research method sociology secondary data

2.2 Research Methods

Learning objectives.

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

Recall the 6 Steps of the Scientific Method
Differentiate between four kinds of research methods: surveys, field research, experiments, and secondary data analysis.
Explain the appropriateness of specific research approaches for specific topics.

Sociologists examine the social world, see a problem or interesting pattern, and set out to study it. They use research methods to design a study. Planning the research design is a key step in any sociological study. Sociologists generally choose from widely used methods of social investigation: primary source data collection such as survey, participant observation, ethnography, case study, unobtrusive observations, experiment, and secondary data analysis , or use of existing sources. Every research method comes with plusses and minuses, and the topic of study strongly influences which method or methods are put to use. When you are conducting research think about the best way to gather or obtain knowledge about your topic, think of yourself as an architect. An architect needs a blueprint to build a house, as a sociologist your blueprint is your research design including your data collection method.

Making sociologists’ presence invisible is not always realistic for other reasons. That option is not available to a researcher studying prison behaviors, early education, or the Ku Klux Klan. Researchers can’t just stroll into prisons, kindergarten classrooms, or Klan meetings and unobtrusively observe behaviors or attract attention. In situations like these, other methods are needed. Researchers choose methods that best suit their study topics, protect research participants or subjects, and that fit with their overall approaches to research.

As a research method, a survey collects data from subjects who respond to a series of questions about behaviors and opinions, often in the form of a questionnaire or an interview. The survey is one of the most widely used scientific research methods. The standard survey format allows individuals a level of anonymity in which they can express personal ideas.

At some point, most people in the United States respond to some type of survey. The 2020 U.S. Census is an excellent example of a large-scale survey intended to gather sociological data. Since 1790, United States has conducted a survey consisting of six questions to received demographical data pertaining to residents. The questions pertain to the demographics of the residents who live in the United States. Currently, the Census is received by residents in the United Stated and five territories and consists of 12 questions.

Not all surveys are considered sociological research, however, and many surveys people commonly encounter focus on identifying marketing needs and strategies rather than testing a hypothesis or contributing to social science knowledge. Questions such as, “How many hot dogs do you eat in a month?” or “Were the staff helpful?” are not usually designed as scientific research. The Nielsen Ratings determine the popularity of television programming through scientific market research. However, polls conducted by television programs such as American Idol or So You Think You Can Dance cannot be generalized, because they are administered to an unrepresentative population, a specific show’s audience. You might receive polls through your cell phones or emails, from grocery stores, restaurants, and retail stores. They often provide you incentives for completing the survey.

Sociologists conduct surveys under controlled conditions for specific purposes. Surveys gather different types of information from people. While surveys are not great at capturing the ways people really behave in social situations, they are a great method for discovering how people feel, think, and act—or at least how they say they feel, think, and act. Surveys can track preferences for presidential candidates or reported individual behaviors (such as sleeping, driving, or texting habits) or information such as employment status, income, and education levels.

A survey targets a specific population , people who are the focus of a study, such as college athletes, international students, or teenagers living with type 1 (juvenile-onset) diabetes. Most researchers choose to survey a small sector of the population, or a sample , a manageable number of subjects who represent a larger population. The success of a study depends on how well a population is represented by the sample. In a random sample , every person in a population has the same chance of being chosen for the study. As a result, a Gallup Poll, if conducted as a nationwide random sampling, should be able to provide an accurate estimate of public opinion whether it contacts 2,000 or 10,000 people.

After selecting subjects, the researcher develops a specific plan to ask questions and record responses. It is important to inform subjects of the nature and purpose of the survey up front. If they agree to participate, researchers thank subjects and offer them a chance to see the results of the study if they are interested. The researcher presents the subjects with an instrument, which is a means of gathering the information.

A common instrument is a questionnaire. Subjects often answer a series of closed-ended questions . The researcher might ask yes-or-no or multiple-choice questions, allowing subjects to choose possible responses to each question. This kind of questionnaire collects quantitative data —data in numerical form that can be counted and statistically analyzed. Just count up the number of “yes” and “no” responses or correct answers, and chart them into percentages.

Questionnaires can also ask more complex questions with more complex answers—beyond “yes,” “no,” or checkbox options. These types of inquiries use open-ended questions that require short essay responses. Participants willing to take the time to write those answers might convey personal religious beliefs, political views, goals, or morals. The answers are subjective and vary from person to person. How do you plan to use your college education?

Some topics that investigate internal thought processes are impossible to observe directly and are difficult to discuss honestly in a public forum. People are more likely to share honest answers if they can respond to questions anonymously. This type of personal explanation is qualitative data —conveyed through words. Qualitative information is harder to organize and tabulate. The researcher will end up with a wide range of responses, some of which may be surprising. The benefit of written opinions, though, is the wealth of in-depth material that they provide.

An interview is a one-on-one conversation between the researcher and the subject, and it is a way of conducting surveys on a topic. However, participants are free to respond as they wish, without being limited by predetermined choices. In the back-and-forth conversation of an interview, a researcher can ask for clarification, spend more time on a subtopic, or ask additional questions. In an interview, a subject will ideally feel free to open up and answer questions that are often complex. There are no right or wrong answers. The subject might not even know how to answer the questions honestly.

Questions such as “How does society’s view of alcohol consumption influence your decision whether or not to take your first sip of alcohol?” or “Did you feel that the divorce of your parents would put a social stigma on your family?” involve so many factors that the answers are difficult to categorize. A researcher needs to avoid steering or prompting the subject to respond in a specific way; otherwise, the results will prove to be unreliable. The researcher will also benefit from gaining a subject’s trust, from empathizing or commiserating with a subject, and from listening without judgment.

Surveys often collect both quantitative and qualitative data. For example, a researcher interviewing people who are incarcerated might receive quantitative data, such as demographics – race, age, sex, that can be analyzed statistically. For example, the researcher might discover that 20 percent of incarcerated people are above the age of 50. The researcher might also collect qualitative data, such as why people take advantage of educational opportunities during their sentence and other explanatory information.

The survey can be carried out online, over the phone, by mail, or face-to-face. When researchers collect data outside a laboratory, library, or workplace setting, they are conducting field research, which is our next topic.

Field Research

The work of sociology rarely happens in limited, confined spaces. Rather, sociologists go out into the world. They meet subjects where they live, work, and play. Field research refers to gathering primary data from a natural environment. To conduct field research, the sociologist must be willing to step into new environments and observe, participate, or experience those worlds. In field work, the sociologists, rather than the subjects, are the ones out of their element.

The researcher interacts with or observes people and gathers data along the way. The key point in field research is that it takes place in the subject’s natural environment, whether it’s a coffee shop or tribal village, a homeless shelter or the DMV, a hospital, airport, mall, or beach resort.

While field research often begins in a specific setting , the study’s purpose is to observe specific behaviors in that setting. Field work is optimal for observing how people think and behave. It seeks to understand why they behave that way. However, researchers may struggle to narrow down cause and effect when there are so many variables floating around in a natural environment. And while field research looks for correlation, its small sample size does not allow for establishing a causal relationship between two variables. Indeed, much of the data gathered in sociology do not identify a cause and effect but a correlation .

Sociology in the Real World

Beyoncé and lady gaga as sociological subjects.

Sociologists have studied Lady Gaga and Beyoncé and their impact on music, movies, social media, fan participation, and social equality. In their studies, researchers have used several research methods including secondary analysis, participant observation, and surveys from concert participants.

In their study, Click, Lee & Holiday (2013) interviewed 45 Lady Gaga fans who utilized social media to communicate with the artist. These fans viewed Lady Gaga as a mirror of themselves and a source of inspiration. Like her, they embrace not being a part of mainstream culture. Many of Lady Gaga’s fans are members of the LGBTQ community. They see the “song “Born This Way” as a rallying cry and answer her calls for “Paws Up” with a physical expression of solidarity—outstretched arms and ﬁngers bent and curled to resemble monster claws.”

Sascha Buchanan (2019) made use of participant observation to study the relationship between two fan groups, that of Beyoncé and that of Rihanna. She observed award shows sponsored by iHeartRadio, MTV EMA, and BET that pit one group against another as they competed for Best Fan Army, Biggest Fans, and FANdemonium. Buchanan argues that the media thus sustains a myth of rivalry between the two most commercially successful Black women vocal artists.

Participant Observation

In 2000, a comic writer named Rodney Rothman wanted an insider’s view of white-collar work. He slipped into the sterile, high-rise offices of a New York “dot com” agency. Every day for two weeks, he pretended to work there. His main purpose was simply to see whether anyone would notice him or challenge his presence. No one did. The receptionist greeted him. The employees smiled and said good morning. Rothman was accepted as part of the team. He even went so far as to claim a desk, inform the receptionist of his whereabouts, and attend a meeting. He published an article about his experience in The New Yorker called “My Fake Job” (2000). Later, he was discredited for allegedly fabricating some details of the story and The New Yorker issued an apology. However, Rothman’s entertaining article still offered fascinating descriptions of the inside workings of a “dot com” company and exemplified the lengths to which a writer, or a sociologist, will go to uncover material.

Rothman had conducted a form of study called participant observation , in which researchers join people and participate in a group’s routine activities for the purpose of observing them within that context. This method lets researchers experience a specific aspect of social life. A researcher might go to great lengths to get a firsthand look into a trend, institution, or behavior. A researcher might work as a waitress in a diner, experience homelessness for several weeks, or ride along with police officers as they patrol their regular beat. Often, these researchers try to blend in seamlessly with the population they study, and they may not disclose their true identity or purpose if they feel it would compromise the results of their research.

At the beginning of a field study, researchers might have a question: “What really goes on in the kitchen of the most popular diner on campus?” or “What is it like to be homeless?” Participant observation is a useful method if the researcher wants to explore a certain environment from the inside.

Field researchers simply want to observe and learn. In such a setting, the researcher will be alert and open minded to whatever happens, recording all observations accurately. Soon, as patterns emerge, questions will become more specific, observations will lead to hypotheses, and hypotheses will guide the researcher in analyzing data and generating results.

In a study of small towns in the United States conducted by sociological researchers John S. Lynd and Helen Merrell Lynd, the team altered their purpose as they gathered data. They initially planned to focus their study on the role of religion in U.S. towns. As they gathered observations, they realized that the effect of industrialization and urbanization was the more relevant topic of this social group. The Lynds did not change their methods, but they revised the purpose of their study.

This shaped the structure of Middletown: A Study in Modern American Culture , their published results (Lynd & Lynd, 1929).

The Lynds were upfront about their mission. The townspeople of Muncie, Indiana, knew why the researchers were in their midst. But some sociologists prefer not to alert people to their presence. The main advantage of covert participant observation is that it allows the researcher access to authentic, natural behaviors of a group’s members. The challenge, however, is gaining access to a setting without disrupting the pattern of others’ behavior. Becoming an inside member of a group, organization, or subculture takes time and effort. Researchers must pretend to be something they are not. The process could involve role playing, making contacts, networking, or applying for a job.

Once inside a group, some researchers spend months or even years pretending to be one of the people they are observing. However, as observers, they cannot get too involved. They must keep their purpose in mind and apply the sociological perspective. That way, they illuminate social patterns that are often unrecognized. Because information gathered during participant observation is mostly qualitative, rather than quantitative, the end results are often descriptive or interpretive. The researcher might present findings in an article or book and describe what he or she witnessed and experienced.

This type of research is what journalist Barbara Ehrenreich conducted for her book Nickel and Dimed . One day over lunch with her editor, Ehrenreich mentioned an idea. How can people exist on minimum-wage work? How do low-income workers get by? she wondered. Someone should do a study . To her surprise, her editor responded, Why don’t you do it?

That’s how Ehrenreich found herself joining the ranks of the working class. For several months, she left her comfortable home and lived and worked among people who lacked, for the most part, higher education and marketable job skills. Undercover, she applied for and worked minimum wage jobs as a waitress, a cleaning woman, a nursing home aide, and a retail chain employee. During her participant observation, she used only her income from those jobs to pay for food, clothing, transportation, and shelter.

She discovered the obvious, that it’s almost impossible to get by on minimum wage work. She also experienced and observed attitudes many middle and upper-class people never think about. She witnessed firsthand the treatment of working class employees. She saw the extreme measures people take to make ends meet and to survive. She described fellow employees who held two or three jobs, worked seven days a week, lived in cars, could not pay to treat chronic health conditions, got randomly fired, submitted to drug tests, and moved in and out of homeless shelters. She brought aspects of that life to light, describing difficult working conditions and the poor treatment that low-wage workers suffer.

The book she wrote upon her return to her real life as a well-paid writer, has been widely read and used in many college classrooms.

Ethnography

Ethnography is the immersion of the researcher in the natural setting of an entire social community to observe and experience their everyday life and culture. The heart of an ethnographic study focuses on how subjects view their own social standing and how they understand themselves in relation to a social group.

An ethnographic study might observe, for example, a small U.S. fishing town, an Inuit community, a village in Thailand, a Buddhist monastery, a private boarding school, or an amusement park. These places all have borders. People live, work, study, or vacation within those borders. People are there for a certain reason and therefore behave in certain ways and respect certain cultural norms. An ethnographer would commit to spending a determined amount of time studying every aspect of the chosen place, taking in as much as possible.

A sociologist studying a tribe in the Amazon might watch the way villagers go about their daily lives and then write a paper about it. To observe a spiritual retreat center, an ethnographer might sign up for a retreat and attend as a guest for an extended stay, observe and record data, and collate the material into results.

Institutional Ethnography

Institutional ethnography is an extension of basic ethnographic research principles that focuses intentionally on everyday concrete social relationships. Developed by Canadian sociologist Dorothy E. Smith (1990), institutional ethnography is often considered a feminist-inspired approach to social analysis and primarily considers women’s experiences within male- dominated societies and power structures. Smith’s work is seen to challenge sociology’s exclusion of women, both academically and in the study of women’s lives (Fenstermaker, n.d.).

Historically, social science research tended to objectify women and ignore their experiences except as viewed from the male perspective. Modern feminists note that describing women, and other marginalized groups, as subordinates helps those in authority maintain their own dominant positions (Social Sciences and Humanities Research Council of Canada n.d.). Smith’s three major works explored what she called “the conceptual practices of power” and are still considered seminal works in feminist theory and ethnography (Fensternmaker n.d.).

Sociological Research

The making of middletown: a study in modern u.s. culture.

In 1924, a young married couple named Robert and Helen Lynd undertook an unprecedented ethnography: to apply sociological methods to the study of one U.S. city in order to discover what “ordinary” people in the United States did and believed. Choosing Muncie, Indiana (population about 30,000) as their subject, they moved to the small town and lived there for eighteen months.

Ethnographers had been examining other cultures for decades—groups considered minorities or outsiders—like gangs, immigrants, and the poor. But no one had studied the so-called average American.

Recording interviews and using surveys to gather data, the Lynds objectively described what they observed. Researching existing sources, they compared Muncie in 1890 to the Muncie they observed in 1924. Most Muncie adults, they found, had grown up on farms but now lived in homes inside the city. As a result, the Lynds focused their study on the impact of industrialization and urbanization.

They observed that Muncie was divided into business and working class groups. They defined business class as dealing with abstract concepts and symbols, while working class people used tools to create concrete objects. The two classes led different lives with different goals and hopes. However, the Lynds observed, mass production offered both classes the same amenities. Like wealthy families, the working class was now able to own radios, cars, washing machines, telephones, vacuum cleaners, and refrigerators. This was an emerging material reality of the 1920s.

As the Lynds worked, they divided their manuscript into six chapters: Getting a Living, Making a Home, Training the Young, Using Leisure, Engaging in Religious Practices, and Engaging in Community Activities.

When the study was completed, the Lynds encountered a big problem. The Rockefeller Foundation, which had commissioned the book, claimed it was useless and refused to publish it. The Lynds asked if they could seek a publisher themselves.

Middletown: A Study in Modern American Culture was not only published in 1929 but also became an instant bestseller, a status unheard of for a sociological study. The book sold out six printings in its first year of publication, and has never gone out of print (Caplow, Hicks, & Wattenberg. 2000).

Nothing like it had ever been done before. Middletown was reviewed on the front page of the New York Times. Readers in the 1920s and 1930s identified with the citizens of Muncie, Indiana, but they were equally fascinated by the sociological methods and the use of scientific data to define ordinary people in the United States. The book was proof that social data was important—and interesting—to the U.S. public.

Sometimes a researcher wants to study one specific person or event. A case study is an in-depth analysis of a single event, situation, or individual. To conduct a case study, a researcher examines existing sources like documents and archival records, conducts interviews, engages in direct observation and even participant observation, if possible.

Researchers might use this method to study a single case of a foster child, drug lord, cancer patient, criminal, or rape victim. However, a major criticism of the case study as a method is that while offering depth on a topic, it does not provide enough evidence to form a generalized conclusion. In other words, it is difficult to make universal claims based on just one person, since one person does not verify a pattern. This is why most sociologists do not use case studies as a primary research method.

However, case studies are useful when the single case is unique. In these instances, a single case study can contribute tremendous insight. For example, a feral child, also called “wild child,” is one who grows up isolated from human beings. Feral children grow up without social contact and language, which are elements crucial to a “civilized” child’s development. These children mimic the behaviors and movements of animals, and often invent their own language. There are only about one hundred cases of “feral children” in the world.

As you may imagine, a feral child is a subject of great interest to researchers. Feral children provide unique information about child development because they have grown up outside of the parameters of “normal” growth and nurturing. And since there are very few feral children, the case study is the most appropriate method for researchers to use in studying the subject.

At age three, a Ukranian girl named Oxana Malaya suffered severe parental neglect. She lived in a shed with dogs, and she ate raw meat and scraps. Five years later, a neighbor called authorities and reported seeing a girl who ran on all fours, barking. Officials brought Oxana into society, where she was cared for and taught some human behaviors, but she never became fully socialized. She has been designated as unable to support herself and now lives in a mental institution (Grice 2011). Case studies like this offer a way for sociologists to collect data that may not be obtained by any other method.

Experiments

You have probably tested some of your own personal social theories. “If I study at night and review in the morning, I’ll improve my retention skills.” Or, “If I stop drinking soda, I’ll feel better.” Cause and effect. If this, then that. When you test the theory, your results either prove or disprove your hypothesis.

One way researchers test social theories is by conducting an experiment , meaning they investigate relationships to test a hypothesis—a scientific approach.

There are two main types of experiments: lab-based experiments and natural or field experiments. In a lab setting, the research can be controlled so that more data can be recorded in a limited amount of time. In a natural or field- based experiment, the time it takes to gather the data cannot be controlled but the information might be considered more accurate since it was collected without interference or intervention by the researcher.

As a research method, either type of sociological experiment is useful for testing if-then statements: if a particular thing happens (cause), then another particular thing will result (effect). To set up a lab-based experiment, sociologists create artificial situations that allow them to manipulate variables.

Classically, the sociologist selects a set of people with similar characteristics, such as age, class, race, or education. Those people are divided into two groups. One is the experimental group and the other is the control group. The experimental group is exposed to the independent variable(s) and the control group is not. To test the benefits of tutoring, for example, the sociologist might provide tutoring to the experimental group of students but not to the control group. Then both groups would be tested for differences in performance to see if tutoring had an effect on the experimental group of students. As you can imagine, in a case like this, the researcher would not want to jeopardize the accomplishments of either group of students, so the setting would be somewhat artificial. The test would not be for a grade reflected on their permanent record of a student, for example.

And if a researcher told the students they would be observed as part of a study on measuring the effectiveness of tutoring, the students might not behave naturally. This is called the Hawthorne effect —which occurs when people change their behavior because they know they are being watched as part of a study. The Hawthorne effect is unavoidable in some research studies because sociologists have to make the purpose of the study known. Subjects must be aware that they are being observed, and a certain amount of artificiality may result (Sonnenfeld 1985).

A real-life example will help illustrate the process. In 1971, Frances Heussenstamm, a sociology professor at California State University at Los Angeles, had a theory about police prejudice. To test her theory, she conducted research. She chose fifteen students from three ethnic backgrounds: Black, White, and Hispanic. She chose students who routinely drove to and from campus along Los Angeles freeway routes, and who had had perfect driving records for longer than a year.

Next, she placed a Black Panther bumper sticker on each car. That sticker, a representation of a social value, was the independent variable. In the 1970s, the Black Panthers were a revolutionary group actively fighting racism. Heussenstamm asked the students to follow their normal driving patterns. She wanted to see whether seeming support for the Black Panthers would change how these good drivers were treated by the police patrolling the highways. The dependent variable would be the number of traffic stops/citations.

The first arrest, for an incorrect lane change, was made two hours after the experiment began. One participant was pulled over three times in three days. He quit the study. After seventeen days, the fifteen drivers had collected a total of thirty-three traffic citations. The research was halted. The funding to pay traffic fines had run out, and so had the enthusiasm of the participants (Heussenstamm, 1971).

Secondary Data Analysis

While sociologists often engage in original research studies, they also contribute knowledge to the discipline through secondary data analysis . Secondary data does not result from firsthand research collected from primary sources, but are the already completed work of other researchers or data collected by an agency or organization. Sociologists might study works written by historians, economists, teachers, or early sociologists. They might search through periodicals, newspapers, or magazines, or organizational data from any period in history.

Using available information not only saves time and money but can also add depth to a study. Sociologists often interpret findings in a new way, a way that was not part of an author’s original purpose or intention. To study how women were encouraged to act and behave in the 1960s, for example, a researcher might watch movies, televisions shows, and situation comedies from that period. Or to research changes in behavior and attitudes due to the emergence of television in the late 1950s and early 1960s, a sociologist would rely on new interpretations of secondary data. Decades from now, researchers will most likely conduct similar studies on the advent of mobile phones, the Internet, or social media.

Social scientists also learn by analyzing the research of a variety of agencies. Governmental departments and global groups, like the U.S. Bureau of Labor Statistics or the World Health Organization (WHO), publish studies with findings that are useful to sociologists. A public statistic like the foreclosure rate might be useful for studying the effects of a recession. A racial demographic profile might be compared with data on education funding to examine the resources accessible by different groups.

One of the advantages of secondary data like old movies or WHO statistics is that it is nonreactive research (or unobtrusive research), meaning that it does not involve direct contact with subjects and will not alter or influence people’s behaviors. Unlike studies requiring direct contact with people, using previously published data does not require entering a population and the investment and risks inherent in that research process.

Using available data does have its challenges. Public records are not always easy to access. A researcher will need to do some legwork to track them down and gain access to records. To guide the search through a vast library of materials and avoid wasting time reading unrelated sources, sociologists employ content analysis , applying a systematic approach to record and value information gleaned from secondary data as they relate to the study at hand.

Also, in some cases, there is no way to verify the accuracy of existing data. It is easy to count how many drunk drivers, for example, are pulled over by the police. But how many are not? While it’s possible to discover the percentage of teenage students who drop out of high school, it might be more challenging to determine the number who return to school or get their GED later.

Another problem arises when data are unavailable in the exact form needed or do not survey the topic from the precise angle the researcher seeks. For example, the average salaries paid to professors at a public school is public record. But these figures do not necessarily reveal how long it took each professor to reach the salary range, what their educational backgrounds are, or how long they’ve been teaching.

When conducting content analysis, it is important to consider the date of publication of an existing source and to take into account attitudes and common cultural ideals that may have influenced the research. For example, when Robert S. Lynd and Helen Merrell Lynd gathered research in the 1920s, attitudes and cultural norms were vastly different then than they are now. Beliefs about gender roles, race, education, and work have changed significantly since then. At the time, the study’s purpose was to reveal insights about small U.S. communities. Today, it is an illustration of 1920s attitudes and values.

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Secondary Data Analysis

Learning outcomes.

Describe secondary data analysis

Secondary Data

While sociologists often engage in original research studies, they also contribute knowledge to the discipline through secondary data analysis . Secondary data do not result from firsthand research collected from primary sources, but are the already completed work of other researchers. Sociologists might study works written by historians, economists, teachers, or early sociologists. They might search through periodicals, newspapers, or magazines from any period in history.

Content Analysis of Poor in Magazines

Gilens discovered that not only were African Americans markedly overrepresented in news magazine photographs of poverty, but that the photos also tended to underrepresent “sympathetic” subgroups of the poor—the elderly and working poor—while overrepresenting less sympathetic groups—unemployed, working age adults. Gilens concluded that by providing a distorted representation of poverty, U.S. news magazines “reinforce negative stereotypes of Blacks as mired in poverty and contribute to the belief that poverty is primarily a ‘Black problem’” (1996).

Social scientists also learn by analyzing the research of a variety of agencies. Governmental departments and global groups, like the U.S. Bureau of Labor Statistics or the World Health Organization, publish studies with findings that are useful to sociologists. A public statistic like the foreclosure rate might be useful for studying the effects of the 2008 recession; a racial demographic profile might be compared with data on education funding to examine the resources accessible to different groups.

One of the advantages of secondary data is that they are nonreactive research (or unobtrusive research), meaning that they do not include direct contact with subjects and will not alter or influence people’s behaviors. Unlike studies requiring direct contact with people, using previously published data doesn’t require entering a population, with all the investment and potential risks inherent in that research process.

But, in some cases, there is no way to verify the accuracy of existing data. It is easy to count how many drunk drivers, for example, are pulled over by the police. But how many are not? While it is possible to discover the percentage of teenage students who drop out of high school, it might be more challenging to determine the number who return to school or get their GED later.

Another problem arises when data are unavailable in the exact form needed or do not include the precise angle the researcher seeks. For example, the average salaries paid to professors at a public school is a matter of public record. But the separate figures do not necessarily reveal how long it took each professor to reach the salary range, what their educational backgrounds are, or how long the have been teaching.

When conducting content analysis, it is important to consider the date of publication of an existing source and to take into account attitudes and common cultural ideals that may have influenced the research. For example, Robert S. Lynd and Helen Merrell Lynd gathered research for their book Middletown: A Study in Modern American Culture in the 1920s. Attitudes and cultural norms were vastly different then than they are now. Beliefs about gender roles, race, education, and work have changed significantly since then. At the time, the study’s purpose was to reveal the truth about small U.S. communities. Today, it is an illustration of attitudes and values of the 1920s.

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SAGE Secondary Data Analysis

Edited by: John Goodwin
Publisher: SAGE Publications Ltd
Publication year: 2012
Online pub date: March 18, 2013
Discipline: Anthropology , Business and Management , Communication and Media Studies , Counseling and Psychotherapy , Criminology and Criminal Justice , Economics , Education , Geography , Health , History , Marketing , Nursing , Political Science and International Relations , Psychology , Social Policy and Public Policy , Social Work , Sociology
Methods: Secondary data analysis , Survey research , Case study research
DOI: https:// doi. org/10.4135/9781473963702
Keywords: attitudes , decision making , government , population , students , surveying , teaching Show all Show less
Print ISBN: 9781446246900
Online ISBN: 9781473963702
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One central and enduring image of the social science researcher is of an individual who commits a great deal of time to collecting original, primary data from a field of enquiry. This approach is often underpinned by a sincerely held belief that key research questions can only be explored by the collection of ever new, and ever greater amounts of data, or that already existing data are insufficient for researchers to test their ideas. Yet such an approach to social science research can be problematic not least because the collection of primary data can be an expensive, time-consuming, and even wasteful approach to social enquiry.

Secondary analysis can serve many purposes, as well as being a valid approach in its own right. However, despite its widespread application, secondary analysis is often undervalued or perceived to be the preserve of only those interested in the re-use of large-scale survey data.

Highlighting both the theory and practice of secondary analysis and the use of secondary sources, this collection considers the nature of secondary analysis as a research tool; reflects on the definitional debates surrounding terms such as secondary analysis, data re-use and restudies; illustrates how secondary analysis is used in social science research; and finally reviews the practical, methodological and ethical aspects of secondary analysis.

Volume 1: Using Secondary Sources and Secondary Analysis provides an overview of the theoretical underpinnings of secondary analysis in social research.

Volume 2: Quantitative Approaches to Secondary Analysis covers the broad range of approaches adopted in quantitative secondary analysis research designs.

Volume 3: Qualitative Data and Research in Secondary Analysis focuses on qualitative research methods that offer the social researcher the opportunity to examine additional themes or explore new concepts and ideas in existing qualitative materials.

Volume 4: Ethical, Methodological and Practical Issues in Secondary Analysis critically evaluates the rise of social data archives and their role in current and future research and reflects upon the ethical dilemmas and pitfalls of using the data collected by others for new research.

Front Matter

About the Editor
Appendix of Sources
Editor's Introduction: Secondary Sources and Secondary Analysis
Volume I: Using Secondary Sources and Secondary Analysis
What is Secondary Analysis?
Introduction to Secondary Analysis of Survey Data
Secondary Analysis and the Relationship between Official and Academic Social Research
The General Household Survey as a Source for Secondary Analysis
Combining Registry, Primary, and Secondary Data Sources to Identify the Impact of Cancer on Labor Market Outcomes
Using Secondary Data in Marketing Research: A Project that Melds Web and Off-Web Sources
Secondary Research, New Product Screening, and the Marketing Research Course: An Experiment in Structured Decision Making
Secondary Data for Policy Studies: Benefits and Challenges
Conducting Secondary Research
Data Collection in the Urban Setting
Introduction to Secondary Research
Secondary Data Analysis Secondary Data Analysis
Official Statistics
Using Other People's Data
The Importance of Census and other Secondary Data in Development Studies
The Basic Language of Statistics
Volume II: Quantitative Approaches to Secondary Analysis
Secondary Analysis of a Major Societal Experiment: The Effects of Standardized Testing in Elementary Schools
Complex Sampling Designs and Statistical Issues in Secondary Analysis
Research Methodology: Using Online Technology for Secondary Analysis of Survey Research Data – “Act Globally, Think Locally”
Testing Mediation Using Multiple Regression and Structural Equation Modeling Analyses in Secondary Data
Police Involvement in Child Protective Services Investigations: Literature Review and Secondary Data Analysis
A Secondary Survey Analysis Study of African American Ethnic Identity Orientations in Two National Samples
Neighborhood Effects in Temporal Perspective: The Impact of Long-Term Exposure to Concentrated Disadvantage on High School Graduation
Community College Student Engagement Patterns: A Typology Revealed through Exploratory Cluster Analysis
Patterns of Substance Involvement and Criminal Behavior: A Gender-based Cluster Analysis of Pennsylvania Arrestees
Regional Differences in Labour Market Participation of Young People in the European Union
Determining the Relative Importance of Predictors in Logistic Regression: An Extension of Relative Weight Analysis
Women, Lifelong Learning and Transitions into Employment
Strong Families, Tidy Houses, and Children's Values in Adult Life: Are “Chaotic,” “Crowded” and “Unstable” Homes Really So Bad?
Race and Ethnicity and the Controversy over the US Census
Identifying and Measuring Dimensions of Urban Deprivation in Montreal: An Analysis of the 1996 Census Data
Disparities in Access to Care among Asthmatic Children in Relation to Race and Socioeconomic Status
Gender Differences in Predictors of Assaultive Behavior in Late Adolescence
Measuring Interest Group Influence Using Quantitative Text Analysis
Facilitating Content Analysis in Tourism Research
When Less is More: Selection Problems in Large-N and Small-N Cross-National Comparisons
Family Policies, Wage Structures, and Gender Gaps: Sources of Earnings Inequality in 20 Countries
Volume III: The Secondary Analysis of Qualitative Data
Secondary Analysis of Qualitative Data: A Valuable Method for Exploring Sensitive Issues with an Elusive Population?
Mobility Adaptations of Older Adults: A Secondary Analysis
Women's Empowerment in Pakistan – Definitions and Enabling and Disenabling Factors: A Secondary Data Analysis
Exploring Complex Transitions: Looking Back at the ‘Golden Age’ of from School to Work1
Through the Interviewer's Lens: Representations of 1960s Households and Families in a Lost Sociological Study
Resistance and Adaptation to Criminal Identity: Using Secondary Analysis to Evaluate Classic Studies of Crime and Deviance
Can We Re-Use Qualitative Data via Secondary Analysis? Notes on Some Terminological and Substantive Issues
(Re)Using Qualitative Data?1
A Reflexive Account of Reusing Qualitative Data: Beyond Primary/Secondary Dualism
Linking Stress and Injury in the Farming Environment: A Secondary Analysis of Qualitative Data
The Possibilities and Pitfalls of Doing a Secondary Analysis of a Qualitative Data Set
Online Petitions: New Tools of Secondary Analysis?
Using Documents in Research
Using Documents
Secondary Analysis of Archived Data
Types of Qualitative Secondary Analysis
A Theoretical Understanding of Sickness Absence among Women Who Have Experienced Workplace Bullying
Distinguishing the Trees from the Forest: Applying Cluster Analysis to Thematic Qualitative Data
Volume IV: Ethical, Methodological and Practical Issues in Secondary Analysis
Ethical and Representational Issues in Qualitative Secondary Analysis
Utilizing Data from a Lost Sociological Project: Experiences, Insights, Promises
Obtaining and Evaluating Data Sets for Secondary Analysis in Nursing Research
The Impact of Working with Disturbing Secondary Data: Reading Suicide Files in a Coroner's Office
Secondary Consumer Data
Identifying what Data Must Be Collected
Evaluating Secondary Sources
Alternative Data Sources
Locating Appropriate Data
Secondary Analysis: An Important Resource for Educational Research and Evaluation1
Qualitative Researchers’ Understandings of Their Practice and the Implications for Data Archiving and Sharing
Using Large-Scale Databases in Evaluation: Advances, Opportunities, and Challenges
Large Scale Survey Data in Career Development Research
The Provision of Access to Quantitative Data for Secondary Analysis

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8 Research Methods

Learning objectives.

Differentiate between four kinds of research methods: surveys, field research, experiments, and secondary data analysis
Understand why different topics are better suited to different research approaches

Sociologists examine the world, see a problem or interesting pattern, and set out to study it. They use research methods to design a study—perhaps a detailed, systematic, scientific method for conducting research and obtaining data, or perhaps an ethnographic study utilizing an interpretive framework. Planning the research design is a key step in any sociological study.

When entering a particular social environment, a researcher must be careful. There are times to remain anonymous and times to be overt. There are times to conduct interviews and times to simply observe. Some participants need to be thoroughly informed; others should not know they are being observed. A researcher wouldn’t stroll into a crime-ridden neighborhood at midnight, calling out, “Any gang members around?” And if a researcher walked into a coffee shop and told the employees they would be observed as part of a study on work efficiency, the self-conscious, intimidated baristas might not behave naturally. This is called the Hawthorne effect —where people change their behavior because they know they are being watched as part of a study. The Hawthorne effect is unavoidable in some research. In many cases, sociologists have to make the purpose of the study known. Subjects must be aware that they are being observed, and a certain amount of artificiality may result (Sonnenfeld 1985).

Making sociologists’ presence invisible is not always realistic for other reasons. That option is not available to a researcher studying prison behaviors, early education, or the Ku Klux Klan. Researchers can’t just stroll into prisons, kindergarten classrooms, or Klan meetings and unobtrusively observe behaviors. In situations like these, other methods are needed. All studies shape the research design, while research design simultaneously shapes the study. Researchers choose methods that best suit their study topics and that fit with their overall approaches to research.

In planning studies’ designs, sociologists generally choose from four widely used methods of social investigation: survey, field research, experiment, and secondary data analysis , or use of existing sources. Every research method comes with plusses and minuses, and the topic of study strongly influences which method or methods are put to use.

As a research method, a survey collects data from subjects who respond to a series of questions about behaviors and opinions, often in the form of a questionnaire. The survey is one of the most widely used scientific research methods. The standard survey format allows individuals a level of anonymity in which they can express personal ideas.

A photo of a person's hand filling in a survey check box labeled 'No' with a pen.

At some point, most people in the United States respond to some type of survey. The U.S. Census is an excellent example of a large-scale survey intended to gather sociological data. Not all surveys are considered sociological research, however, and many surveys people commonly encounter focus on identifying marketing needs and strategies rather than testing a hypothesis or contributing to social science knowledge. Questions such as, “How many hot dogs do you eat in a month?” or “Were the staff helpful?” are not usually designed as scientific research. Often, polls on television do not reflect a general population, but are merely answers from a specific show’s audience. Polls conducted by programs such as American Idol or So You Think You Can Dance represent the opinions of fans but are not particularly scientific. A good contrast to these are the Nielsen Ratings, which determine the popularity of television programming through scientific market research.

An American Idol audience member voting for a contestant using an electronic response system that uses numbers as answers

Sociologists conduct surveys under controlled conditions for specific purposes. Surveys gather different types of information from people. While surveys are not great at capturing the ways people really behave in social situations, they are a great method for discovering how people feel and think—or at least how they say they feel and think. Surveys can track preferences for presidential candidates or reported individual behaviors (such as sleeping, driving, or texting habits) or factual information such as employment status, income, and education levels.

A survey targets a specific population , people who are the focus of a study, such as college athletes, international students, or teenagers living with type 1 (juvenile-onset) diabetes. Most researchers choose to survey a small sector of the population, or a sample : that is, a manageable number of subjects who represent a larger population. The success of a study depends on how well a population is represented by the sample. In a random sample , every person in a population has the same chance of being chosen for the study. According to the laws of probability, random samples represent the population as a whole. For instance, a Gallup Poll, if conducted as a nationwide random sampling, should be able to provide an accurate estimate of public opinion whether it contacts 2,000 or 10,000 people.

After selecting subjects, the researcher develops a specific plan to ask questions and record responses. It is important to inform subjects of the nature and purpose of the study up front. If they agree to participate, researchers thank subjects and offer them a chance to see the results of the study if they are interested. The researcher presents the subjects with an instrument, which is a means of gathering the information. A common instrument is a questionnaire, in which subjects answer a series of questions. For some topics, the researcher might ask yes-or-no or multiple-choice questions, allowing subjects to choose possible responses to each question. This kind of quantitative data —research collected in numerical form that can be counted—are easy to tabulate. Just count up the number of “yes” and “no” responses or correct answers, and chart them into percentages.

Questionnaires can also ask more complex questions with more complex answers—beyond “yes,” “no,” or the option next to a checkbox. In those cases, the answers are subjective and vary from person to person. How do plan to use your college education? Why do you follow Jimmy Buffett around the country and attend every concert? Those types of questions require short essay responses, and participants willing to take the time to write those answers will convey personal information about religious beliefs, political views, and morals. Some topics that reflect internal thought are impossible to observe directly and are difficult to discuss honestly in a public forum. People are more likely to share honest answers if they can respond to questions anonymously. This type of information is qualitative data —results that are subjective and often based on what is seen in a natural setting. Qualitative information is harder to organize and tabulate. The researcher will end up with a wide range of responses, some of which may be surprising. The benefit of written opinions, though, is the wealth of material that they provide.

An interview is a one-on-one conversation between the researcher and the subject, and it is a way of conducting surveys on a topic. Interviews are similar to the short-answer questions on surveys in that the researcher asks subjects a series of questions. However, participants are free to respond as they wish, without being limited by predetermined choices. In the back-and-forth conversation of an interview, a researcher can ask for clarification, spend more time on a subtopic, or ask additional questions. In an interview, a subject will ideally feel free to open up and answer questions that are often complex. There are no right or wrong answers. The subject might not even know how to answer the questions honestly.

Questions such as, “How did society’s view of alcohol consumption influence your decision whether or not to take your first sip of alcohol?” or “Did you feel that the divorce of your parents would put a social stigma on your family?” involve so many factors that the answers are difficult to categorize. A researcher needs to avoid steering or prompting the subject to respond in a specific way; otherwise, the results will prove to be unreliable. And, obviously, a sociological interview is not an interrogation. The researcher will benefit from gaining a subject’s trust, from empathizing or commiserating with a subject, and from listening without judgment.

Field Research

The work of sociology rarely happens in limited, confined spaces. Sociologists seldom study subjects in their own offices or laboratories. Rather, sociologists go out into the world. They meet subjects where they live, work, and play. Field research refers to gathering primary data from a natural environment without doing a lab experiment or a survey. It is a research method suited to an interpretive framework rather than to the scientific method. To conduct field research, the sociologist must be willing to step into new environments and observe, participate, or experience those worlds. In field work, the sociologists, rather than the subjects, are the ones out of their element.

The researcher interacts with or observes a person or people and gathers data along the way. The key point in field research is that it takes place in the subject’s natural environment, whether it’s a coffee shop or tribal village, a homeless shelter or the DMV, a hospital, airport, mall, or beach resort.

A man is shown taking notes outside a tent in the mountains.

While field research often begins in a specific setting , the study’s purpose is to observe specific behaviors in that setting. Field work is optimal for observing how people behave. It is less useful, however, for understanding why they behave that way. You can’t really narrow down cause and effect when there are so many variables floating around in a natural environment.

Much of the data gathered in field research are based not on cause and effect but on correlation . And while field research looks for correlation, its small sample size does not allow for establishing a causal relationship between two variables.

Several people in colorful T-shirts and leis are shown talking and drinking in an outdoor tiki bar setting.

Some sociologists study small groups of people who share an identity in one aspect of their lives. Almost everyone belongs to a group of like-minded people who share an interest or hobby. Scientologists, folk dancers, or members of Mensa (an organization for people with exceptionally high IQs) express a specific part of their identity through their affiliation with a group. Those groups are often of great interest to sociologists.

Jimmy Buffett, an American musician who built a career from his single top-10 song “Margaritaville,” has a following of devoted groupies called Parrotheads. Some of them have taken fandom to the extreme, making Parrothead culture a lifestyle. In 2005, Parrotheads and their subculture caught the attention of researchers John Mihelich and John Papineau. The two saw the way Jimmy Buffett fans collectively created an artificial reality. They wanted to know how fan groups shape culture.

What Mihelich and Papineau found was that Parrotheads, for the most part, do not seek to challenge or even change society, as many sub-groups do. In fact, most Parrotheads live successfully within society, holding upper-level jobs in the corporate world. What they seek is escape from the stress of daily life.

At Jimmy Buffett concerts, Parrotheads engage in a form of role play. They paint their faces and dress for the tropics in grass skirts, Hawaiian leis, and Parrot hats. These fans don’t generally play the part of Parrotheads outside of these concerts; you are not likely to see a lone Parrothead in a bank or library. In that sense, Parrothead culture is less about individualism and more about conformity. Being a Parrothead means sharing a specific identity. Parrotheads feel connected to each other: it’s a group identity, not an individual one.

In their study, Mihelich and Papineau quote from a recent book by sociologist Richard Butsch, who writes, “un-self-conscious acts, if done by many people together, can produce change, even though the change may be unintended” (2000). Many Parrothead fan groups have performed good works in the name of Jimmy Buffett culture, donating to charities and volunteering their services.

However, the authors suggest that what really drives Parrothead culture is commercialism. Jimmy Buffett’s popularity was dying out in the 1980s until being reinvigorated after he signed a sponsorship deal with a beer company. These days, his concert tours alone generate nearly $30 million a year. Buffett made a lucrative career for himself by partnering with product companies and marketing Margaritaville in the form of T-shirts, restaurants, casinos, and an expansive line of products. Some fans accuse Buffett of selling out, while others admire his financial success. Buffett makes no secret of his commercial exploitations; from the stage, he’s been known to tell his fans, “Just remember, I am spending your money foolishly.”

Mihelich and Papineau gathered much of their information online. Referring to their study as a “Web ethnography,” they collected extensive narrative material from fans who joined Parrothead clubs and posted their experiences on websites. “We do not claim to have conducted a complete ethnography of Parrothead fans, or even of the Parrothead Web activity,” state the authors, “but we focused on particular aspects of Parrothead practice as revealed through Web research” (2005). Fan narratives gave them insight into how individuals identify with Buffett’s world and how fans used popular music to cultivate personal and collective meaning.

In conducting studies about pockets of culture, most sociologists seek to discover a universal appeal. Mihelich and Papineau stated, “Although Parrotheads are a relative minority of the contemporary US population, an in-depth look at their practice and conditions illuminate [sic] cultural practices and conditions many of us experience and participate in” (2005).

Here, we will look at three types of field research: participant observation, ethnography, and the case study.

Participant Observation

Rothman had conducted a form of study called participant observation , in which researchers join people and participate in a group’s routine activities for the purpose of observing them within that context. This method lets researchers experience a specific aspect of social life. A researcher might go to great lengths to get a firsthand look into a trend, institution, or behavior. Researchers temporarily put themselves into roles and record their observations. A researcher might work as a waitress in a diner, live as a homeless person for several weeks, or ride along with police officers as they patrol their regular beat. Often, these researchers try to blend in seamlessly with the population they study, and they may not disclose their true identity or purpose if they feel it would compromise the results of their research.

Waitress serves customers in an outdoor café.

This type of research is what journalist Barbara Ehrenreich conducted for her book Nickel and Dimed . One day over lunch with her editor, as the story goes, Ehrenreich mentioned an idea. How can people exist on minimum-wage work? How do low-income workers get by? she wondered. Someone should do a study. To her surprise, her editor responded, Why don’t you do it?

Nickel and Dimed: On (Not) Getting By in America , the book she wrote upon her return to her real life as a well-paid writer, has been widely read and used in many college classrooms.

About 10 empty office cubicles are shown.

Ethnography

Ethnography is the extended observation of the social perspective and cultural values of an entire social setting. Ethnographies involve objective observation of an entire community.

The heart of an ethnographic study focuses on how subjects view their own social standing and how they understand themselves in relation to a community. An ethnographic study might observe, for example, a small U.S. fishing town, an Inuit community, a village in Thailand, a Buddhist monastery, a private boarding school, or an amusement park. These places all have borders. People live, work, study, or vacation within those borders. People are there for a certain reason and therefore behave in certain ways and respect certain cultural norms. An ethnographer would commit to spending a determined amount of time studying every aspect of the chosen place, taking in as much as possible.

Institutional Ethnography

Institutional ethnography is an extension of basic ethnographic research principles that focuses intentionally on everyday concrete social relationships. Developed by Canadian sociologist Dorothy E. Smith, institutional ethnography is often considered a feminist-inspired approach to social analysis and primarily considers women’s experiences within male-dominated societies and power structures. Smith’s work is seen to challenge sociology’s exclusion of women, both academically and in the study of women’s lives (Fenstermaker, n.d.).

Historically, social science research tended to objectify women and ignore their experiences except as viewed from the male perspective. Modern feminists note that describing women, and other marginalized groups, as subordinates helps those in authority maintain their own dominant positions (Social Sciences and Humanities Research Council of Canada, n.d.). Smith’s three major works explored what she called “the conceptual practices of power” (1990; cited in Fensternmaker, n.d.) and are still considered seminal works in feminist theory and ethnography.

In 1924, a young married couple named Robert and Helen Lynd undertook an unprecedented ethnography: to apply sociological methods to the study of one U.S. city in order to discover what “ordinary” people in the United States did and believed. Choosing Muncie, Indiana (population about 30,000), as their subject, they moved to the small town and lived there for eighteen months.

Ethnographers had been examining other cultures for decades—groups considered minority or outsider—like gangs, immigrants, and the poor. But no one had studied the so-called average American.

Recording interviews and using surveys to gather data, the Lynds did not sugarcoat or idealize U.S. life (PBS). They objectively stated what they observed. Researching existing sources, they compared Muncie in 1890 to the Muncie they observed in 1924. Most Muncie adults, they found, had grown up on farms but now lived in homes inside the city. From that discovery, the Lynds focused their study on the impact of industrialization and urbanization.

They observed that Muncie was divided into business class and working class groups. They defined business class as dealing with abstract concepts and symbols, while working class people used tools to create concrete objects. The two classes led different lives with different goals and hopes. However, the Lynds observed, mass production offered both classes the same amenities. Like wealthy families, the working class was now able to own radios, cars, washing machines, telephones, vacuum cleaners, and refrigerators. This was an emerging material new reality of the 1920s.

As the Lynds worked, they divided their manuscript into six sections: Getting a Living, Making a Home, Training the Young, Using Leisure, Engaging in Religious Practices, and Engaging in Community Activities. Each chapter included subsections such as “The Long Arm of the Job” and “Why Do They Work So Hard?” in the “Getting a Living” chapter.

Nothing like it had ever been done before. Middletown was reviewed on the front page of the New York Times . Readers in the 1920s and 1930s identified with the citizens of Muncie, Indiana, but they were equally fascinated by the sociological methods and the use of scientific data to define ordinary people in the United States. The book was proof that social data was important—and interesting—to the U.S. public.

Early 20th century black and white photo showing female students at their desks.

Researchers might use this method to study a single case of, for example, a foster child, drug lord, cancer patient, criminal, or rape victim. However, a major criticism of the case study as a method is that a developed study of a single case, while offering depth on a topic, does not provide enough evidence to form a generalized conclusion. In other words, it is difficult to make universal claims based on just one person, since one person does not verify a pattern. This is why most sociologists do not use case studies as a primary research method.

However, case studies are useful when the single case is unique. In these instances, a single case study can add tremendous knowledge to a certain discipline. For example, a feral child, also called “wild child,” is one who grows up isolated from human beings. Feral children grow up without social contact and language, which are elements crucial to a “civilized” child’s development. These children mimic the behaviors and movements of animals, and often invent their own language. There are only about one hundred cases of “feral children” in the world.

As you may imagine, a feral child is a subject of great interest to researchers. Feral children provide unique information about child development because they have grown up outside of the parameters of “normal” child development. And since there are very few feral children, the case study is the most appropriate method for researchers to use in studying the subject.

Experiments

You’ve probably tested personal social theories. “If I study at night and review in the morning, I’ll improve my retention skills.” Or, “If I stop drinking soda, I’ll feel better.” Cause and effect. If this, then that. When you test the theory, your results either prove or disprove your hypothesis.

One way researchers test social theories is by conducting an experiment , meaning they investigate relationships to test a hypothesis—a scientific approach.

There are two main types of experiments: lab-based experiments and natural or field experiments. In a lab setting, the research can be controlled so that perhaps more data can be recorded in a certain amount of time. In a natural or field-based experiment, the generation of data cannot be controlled but the information might be considered more accurate since it was collected without interference or intervention by the researcher.

As a research method, either type of sociological experiment is useful for testing if-then statements: if a particular thing happens, then another particular thing will result. To set up a lab-based experiment, sociologists create artificial situations that allow them to manipulate variables.

Classically, the sociologist selects a set of people with similar characteristics, such as age, class, race, or education. Those people are divided into two groups. One is the experimental group and the other is the control group. The experimental group is exposed to the independent variable(s) and the control group is not. To test the benefits of tutoring, for example, the sociologist might expose the experimental group of students to tutoring but not the control group. Then both groups would be tested for differences in performance to see if tutoring had an effect on the experimental group of students. As you can imagine, in a case like this, the researcher would not want to jeopardize the accomplishments of either group of students, so the setting would be somewhat artificial. The test would not be for a grade reflected on their permanent record, for example.

The image shows a state police car that has pulled over another car near a highway exit.

A real-life example will help illustrate the experiment process. In 1971, Frances Heussenstamm, a sociology professor at California State University at Los Angeles, had a theory about police prejudice. To test her theory she conducted an experiment. She chose fifteen students from three ethnic backgrounds: black, white, and Hispanic. She chose students who routinely drove to and from campus along Los Angeles freeway routes, and who’d had perfect driving records for longer than a year. Those were her independent variables—students, good driving records, same commute route.

Next, she placed a Black Panther bumper sticker on each car. That sticker, a representation of a social value, was the independent variable. In the 1970s, the Black Panthers were a revolutionary group actively fighting racism. Heussenstamm asked the students to follow their normal driving patterns. She wanted to see whether seeming support of the Black Panthers would change how these good drivers were treated by the police patrolling the highways. The dependent variable would be the number of traffic stops/citations.

The first arrest, for an incorrect lane change, was made two hours after the experiment began. One participant was pulled over three times in three days. He quit the study. After seventeen days, the fifteen drivers had collected a total of thirty-three traffic citations. The experiment was halted. The funding to pay traffic fines had run out, and so had the enthusiasm of the participants (Heussenstamm 1971).

Secondary Data Analysis

While sociologists often engage in original research studies, they also contribute knowledge to the discipline through secondary data analysis . Secondary data doesn’t result from firsthand research collected from primary sources, but are the already completed work of other researchers. Sociologists might study works written by historians, economists, teachers, or early sociologists. They might search through periodicals, newspapers, or magazines from any period in history.

Social scientists also learn by analyzing the research of a variety of agencies. Governmental departments and global groups, like the U.S. Bureau of Labor Statistics or the World Health Organization, publish studies with findings that are useful to sociologists. A public statistic like the foreclosure rate might be useful for studying the effects of the 2008 recession; a racial demographic profile might be compared with data on education funding to examine the resources accessible by different groups.

One of the advantages of secondary data is that it is nonreactive research (or unobtrusive research), meaning that it does not include direct contact with subjects and will not alter or influence people’s behaviors. Unlike studies requiring direct contact with people, using previously published data doesn’t require entering a population and the investment and risks inherent in that research process.

But, in some cases, there is no way to verify the accuracy of existing data. It is easy to count how many drunk drivers, for example, are pulled over by the police. But how many are not? While it’s possible to discover the percentage of teenage students who drop out of high school, it might be more challenging to determine the number who return to school or get their GED later.

Another problem arises when data are unavailable in the exact form needed or do not include the precise angle the researcher seeks. For example, the average salaries paid to professors at a public school is public record. But the separate figures don’t necessarily reveal how long it took each professor to reach the salary range, what their educational backgrounds are, or how long they’ve been teaching.

When conducting content analysis, it is important to consider the date of publication of an existing source and to take into account attitudes and common cultural ideals that may have influenced the research. For example, Robert S. Lynd and Helen Merrell Lynd gathered research for their book Middletown: A Study in Modern American Culture in the 1920s. Attitudes and cultural norms were vastly different then than they are now. Beliefs about gender roles, race, education, and work have changed significantly since then. At the time, the study’s purpose was to reveal the truth about small U.S. communities. Today, it is an illustration of 1920s’ attitudes and values.

Sociological research is a fairly complex process. As you can see, a lot goes into even a simple research design. There are many steps and much to consider when collecting data on human behavior, as well as in interpreting and analyzing data in order to form conclusive results. Sociologists use scientific methods for good reason. The scientific method provides a system of organization that helps researchers plan and conduct the study while ensuring that data and results are reliable, valid, and objective.

The many methods available to researchers—including experiments, surveys, field studies, and secondary data analysis—all come with advantages and disadvantages. The strength of a study can depend on the choice and implementation of the appropriate method of gathering research. Depending on the topic, a study might use a single method or a combination of methods. It is important to plan a research design before undertaking a study. The information gathered may in itself be surprising, and the study design should provide a solid framework in which to analyze predicted and unpredicted data.

Section Quiz

Which materials are considered secondary data?

Photos and letters given to you by another person
Books and articles written by other authors about their studies
Information that you have gathered and now have included in your results
Responses from participants whom you both surveyed and interviewed

What method did researchers John Mihelich and John Papineau use to study Parrotheads?

Web Ethnography

Why is choosing a random sample an effective way to select participants?

Participants do not know they are part of a study
The researcher has no control over who is in the study
It is larger than an ordinary sample
Everyone has the same chance of being part of the study

What research method did John S. Lynd and Helen Merrell Lynd mainly use in their Middletown study?

Secondary data
Participant observation

Which research approach is best suited to the scientific method?

Questionnaire
Secondary data analysis

The main difference between ethnography and other types of participant observation is:

ethnography isn’t based on hypothesis testing
ethnography subjects are unaware they’re being studied
ethnographic studies always involve minority ethnic groups
ethnography focuses on how subjects view themselves in relationship to the community

Which best describes the results of a case study?

It produces more reliable results than other methods because of its depth
Its results are not generally applicable
It relies solely on secondary data analysis
All of the above

Using secondary data is considered an unobtrusive or ________ research method.

nonreactive
nonparticipatory
nonrestrictive
nonconfrontive

Short Answer

What type of data do surveys gather? For what topics would surveys be the best research method? What drawbacks might you expect to encounter when using a survey? To explore further, ask a research question and write a hypothesis. Then create a survey of about six questions relevant to the topic. Provide a rationale for each question. Now define your population and create a plan for recruiting a random sample and administering the survey.

Imagine you are about to do field research in a specific place for a set time. Instead of thinking about the topic of study itself, consider how you, as the researcher, will have to prepare for the study. What personal, social, and physical sacrifices will you have to make? How will you manage your personal effects? What organizational equipment and systems will you need to collect the data?

Create a brief research design about a topic in which you are passionately interested. Now write a letter to a philanthropic or grant organization requesting funding for your study. How can you describe the project in a convincing yet realistic and objective way? Explain how the results of your study will be a relevant contribution to the body of sociological work already in existence.

Further Research

For information on current real-world sociology experiments, visit: http://openstax.org/l/Sociology-Experiments

Butsch, Richard. 2000. The Making of American Audiences: From Stage to Television, 1750–1990 . Cambridge: Cambridge UP.

Caplow, Theodore, Louis Hicks, and Ben Wattenberg. 2000. “The First Measured Century: Middletown.” The First Measured Century . PBS. Retrieved February 23, 2012 ( http://www.pbs.org/fmc/index.htm ).

Durkheim, Émile. 1966 [1897]. Suicide . New York: Free Press.

Fenstermaker, Sarah. n.d. “Dorothy E. Smith Award Statement” American Sociological Association . Retrieved October 19, 2014 ( http://www.asanet.org/about/awards/duboiscareer/smith.cfm ).

Franke, Richard, and James Kaul. 1978. “The Hawthorne Experiments: First Statistical Interpretation.” American Sociological Review 43(5):632–643.

Grice, Elizabeth. “Cry of an Enfant Sauvage.” The Telegraph . Retrieved July 20, 2011 ( http://www.telegraph.co.uk/culture/tvandradio/3653890/Cry-of-an-enfant-sauvage.html ).

Heussenstamm, Frances K. 1971. “Bumper Stickers and Cops” Trans-action: Social Science and Modern Society 4:32–33.

Igo, Sarah E. 2008. The Averaged American: Surveys, Citizens, and the Making of a Mass Public . Cambridge, MA: Harvard University Press.

Lynd, Robert S., and Helen Merrell Lynd. 1959. Middletown: A Study in Modern American Culture . San Diego, CA: Harcourt Brace Javanovich.

Lynd, Staughton. 2005. “Making Middleton.” Indiana Magazine of History 101(3):226–238.

Mihelich, John, and John Papineau. Aug 2005. “Parrotheads in Margaritaville: Fan Practice, Oppositional Culture, and Embedded Cultural Resistance in Buffett Fandom.” Journal of Popular Music Studies 17(2):175–202.

Pew Research Center. 2014. “Ebola Worries Rise, But Most Are ‘Fairly’ Confident in Government, Hospitals to Deal with Disease: Broad Support for U.S. Efforts to Deal with Ebola in West Africa.” Pew Research Center for the People & the Press, October 21. Retrieved October 25, 2014 ( http://www.people-press.org/2014/10/21/ebola-worries-rise-but-most-are-fairly-confident-in-government-hospitals-to-deal-with-disease/ ).

Rothman, Rodney. 2000. “My Fake Job.” Pp. 120 in The New Yorker , November 27.

Social Sciences and Humanities Research Council of Canada. n.d. “Institutional Ethnography.” Retrieved October 19, 2014 ( http://web.uvic.ca/~mariecam/kgSite/institutionalEthnography.html ).

Sonnenfeld, Jeffery A. 1985. “Shedding Light on the Hawthorne Studies.” Journal of Occupational Behavior 6:125.

Introduction to Sociology 2e Copyright © 2012 by OSCRiceUniversity (Download for free at https://openstax.org/details/books/introduction-sociology-2e) is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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Methodology

What is Secondary Research? | Definition, Types, & Examples

What is Secondary Research? | Definition, Types, & Examples

Published on January 20, 2023 by Tegan George . Revised on January 12, 2024.

Secondary research is a research method that uses data that was collected by someone else. In other words, whenever you conduct research using data that already exists, you are conducting secondary research. On the other hand, any type of research that you undertake yourself is called primary research .

Secondary research can be qualitative or quantitative in nature. It often uses data gathered from published peer-reviewed papers, meta-analyses, or government or private sector databases and datasets.

When to use secondary research, types of secondary research, examples of secondary research, advantages and disadvantages of secondary research, other interesting articles, frequently asked questions.

Secondary research is a very common research method, used in lieu of collecting your own primary data. It is often used in research designs or as a way to start your research process if you plan to conduct primary research later on.

Since it is often inexpensive or free to access, secondary research is a low-stakes way to determine if further primary research is needed, as gaps in secondary research are a strong indication that primary research is necessary. For this reason, while secondary research can theoretically be exploratory or explanatory in nature, it is usually explanatory: aiming to explain the causes and consequences of a well-defined problem.

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research method sociology secondary data

Secondary research can take many forms, but the most common types are:

Statistical analysis

Literature reviews, case studies, content analysis.

There is ample data available online from a variety of sources, often in the form of datasets. These datasets are often open-source or downloadable at a low cost, and are ideal for conducting statistical analyses such as hypothesis testing or regression analysis .

Credible sources for existing data include:

The government
Government agencies
Non-governmental organizations
Educational institutions
Businesses or consultancies
Libraries or archives
Newspapers, academic journals, or magazines

A literature review is a survey of preexisting scholarly sources on your topic. It provides an overview of current knowledge, allowing you to identify relevant themes, debates, and gaps in the research you analyze. You can later apply these to your own work, or use them as a jumping-off point to conduct primary research of your own.

Structured much like a regular academic paper (with a clear introduction, body, and conclusion), a literature review is a great way to evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

A case study is a detailed study of a specific subject. It is usually qualitative in nature and can focus on a person, group, place, event, organization, or phenomenon. A case study is a great way to utilize existing research to gain concrete, contextual, and in-depth knowledge about your real-world subject.

You can choose to focus on just one complex case, exploring a single subject in great detail, or examine multiple cases if you’d prefer to compare different aspects of your topic. Preexisting interviews , observational studies , or other sources of primary data make for great case studies.

Content analysis is a research method that studies patterns in recorded communication by utilizing existing texts. It can be either quantitative or qualitative in nature, depending on whether you choose to analyze countable or measurable patterns, or more interpretive ones. Content analysis is popular in communication studies, but it is also widely used in historical analysis, anthropology, and psychology to make more semantic qualitative inferences.

Secondary research is a broad research approach that can be pursued any way you’d like. Here are a few examples of different ways you can use secondary research to explore your research topic .

Secondary research is a very common research approach, but has distinct advantages and disadvantages.

Advantages of secondary research

Advantages include:

Secondary data is very easy to source and readily available .
It is also often free or accessible through your educational institution’s library or network, making it much cheaper to conduct than primary research .
As you are relying on research that already exists, conducting secondary research is much less time consuming than primary research. Since your timeline is so much shorter, your research can be ready to publish sooner.
Using data from others allows you to show reproducibility and replicability , bolstering prior research and situating your own work within your field.

Disadvantages of secondary research

Disadvantages include:

Ease of access does not signify credibility . It’s important to be aware that secondary research is not always reliable , and can often be out of date. It’s critical to analyze any data you’re thinking of using prior to getting started, using a method like the CRAAP test .
Secondary research often relies on primary research already conducted. If this original research is biased in any way, those research biases could creep into the secondary results.

Many researchers using the same secondary research to form similar conclusions can also take away from the uniqueness and reliability of your research. Many datasets become “kitchen-sink” models, where too many variables are added in an attempt to draw increasingly niche conclusions from overused data . Data cleansing may be necessary to test the quality of the research.

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If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

Normal distribution
Degrees of freedom
Null hypothesis
Discourse analysis
Control groups
Mixed methods research
Non-probability sampling
Quantitative research
Inclusion and exclusion criteria

Research bias

Rosenthal effect
Implicit bias
Cognitive bias
Selection bias
Negativity bias
Status quo bias

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The research methods you use depend on the type of data you need to answer your research question .

If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

Sources in this article

We strongly encourage students to use sources in their work. You can cite our article (APA Style) or take a deep dive into the articles below.

George, T. (2024, January 12). What is Secondary Research? | Definition, Types, & Examples. Scribbr. Retrieved March 21, 2024, from https://www.scribbr.com/methodology/secondary-research/

Largan, C., & Morris, T. M. (2019). Qualitative Secondary Research: A Step-By-Step Guide (1st ed.). SAGE Publications Ltd.

Peloquin, D., DiMaio, M., Bierer, B., & Barnes, M. (2020). Disruptive and avoidable: GDPR challenges to secondary research uses of data. European Journal of Human Genetics , 28 (6), 697–705. https://doi.org/10.1038/s41431-020-0596-x

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Home » Secondary Data – Types, Methods and Examples

Secondary Data – Types, Methods and Examples

Table of Contents

Secondary Data

Definition:

Secondary data refers to information that has been collected, processed, and published by someone else, rather than the researcher gathering the data firsthand. This can include data from sources such as government publications, academic journals, market research reports, and other existing datasets.

Secondary Data Types

Types of secondary data are as follows:

Published data: Published data refers to data that has been published in books, magazines, newspapers, and other print media. Examples include statistical reports, market research reports, and scholarly articles.
Government data: Government data refers to data collected by government agencies and departments. This can include data on demographics, economic trends, crime rates, and health statistics.
Commercial data: Commercial data is data collected by businesses for their own purposes. This can include sales data, customer feedback, and market research data.
Academic data: Academic data refers to data collected by researchers for academic purposes. This can include data from experiments, surveys, and observational studies.
Online data: Online data refers to data that is available on the internet. This can include social media posts, website analytics, and online customer reviews.
Organizational data: Organizational data is data collected by businesses or organizations for their own purposes. This can include data on employee performance, financial records, and customer satisfaction.
Historical data : Historical data refers to data that was collected in the past and is still available for research purposes. This can include census data, historical documents, and archival records.
International data: International data refers to data collected from other countries for research purposes. This can include data on international trade, health statistics, and demographic trends.
Public data : Public data refers to data that is available to the general public. This can include data from government agencies, non-profit organizations, and other sources.
Private data: Private data refers to data that is not available to the general public. This can include confidential business data, personal medical records, and financial data.
Big data: Big data refers to large, complex datasets that are difficult to manage and analyze using traditional data processing methods. This can include social media data, sensor data, and other types of data generated by digital devices.

Secondary Data Collection Methods

Secondary Data Collection Methods are as follows:

Published sources: Researchers can gather secondary data from published sources such as books, journals, reports, and newspapers. These sources often provide comprehensive information on a variety of topics.
Online sources: With the growth of the internet, researchers can now access a vast amount of secondary data online. This includes websites, databases, and online archives.
Government sources : Government agencies often collect and publish a wide range of secondary data on topics such as demographics, crime rates, and health statistics. Researchers can obtain this data through government websites, publications, or data portals.
Commercial sources: Businesses often collect and analyze data for marketing research or customer profiling. Researchers can obtain this data through commercial data providers or by purchasing market research reports.
Academic sources: Researchers can also obtain secondary data from academic sources such as published research studies, academic journals, and dissertations.
Personal contacts: Researchers can also obtain secondary data from personal contacts, such as experts in a particular field or individuals with specialized knowledge.

Secondary Data Formats

Secondary data can come in various formats depending on the source from which it is obtained. Here are some common formats of secondary data:

Numeric Data: Numeric data is often in the form of statistics and numerical figures that have been compiled and reported by organizations such as government agencies, research institutions, and commercial enterprises. This can include data such as population figures, GDP, sales figures, and market share.
Textual Data: Textual data is often in the form of written documents, such as reports, articles, and books. This can include qualitative data such as descriptions, opinions, and narratives.
Audiovisual Data : Audiovisual data is often in the form of recordings, videos, and photographs. This can include data such as interviews, focus group discussions, and other types of qualitative data.
Geospatial Data: Geospatial data is often in the form of maps, satellite images, and geographic information systems (GIS) data. This can include data such as demographic information, land use patterns, and transportation networks.
Transactional Data : Transactional data is often in the form of digital records of financial and business transactions. This can include data such as purchase histories, customer behavior, and financial transactions.
Social Media Data: Social media data is often in the form of user-generated content from social media platforms such as Facebook, Twitter, and Instagram. This can include data such as user demographics, content trends, and sentiment analysis.

Secondary Data Analysis Methods

Secondary data analysis involves the use of pre-existing data for research purposes. Here are some common methods of secondary data analysis:

Descriptive Analysis: This method involves describing the characteristics of a dataset, such as the mean, standard deviation, and range of the data. Descriptive analysis can be used to summarize data and provide an overview of trends.
Inferential Analysis: This method involves making inferences and drawing conclusions about a population based on a sample of data. Inferential analysis can be used to test hypotheses and determine the statistical significance of relationships between variables.
Content Analysis: This method involves analyzing textual or visual data to identify patterns and themes. Content analysis can be used to study the content of documents, media coverage, and social media posts.
Time-Series Analysis : This method involves analyzing data over time to identify trends and patterns. Time-series analysis can be used to study economic trends, climate change, and other phenomena that change over time.
Spatial Analysis : This method involves analyzing data in relation to geographic location. Spatial analysis can be used to study patterns of disease spread, land use patterns, and the effects of environmental factors on health outcomes.
Meta-Analysis: This method involves combining data from multiple studies to draw conclusions about a particular phenomenon. Meta-analysis can be used to synthesize the results of previous research and provide a more comprehensive understanding of a particular topic.

Secondary Data Gathering Guide

Here are some steps to follow when gathering secondary data:

Define your research question: Start by defining your research question and identifying the specific information you need to answer it. This will help you identify the type of secondary data you need and where to find it.
Identify relevant sources: Identify potential sources of secondary data, including published sources, online databases, government sources, and commercial data providers. Consider the reliability and validity of each source.
Evaluate the quality of the data: Evaluate the quality and reliability of the data you plan to use. Consider the data collection methods, sample size, and potential biases. Make sure the data is relevant to your research question and is suitable for the type of analysis you plan to conduct.
Collect the data: Collect the relevant data from the identified sources. Use a consistent method to record and organize the data to make analysis easier.
Validate the data: Validate the data to ensure that it is accurate and reliable. Check for inconsistencies, missing data, and errors. Address any issues before analyzing the data.
Analyze the data: Analyze the data using appropriate statistical and analytical methods. Use descriptive and inferential statistics to summarize and draw conclusions from the data.
Interpret the results: Interpret the results of your analysis and draw conclusions based on the data. Make sure your conclusions are supported by the data and are relevant to your research question.
Communicate the findings : Communicate your findings clearly and concisely. Use appropriate visual aids such as graphs and charts to help explain your results.

Examples of Secondary Data

Here are some examples of secondary data from different fields:

Healthcare : Hospital records, medical journals, clinical trial data, and disease registries are examples of secondary data sources in healthcare. These sources can provide researchers with information on patient demographics, disease prevalence, and treatment outcomes.
Marketing : Market research reports, customer surveys, and sales data are examples of secondary data sources in marketing. These sources can provide marketers with information on consumer preferences, market trends, and competitor activity.
Education : Student test scores, graduation rates, and enrollment statistics are examples of secondary data sources in education. These sources can provide researchers with information on student achievement, teacher effectiveness, and educational disparities.
Finance : Stock market data, financial statements, and credit reports are examples of secondary data sources in finance. These sources can provide investors with information on market trends, company performance, and creditworthiness.
Social Science : Government statistics, census data, and survey data are examples of secondary data sources in social science. These sources can provide researchers with information on population demographics, social trends, and political attitudes.
Environmental Science : Climate data, remote sensing data, and ecological monitoring data are examples of secondary data sources in environmental science. These sources can provide researchers with information on weather patterns, land use, and biodiversity.

Purpose of Secondary Data

The purpose of secondary data is to provide researchers with information that has already been collected by others for other purposes. Secondary data can be used to support research questions, test hypotheses, and answer research objectives. Some of the key purposes of secondary data are:

To gain a better understanding of the research topic : Secondary data can be used to provide context and background information on a research topic. This can help researchers understand the historical and social context of their research and gain insights into relevant variables and relationships.
To save time and resources: Collecting new primary data can be time-consuming and expensive. Using existing secondary data sources can save researchers time and resources by providing access to pre-existing data that has already been collected and organized.
To provide comparative data : Secondary data can be used to compare and contrast findings across different studies or datasets. This can help researchers identify trends, patterns, and relationships that may not have been apparent from individual studies.
To support triangulation: Triangulation is the process of using multiple sources of data to confirm or refute research findings. Secondary data can be used to support triangulation by providing additional sources of data to support or refute primary research findings.
To supplement primary data : Secondary data can be used to supplement primary data by providing additional information or insights that were not captured by the primary research. This can help researchers gain a more complete understanding of the research topic and draw more robust conclusions.

When to use Secondary Data

Secondary data can be useful in a variety of research contexts, and there are several situations in which it may be appropriate to use secondary data. Some common situations in which secondary data may be used include:

When primary data collection is not feasible : Collecting primary data can be time-consuming and expensive, and in some cases, it may not be feasible to collect primary data. In these situations, secondary data can provide valuable insights and information.
When exploring a new research area : Secondary data can be a useful starting point for researchers who are exploring a new research area. Secondary data can provide context and background information on a research topic, and can help researchers identify key variables and relationships to explore further.
When comparing and contrasting research findings: Secondary data can be used to compare and contrast findings across different studies or datasets. This can help researchers identify trends, patterns, and relationships that may not have been apparent from individual studies.
When triangulating research findings: Triangulation is the process of using multiple sources of data to confirm or refute research findings. Secondary data can be used to support triangulation by providing additional sources of data to support or refute primary research findings.
When validating research findings : Secondary data can be used to validate primary research findings by providing additional sources of data that support or refute the primary findings.

Characteristics of Secondary Data

Secondary data have several characteristics that distinguish them from primary data. Here are some of the key characteristics of secondary data:

Non-reactive: Secondary data are non-reactive, meaning that they are not collected for the specific purpose of the research study. This means that the researcher has no control over the data collection process, and cannot influence how the data were collected.
Time-saving: Secondary data are pre-existing, meaning that they have already been collected and organized by someone else. This can save the researcher time and resources, as they do not need to collect the data themselves.
Wide-ranging : Secondary data sources can provide a wide range of information on a variety of topics. This can be useful for researchers who are exploring a new research area or seeking to compare and contrast research findings.
Less expensive: Secondary data are generally less expensive than primary data, as they do not require the researcher to incur the costs associated with data collection.
Potential for bias : Secondary data may be subject to biases that were present in the original data collection process. For example, data may have been collected using a biased sampling method or the data may be incomplete or inaccurate.
Lack of control: The researcher has no control over the data collection process and cannot ensure that the data were collected using appropriate methods or measures.
Requires careful evaluation : Secondary data sources must be evaluated carefully to ensure that they are appropriate for the research question and analysis. This includes assessing the quality, reliability, and validity of the data sources.

Advantages of Secondary Data

There are several advantages to using secondary data in research, including:

Time-saving : Collecting primary data can be time-consuming and expensive. Secondary data can be accessed quickly and easily, which can save researchers time and resources.
Cost-effective: Secondary data are generally less expensive than primary data, as they do not require the researcher to incur the costs associated with data collection.
Large sample size : Secondary data sources often have larger sample sizes than primary data sources, which can increase the statistical power of the research.
Access to historical data : Secondary data sources can provide access to historical data, which can be useful for researchers who are studying trends over time.
No ethical concerns: Secondary data are already in existence, so there are no ethical concerns related to collecting data from human subjects.
May be more objective : Secondary data may be more objective than primary data, as the data were not collected for the specific purpose of the research study.

Limitations of Secondary Data

While there are many advantages to using secondary data in research, there are also some limitations that should be considered. Some of the main limitations of secondary data include:

Lack of control over data quality : Researchers do not have control over the data collection process, which means they cannot ensure the accuracy or completeness of the data.
Limited availability: Secondary data may not be available for the specific research question or study design.
Lack of information on sampling and data collection methods: Researchers may not have access to information on the sampling and data collection methods used to gather the secondary data. This can make it difficult to evaluate the quality of the data.
Data may not be up-to-date: Secondary data may not be up-to-date or relevant to the current research question.
Data may be incomplete or inaccurate : Secondary data may be incomplete or inaccurate due to missing or incorrect data points, data entry errors, or other factors.
Biases in data collection: The data may have been collected using biased sampling or data collection methods, which can limit the validity of the data.
Lack of control over variables: Researchers have limited control over the variables that were measured in the original data collection process, which can limit the ability to draw conclusions about causality.

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Qualitative Data – Types, Methods and Examples

Information in Research – Types and Examples

Primary Data – Types, Methods and Examples

Research Data – Types Methods and Examples

Quantitative Data – Types, Methods and Examples

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26 Reading: Secondary Data Analysis

While sociologists often engage in original research studies, they also contribute knowledge to the discipline through secondary data analysis . Secondary data is data obtained from already existing sources. Sociologists might study works written by historians, economists, teachers, or early sociologists. They might search through periodicals, newspapers, or magazines from any period in history. All of this information is already available to the researcher. They do not have to spend the time obtaining new information.

Content Analysis of Poor in Magazines

Martin Gilens (1996) wanted to find out why survey research shows that the American public substantially exaggerates the percentage of African Americans among the poor. He examined whether media representations influence public perceptions and did a content analysis of photographs of poor people in American news magazines. He coded and then systematically recorded incidences of three variables: (1) Race: white, black, indeterminate; (2) Employed: working, not working; and (3) Age. Gilens discovered that not only were African Americans markedly overrepresented in news magazine photographs of poverty, but that the photos also tended to underrepresent “sympathetic” subgroups of the poor—the elderly and working poor—while overrepresenting less sympathetic groups—unemployed, working age adults. Gilens concluded that by providing a distorted representation of poverty, U.S. news magazines “reinforce negative stereotypes of blacks as mired in poverty and contribute to the belief that poverty is primarily a ‘black problem’” (1996).

Social scientists also learn by analyzing the research of a variety of agencies. Governmental departments and global groups, like the U.S. Bureau of Labor Statistics or the World Health Organization, publish studies with findings that are useful to sociologists. A public statistic like the foreclosure rate might be useful for studying the effects of the 2008 recession; a racial demographic profile might be compared with data on education funding to examine the resources accessible by different groups.

But, in some cases, there is no way to verify the accuracy of existing data. It is easy to count how many drunk drivers, for example, are pulled over by the police. But how many are not? While it’s possible to discover the percentage of teenage students who drop out of high school, it might be more challenging to determine the number who return to school or get their GED later.

Another problem arises when data are unavailable in the exact form needed or do not include the precise angle the researcher seeks. For example, the average salaries paid to professors at a public school is public record. But the separate figures don’t necessarily reveal how long it took each professor to reach the salary range, what their educational backgrounds are, or how long they’ve been teaching.

When conducting content analysis, it is important to consider the date of publication of an existing source and to take into account attitudes and common cultural ideals that may have influenced the research. For example, Robert S. Lynd and Helen Merrell Lynd gathered research for their book Middletown: A Study in Modern American Culture in the 1920s. Attitudes and cultural norms were vastly different then than they are now. Beliefs about gender roles, race, education, and work have changed significantly since then. At the time, the study’s purpose was to reveal the truth about small U.S. communities. Today, it is an illustration of 1920s’ attitudes and values.

1. Which materials are considered secondary data?

Photos and letters given to you by another person
Books and articles written by other authors about their studies
Information that you have gathered and now have included in your results
Responses from participants whom you both surveyed and interviewed

2. Using secondary data is considered an unobtrusive or ________ research method.

nonreactive
nonparticipatory
nonrestrictive
non-confrontive

[reveal-answer q=”755625″]Show Glossary[/reveal-answer] [hidden-answer a=”755625″]

[/hidden-answer]

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5.11: Summary of Research Methods

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Learning Outcomes

Differentiate between the four kinds of research methods: surveys, field research, experiments, and secondary data analysis

Making Connections: When is Sharing Not Such a Good Idea?

A woman injecting her arm in an alleyway while two other men stand nearby.

Choosing a research methodology depends on a number of factors, including the purpose of the research and the audience for whom the research is intended. If we consider the type of research that might go into producing a government policy document on the effectiveness of safe injection sites for reducing the public health risks of intravenous drug use, we would expect public administrators to want “hard” (i.e., quantitative) evidence of high reliability to help them make a policy decision. The most reliable data would come from an experimental or quasi-experimental research model in which a control group can be compared with an experimental group using quantitative measures.

This approach has been used by researchers studying InSite in Vancouver (Marshall et al. 2011; Wood et al. 2006). InSite is a supervised safe-injection site where heroin addicts and other intravenous drug users can go to inject drugs in a safe, clean environment. Clean needles are provided and health care professionals are on hand to intervene in the case of overdose or other medical emergency. It is a controversial program both because heroin use is against the law (the facility operates through a federal ministerial exemption) and because the heroin users are not obliged to quit using or seek therapy. To assess the effectiveness of the program, researchers compared the risky usage of drugs in populations before and after the opening of the facility and geographically near and distant to the facility. The results from the studies have shown that InSite has reduced both deaths from overdose and risky behaviours, such as the sharing of needles, without increasing the levels of crime associated with drug use and addiction.

On the other hand, if the research question is more exploratory (for example, trying to discern the reasons why individuals in the crack smoking subculture engage in the risky activity of sharing pipes), the more nuanced approach of fieldwork is more appropriate. The research would need to focus on the subcultural context, rituals, and meaning of sharing pipes, and why these phenomena override known health concerns. Graduate student Andrew Ivsins at the University of Victoria studied the practice of sharing pipes among 13 habitual users of crack cocaine in Victoria, B.C. (Ivsins 2010). He met crack smokers in their typical setting downtown and used an unstructured interview method to try to draw out the informal norms that lead to sharing pipes. One factor he discovered was the bond that formed between friends or intimate partners when they shared a pipe. He also discovered that there was an elaborate subcultural etiquette of pipe use that revolved around the benefit of getting the crack resin smokers left behind. Both of these motives tended to outweigh the recognized health risks of sharing pipes (such as hepatitis) in the decision making of the users. This type of research was valuable in illuminating the unknown subcultural norms of crack use that could still come into play in a harm reduction strategy such as distributing safe crack kits to addicts.

Watch this video to review some of the key methods used in conducting sociological research.

An interactive or media element has been excluded from this version of the text. You can view it online here: http://pb.libretexts.org/its/?p=104

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2.3 Research Design in Sociology

Learning objective.

List the major advantages and disadvantages of surveys, experiments, and observational studies.

We now turn to the major methods that sociologists use to gather the information they analyze in their research. Table 2.2 “Major Sociological Research Methods” summarizes the advantages and disadvantages of each method.

Table 2.2 Major Sociological Research Methods

Types of Sociological Research

The survey is the most common method by which sociologists gather their data. The Gallup Poll is perhaps the best-known example of a survey and, like all surveys, gathers its data with the help of a questionnaire that is given to a group of respondents. The Gallup Poll is an example of a survey conducted by a private organization, but it typically includes only a small range of variables. It thus provides a good starting point for research but usually does not include enough variables for a full-fledged sociological study. Sociologists often do their own surveys, as does the government and many organizations in addition to Gallup.

The survey is the most common research design in sociological research. Respondents either fill out questionnaires themselves or provide verbal answers to interviewers asking them the questions.

The Bees – Surveys to compile – CC BY-NC 2.0.

The General Social Survey, described earlier, is an example of a face-to-face survey, in which interviewers meet with respondents to ask them questions. This type of survey can yield a lot of information, because interviewers typically will spend at least an hour asking their questions, and a high response rate (the percentage of all people in the sample who agree to be interviewed), which is important to be able to generalize the survey’s results to the entire population. On the downside, this type of survey can be very expensive and time-consuming to conduct.

Because of these drawbacks, sociologists and other researchers have turned to telephone surveys. Most Gallup Polls are conducted over the telephone. Computers do random-digit dialing, which results in a random sample of all telephone numbers being selected. Although the response rate and the number of questions asked are both lower than in face-to-face surveys (people can just hang up the phone at the outset or let their answering machine take the call), the ease and low expense of telephone surveys are making them increasingly popular.

Mailed surveys, done by mailing questionnaires to respondents, are still used, but not as often as before. Compared with face-to-face surveys, mailed questionnaires are less expensive and time consuming but have lower response rates, because many people simply throw out the questionnaire along with other junk mail.

Whereas mailed surveys are becoming less popular, surveys done over the Internet are becoming more popular, as they can reach many people at very low expense. A major problem with Web surveys is that their results cannot necessarily be generalized to the entire population, because not everyone has access to the Internet.

Experiments

Experiments are the primary form of research in the natural and physical sciences, but in the social sciences they are for the most part found only in psychology. Some sociologists still use experiments, however, and they remain a powerful tool of social research.

The major advantage of experiments is that the researcher can be fairly sure of a cause-and-effect relationship because of the way the experiment is set up. Although many different experimental designs exist, the typical experiment consists of an experimental group and a control group , with subjects randomly assigned to either group. The researcher makes a change to the experimental group that is not made to the control group. If the two groups differ later in some variable, then it is safe to say that the condition to which the experimental group was subjected was responsible for the difference that resulted.

A student working on an experiment in science class

Experiments are very common in the natural and physical sciences and in sociology. A major advantage of experiments is that they are very useful for establishing cause-and-effect-relationships.

biologycorner – Science Experiment – CC BY-NC 2.0.

Most experiments take place in the laboratory, which for psychologists may be a room with a one-way mirror, but some experiments occur in “the field,” or in a natural setting. In Minneapolis, Minnesota, in the early 1980s, sociologists were involved in a much-discussed field experiment sponsored by the federal government. The researchers wanted to see whether arresting men for domestic violence made it less likely that they would commit such violence again. To test this hypothesis, the researchers had police do one of the following after arriving at the scene of a domestic dispute: they either arrested the suspect, separated him from his wife or partner for several hours, or warned him to stop but did not arrest or separate him. The researchers then determined the percentage of men in each group who committed repeated domestic violence during the next 6 months and found that those who were arrested had the lowest rate of recidivism, or repeat offending (Sherman & Berk, 1984). This finding led many jurisdictions across the United States to adopt a policy of mandatory arrest for domestic violence suspects. However, replications of the Minneapolis experiment in other cities found that arrest sometimes reduced recidivism for domestic violence but also sometimes increased it, depending on which city was being studied and on certain characteristics of the suspects, including whether they were employed at the time of their arrest (Sherman, 1992).

As the Minneapolis study suggests, perhaps the most important problem with experiments is that their results are not generalizable beyond the specific subjects studied. The subjects in most psychology experiments, for example, are college students, who are not typical of average Americans: they are younger, more educated, and more likely to be middle class. Despite this problem, experiments in psychology and other social sciences have given us very valuable insights into the sources of attitudes and behavior.

Observational Studies and Intensive Interviewing

Observational research, also called field research, is a staple of sociology. Sociologists have long gone into the field to observe people and social settings, and the result has been many rich descriptions and analyses of behavior in juvenile gangs, bars, urban street corners, and even whole communities.

Observational studies consist of both participant observation and nonparticipant observation . Their names describe how they differ. In participant observation, the researcher is part of the group that she or he is studying. The researcher thus spends time with the group and might even live with them for a while. Several classical sociological studies of this type exist, many of them involving people in urban neighborhoods (Liebow, 1967, 1993; Whyte, 1943). Participant researchers must try not to let their presence influence the attitudes or behavior of the people they are observing. In nonparticipant observation, the researcher observes a group of people but does not otherwise interact with them. If you went to your local shopping mall to observe, say, whether people walking with children looked happier than people without children, you would be engaging in nonparticipant observation.

A related type of research design is intensive interviewing . Here a researcher does not necessarily observe a group of people in their natural setting but rather sits down with them individually and interviews them at great length, often for one or two hours or even longer. The researcher typically records the interview and later transcribes it for analysis. The advantages and disadvantages of intensive interviewing are similar to those for observational studies: intensive interviewing provides much information about the subjects being interviewed, but the results of such interviewing cannot necessarily be generalized beyond the subjects.

A classic example of field research is Kai T. Erikson’s Everything in Its Path (1976), a study of the loss of community bonds in the aftermath of a flood in a West Virginia mining community, Buffalo Creek. The flood occurred when an artificial dam composed of mine waste gave way after days of torrential rain. The local mining company had allowed the dam to build up in violation of federal law. When it broke, 132 million gallons of water broke through and destroyed several thousand homes in seconds while killing 125 people. Some 2,500 other people were rendered instantly homeless. Erikson was called in by the lawyers representing the survivors to document the sociological effects of their loss of community, and the book he wrote remains a moving account of how the destruction of the Buffalo Creek way of life profoundly affected the daily lives of its residents.

Intensive interviewing can yield in-depth information about the subjects who are interviewed, but the results of this research design cannot necessarily be generalized beyond these subjects.

Fellowship of the Rich – Interview – CC BY-NC-ND 2.0.

Similar to experiments, observational studies cannot automatically be generalized to other settings or members of the population. But in many ways they provide a richer account of people’s lives than surveys do, and they remain an important method of sociological research.

Existing Data

Sometimes sociologists do not gather their own data but instead analyze existing data that someone else has gathered. The U.S. Census Bureau, for example, gathers data on all kinds of areas relevant to the lives of Americans, and many sociologists analyze census data on such topics as poverty, employment, and illness. Sociologists interested in crime and the legal system may analyze data from court records, while medical sociologists often analyze data from patient records at hospitals. Analysis of existing data such as these is called secondary data analysis . Its advantage to sociologists is that someone else has already spent the time and money to gather the data. A disadvantage is that the data set being analyzed may not contain data on all the variables in which a sociologist may be interested or may contain data on variables that are not measured in ways the sociologist might prefer.

Nonprofit organizations often analyze existing data, usually gathered by government agencies, to get a better understanding of the social issue with which an organization is most concerned. They then use their analysis to help devise effective social policies and strategies for dealing with the issue. The “Learning From Other Societies” box discusses a nonprofit organization in Canada that analyzes existing data for this purpose.

Learning From Other Societies

Social Research and Social Policy in Canada

In several nations beyond the United States, nonprofit organizations often use social science research, including sociological research, to develop and evaluate various social reform strategies and social policies. Canada is one of these nations. Information on Canadian social research organizations can be found at http://www.canadiansocialresearch.net/index.htm .

The Canadian Research Institute for Social Policy (CRISP) at the University of New Brunswick is one of these organizations. According to its Web site ( http://www.unb.ca/crisp/index.php ), CRISP is “dedicated to conducting policy research aimed at improving the education and care of Canadian children and youth…and supporting low-income countries in their efforts to build research capacity in child development.” To do this, CRISP analyzes data from large data sets, such as the Canadian National Longitudinal Survey of Children and Youth, and it also evaluates policy efforts at the local, national, and international levels.

A major concern of CRISP has been developmental problems in low-income children and teens. These problems are the focus of a CRISP project called Raising and Leveling the Bar: A Collaborative Research Initiative on Children’s Learning, Behavioral, and Health Outcomes. This project at the time of this writing involved a team of five senior researchers and almost two dozen younger scholars. CRISP notes that Canada may have the most complete data on child development in the world but that much more research with these data needs to be performed to help inform public policy in the area of child development. CRISP’s project aims to use these data to help achieve the following goals, as listed on its Web site: (a) safeguard the healthy development of infants, (b) strengthen early childhood education, (c) improve schools and local communities, (d) reduce socioeconomic segregation and the effects of poverty, and (e) create a family enabling society ( http://www.unb.ca/crisp/rlb.html ). This project has written many policy briefs, journal articles, and popular press articles to educate varied audiences about what the data on children’s development suggest for child policy in Canada.

Key Takeaways

The major types of sociological research include surveys, experiments, observational studies, and the use of existing data.
Surveys are very common and allow for the gathering of much information on respondents that is relatively superficial. The results of surveys that use random samples can be generalized to the population that the sample represents.
Observational studies are also very common and enable in-depth knowledge of a small group of people. Because the samples of these studies are not random, the results cannot necessarily be generalized to a population.
Experiments are much less common in sociology than in psychology. When field experiments are conducted in sociology, they can yield valuable information because of their experimental design.

For Your Review

Write a brief essay in which you outline the various kinds of surveys and discuss the advantages and disadvantages of each type.
Suppose you wanted to study whether gender affects happiness. Write a brief essay that describes how you would do this either with a survey or with an observational study.

Erikson, K. T. (1976). Everything in its path: Destruction of community in the Buffalo Creek flood . New York, NY: Simon and Schuster.

Liebow, E. (1967). Tally’s corner . Boston, MA: Little, Brown.

Liebow, E. (1993). Tell them who I am: The lives of homeless women . New York, NY: Free Press.

Sherman, L W. (1992). Policing domestic violence: Experiments and dilemmas . New York, NY: Free Press.

Sherman, L. W., & Berk, R. A. (1984). The specific deterrent effects of arrest for domestic assault. American Sociological Review, 49 , 261–272.

Whyte, W. F. (1943). Street corner society: The social structure of an Italian slum . Chicago, IL: University of Chicago Press.

ReviseSociology

A level sociology revision – education, families, research methods, crime and deviance and more!

Research Methods

Table of Contents

Last Updated on October 13, 2023 by Karl Thompson

Sociologists use a range of quantitative and qualitative, primary and secondary social research methods to collect data about society.

The main types of research method are:

Social surveys (questionnaires and structured interviews)
Experiments (Lab and Field)
Unstructured interviews
Partipant Observation
Secondary qualitative data
Official Statistics.

This page provides links to more in depth posts on all of the above research methods. It has primarily been written for students studying the A Level Sociology AQA 7192 specification, and incorporates Methods in the Context of Education.

Research Methods at a Glance – Key Concepts

Research Methods Top Ten Key Concepts – start here if you’re all at sea – includes simple explanations of terms such as validity, reliability, representativeness, Positivism and Interpretivism .

Research Methods A-Z Glossary – a more comprehensive index of the key terms you need to know for AS and A Level Sociology .

An Introduction to Research Methods

Without research methods there is no sociology!

This section covers the basics of the different types of research method and factors influencing choice of research methods, also the important distinction between Positivism and Interpretivism.

Research Methods in Sociology – An Introduction – d etailed class notes covering the basic types of research method available to sociologists such as social surveys, interviews, experiments, and observations

Factors Effecting Choice of Research Topic in Sociology – detailed class notes on the theoretical, ethical, and practical factors effecting the choice of research methods

Factors Effecting Choice of Research Method in Sociology – detailed class notes covering theoretical, practical and ethical factors and the nature of topic. NB choice of topic will affect choice of research method. Choice of topic and method are different issues!

Positivism and Interpretivism – Positivists generally prefer quantitative methods, Interpretivists prefer qualitative methods – this post consists of brief summary revision notes and revision diagrams outlining the difference between positivist and interpretivist approaches to social research.

Positivism, Sociology and Social Research – detailed class notes on the relationship between The Enlightenment, industrialisation and positivist sociology, which sees sociology as a science.

Stages of Social Research – detailed class notes covering research design, operationalising concepts, sampling, pilot studies, data collection and data analysis.

Outline and explain two practical problems which might affect social research (10) – A model answer to this exam question, which could appear on either paper 7191 (1) or 7191 (3).

Good Resources for Teaching and Learning Research Method s – simply links (with brief descriptions) which take you to a range of text books and web sites which focus on various aspects of quantitative and qualitative research methods. NB this post is very much a work in progress, being updated constantly.

Primary Quantitative Research Methods

social surveys.

An Introduction to Social Surveys – a brief introduction to the use of different types of survey in social research, including structured questionnaires and interviews and different ways of administering surveys such as online, by phone or face to face.

The advantages and disadvantages of social surveys in social research – detailed class notes covering the theoretical, practical and ethical strengths and limitations of social surveys. Generally, surveys are preferred by positivists and good for simple topics, but not so good for more complex topics which require a ‘human touch’ .

Structured Interviews in Social Research – Interviews are effectively one of the means of administering social surveys. This post covers the different contexts (types) of structured interview, and the stages of doing them. It also looks at the strengths, limitations and criticisms.

Experiments

An Introduction to Experiments in Sociology – a brief introduction covering definitions of key terms including hypotheses, dependent and independent variables and the Hawthorne Effect. NB sociologists don’t generally use experiments, especially not lab experiments, but you still need to know about them!

Laboratory Experiments in Sociology – detailed class notes on the strengths and limitations of laboratory experiments. Sociologists don’t generally use lab experiments, but examiners seem to ask questions about them more than other methods – one hypothesis for why is that sociology examiners have a burning hatred of teenagers.

Field Experiments in Sociology – detailed class notes on the strengths and limitations of field experiments. Field experiments take place in real life social settings so are more ‘sociological’ than lab experiments.

Seven Examples of Field Experiment for Sociology – class notes outlining a mixture of seven classic and contemporary field experiments relevant to various aspects of the AS and A level sociology syllabus .

Longitudinal Studies

Longitudinal Studies – These are interval studies designed to explore changes over a long period of time. Researchers start with a sample and keep going back to that same sample periodically – say every year, or every two years, to explore how and why changes occur.

The Seven Up Series – an in-depth look at Britain’s longest running and best loved Longitudinal study.

What Makes a Good Life ? – Lessons from a Longitudinal Study – This is one of the longest running Longitudinal studies in the world – the respondents were in their 20s when it started, now those who are still alive are in their 80s.

Primary Qualitative Research Methods

Primary qualitative research methods tend to be favoured by Interpretivists as they allow respondents to speak for themselves, and should thus yield valid data. However, because qualitative methods tend to involve the researcher getting more involved with the respondents, there is a risk that the subjective views of the researcher could interfere with the results, which could compromise both the validity and reliability of such methods.

Qualitative research methods also tend to be time consuming and so it can be difficult to to them with large samples of people.

Participant Observation

Overt and Covert Participant Observation – Participant Observation is where researchers take part in the life of respondents, sometimes for several months or even years, and try to ‘see the world through their eyes’. Overt research is where respondents know the researcher is doing research, covert is where the researcher is undercover.

The strengths and limitations of covert participant observation – sociologists don’t generally use covert participant observation because of the ethical problem of deception means they can’t get funding. This methods is more commonly used by journalists doing investigative reporting, or you could even say undercover police officers use it, and you can use these examples to illustrate the advantages and disadvantages of this method.

Some recent examples of sociological studies using participant observation – including Pearson’s covert research into football hooligans and Mears’s research into the modelling industry.

Non-Participant Observation – detailed class notes on non-participant observation. This is where the researcher observes from the sidelines and makes observations. Probably the most commonly used form of this is the OFSTED inspection.

Interviews in Social Research – This post consists of detailed class notes focusing strengths and limitations of mainly unstructured interviews, which are like a guided conversation that allow respondents the freedom to speak for themselves.

Secondary Research Methods

Official statistics.

Official Statistics in Sociology – class notes on the general strengths and limitations of official statistics, which are numerical data collected by the government. Examples include crime statistics, school league tables and education statistics.

Evaluating the Usefulness of Official Statistics – the UK government collects a wide variety of statistics, the validity of which can vary enormously. This post explores the validity of Religious belief statistics, crime and prison statistics, and immigration data, among other sources of data.

Cross National Comparisons – Comparing data across countries using official statistics can provide insight into the causes of social problems such as poverty, and war and conflict. This post looks at how you might go about doing this and the strengths and limitations of this kind of research.

Univariate Analysis in Quantitative Social Research – This involves looking at one variable at a time. This post covers the strengths and limitations of bar charts, pie charts and box plots.

Secondary Qualitative Data

Secondary Qualitative Data Analysis in Sociology – class notes covering private and public documents. Public documents include any written or visual document produced with an audience in mind, such things as government reports and newspapers, whereas private documents refer to personal documents such as diaries and letters which are not intended to be seen by their authors.

Content Analysis of the Media in Social Research – class notes covering formal content (quantitative) analysis and semiology .

Personal documents in social research – a more in-depth look at the strengths and limitations of using sources such as diaries and letters as sources of data.

Autobiographies in social research – Autobiographies are popular with the British public, but how useful are they as sources of data for the social researcher?

Sociology, Science and Value Freedom (Part of A2 Theory and Methods)

Sociology and Value Freedom – Detailed class notes .

Methods in Context – Research Methods Applied to Education

Field Experiments applied to Education – are Chinese Teaching Methods the Best? This is a summary of a documentary in which some students at one school undertook a Chinese style of teaching for 3 months, involving 12 hour days and ‘teach from the front techniques’. The students were then tested and their results compared to students from the same school who stuck to the traditional British way of teaching. The results may surprise you!

Participant Observation in Education – focusing on the work of Paul Willis and Mac An Ghail.

Non-Participant Observation in Education – focusing on OFSTED inspections, as these are probably the most commonly used of all methods in education .

The Strengths and Limitations of Education Statistics – This post discusses the strengths and limitations of results statistics. NB these may not be as valid as you think .

Evaluating the Usefulness of Secondary Qualitative Data to Research Education – there are lot of documents sociologists may use to research education, including school promotional literature and web sites, policy documents, written records on students, and, if they can access them, personal messages between students referring to what they think about school.

Focus on the AS and A Level Exams

Research Methods Practice Questions for A-level Sociology – you will get a 10 mark question on both papers SCLY1 and SCLY3 most likely asking you to ‘outline and explain’ the strengths and limitations of any of the main research methods. This post outlines some of the many variations.

Research Methods Essays – How to Write Them – general advice on writing research methods essays for the AS and A level sociology exams. This post covers the PET technique – Practical, Ethical and Theoretical.

Assess the Strengths of Using Participant Observation in Social Research (20) – example essay, top mark band.

Methods in Context Essay Template – a suggested gap fill essay plan on how to answer these challenging ‘applied research methods’ questions.

Methods in Context Mark Scheme – pared down mark scheme – easy to understand! It may surprise you to know that you can get up to 12/20 for just writing about the method, without even applying it to the question!

Outline and explain two advantages of overt compared to covert observation (10) – you might think that being undercover provides you with more valid data than when respondents know you are observing them, however, there are a few reasons why this might not be the case. This post explores why, and some of the other advantages overt has over covert observation. (Honestly, covert is a lot of hassle!). NB this post is written as a response to an exam style question .

Using Participant Observation to research pupils with behavourial difficulties (20) – a model answer for this methods in context style of essay.

For more links to methods and applied methods essays see my page – ‘ Exams, Essays and Short Answer Questions ‘.

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Secondary Data

In sociology, secondary data refers to data that is already available to the sociologist as opposed to primary data which they produce themselves. This might include official statistics, for example. An advantage of secondary data is its practicality: conducting primary research is time-consuming and difficult and can be expensive, so if relevant data already exists, why not use it? However, the researcher has no control over how that data was produced. It will have been produced for a purpose and it is very unlikely to have been for the purpose it is now being put. For example, statistics might be produced for political reasons and be subject to manipulation or bias.

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Chapter 2: Sociological Research

Summary of social research methods, learning outcomes.

Differentiate between the four kinds of research methods: surveys, field research, experiments, and secondary data analysis

Making Connections: When is Sharing Not Such a Good Idea?

Figure 1. Crack cocaine users in downtown Vancouver. (Photo courtesy of Wikimedia commons)

This approach has been used by researchers studying InSite in Vancouver (Marshall et al., 2011; Wood et al., 2006). InSite is a supervised safe-injection site where heroin addicts and other intravenous drug users can go to inject drugs in a safe, clean environment. Clean needles are provided and health care professionals are on hand to intervene in the case of overdose or other medical emergency. It is a controversial program both because heroin use is against the law (the facility operates through a federal ministerial exemption) and because the heroin users are not obliged to quit using or seek therapy. To assess the effectiveness of the program, researchers compared the risky usage of drugs in populations before and after the opening of the facility and geographically near and distant to the facility. The results from the studies have shown that InSite has reduced both deaths from overdose and risky behaviours, such as the sharing of needles, without increasing the levels of crime associated with drug use and addiction.

IMAGES

Research Methods in Sociology
15 Secondary Research Examples (2024)
Sociology GCSE Research Methods (9-1)
Secondary Data: Advantages, Disadvantages, Sources, Types
295 Sociology Research Topics and Tips to Consider
Research Methods in Sociology

VIDEO

Qualitative Methodology
Research Methodology
Epistemologies of Social Research
Psychological Statistics 6
SOCIAL RESEARCH METHODS
Alternatives to Social Science Research

COMMENTS

Research Methods: Secondary Data Analysis
Secondary Data. While sociologists often engage in original research studies, they also contribute knowledge to the discipline through secondary data analysis. Secondary data do not result from firsthand research collected from primary sources, but are the already completed work of other researchers. Sociologists might study works written by ...
2.2 Research Methods
Recall the 6 Steps of the Scientific Method. Differentiate between four kinds of research methods: surveys, field research, experiments, and secondary data analysis. Explain the appropriateness of specific research approaches for specific topics. Sociologists examine the social world, see a problem or interesting pattern, and set out to study it.
Secondary Qualitative Research Methodology Using Online Data within the
The British Sociological Association ... (2018) of diversity, equity, and autonomy, we developed a new hybrid secondary research methodology combining pragmatic qualitative research approach, discursive grounded theory, and narrative approach within the pragmatism research paradigm. In addition to adopting some of the existing overlaps between ...
Research Methods in Sociology
Secondary Research Methods . The main type of secondary quantitative data which students of A-level sociology need to know about are official statistics, which are data collected by government agencies, usually on a regular basis and include crime statistics, the Census and quantitative schools data such as exam results.
5.10: Secondary Data Analysis
Figure 1. This 1930 Chicago census record is an example of secondary data. Using available information not only saves time and money but can also add depth to a study. Sociologists often interpret findings in a new way, a way that was not part of an author's original purpose or intention. To study how women were encouraged to act and behave ...
Secondary Data Analysis
Secondary Data. While sociologists often engage in original research studies, they also contribute knowledge to the discipline through secondary data analysis. Secondary data do not result from firsthand research collected from primary sources, but are the already completed work of other researchers. Sociologists might study works written by ...
Summary of Research Methods
Differentiate between the four kinds of research methods: surveys, field research, experiments, and secondary data analysis. Sociological research is a fairly complex process. As you can see, a lot goes into even a simple research design. There are many steps and much to consider when collecting data on human behavior, as well as in ...
4.22: Reading: Secondary Data Analysis
Secondary data don't result from firsthand research collected from primary sources, but are the already completed work of other researchers. Sociologists might study works written by historians, economists, teachers, or early sociologists. They might search through periodicals, newspapers, or magazines from any period in history.
Sage Research Methods
Research Methodology: Using Online Technology for Secondary Analysis of Survey Research Data - "Act Globally, Think Locally". Testing Mediation Using Multiple Regression and Structural Equation Modeling Analyses in Secondary Data. Police Involvement in Child Protective Services Investigations: Literature Review and Secondary Data Analysis.
Research Methods
In planning studies' designs, sociologists generally choose from four widely used methods of social investigation: survey, field research, experiment, and secondary data analysis, or use of existing sources. Every research method comes with plusses and minuses, and the topic of study strongly influences which method or methods are put to use.
What is Secondary Research?
Revised on January 12, 2024. Secondary research is a research method that uses data that was collected by someone else. In other words, whenever you conduct research using data that already exists, you are conducting secondary research. On the other hand, any type of research that you undertake yourself is called primary research.
Secondary Data
Types of secondary data are as follows: Published data: Published data refers to data that has been published in books, magazines, newspapers, and other print media. Examples include statistical reports, market research reports, and scholarly articles. Government data: Government data refers to data collected by government agencies and departments.
Reading: Secondary Data Analysis
26. Reading: Secondary Data Analysis. While sociologists often engage in original research studies, they also contribute knowledge to the discipline through secondary data analysis. Secondary data is data obtained from already existing sources. Sociologists might study works written by historians, economists, teachers, or early sociologists.
The strengths and limitations of secondary data
Strengths of using secondary data in social research. There is a lot of it! It is the richest vein of information available to researchers in many topic areas. Also, some large data sets might not exist if it wasn't for the government collecting data. Sometimes documents and official statistics might be the only means of researching the past.
5.11: Summary of Research Methods
Sociologists use scientific methods for good reason. The scientific method provides a system of organization that helps researchers plan and conduct the study while ensuring that data and results are reliable, valid, and objective. The many methods available to researchers—including experiments, surveys, field studies, and secondary data ...
Secondary Qualitative Data in Sociology
Secondary Qualitative Data is information that already exists in written or audio visual format. Secondary Qualitative Data typically take the form of documents - and there are a huge variety of them. They include government reports, newspapers, novels, letters, diaries, as well as pictures, and television and radio output. It is useful to distinguish between official
2.3 Research Design in Sociology
Table 2.2 "Major Sociological Research Methods ... Analysis of existing data such as these is called secondary data analysis. Its advantage to sociologists is that someone else has already spent the time and money to gather the data. A disadvantage is that the data set being analyzed may not contain data on all the variables in which a ...
Field Research
Field research refers to gathering primary data from a natural environment without doing a lab experiment or a survey. It is a research method suited to an interpretive framework rather than to the scientific method. To conduct field research, the sociologist must be willing to step into new environments and observe, participate, or experience ...
Research Methods
A Level Sociology Research Methods | Revisesociology.com Sociologists use a range of quantitative and qualitative, primary and secondary social research methods to collect data about society. The main types of research method are: Social surveys (questionnaires and structured interviews) Experiments (Lab and Field) Unstructured interviews Partipant Observation Secondary qualitative data ...
Secondary Data
In sociology, secondary data refers to data that is already available to the sociologist as opposed to primary data which they produce themselves. This might include official statistics, for example. An advantage of secondary data is its practicality: conducting primary research is time-consuming and difficult and can be expensive, so if relevant data already exists, why not use it? However ...
FAQs about Secondary Research
Secondary research is considered human subjects research that requires IRB review when the specimens/data are identifiable to the researchers and were collected for another purpose than the planned research. The following is an example of secondary research: An investigator learns of preliminary data from a study that suggests cigarette smoking leads to specific epigenetic changes that ...
Outcome: Research Methods
Discuss the benefits of conducting sociological experiments. Explain the three types of field research. Define and give examples of secondary data analysis. Differentiate between the four kinds of research methods: surveys, field research, experiments, and secondary data analysis. Understand why ethical standards exist.
Summary of Social Research Methods
Differentiate between the four kinds of research methods: surveys, field research, experiments, and secondary data analysis. Sociological research is a fairly complex process. As you can see, a lot goes into even a simple research design. There are many steps and much to consider when collecting data on human behavior, as well as in ...

2.2 Research Methods

Field Research

Sociology in the Real World

Participant Observation

Ethnography

Institutional Ethnography

Sociological Research

Experiments

Secondary Data Analysis

Secondary Data Analysis

Secondary Data

Content Analysis of Poor in Magazines

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SAGE Secondary Data Analysis

Front Matter

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8 Research Methods

Field Research

Participant Observation

Institutional Ethnography

Experiments

Secondary Data Analysis

Section Quiz

Short Answer

Further Research

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What is Secondary Research? | Definition, Types, & Examples

Table of contents

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Statistical analysis

Advantages of secondary research

Disadvantages of secondary research

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Tegan George

Secondary Data – Types, Methods and Examples

Secondary Data

Secondary Data Types

Secondary Data Collection Methods

Secondary Data Formats

Secondary Data Analysis Methods

Secondary Data Gathering Guide

Examples of Secondary Data

Purpose of Secondary Data

When to use Secondary Data

Characteristics of Secondary Data

Advantages of Secondary Data

Limitations of Secondary Data

About the author

Muhammad Hassan

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26 Reading: Secondary Data Analysis

Content Analysis of Poor in Magazines

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5.11: Summary of Research Methods

Learning Outcomes

Making Connections: When is Sharing Not Such a Good Idea?

2.3 Research Design in Sociology

Types of Sociological Research

Experiments

Observational Studies and Intensive Interviewing

Existing Data

Learning From Other Societies

Key Takeaways

For Your Review

Research Methods

Research Methods at a Glance – Key Concepts

An Introduction to Research Methods

Primary Quantitative Research Methods

Experiments

Longitudinal Studies

Primary Qualitative Research Methods