cultural shift within their organizations. But research shows that leaders do not fully understand their employees’ use of, and readiness for, AI. In addition, a significant number of Americans do not trust business’ use of AI. This article offers three recommendations for leaders to find the right balance of control and trust around AI, including measuring how their employees currently use AI, cultivating trust by empowering managers, and adopting a purpose-led AI strategy that is driven by the company’s purpose instead of a rules-heavy strategy that is driven by fear.

If you’re a leader who wants to shift your workforce toward using AI, you need to do more than manage the implementation of new technologies. You need to initiate a profound cultural shift. At the heart of this cultural shift is trust. Whether the use case for AI is brief and experimental or sweeping and significant, a level of trust must exist between leaders and employees for the initiative to have any hope of success.

• Jeremie Brecheisen is a partner and managing director of The Gallup CHRO Roundtable.

Partner Center

• Biology & Environment
• Clean Energy
• Fusion & Fission
• Physical Sciences
• National Security
• Neutron Science
• Supercomputing
• User Facilities
• Educational Programs
• Procurement
• Small Business Programs
• Leadership Team
• Initiatives
• Visiting ORNL
• Fact Sheets
• Virtual Tour

Physics Division

• Neutrino Research Group
• Neutron Symmetries Group
• Relativistic Nuclear Physics Group
• Theoretical and Computational Physics
• Nuclear Structure and Astrophysics
• Radiation Imaging and Advanced Diagnostics
• Advanced Detection and Applied Data Science
• Experimental Astrophysics
• High Energy Nuclear Physics
• Low Energy Nuclear Physics
• Nuclear Data
• Theoretical Physics
• Publications
• Research Highlights
• Capabilities

Sean Hollander values team, and beam, work

Sean Hollander beams when he describes his work on the beamline at the Department of Energy’s Oak Ridge National Laboratory.

Hollander, an associate technician in the Neutron Symmetries group who has been at ORNL only since December 2022, is enthusiastic about maintaining and servicing the beamline assemblies and associated hardware at one of the world’s most powerful research facilities.

The beam is the Fundamental Neutron Physics Beamline, which is operated by the Physics Division at the Spallation Neutron Source, a DOE Office of Science user facility at ORNL where scientists use neutrons to study all manner of matter. SNS uses a beam of protons accelerated to almost the speed of light to generate a pulse that strikes a liquid mercury target, producing beams of neutrons. Scientists use the neutrons to probe inside materials. In this case, physicists study the neutrons themselves for clues to the origins of the universe and all that is in it.

But the beam doesn’t maintain itself. It takes a team, and although Hollander is the only technician in his group, many others lend a hand in operating and maintaining the helium liquefier, cryogenics and vacuum system that are required for the instrument and for scientists to accomplish their research.

“There are lots of things to do around beam line assemblies,” Hollander said. “We often have to disassemble and assemble as part of the maintenance.”

The people are the reason he is so effusive, he said. “I really do like it here. The people are really easy to work with and easy to get along with. And it’s something different every day, and that’s what I like.” 

Among the team members he works with are Weijun Yao, cryophysicist; Alexander Saunders, group leader; John Ramsey, chief engineer; Leah Broussard, research scientist; Vince Cianciolo, research staff; Seppo Penttila, guest scientist; Brad Filippone, professor at the California Institute of Technology; and Jason Newby and Chang-Hong Yu, senior researchers in the Neutrino Research group.

Before coming to ORNL last year, Hollander worked seven years at Los Alamos National Laboratory, New Mexico, following somewhat in the footsteps of J. Robert Oppenheimer, the Manhattan Project physicist who started the lab at Los Alamos and also spent time at Oak Ridge, where plutonium was being produced.

At Los Alamos, Hollander ran liquefiers, “and that’s probably what got me the job here,” he said. Much of his time now is spent preparing for an experiment, the Neutron Electric Dipole Moment at the SNS, or nEDM@SNS, which uses the beam of neutrons to precisely measure the neutron’s electric dipole moment. That information could reveal secrets of the universe, and when that happens, Hollander will have had a critical hand in helping physicists understand the nature of matter and how it came into existence.

He is also integral to the neutron “a” and “b”, or Nab, experiment, where he helps with assemblies and whatever else the scientists need. “It’s taking things apart and putting them back together. Then you test them, and then you put the next assembly together,” Hollander said.

Once a week he works with the Neutrino Research group helping build a vacuum chamber to test outgassing of 3D printed material as part of the  Large Enriched Germanium Experiment for Neutrinoless Decay , or LEGEND project.   LEGEND is a collaboration of more than 250 scientists around the world proposing to deploy germanium detectors deep underground in a research lab with the goal of understanding the nature of matter. Again, Hollander’s technical expertise comes to bear on discoveries about the universe.

Hollander recently was recognized for his work, receiving the Best New Technician award from ORNL’s Physical Sciences Directorate “for excellent cryogenic and vacuum work on nEDM and Nab experiments at the SNS,” according to the citation.

Cryogenics and vacuum systems were not always his passion. Before his work at Los Alamos, Hollander, a native New Mexican, was a teacher for 23 years, instructing preschool and elementary Montessori school students in science, social studies and physical education. He received an associate degree from the University of New Mexico, and finally left teaching for good to work at the local national laboratory in 2017. Teaching, he said, had become increasingly a challenge.

But national labs were in his blood: His father was an engineer at Los Alamos, and he grew up around a research enterprise. He developed, with his father mentoring, “a really good mechanical background.” He rebuilt cars, raced dragsters that he worked on, and did many hands-on projects as well as home renovations. Currently, he is working with another kind of beam, renovating his home in Oak Ridge, Tennessee, in his spare time.

Not that there is a lot of that. Hollander and his wife, Tia, a biologist at ORNL, have three active daughters. The family is enjoying their new environment, which has water, flora and fauna that they did not have in New Mexico.

“It’s quite the change, and there are more things to do here,” he said. A golfer and sports fan, he likes to camp with the family, but spends most of his time “trying to keep up with the kids and their sports,” he added. Another thing, it turns out, that keeps him beaming.

UT-Battelle manages ORNL for DOE’s Office of Science, the single largest supporter of basic research in the physical sciences in the United States. DOE’s Office of Science is working to address some of the most pressing challenges of our time. For more information, visit  https://energy.gov/science . —Lawrence Bernard

Media Contact

Organizations, related news.

More From Forbes

Answering 'what is your ideal work environment' in a job interview.

• Share to Facebook
• Share to Twitter
• Share to Linkedin

Employers ask about your ideal work environment to assess fit.

Predicting what you'll be asked in a job interview is challenging. One common question that may leave you stumped if caught off guard is, “What is your ideal work environment?” Another version of this question is, "What type of work environment do you prefer?" Obviously, there is no perfect workplace. But preparing an answer to this question in advance will accomplish two things. First, it will force you to dig deep to identify what’s important to you. Best of all, articulating your vision in a clear and succinct way that aligns with the company’s values will also leave a lasting impression on your future employer.

Your ideal work environment refers to the type of workplace where you will be the most productive and satisfied. Employers ask this question for several reasons. One is to assess cultural fit. They want to know that your desires match what they have to offer. Why? Employees who fit well within an organization are more likely to feel motivated and engaged, resulting in higher productivity. It also gives the hiring manager insight into your personality—something more difficult to glean from a résumé.

Finding an ideal culture match matters just as much to you, the job seeker, as to the employer. So much so that a Glassdoor survey polling over 5,000 respondents from the U.S., U.K., France and Germany found that 73% said they wouldn’t even apply to a company unless its values align with their own. The next time you prepare for an interview, follow these steps to respond to the question, “What is your ideal work environment?”

Reflect on past experiences

The first step is to define your preferences. Look back on past work experiences to identify the environments in which you thrived. Remember, it’s about more than just describing the physical location. Think about factors such as:

• Flexibility
• Work-life balance
• Opportunities for growth
• Collaboration vs. working independently
• Structured vs. ambiguous environments

Then, make a list and prioritize these attributes. Are there any elements on which you could be flexible? Also, note any characteristics you consider deal breakers.

Samsung Slashes Galaxy S24 Price In A Major New Promotion

This is your last chance to shop these 114 best memorial day sales, get up to 50 off during the hoka memorial day sale, research the company.

Some employers ask about your ideal work environment to ensure you researched the company. Check the job description for keywords like creative, fast-paced or team-oriented. To learn more about the company culture , review the corporate website. Pay special attention to the mission statement and careers section. Also, look at social media channels to get a glimpse into the organization’s priorities. Another idea is to create a Google alert to stay on top of breaking news or announcements. Finally, talk to current employees. By scheduling informational interviews, you can get an insider perspective on what it’s like to work there.

Prepare your response

In a job interview, you always want to appear energetic and enthusiastic about the role. So, when you respond, frame your answer in a positive light. For example, instead of describing how you hated working for your micromanaging boss who tracked your every move, focus on the fact that you’re a self-starter who thrives on flexibility. Highlight what is most important to you and connect it to the organization you’re interviewing with. To make your response more compelling, use real-life examples. By using a storytelling approach, your interview will be engaging and memorable.

Example answers

Here are a few sample responses to this increasingly common interview question:

You enjoy a team-based environment

My ideal work environment is one where I can express my creativity while using my problem-solving skills to overcome obstacles. I enjoy collaborating with team members on challenging assignments. Working in a rewarding environment is also important to me. That’s why I was impressed that you recently created a program to recognize employees who go above and beyond. I find that I’m most productive and motivated when I’m part of a team that celebrates each other’s wins.

You prefer a balance between group and independent projects

I prefer working both in a group setting and independently at times. When I researched your company, I learned that many employees collaborate on projects and also focus on their own responsibilities. I’ve found that this balance is what makes me thrive as an advertising executive. While I enjoy brainstorming sessions, I also like spending time alone to strategize and focus on my day-to-day responsibilities.

You thrive in a remote setting

My ideal work environment centers around working for an organization that empowers its employees. When I read that you are a global company that prioritizes a sense of belonging, I was excited. I am most energized and productive when I am given the flexibility to work remotely for fast-paced, high-growth companies. Given that you promote transparency, work-life balance and asynchronous work, I can make an immediate contribution in this role.

Job interviews are a two-way conversation. If you determine that the company culture and your expectations don’t align, that’s okay. The role may not be a good fit. However, if there is overlap, you can decide whether some preferences are worth compromising. Most importantly, be authentic. It will make you a more attractive candidate and increase the likelihood of finding a job opportunity that is the best fit for you.

Are you a woman who needs help changing careers? Download my FREE 22-page e-book: How Professional Women Can Master Career Change!

• Editorial Standards
• Reprints & Permissions

Join The Conversation

One Community. Many Voices. Create a free account to share your thoughts. 

Forbes Community Guidelines

Our community is about connecting people through open and thoughtful conversations. We want our readers to share their views and exchange ideas and facts in a safe space.

In order to do so, please follow the posting rules in our site's  Terms of Service.   We've summarized some of those key rules below. Simply put, keep it civil.

Your post will be rejected if we notice that it seems to contain:

• False or intentionally out-of-context or misleading information
• Insults, profanity, incoherent, obscene or inflammatory language or threats of any kind
• Attacks on the identity of other commenters or the article's author
• Content that otherwise violates our site's  terms.

User accounts will be blocked if we notice or believe that users are engaged in:

• Continuous attempts to re-post comments that have been previously moderated/rejected
• Racist, sexist, homophobic or other discriminatory comments
• Attempts or tactics that put the site security at risk
• Actions that otherwise violate our site's  terms.

So, how can you be a power user?

• Stay on topic and share your insights
• Feel free to be clear and thoughtful to get your point across
• ‘Like’ or ‘Dislike’ to show your point of view.
• Protect your community.
• Use the report tool to alert us when someone breaks the rules.

Thanks for reading our community guidelines. Please read the full list of posting rules found in our site's  Terms of Service.

Older Workers Opting Out: Fewer People Plan to Work After Age 62

MarketWatch Blog by Alicia H. Munnell

Alicia H. Munnell is a columnist for MarketWatch and director of the Center for Retirement Research at Boston College.

Are older workers more confident in their finances or more realistic about their prospects?

The New York Fed’s research department just reported a major shift in retirement expectations .  Workers in 2024 are less likely to plan to work full time in their 60s than workers before the pandemic, according to responses to the Survey of Consumer Expectations (SCE) Labor Market Survey .

The SCE is a nationally representative, internet-based survey of about 1,300 household heads.  Respondents participate in the panel for about 12 months, with roughly an equal number rotating in and out each month.  The data on retirement expectations come from the Labor Market Survey module, which has been fielded every four months since March 2014.

The survey includes two questions relating to work and retirement.  The first asks respondents younger than age 62: “Thinking about work in general and not just your present job (if you currently work), what do you think is the percent chance that you will work full-time after you reach age 62? ”  A similar second question asks about working beyond age 67.

The responses to these two questions are shown in Figure 1.  In the six years before the pandemic, the percentages for working past age 62 had been fairly stable – averaging 54.6 percent; in the four years since the pandemic, the percentages have been declining, with an average of 49.4 percent – a drop of 5.2 percentage points.  The responses for age 67 also show a decline, but the pattern is less dramatic.  The percentages averaged 35.2 before the pandemic and 32.3 in the four years since, for a drop of 2.9 percentage points. 

According to the authors, the decline was broad-based across age, education, and income groups (see Table 1).  The differences were most striking by gender: the decline was much greater for female workers than for male workers at both ages.  In addition, the decline was also greater for those with household incomes of less than $60,000 than for the higher-income group.

I wish I could say something brilliant about this change in sentiment about working longer in a full-time position.  It’s unsettling given that life expectancy is increasing for much of the population, and in recent years the percentage claiming Social Security benefits at 62 had been declining, and the average retirement age had been increasing.  Is this new sentiment a full-time versus part-time story?  Do the responses reflect confidence due to higher net worth, more stable finances, and a stronger job market?  Or does the shift, as the authors suggest, reflect a cultural change regarding the value of work?  Or, given that study after study shows people consistently retire earlier than planned, are people simply becoming more realistic?

Whatever the answer, changes in work expectations at older ages is an interesting development. 

Read on MarketWatch

Increase the Retirement Age, but Only for Those Who Can Work Longer

Are Employers Willing to Hire Older Workers?

Delay Social Security? Not Everyone Can Do it

Squared Away Blog by Kimberly Blanton

Privacy Overview

Impact of U.S. Labor Productivity Losses from Extreme Heat

Stephie Fried

Gregory Casey

Matthew Gibson

FRBSF Economic Letter 2024-14 | May 28, 2024

Extreme heat decreases labor productivity in sectors like construction, where much work occurs outdoors. Because construction is an important component of investment, lost productivity today will slow how much capital is built up for future use and thus can have long-lasting impacts on overall economic outcomes. Combining estimates of lost labor productivity due to extreme heat with a model of economic growth suggests that, by the year 2200, extreme heat will reduce the U.S. capital stock by 5.4% and annual consumption by 1.8%.

Extreme heat makes it more difficult to perform physical labor. In the United States, this is particularly relevant for agriculture, mining, and construction, where a substantial share of production takes place outdoors. Data from the Bureau of Economic Analysis show that, of these three sectors, construction contributes the most to economic output, which suggests that the impact from lost labor activity due to extreme heat will largely be driven by the effects on the construction sector.

The labor productivity losses in construction today could have long-lasting effects on the U.S. economy because construction is important for investment. Investment is the purchase of capital in the form of goods or services. Thus, if extreme heat lowers investment today, then it will slow the accumulation of capital for future use and have long-lasting impacts on economic outcomes.

In this Economic Letter based on Casey, Fried, and Gibson (2024), we combine economic theory with findings from the climate science literature to project the future economic impacts of U.S. labor productivity losses from extreme heat. We find that future increases in days of extreme heat can be expected to reduce the amount of accumulated capital by approximately 5.4% in 2200 and reduce annual consumption by approximately 1.8%.

Extreme heat and worker productivity

When a person works on a physically intensive task, the body must release heat to maintain a safe internal temperature. If it is not possible to release enough heat, the person can suffer from heat stress. Scientists use wet bulb globe temperature (WBGT), which incorporates the ambient air temperature, humidity, wind speed, and solar irradiance, to determine when people are at risk of heat stress. Rising temperatures increase the risk of heat stress for workers in settings without climate control, such as those who work outdoors.

Worker safety organizations, such as the Occupational Safety and Health Administration, as well as the U.S. military provide guidelines for how much effort individuals can safely exert under different climate conditions. Dunne, Stouffer, and Johns (2013) analyze these guidelines and find that they are consistent across organizations. For “heavy work” that is characteristic of construction and agriculture, the guidelines suggest that heat stress becomes a concern at a WBGT of 25 degrees Celsius (°C), equivalent to 77 degrees Fahrenheit (°F), and that it is not safe to do any work outdoors when WBGT is above 33°C (91°F).

Figure 1 projects the future vulnerability to heat stress for an outdoor worker in the United States, measured in days above certain WBGT thresholds. To construct the figure, we use projections of future weather conditions at the county-level from Rasmussen, Meinshausen, and Kopp (2016). The projections are based on a scenario that assumes no large-scale efforts to limit carbon emissions. To aggregate these projections to the national level, we take a weighted average across counties, where the weights are fixed over time and determined by the current level of outdoor employment in each county.

Figure 1 Projected number of days above WBGT thresholds

The results suggest that future changes in climate will increase exposure to extreme heat for outdoor workers in the United States. The number of days above 25°C for these workers rises substantially between 2020 and 2100, from 22 days to 80 days per year. The number of days above 33°C increases from near zero to almost seven.

Why construction?

To understand how labor productivity losses from extreme heat could affect the economy, Figure 2 divides U.S. economic output from 1950 to 2019 into five sectors: services, manufacturing, construction, mining, and agriculture.

Figure 2 Composition of U.S. economic output

Services (light blue line) and manufacturing (yellow line) play the largest role in the U.S. economy, but they are unlikely to be highly affected by heat. This is because work in these sectors is largely performed indoors and U.S. businesses generally have access to air conditioning (Nath 2022). On the other hand, agriculture, construction, and mining are more likely to entail outdoor work. Among these outdoor sectors, construction makes up the largest share of overall U.S. output. The construction share (dark blue line) has been relatively constant over time, equal to approximately 4%. In contrast, the share of agriculture (green line) has fallen over time and equaled less than 0.2% of output in 2019. The share of the mining sector (red line) has been consistently less than 1%. Projecting these trends into the future, we expect that construction is likely to determine the overall vulnerability of U.S. production to extreme heat.

These results do not imply that the impact of extreme heat on U.S. agriculture and mining is unimportant. Extreme heat’s impact on U.S. agricultural productivity could affect food prices around the world, which could have a disproportionate effect on low-income individuals in the United States and in developing countries. Moreover, these impacts could have negative consequences for U.S. workers in agriculture and their local communities. Relative to the larger share of construction, however, agriculture and mining are not as likely to drive national outcomes.

Consumption versus investment

Economic output can be used for consumption or for investment. Consumption refers to households’ purchases of goods and services, such as food or haircuts, that increase well-being today. Investment refers to purchases of goods and services that are used to produce output in the future, and thus increase well-being in the future. This includes spending by businesses on things like factories and software, as well as the purchase of homes by households. The distinction between consumption and investment matters because a decrease in consumption reduces well-being today but has no impact on future economic outcomes. In contrast, a decrease in investment has no impact on well-being today, but it reduces the accumulation of capital, making it harder to produce both consumption and investment goods and services in the future.

Figure 3 shows the contribution of the five sectors from Figure 2 to consumption and investment. The construction sector is an important component of U.S. investment, accounting for over 20% of investment value-added. Thus, a decrease in construction productivity from extreme heat would reduce investment and thereby have a long-lasting impact on the economy.

Figure 3 Composition of U.S. consumption and investment

The future consequences of increases in extreme heat

To determine the impact of labor productivity losses from extreme heat, we build and simulate an economic model designed to study the impact of sectoral productivity on macroeconomic outcomes. Dunne et al. (2013) provide estimates of how WBGT affects labor productivity in outdoor work. We combine these estimates with the future paths of WBGT shown in Figure 1 to project future changes in productivity in the outdoor sectors. We then feed these reductions in outdoor productivity into our model.

Figure 4 shows the impact of extreme heat on the capital stock in our model. The capital stock is the value of accumulated investment, an important determinant of an economy’s ability to produce output. We compare the size of the capital stock under the scenario depicted in Figure 1 to the size of the capital stock when there is no change in extreme heat exposure after 2019. We find that future increases in extreme heat would lower the capital stock by about 1.4% in 2100 and by 5.4% in 2200. The lower capital stock reduces the economy’s ability to produce output, which in turn reduces consumption. Thus, we find that extreme heat reduces annual consumption by 0.5% in 2100 and 1.8% in 2200.

Figure 4 Impact of extreme heat on capital accumulation

The WBGT paths in Figure 1 and our results in Figure 4 correspond to the most likely climate outcome given a particular path of carbon emissions. However, there is considerable uncertainty over these climate outcomes. As a result, some economists argue that it is important to consider the consequences of other less likely but still possible outcomes (Weitzman 2009). To do so, we simulated the economic effects of an alternative outcome with only a 5% likelihood that retains our given path of carbon emissions but has a larger increase in number of extreme heat days. For example, in that outcome, the number of days with WBGT greater than 25°C increases from 22 in 2020 to 125 in 2100, as opposed to from 22 to 80 as assumed in our main analysis. The outcome would lead to considerably larger consequences from extreme heat, reducing capital accumulation by 18% in 2200 and consumption by 7%.

Some caveats are in order when interpreting the magnitudes from our analysis. We abstract from some ways that companies could adapt to extreme heat, such as relocating production to cooler parts of the United States or shifting work hours to cooler parts of the day. Additionally, while our focus is on the overall consequences of extreme heat on U.S. labor productivity, the effects could vary across income groups and regions of the country. One could also consider the effects of extreme heat in other countries. For example, the impacts are likely to be larger in developing countries, where agriculture is a bigger fraction of output and where work in manufacturing and services is less likely to take place in climate-controlled environments. Finally, the increases in extreme heat days that we study could be paired with decreases in extreme cold days, which could in turn have different implications for labor productivity.

This Letter studies the impact of extreme heat on long-run economic outcomes in the United States. Extreme heat is most likely to affect economic outcomes through the construction sector for two reasons. First, construction makes up a larger share of economic output than other vulnerable sectors, like agriculture. Second, decreases in construction productivity slow capital accumulation and therefore have long-lasting effects on macroeconomic outcomes. Our findings suggest that, under a scenario with no large-scale efforts to reduce carbon emissions, future increases in extreme heat would reduce the capital stock by 5.4% and annual consumption by 1.8% by the year 2200.

Casey, Gregory, Stephie Fried, and Matthew Gibson. 2022. “ Understanding Climate Damages: Consumption versus Investment .” FRB San Francisco Working Paper 2022-21.

Dunne, John P., Ronald J. Stouffer, and Jasmin G. John. 2013. “Reductions in Labour Capacity from Heat Stress under Climate Warming.” Nature Climate Change 3(6), pp. 563–566.

Nath, Ishan B. 2022. “ Climate Change, the Food Problem, and the Challenge of Adaptation through Sectoral Reallocation .” National Bureau of Economic Research Working Paper 27297.

Rasmussen, D.J., Malte Meinshausen, and Robert E. Kopp. 2016. “ Probability-Weighted Ensembles of U.S. County-Level Climate Projections for Climate Risk Analysis .” Journal of Applied Meteorology and Climatolo gy 55(10), pp. 2,301–2,322.

Weitzman, Martin L. 2009. “On Modeling and Interpreting the Economics of Catastrophic Climate Change.” Review of Economics and Statistics 91(1), pp. 1–19.

Opinions expressed in FRBSF Economic Letter do not necessarily reflect the views of the management of the Federal Reserve Bank of San Francisco or of the Board of Governors of the Federal Reserve System. This publication is edited by Anita Todd and Karen Barnes. Permission to reprint portions of articles or whole articles must be obtained in writing. Please send editorial comments and requests for reprint permission to [email protected]