what is research plan in sociology

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.

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?”

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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How to write a Research Proposal: Explained with Examples

At some time in your student phase, you will have to do a Thesis or Dissertation, and for that, you will have to submit a research proposal. A Research Proposal in its most basic definition is a formally structured document that explains what, why, and how of your research. This document explains What you plan to research (your topic or theme of research), Why you are doing this research (justifying your research topic), and How you will do (your approach to complete the research). The purpose of a proposal is to convince other people apart from yourself that the work you’re doing is suitable and feasible for your academic position.

The process of writing a research proposal is lengthy and time-consuming. Your proposal will need constant edits as you keep taking your work forward and continue receiving feedback. Although, there is a structure or a template that needs to be followed. This article will guide you through this strenuous task. So, let’s get to work!

Research Proposal: Example

[ Let us take a running example throughout the article so that we cover all the points. Let us assume that we are working on a dissertation that needs to study the relationship between Gender and Money. ]

The Title is one of the first things the reader comes across. Your title should be crisp yet communicate all that you are trying to convey to the reader. In academia, a title gets even more weightage because in a sea of resources, sometimes your research project can get ignored because the title didn’t speak for itself. Therefore, make sure that you brainstorm multiple title options and see which fits the best. Many times in academic writing we use two forms of titles: the Main Title and the Subtitle. If you think that you cannot justify your research using just a Title, you can add a subtitle which will then convey the rest of your explanation.

[ Explanation through an example: Our theme is “Gender and Money”.

Insider’s Info: If you are not confident about your title in your research proposal, then write “Tentative Title” in brackets and italic below your Title. In this way, your superiors (professor or supervisor) will know that you are still working on fixing the title.

Overview / Abstract

Existing literature, difference between “literature review” and “existing literature”.

A literature review is a detailed essay that discusses all the material which is already out there regarding your topic. For a literature review, you will have to mention all the literature you have read and then explain how they benefit you in your field of research.

Whereas, an existing literature segment in your research proposal is the compact version of a literature review. It is a two to three-paragraph portion that locates your research topic in the larger argument. Here you need not reveal all your literature resources, but only mention the major ones which will be recurring literature throughout your research.

To find the existing literature on this topic you should find academic articles relating to the themes of money, gender, economy, income, etc. ]

Research Gap

As you read and gather knowledge on your topic, you will start forming your own views. This might lead you to two conclusions. First, there exists a lot of literature regarding the relationship between gender and money, but they are all lacking something. Second, in the bundle of existing literature, you can bring a fresh perspective. Both of these thoughts help you in formulating your research gap. A research gap is nothing but you justifying why you should continue with your research even when it has been discussed many times already. Quoting your research gap helps you make a place for yourself in the academic world.

[ Explanation through an example: Now we know that our topic is: Our theme is “A study of “Gendered Money” in the Rural households of Delhi.”

Insider’s Info : If you are unable to find a research gap for your dissertation, the best hack to fall back on is to say that all the research done up to this point have been based on western notions and social facts, but you will conduct research which holds in your localized reality.

Research Question / Hypothesis

Some of the research questions you can state can be,

Insider’s Info: If you are confused about your research question, you can look at the questions taken up by the other authors you studied and modify them according to your point of view. But we seriously recommend that the best way to do your research is by coming up with your research question on your own. Believe in yourself!

Research Methodology / Research Design

This part of the research proposal is about how you will conduct and complete your research. To understand better what research methodology is, we should first clarify the difference between methodology and method. Research Method is the technique used by you to conduct your research. A method includes the sources of collecting your data such as case studies, interviews, surveys, etc. On the other hand, Methodology is how you plan to apply your method . Your methodology determines how you execute various methods during the course of your dissertation.

Your methodology should explain where you are conducting the research and how. So for this research, your field will be rural Delhi. Explain why you chose to study rural households and not urban ones. Then comes the how, some of the methods you might want to opt for can be Interviews, Questionnaires, and/or Focused Group Discussions. Do not forget to mention your sample size, i.e., the number of people you plan to talk to. ]

This will not even be a section, but just 2 lines in your proposal where you will state the amount of time you plan to complete your dissertation and how you will utilize that time. This portion can also be included in your “Research Methodology” section. We have stated this as a separate subheading so that you do not miss out on this small but mighty aspect.

Aim of the Research

The aim of the research is where you try to predict the result of your research. Your aim is what you wish to achieve at the end of this long process. This section also informs your supervisor how your research will be located in the ongoing larger argument corresponding to your selected topic/theme. Remember the research questions you set up for yourself earlier? This is the time when you envision answers to those questions.

Insider’s Info: The aim you write right now is just a prediction or the expected outcome. Therefore, even if the result of your research is different in the end it doesn’t matter.

Bibliography

Example: Tichenor, Veronica Jaris (1999). “Status and income as gendered resources: The case of marital power”. Journal of Marriage and Family . Pg 938-65 ]

Learn: Citation with Examples

https://www.yorksj.ac.uk/study/postgraduate/research/

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• What is a Research Proposal?
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• Structure and Writing Style
• Proposal writing

The goal of a research proposal is to present and justify the need to study a research problem and to present the practical ways in which the proposed study should be conducted. The design elements and procedures for conducting the research are governed by standards within the predominant discipline in which the problem resides, so guidelines for research proposals are more exacting and less formal than a general project proposal. Research proposals contain extensive literature reviews. They must provide persuasive evidence that a need exists for the proposed study. In addition to providing a rationale, a proposal describes detailed methodology for conducting the research consistent with requirements of the professional or academic field and a statement on anticipated outcomes and/or benefits derived from the study's completion.

Krathwohl, David R. How to Prepare a Dissertation Proposal: Suggestions for Students in Education and the Social and Behavioral Sciences. Syracuse, NY: Syracuse University Press, 2005.

"Document that is typically written by a scientist or academic which describes the ideas for an investigation on a certain topic. The research proposal outlines the process from beginning to end and may be used to request financing for the project, certification for performing certain parts of research of the experiment, or as a required task before beginning a college dissertation."

Web Finance Inc. (c. 2019). What is research proposal? definition and meaning. Retrieved July 1, 2019, from http://www.businessdictionary.com/definition/research-proposal.html

Your professor may assign the task of writing a research proposal for the following reasons:

• Develop your skills in thinking about and designing a comprehensive research study;
• Learn how to conduct a comprehensive review of the literature to ensure a research problem has not already been answered [or you may determine the problem has been answered ineffectively] and, in so doing, become better at locating scholarship related to your topic;
• Improve your general research and writing skills;
• Practice identifying the logical steps that must be taken to accomplish one's research goals;
• Critically review, examine, and consider the use of different methods for gathering and analyzing data related to the research problem; and,
• Nurture a sense of inquisitiveness within yourself and to help see yourself as an active participant in  the process of  doing scholarly research.

A proposal should contain all the key elements involved in designing a completed research study, with sufficient information that allows readers to assess the validity and usefulness of your proposed study. The only elements missing from a research proposal are the findings of the study and your analysis of those results. Finally, an effective proposal is judged on the quality of your writing and, therefore, it is important that your writing is coherent, clear, and compelling.

Regardless of the research problem you are investigating and the methodology you choose, all research proposals must address the following questions:

• What do you plan to accomplish?  Be clear and succinct in defining the research problem and what it is you are proposing to research.
• Why do you want to do it?  In addition to detailing your research design, you also must conduct a thorough review of the literature and provide convincing evidence that it is a topic worthy of study. Be sure to answer the "So What?" question.
• How are you going to do it?  Be sure that what you propose is doable. If you're having trouble formulating a research problem to propose investigating,  go here .

Common Mistakes to Avoid

• Failure to be concise; being "all over the map" without a clear sense of purpose.
• Failure to cite landmark works in your literature review.
• Failure to delimit the contextual boundaries of your research [e.g., time, place, people, etc.].
• Failure to develop a coherent and persuasive argument for the proposed research.
• Failure to stay focused on the research problem; going off on unrelated tangents.
• Sloppy or imprecise writing, or poor grammar.
• Too much detail on minor issues, but not enough detail on major issues.

Procter, Margaret. The Academic Proposal.  The Lab Report. University College Writing Centre. University of Toronto; Sanford, Keith. Information for Students: Writing a Research Proposal. Baylor University; Wong, Paul T. P. How to Write a Research Proposal. International Network on Personal Meaning. Trinity Western University; Writing Academic Proposals: Conferences, Articles, and Books. The Writing Lab and The OWL. Purdue University; Writing a Research Proposal. University Library. University of Illinois at Urbana-Champaign.

Beginning the Proposal Process

As with writing a regular academic paper, research proposals are generally organized the same way throughout most social science disciplines. Proposals vary between ten and twenty-five pages in length. However, before you begin, read the assignment carefully and, if anything seems unclear, ask your professor whether there are any specific requirements for organizing and writing the proposal.

A good place to begin is to ask yourself a series of questions:

• What do I want to study?
• Why is the topic important?
• How is it significant within the subject areas covered in my class?
• What problems will it help solve?
• How does it build upon [and hopefully go beyond] research already conducted on the topic?
• What exactly should I plan to do, and can I get it done in the time available?

In general, a compelling research proposal should document your knowledge of the topic and demonstrate your enthusiasm for conducting the study. Approach it with the intention of leaving your readers feeling like--"Wow, that's an exciting idea and I can’t wait to see how it turns out!"

In general your proposal should include the following sections:

I.  Introduction

In the real world of higher education, a research proposal is most often written by scholars seeking grant funding for a research project or it's the first step in getting approval to write a doctoral dissertation. Even if this is just a course assignment, treat your introduction as the initial pitch of an idea or a thorough examination of the significance of a research problem. After reading the introduction, your readers should not only have an understanding of what you want to do, but they should also be able to gain a sense of your passion for the topic and be excited about the study's possible outcomes. Note that most proposals do not include an abstract [summary] before the introduction.

Think about your introduction as a narrative written in one to three paragraphs that succinctly answers the following four questions :

• What is the central research problem?
• What is the topic of study related to that problem?
• What methods should be used to analyze the research problem?
• Why is this important research, what is its significance, and why should someone reading the proposal care about the outcomes of the proposed study?

II.  Background and Significance

This section can be melded into your introduction or you can create a separate section to help with the organization and narrative flow of your proposal. This is where you explain the context of your proposal and describe in detail why it's important. Approach writing this section with the thought that you can’t assume your readers will know as much about the research problem as you do. Note that this section is not an essay going over everything you have learned about the topic; instead, you must choose what is relevant to help explain the goals for your study.

To that end, while there are no hard and fast rules, you should attempt to address some or all of the following key points:

• State the research problem and give a more detailed explanation about the purpose of the study than what you stated in the introduction. This is particularly important if the problem is complex or  multifaceted .
• Present the rationale of your proposed study and clearly indicate why it is worth doing. Answer the "So What? question [i.e., why should anyone care].
• Describe the major issues or problems to be addressed by your research. Be sure to note how your proposed study builds on previous assumptions about the research problem.
• Explain how you plan to go about conducting your research. Clearly identify the key sources you intend to use and explain how they will contribute to your analysis of the topic.
• Set the boundaries of your proposed research in order to provide a clear focus. Where appropriate, state not only what you will study, but what is excluded from the study.
• If necessary, provide definitions of key concepts or terms.

III.  Literature Review

Connected to the background and significance of your study is a section of your proposal devoted to a more deliberate review and synthesis of prior studies related to the research problem under investigation . The purpose here is to place your project within the larger whole of what is currently being explored, while demonstrating to your readers that your work is original and innovative. Think about  what questions other researchers have asked, what methods they have used, and what is your understanding of their findings and, where stated, their recommendations. Do not be afraid to challenge the conclusions of prior research. Assess what you believe is missing and state how previous research has failed to adequately examine the issue that your study addresses. For more information on writing literature reviews,  GO HERE .

Since a literature review is information dense, it is crucial that this section is intelligently structured to enable a reader to grasp the key arguments underpinning your study in relation to that of other researchers. A good strategy is to break the literature into "conceptual categories" [themes] rather than systematically describing groups of materials one at a time. Note that conceptual categories generally reveal themselves after you have read most of the pertinent literature on your topic so adding new categories is an on-going process of discovery as you read more studies. How do you know you've covered the key  conceptual categories  underlying the research literature? Generally, you can have confidence that  all of the significant conceptual categories  have been identified if you start to see repetition in the conclusions or recommendations that are being made.

To help frame your proposal's literature review, here are the "five C’s" of writing a literature review:

• Cite , so as to keep the primary focus on the literature pertinent to your research problem.
• Compare  the various arguments, theories, methodologies, and findings expressed in the literature: what do the authors agree on? Who applies similar approaches to analyzing the research problem?
• Contrast  the various arguments, themes, methodologies, approaches, and controversies expressed in the literature: what are the major areas of disagreement, controversy, or debate?
• Critique  the literature: Which arguments are more persuasive, and why? Which approaches, findings, methodologies seem most reliable, valid, or appropriate, and why? Pay attention to the verbs you use to describe what an author says/does [e.g., asserts, demonstrates, argues, etc.] .
• Connect  the literature to your own area of research and investigation: how does your own work draw upon, depart from, synthesize, or add a new perspective to what has been said in the literature?

IV.  Research Design and Methods

This section  must  be well-written and logically organized because you are not actually doing the research, yet, your reader must have confidence that it is worth pursuing . The reader will never have a study outcome from which to evaluate whether your methodological choices were the correct ones. Thus, the objective here is to convince the reader that your overall research design and methods of analysis will correctly address the problem and that the methods will provide the means to effectively interpret the potential results. Your design and methods should be unmistakably tied to the specific aims of your study.

Describe the overall research design by building upon and drawing examples from your review of the literature. Consider not only methods that other researchers have used but methods of data gathering that have not been used but perhaps could be. Be specific about the methodological approaches you plan to undertake to obtain information, the techniques you would use to analyze the data, and the tests of external validity to which you commit yourself [i.e., the trustworthiness by which you can generalize from your study to other people, places, events, and/or periods of time].

When describing the methods you will use, be sure to cover the following:

• Specify the research operations you will undertake and the way you will interpret the results of these operations in relation to the research problem. Don't just describe what you intend to achieve from applying the methods you choose, but state how you will spend your time while applying these methods [e.g., coding text from interviews to find statements about the need to change school curriculum;  running a regression to  determine if there is a relationship between  campaign advertising on social media sites and election outcomes in Europe ].
• Keep in mind that a methodology is not just a list of tasks; it is an argument as to why these tasks add up to the best way to investigate the research problem. This is an important point because the mere listing of tasks to be performed does not demonstrate that, collectively, they effectively address the research problem. Be sure you explain this.
• Anticipate and acknowledge any potential barriers and pitfalls in carrying out your research design and explain how you plan to address them. No method is perfect so you need to describe where you believe challenges may exist in obtaining data or accessing information. It's always better to acknowledge this than to have it brought up by your reader.

V.  Preliminary Suppositions and Implications

Just because you don't have to actually conduct the study and analyze the results, doesn't mean you can skip talking about the analytical process and potential implications . The purpose of this section is to argue how and in what ways you believe your research will refine, revise, or extend existing knowledge in the subject area under investigation. Depending on the aims and objectives of your study, describe how the anticipated results will impact future scholarly research, theory, practice, forms of interventions, or policymaking. Note that such discussions may have either substantive [a potential new policy], theoretical [a potential new understanding], or methodological [a potential new way of analyzing] significance.   When thinking about the potential implications of your study, ask the following questions:

• What might the results mean in regards to the theoretical framework that underpins the study?
• What suggestions for subsequent research could arise from the potential outcomes of the study?
• What will the results mean to practitioners in the natural settings of their workplace?
• Will the results influence programs, methods, and/or forms of intervention?
• How might the results contribute to the solution of social, economic, or other types of problems?
• Will the results influence policy decisions?
• In what way do individuals or groups benefit should your study be pursued?
• What will be improved or changed as a result of the proposed research?
• How will the results of the study be implemented, and what innovations will come about?

NOTE :  This section should not delve into idle speculation, opinion,  or be formulated on the basis of unclear evidence . The purpose is to reflect upon gaps or understudied areas of the current literature and describe how your proposed research contributes to a new understanding of the research problem should the study be implemented as designed.

VI.  Conclusion

The conclusion reiterates the importance or significance of your proposal and provides a brief summary of the entire study . This section should be only one or two paragraphs long, emphasizing why the research problem is worth investigating, why your research study is unique, and how it should advance existing knowledge.

Someone reading this section should come away with an understanding of:

• Why the study should be done,
• The specific purpose of the study and the research questions it attempts to answer,
• The decision to why the research design and methods used where chosen over other options,
• The potential implications emerging from your proposed study of the research problem, and
• A sense of how your study fits within the broader scholarship about the research problem.

VII.   Citations

As with any scholarly research paper, you must cite the sources you used in composing your proposal. In a standard research proposal, this section can take two forms, so consult with your professor about which one is preferred.

• References --  lists only the literature that you actually used or cited in your proposal.
• Bibliography --  lists everything you used or cited in your proposal, with additional citations to any key sources relevant to understanding the research problem.

In either case, this section should testify to the fact that you did enough preparatory work to make sure the project will complement and not duplicate the efforts of other researchers. Start a new page and use the heading "References" or "Bibliography" centered at the top of the page. Cited works should always use a standard format that follows the writing style advised by the discipline of your course [i.e., education=APA; history=Chicago, etc] or that is preferred by your professor. This section normally does not count towards the total page length of your research proposal.

Develop  a Research Proposal: Writing the Proposal . Office of Library Information Services. Baltimore County Public Schools;  Heath, M. Teresa Pereira and Caroline Tynan. “Crafting a Research Proposal.”  The Marketing Review  10 (Summer 2010): 147-168; Jones, Mark. “Writing a Research Proposal.” In  MasterClass in Geography Education: Transforming Teaching and Learning . Graham Butt, editor. (New York: Bloomsbury Academic, 2015), pp. 113-127; Juni, Muhamad Hanafiah. “Writing a Research Proposal.” International Journal of Public Health and Clinical Sciences  1 (September/October 2014): 229-240; Krathwohl, David R.  How to Prepare a Dissertation Proposal: Suggestions for Students in Education and the Social and Behavioral Sciences . Syracuse, NY: Syracuse University Press, 2005; Procter, Margaret.  The Academic Proposal . The Lab Report. University College Writing Centre. University of Toronto; Punch, Keith and Wayne McGowan. "Developing and Writing a Research Proposal." In  From Postgraduate to Social Scientist: A Guide to Key Skills . Nigel Gilbert, ed. (Thousand Oaks, CA: Sage, 2006), 59-81; Wong, Paul T. P.  How to Write a Research Proposal . International Network on Personal Meaning. Trinity Western University;  Writing Academic Proposals: Conferences, Articles, and Books . The Writing Lab and The OWL. Purdue University;  Writing a Research Proposal . University Library. University of Illinois at Urbana-Champaign.

Proposal Writing

The advice given in this section is geared towards the proposals you will be required to submit when applying for OUR programs and funding opportunities. Though much of this information will be useful when writing proposals or personal statements for non-OUR applications, we recommend you refer to the guidelines in the application you are working on and the advice provided by the  UConn Writing Center  to guide the development of your proposal. If you are applying for OUR Programs you should also review the criteria specific to the program to which you are applying to ensure your proposal is appropriately tailored.

Where to Begin

Start by brainstorming answers to the following questions:

• Why am I doing this project? What issues, problems, or questions will I explore and answer?
• What am I hoping to gain or learn from this experience? Why is this project important to me?
• What are my goals for the project and how will I accomplish those goals? What do I hope to realize as a result of my efforts?
• Is my topic too broad or too narrow? Is it feasible?

Use your answers, in conjunction with the guidelines below, to develop the first draft of your proposal. Once you have a draft, plan to seek feedback from trusted sources. You should also plan to attend a workshop at the Writing Center and review their  resources on writing personal statements .

Guidelines for a Successful Proposal

While there is no magic formula to follow for a successful proposal, following these general guidelines will help you develop a thorough, well-developed proposal.

Guideline 1: Review the prompts

The applications for OUR programs will ask you to answer specific questions relating to your project, including some combination of the following:

• the purpose of the work
• the steps you intend to take to complete the project
• why the work is meaningful to you
• how participating in this project will contribute to your educational and career goals

A good proposal clearly outlines the project or research question and convinces others of its merits. The proposal should demonstrate why the project is worthy of support, and why the topic is of interest to you, the applicant. Avoid simply writing a summary of what you’ve done (unless specifically asked to do so); rather, focus on your project or research, and what you’re hoping to accomplish.

Each application is a different, and you need to carefully read and understand all the questions being asked to assure your proposal addresses them. Stay focused on your topic and make sure to fully answer the questions that are asked. Neglecting to answer or not focusing on the questions at hand will hurt your proposal.

Guideline 2: Follow directions

Word and character limits, as well as format requirements, are given for a reason. Stay within the guidelines and parameters. Though you may think it won’t matter if you are 10 words over the limit, or your font size is .5 smaller than instructed, it does matter. Not following the guidelines indicates to the reviewers that you are either unable to follow directions or that you did not read the directions carefully. This is not the impression you want to make.

Guideline 3: Consider your audience

At UConn, the review committees are composed of faculty and professional staff from across the University. They are not experts in every field of study and may not be familiar with the topic of study or type of project you are proposing. Therefore, your aim should be to write your proposal for a well-educated audience that does not have the in-depth technical knowledge associated with your field.

Do not assume the reader will know what you’re talking about or what contribution your project may make to your field of study.  Give the reader enough background information to understand the importance of the research or project without overwhelming them with technical details.

Guideline 4: Be specific

You can have a well-developed idea or solid research question, but if you fail to clearly articulate how you plan to execute your idea or answer your research question, the feasibility of your proposal will be questioned. Be as specific as possible. If you intend to bring speakers to campus, indicate who you hope to bring and why you chose those individuals. If you propose to travel to archives to conduct research, describe why you chose those archives and what special collections you plan to access at the archives. If you intend to conduct focus groups, indicate why you chose to do focus groups and how you plan to recruit participants.

It’s not enough to only state what you intend to do, you need to indicate why and how. Explain the thought process behind the steps you will take to execute your project or answer your research question.

Guideline 5: Allow time for revisions and rewrites

Plan ahead; a well-written proposal doesn’t emerge overnight. Perfunctory proposals rarely excite anyone, and if your proposal comes across as a last-minute endeavor it may signal a lack of sincere investment in your project.

Starting early will also give you time to seek feedback, which is a necessary part of proposal writing. Ask for a critique from faculty mentors, advisors, and writing tutors to assure your intended message is clear and that your proposal addresses the key points. Take feedback into consideration, but make sure that you don’t lose your voice in the process. Your proposal needs to be genuine and sincere, accurately representing your interests, goals, and intentions, and not those of well-meaning reviewers.

Proofread your proposal. Spell check does not catch all errors. Read your proposal aloud; this will help you catch spelling, grammatical, and word use errors. Spelling errors, grammatical errors, and poor word choice are the quickest ways to undermine the effectiveness of your proposal.

Thank you to the University of Southern California Libraries  for a great resource!

Additional resources

• The Research Proposal - video
• Writing a research proposal video
• Example from Psychology Today
• Writing for psychology

This is a video produced at Massey University in New Zealand for GRADUATE STUDENTS. It is the model which your assignment is based. It is a useful introduction to proposals as one type of undergraduate paper. 

The opening discusses doing graduate work.  You can start the video at 2:40.

Yes, this is a long video (1 hour). However, the presenter makes good points. There is a link to the documents he uses in the presentation.

How to Write a Psychology Research Proposal : Writing a brief research proposal cultivates all kinds of intellectual skills.

A PDF of the document is available at the end of the article.

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Chapter 2. Sociological Research

Learning Objectives

2.1. Approaches to Sociological Research

• Distinguish between scientific and non-scientific ways of thinking.
• Explain how the scientific method is used in sociological research.
• Understand the difference between quantitative and qualitative approaches to the scientific method in sociology.
• Define what reliability and validity mean in a research study.
• Familiarize oneself with critical research strategies.

2.2. Research Methods

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

2.3. Ethical Concerns

• Understand why ethical standards exist.
• Demonstrate awareness of the Canadian Sociological Association’s Code of Ethics.
• Define value neutrality, and outline some of the issues of value neutrality in sociology.

Introduction to Sociological Research

In an unfortunate comment following the Boston Marathon bombing in April 2013, then Canadian Prime Minister Stephen Harper said “this is not a time to commit sociology.” He implied that the “utter condemnation of this kind of violence” precluded drawing on sociological research into the causes of political violence (Harper cited in Cohen, 2013). In the Prime Minister’s position, there is a split between taking a strong political and moral stance on violence, on one hand, and working towards a deeper, evidence-based understanding of the social causes of acts of violence on the other.

Behind the political and moral rhetoric of statements about terrorism are a number of densely solidified beliefs about the nature of a “terrorist” individual — “people who have agendas of violence that are deep and abiding, [who] are a threat to all the values that our society stands for” (Harper cited in Cohen, 2013). In this framework, the terrorist is a kind of person who is beyond reason and morality. Therefore, sociological analysis is not only futile in the former Prime Minister’s opinion but also, for the same reasons, contrary to the “utter determination through our laws and through our activities to do everything we can to prevent and counter [terrorist violence]” (Harper cited in Cohen, 2013).

In the research of Robert Pape (2005), a different picture of the terrorist emerges. In the case of the 462 suicide bombers Pape studied, not only were the suicide bombers relatively well-educated and affluent, but as other studies of suicide bombers in general confirm, they were not mentally imbalanced per se , not blindly motivated by religious zeal, and not unaffected by the moral ambivalence of their proposed acts. They were apparently well-integrated individuals — individuals who were not socioeconomically deprived or repressed in any absolute sense. They were ordinary individuals who became radicalized by being caught up in extraordinary circumstances. How would this understanding of the terrorist individual affect the drafting of public policy and public responses to terrorism?

Sociological research is especially important with respect to public policy debates. The political controversies that surround the question of how best to respond to terrorism and violent crime are difficult to resolve at the level of political rhetoric. Often, in the news and in public discourse, the issue is framed in moral terms and therefore, for example, the policy alternatives get narrowed to the option of being  either   “tough” or “soft” on crime. Tough and soft are moral categories that reflect a moral characterization of the issue. A question framed by these types of moral categories cannot be resolved using evidence-based procedures. Posing the debate in these terms narrows the range of options available and undermines the ability to raise questions about what responses to crime actually work.

In fact, policy debates over terrorism and crime seem especially susceptible to the various forms of specious, unscientific reasoning described later in this chapter. The familiar story of a shocking act of violence that spirals in the media into a moral panic and becomes the basis for the widespread belief that the criminal justice system as a whole is “soft” and has failed, illustrates several qualities of unscientific thinking: knowledge based on casual observation, knowledge based on overgeneralization, and knowledge based on selective evidence. The sociological approach to policy questions is essentially different because it focuses on examining the effectiveness of different social control strategies for addressing different types of violent behaviour and the different types of risk to public safety. Thus, from a sociological point of view, it is crucial to think systematically about who commits violent acts and why.

Although moral claims and opinions are of interest to sociologists, sociological researchers use empirical evidence (that is, evidence corroborated by direct experience and/or observation) combined with the scientific method to deliver sound sociological research. A truly scientific sociological study of the social causes that lead to terrorist or criminal violence would involve a sequence of prescribed steps: defining a specific research question that can be answered through empirical observation; gathering information and resources through detailed observation; forming a hypothesis; testing the hypothesis in a reproducible manner; analyzing and drawing conclusions from the data; publishing the results; and anticipating further development when future researchers respond to and re-examine the findings.

An appropriate starting point in this case might be the question, “What are the social conditions of individuals who are drawn to commit terrorist acts?” In a casual discussion of the issue, or in the back and forth of Twitter or news comment forums, people often make arguments based on their personal observations and insights, believing them to be accurate. But the results of casual observation are limited by the fact that there is no standardization or universal criteria (see discussion of CUDOS below). Who is to say if one person’s observation of an event is any more accurate than another’s? To mediate these concerns, sociologists rely on systematic research processes.

It is important to note that within sociology there are a variety of ways of approaching social scientific research. The appropriate starting point for the sociological study of terrorism will differ between positivist, interpretive, and critical approaches. For positivist sociology, the research question might be, “Are there social background variables that can predict which individuals will be drawn to commit terrorist acts?” An interpretive approach might ask, “What is the process and timeline or sequence of events of individuals that become violently radicalized? Through what processes do they come to reinterpret their world?” Critical sociologists might pose the question as, “What is the historical, sociopolitical context of violent radicalization?” These different questions entail the choice of different methodologies as discussed below, but all three require a systematic approach to finding the answers.

The unwillingness to “commit sociology” and think more deeply about the roots of political violence might lead to a certain moral or rhetorical image of an “uncompromising” response to the “terrorist threat,” but this response has not proven to be effective in practice, nor is it one that exhausts the options for preventing and countering acts of political violence. Contrary to the former Prime Minister’s statements, the aftermath of the Boston Marathon bombing is precisely a moment to commit sociology if the issues that produce acts of violence are to be addressed.

Media Attributions

• Figure 2.1 The World comes to my front door  by Caribb, via Flickr, is used under a  CC BY-NC-ND 2.0 licence.
• Figure 2.2   Spectators helping victims soon after the attack  by Aaron Tang, via Wikipedia, is used under a CC BY 2.0 licence. 

Introduction to Sociology – 3rd Canadian Edition Copyright © 2023 by William Little is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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School of Social Sciences

How to write a research proposal

You will need to submit a research proposal with your PhD application. This is crucial in the assessment of your application and it warrants plenty of time and energy.

Your proposal should outline your project and be around 1,500 words.

Your research proposal should include a working title for your project.

Overview of the research

In this section, you should provide a short overview of your research. You should also state how your research fits into the research priorities of your particular subject area.

Here you can refer to the research areas and priorities of a particular research grouping or supervisor.

You must also state precisely why you have chosen to apply to the discipline area and how your research links into our overall profile.

Positioning of the research

This should reference the most important texts related to the research, demonstrate your understanding of the research issues, and identify existing gaps (both theoretical and practical) that the research is intended to address.

Research design and methodology

This section should identify the information that is necessary to carry out the analysis and the possible research techniques that could deliver the information.

Ethical considerations

You should identify and address any potential ethical considerations in relation to your proposed research. Please discuss your research with your proposed supervisor to see how best to progress your ideas in line with University of Manchester ethics guidance, and ensure that your proposed supervisor is happy for you to proceed with your application.

Your research proposal will be used to assess the quality and originality of your ideas, whether you are able to think critically and whether you have a grasp of the relevant literature. It also gives us important information about the perspectives you intend to take on your research area, and how you fit into the department's research profile overall. This is helpful when assigning a supervisor.

If you are applying to study an Economics postgraduate research programme, our advice and requirements are slightly different:

• How to write an economics proposal

Supervisors

We encourage you to discuss your proposal informally with a potential supervisor before making a formal application to ensure it is of mutual interest.

Please note that we cannot guarantee that we will be able to allocate you to the supervisor you initially contact and that we may allocate you to another expert in the area.

• Find a supervisor

Flexibility

You will not be forced to follow the proposal exactly once you have started to study. It is normal for students to refine their original proposal, in light of detailed literature review, further consideration of research approaches and comments received from your supervisors (and other academic staff).

Pitfalls to avoid

We sometimes have to reject students who meet the academic requirements but have not produced a satisfactory research proposal, therefore:

• Make sure that your research idea, question or problem is very clearly stated and well-grounded in academic research.
• Make sure that your proposal is well focused and conforms exactly to the submission requirements described here.
• Poorly specified, jargon-filled or rambling proposals will not convince us that you have a clear idea of what you want to do.

The University uses electronic systems to detect plagiarism and other forms of academic malpractice and for assessment. All Humanities PhD programmes require the submission of a research proposal as part of the application process. The Doctoral Academy upholds the principle that where a candidate approaches the University with a project of study, this should be original. While it is understandable that research may arise out of previous studies, it is vital that your research proposal is not the subject of plagiarism.

Example proposals

• Philosophy - Example 1
• Philosophy - Example 2
• Politics - Example 1
• Politics - Example 2
• Social Anthropology - Example 1
• Social Anthropology - Example 2
• Social Statistics - Example 1
• Social Statistics - Example 2
• Sociology - Example 1
• Sociology - Example 2

Further help

The following books may help you to prepare your research proposal (as well as in doing your research degree).

• Bell, J. (1999):  Doing Your Research Project: A Guide for First-time Researchers in Education & Social Science , (Oxford University Press, Oxford).
• Baxter, L, Hughes, C. and Tight, M. (2001):  How to Research , (Open University Press, Milton Keynes).
• Cryer, P. (2000):  The Research Student's Guide to Success , (Open University, Milton Keynes).
• Delamont, S., Atkinson, P. and Parry, O. (1997):  Supervising the PhD , (Open University Press, Milton Keynes).
• Philips, E. and Pugh, D. (2005):  How to get a PhD: A Handbook for Students and their Supervisors , (Open University Press, Milton Keynes).

If you need help and advice about your application, contact the Postgraduate Admissions Team.

Admissions contacts

University guidelines

You may also find it useful to read the advice and guidance on the University website about writing a proposal for your research degree application.

Visit the University website

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Stages in the Sociological Research Process

Learning objectives.

• List the major stages of the sociological research process.
• Describe the different types of units of analysis in sociology.
• Explain the difference between an independent variable and a dependent variable.

Sociological research consists of several stages. The researcher must first choose a topic to investigate and then become familiar with prior research on the topic. Once appropriate data are gathered and analyzed, the researcher can then draw appropriate conclusions. This section discusses these various stages of the research process.

Choosing a Research Topic

The first step in the research process is choosing a topic. There are countless topics from which to choose, so how does a researcher go about choosing one? Many sociologists choose a topic based on a theoretical interest they may have. For example, Émile Durkheim’s interest in the importance of social integration motivated his monumental study of suicide that Chapter 1 “Sociology and the Sociological Perspective” discussed. Many sociologists since the 1970s have had a theoretical interest in gender, and this interest has motivated a huge volume of research on the difference that gender makes for behavior, attitudes, and life chances. The link between theory and research lies at the heart of the sociological research process, as it does for other social, natural, and physical sciences. Accordingly, this book discusses many examples of studies motivated by sociologists’ varied theoretical interests.

Francisco Osorio – CL Society 31: Sociologists – CC BY 2.0.

Many sociologists also choose a topic based on a social policy interest they may have. For example, sociologists concerned about poverty have investigated its effects on individuals’ health, educational attainment, and other outcomes during childhood, adolescence, and adulthood. Sociologists concerned about racial prejudice and discrimination have carried out many studies documenting their negative consequences for people of color. As Chapter 1 “Sociology and the Sociological Perspective” discussed and as this book emphasizes, the roots of sociology in the United States lie in the use of sociological knowledge to achieve social reform, and many sociologists today continue to engage in numerous research projects because of their social policy interests. The news story that began this chapter discussed an important example of this type of research. The “Sociology Making a Difference” box further discusses research of this type.

Sociology Making a Difference

Survey Research to Help the Poor

The Community Service Society (CSS) of New York City is a nonprofit organization that, according to its Web site ( http://www.cssny.org ), “engages in advocacy, research and direct service” to help low-income residents of the city. It was established about 160 years ago and has made many notable accomplishments over the years, including aiding the victims of the Titanic disaster in 1912, helping initiate the free school lunch program that is now found around the United States, and establishing the largest senior volunteer program in the nation.

A key component of the CSS’s efforts today involves gathering much information about the lives of poor New Yorkers through an annual survey of random samples of these residents. Because the needs of the poor are so often neglected and their voices so often unheard, the CSS calls this effort the Unheard Third survey, as the poor represent about one-third of the New York City population. The Unheard Third survey asks respondents their opinions about many issues affecting their lives and also asks them many questions about such matters as their health and health care needs, employment status and job satisfaction, debt, and housing. The CSS then uses all this information in reports about the needs of the poor and near-poor in New York that it prepares for city and state officials, the news media, and key individuals in the private sector. In these ways, the CSS uses survey research in the service of society. As its Web site ( http://www.cssny.org/research ) states, “research is a critical tool we use to increase our understanding of conditions that drive poverty as we advocate for public policy and programs that will improve the economic standing of low-income New Yorkers.”

A third source of inspiration for research topics is personal experience . Like other social scientists (and probably also natural and physical scientists), many sociologists have had various experiences during childhood, adolescence, or adulthood that lead them to study a topic from a sociological standpoint. For example, a sociologist whose parents divorced while the sociologist was in high school may become interested in studying the effects of divorce on children. A sociologist who was arrested during college for a political protest may become interested in studying how effective protest might be for achieving the aims of a social movement. A sociologist who acted in high school plays may choose a dissertation during graduate school that focuses on a topic involving social interaction. Although the exact number will never be known, many research studies in sociology are undoubtedly first conceived because personal experience led the author to become interested in the theory or social policy addressed by the study.

Conducting a Literature Review

Whatever topic is chosen, the next stage in the research process is a review of the literature. A researcher who begins a new project typically reads a good number of studies that have already been published on the topic that the researcher wants to investigate. In sociology, most of these studies are published in journals, but many are also published as books. The government and private research organizations also publish reports that researchers consult for their literature reviews.

Regardless of the type of published study, a literature review has several goals. First, the researcher needs to determine that the study she or he has in mind has not already been done. Second, the researcher needs to determine how the proposed study will add to what is known about the topic of the study. How will the study add to theoretical knowledge of the topic? How will the study improve on the methodology of earlier studies? How will the study aid social policy related to the topic? Typically, a research project must answer at least one of these questions satisfactorily for it to have a chance of publication in a scholarly journal, and a thorough literature review is necessary to determine the new study’s possible contribution. A third goal of a literature review is to see how prior studies were conducted. What research design did they use? From where did their data come? How did they measure key concepts and variables? A thorough literature review enhances the methodology of the researcher’s new study and enables the researcher to correct any possible deficiencies in the methodology of prior studies.

In “the old days,” researchers would conduct a literature review primarily by going to an academic library, consulting a printed index of academic journals, trudging through shelf after shelf of printed journals, and photocopying articles they found or taking notes on index cards. Those days are long gone, and thankfully so. Now researchers use any number of electronic indexes and read journal articles online or download a PDF version to read later. Literature reviews are still a lot of work, but the time they take is immeasurably shorter than just a decade ago.

Formulating a Hypothesis

After the literature review has been completed, it is time to formulate the hypothesis that will guide the study. In sociology, the hypothesis will often predict how one form of human behavior influences another. A hypothesis is an assumption about how two or more variables are related; it makes a conjectural statement about the relationship between those variables. As we discuss further in a moment, the most common unit of analysis in sociology is a person, but other units of analysis include organizations and geographical locations. A variable is any feature or factor that may differ among the units of analysis that a researcher is studying. Key variables in sociological studies of people as the units of analysis include gender, race and ethnicity, social class, age, and any number of attitudes and behaviors. Whatever unit of analysis is being studied, sociological research aims to test relationships between variables or, more precisely, to test whether one variable affects another variable, and a hypothesis outlines the nature of the relationship that is to be tested.

Suppose we want to test the hypothesis that women were more likely than men to have voted for Obama in 2008. The first variable in this hypothesis is gender, whether someone is a woman or a man. (As Chapter 11 “Gender and Gender Inequality” discusses, gender is actually more complex than this, but let’s keep things simple for now.) The second variable is voting preference—for example, whether someone voted for Obama or McCain. In this example, gender is the independent variable and voting preference is the dependent variable. An independent variable is a variable we think can affect another variable. This other variable is the dependent variable , or the variable we think is affected by the independent variable (see Figure 2.3 “Causal Path for the Independent and Dependent Variable” ). When sociological research tests relationships between variables, it normally is testing whether an independent variable affects a dependent variable.

Figure 2.3 Causal Path for the Independent and Dependent Variable

Many hypotheses in sociology involve variables concerning people, but many also involve variables concerning organizations and geographical locations. As this statement is meant to suggest, sociological research is conducted at different levels, depending on the unit of analysis chosen. As noted earlier, the most common unit of analysis in sociology is the person ; this is probably the type of research with which you are most familiar. If we conduct a national poll to see how gender influences voting decisions or how race influences views on the state of the economy, we are studying characteristics, or variables, involving people, and the person is the unit of analysis. Another common unit of analysis in sociology is the organization . Suppose we conduct a study of hospitals to see whether the patient-to-nurse ratio (the number of patients divided by the number of nurses) is related to the average number of days that patients stay in the hospital. In this example, the patient-to-nurse ratio and the average number of days patients stay are both characteristics of the hospital, and the hospital is the unit of analysis. A third unit of analysis in sociology is the geographical location , whether it is cities, states, regions of a country, or whole societies. In the United States, for example, large cities generally have higher violent crime rates than small cities. In this example, the city is the unit of analysis.

One of the units of analysis in sociological research is the geographical location. The major regions of the United States are often compared on various characteristics. In one notable finding, the South has the highest regional homicide rate.

Source: Adapted from http://commons.wikimedia.org/wiki/File:Blank_US_Map.svg .

Measuring Variables and Gathering Data

After the hypothesis has been formulated, the sociologist is now ready to begin the actual research. Data must be gathered via one or more of the research designs examined later in this chapter, and variables must be measured. Data can either be quantitative (numerical) or qualitative (nonnumerical). Data gathered through a questionnaire are usually quantitative. The answers a respondent gives to a questionnaire are coded for computer analysis. For example, if a question asks whether respondents consider themselves to be politically conservative, moderate, or liberal, those who answer “conservative” might receive a “1” for computer analysis; those who choose “moderate” might receive a “2”; and those who say “liberal” might receive a “3.”

Data gathered through observation and/or intensive interviewing, research designs discussed later in this chapter, are usually qualitative. If a researcher interviews college students at length to see what they think about dating violence and how seriously they regard it, the researcher may make simple comparisons, such as “most” of the interviewed students take dating violence very seriously, but without really statistically analyzing the in-depth responses from such a study. Instead, the goal is to make sense of what the researcher observes or of the in-depth statements that people provide to an interviewer and then to relate the major findings to the hypothesis or topic the researcher is investigating.

The measurement of variables is a complex topic and lies far beyond the scope of this discussion. Suffice it to say that accurate measurement of variables is essential in any research project. In a questionnaire, for example, a question should be worded clearly and unambiguously. Take the following question, which has appeared in national surveys: “Do you ever drink more than you think you should?” This question is probably meant to measure whether the respondent has an alcohol problem. But some respondents might answer yes to this question even if they only have a few drinks per year if, for example, they come from a religious background that frowns on alcohol use; conversely, some respondents who drink far too much might answer no because they do not think they drink too much. A researcher who interpreted a yes response from the former respondents as an indicator of an alcohol problem or a no response from the latter respondents as an indicator of no alcohol problem would be in error.

As another example, suppose a researcher hypothesizes that younger couples are happier than older couples. Instead of asking couples how happy they are through a questionnaire, the researcher decides to observe couples as they walk through a shopping mall. Some interesting questions of measurement arise in this study. First, how does the researcher know who is a couple? Second, how sure can the researcher be of the approximate age of each person in the couple? The researcher might be able to distinguish people in their 20s or early 30s from those in their 50s and 60s, but age measurement beyond this gross comparison might often be in error. Third, how sure can the researcher be of the couple’s degree of happiness? Is it really possible to determine how happy a couple is by watching them for a few moments in the mall? What exactly does being happy look like, and do all people look this way when they are happy? These and other measurement problems in this particular study might be so severe that the study should not be done, at least if the researcher hopes to publish it.

After any measurement issues have been resolved, it is time to gather the data. For the sake of simplicity, let’s assume the unit of analysis is the person. A researcher who is doing a study “from scratch” must decide which people to study. Because it is certainly impossible to study everybody, the researcher only studies a sample , or subset of the population of people in whom the researcher is interested. Depending on the purpose of the study, the population of interest varies widely: it can be the adult population of the United States, the adult population of a particular state or city, all young women aged 13–18 in the nation, or countless other variations.

Many researchers who do survey research (discussed in a later section) study people selected for a random sample of the population of interest. In a random sample, everyone in the population (whether it be the whole U.S. population or just the population of a state or city, all the college students in a state or city or all the students at just one college, and so forth) has the same chance of being included in the survey. The ways in which random samples are chosen are too complex to fully discuss here, but suffice it to say the methods used to determine who is in the sample are equivalent to flipping a coin or rolling some dice. The beauty of a random sample is that it allows us to generalize the results of the sample to the population from which the sample comes. This means that we can be fairly sure of the attitudes of the whole U.S. population by knowing the attitudes of just 400 people randomly chosen from that population.

Other researchers use nonrandom samples , in which members of the population do not have the same chance of being included in the study. If you ever filled out a questionnaire after being approached in a shopping mall or campus student center, it is very likely that you were part of a nonrandom sample. While the results of the study (marketing research or social science research) for which you were interviewed might have been interesting, they could not necessarily be generalized to all students or all people in a state or in the nation because the sample for the study was not random.

NWABR – 2009 Student Fellows – CC BY 2.0.

A specific type of nonrandom sample is the convenience sample , which refers to a nonrandom sample that is used because it is relatively quick and inexpensive to obtain. If you ever filled out a questionnaire during a high school or college class, as many students have done, you were very likely part of a convenience sample—a researcher can simply go into class, hand out a survey, and have the data available for coding and analysis within a few minutes. Convenience samples often include students, but they also include other kinds of people. When prisoners are studied, they constitute a convenience sample, because they are definitely not going anywhere. Partly because of this fact, convenience samples are also sometimes called captive-audience samples .

Another specific type of nonrandom sample is the quota sample . In this type of sample, a researcher tries to ensure that the makeup of the sample resembles one or more characteristics of the population as closely as possible. For example, on a campus of 10,000 students where 60% of the students are women and 40% are men, a researcher might decide to study 100 students by handing out a questionnaire to those who happen to be in the student center building on a particular day. If the researcher decides to have a quota sample based on gender, the researcher will select 60 women students and 40 male students to receive the questionnaire. This procedure might make the sample of 100 students more representative of all the students on campus than if it were not used, but it still does not make the sample entirely representative of all students. The students who happen to be in the student center on a particular day might be very different in many respects from most other students on the campus.

As we shall see later when research design is discussed, the choice of a design is very much related to the type of sample that is used. Surveys lend themselves to random samples, for example, while observation studies and experiments lend themselves to nonrandom samples.

Analyzing Data

After all data have been gathered, the next stage is to analyze the data. If the data are quantitative, the analysis will almost certainly use highly sophisticated statistical techniques beyond the scope of this discussion. Many statistical analysis software packages exist for this purpose, and sociologists learn to use one or more of these packages during graduate school. If the data are qualitative, researchers analyze their data (what they have observed and/or what people have told them in interviews) in ways again beyond our scope. Many researchers now use qualitative analysis software that helps them uncover important themes and patterns in the qualitative data they gather. However qualitative or quantitative data are analyzed, it is essential that the analysis be as accurate as possible. To go back to a point just made, this means that variable measurement must also be as accurate as possible, because even expert analysis of inaccurate data will yield inaccurate results. As a phrase from the field of computer science summarizes this problem, “garbage in, garbage out.” Data analysis can be accurate only if the data are accurate to begin with.

Criteria of Causality

As researchers analyze their data, they naturally try to determine whether their analysis supports their hypothesis. As noted above, when we test a hypothesis, we want to be able to conclude that an independent variable affects a dependent variable. Four criteria must be satisfied before we can conclude this (see Table 2.1 “Criteria of Causality” ).

Table 2.1 Criteria of Causality

First, the independent variable and the dependent variable must be statistically related . That means that the independent variable makes a statistical difference for where one ranks on the dependent variable. Suppose we hypothesize that age was related to voting preference in the 2008 presidential election. Here age is clearly the independent variable and voting preference the dependent variable. (It is possible for age to affect voting preference, but it is not possible for voting preference to affect age.) Exit poll data indicate that 66% of 18- to 24-year-olds voted for Obama in 2008, while only 45% of those 65 and older voted for him. The two variables are thus statistically related, as younger voters were more likely than older voters to prefer Obama.

The second criterion is called the causal order (or chicken-and-egg) problem and reflects the familiar saying that “correlation does not mean causation.” Just because an independent and a dependent variable are related does not automatically mean that the independent variable affects the dependent variable. It might well be that the dependent variable is affecting the independent. To satisfy this criterion, the researcher must be sure that the independent variable precedes the dependent variable in time or in logic. In the example just discussed, age might affect voting preference, but voting preference definitely cannot affect age. However, causal order is not as clear in other hypotheses. For example, suppose we find a statistical relationship between marital happiness and job satisfaction: the more happy people are in their marriage, the more satisfied they are with their jobs. Which makes more sense, that having a happy marriage leads you to like your job more, or that being satisfied with your work leads you to have a happier marriage? In this example, causal order is not very clear, and thus the second criterion is difficult to satisfy.

The third criterion involves spurious relationships . A relationship between an independent variable and dependent variable is spurious if a third variable accounts for the relationship because it affects both the independent and dependent variables. Although this sounds a bit complicated, an example or two should make it clear. If you did a survey of Americans 18 and older, you would find that people who attend college have worse acne than people who do not attend college. Does this mean that attending college causes worse acne? Certainly not. You would find this statistical relationship only because a third variable, age, affects both the likelihood of attending college and the likelihood of having acne: young people are more likely than older people to attend college, and also more likely—for very different reasons—to have acne. Controlling for age makes it clear that the original relationship between attending college and having acne was spurious. Figure 2.5 “Diagram of a Spurious Relationship” diagrams this particular spurious relationship; notice that there is no causal arrow between the attending college and having acne variables.

Figure 2.5 Diagram of a Spurious Relationship

In another example, the more fire trucks at a fire, the more damage the fire causes. Does that mean that fire trucks somehow make fires worse, as the familiar saying “too many cooks spoil the broth” might suggest? Of course not! The third variable here is the intensity of the fire: the more intense the fire, the more fire trucks respond to fight it, and the more intense the fire, the more damage it causes. The relationship between number of fire trucks and damage the fire causes is spurious.

The final criterion of causality is that our explanation for the relationship between the independent and dependent variables is the best explanation . Even if the first three criteria are satisfied, that does not necessarily mean the two variables are in fact related. For example, the U.S. crime rate dropped in the early 1980s, and in 1984 the reelection campaign of President Ronald Reagan took credit for this drop. This relationship satisfied the first three criteria: the crime rate fell after President Reagan took office in 1981, the drop in the crime rate could not have affected the election of this president, and there was no apparent third variable that influenced both why Reagan was elected and why the crime rate fell. However, social scientists pointed to another reason that accounted for the crime rate decrease during the 1980s: a drop in the birth rate some 15–20 years earlier, which led to a decrease during the early 1980s of the number of U.S. residents in the high-crime ages of 15–30 (Steffensmeier & Harer, 1991). The relationship between the election of Ronald Reagan and the crime rate drop was thus only a coincidence.

Drawing a Conclusion

Once the data are analyzed, the researcher finally determines whether the data analysis supports the hypothesis that has been tested, taking into account the criteria of causality just discussed. Whether or not the hypothesis is supported, the researcher (if writing for publication) typically also discusses what the results of the present research imply for both prior and future studies on the topic. If the primary purpose of the project has been to test or refine a particular theory, the conclusion will discuss the implications of the results for this theory. If the primary purpose has been to test or advance social policy, the conclusion will discuss the implications of the results for policy making relevant to the project’s subject matter.

Key Takeaways

• Several stages compose the sociological research process. These stages include (a) choosing a research topic, (b) conducting a literature review, (c) measuring variables and gathering data, (d) analyzing data, and (e) drawing a conclusion.
• Sociologists commonly base their choice of a research topic on one or more of the following: (a) a theoretical interest, (b) a social policy interest, and (c) one or more personal experiences.
• Accurate measurement of variables is essential for sound sociological research. As a minimum, measures should be as clear and unambiguous as possible.

Steffensmeier, D., & Harer, M. D. (1991). Did crime rise or fall during the Reagan presidency? The effects of an “aging” U.S. population on the nation’s crime rate. Journal of Research in Crime and Delinquency, 28 (3), 330–359.

any feature or factor that may differ among the units of analysis that a researcher is studying.

the cause of change.

the effect of change.

Data gathered through a questionnaire are usually quantitative.

Data gathered through observation and/or intensive interviewing are usually qualitative.

subset of the population of people in whom the researcher is interested in studying.

everyone in the population has the same chance of being included in the survey.

members of the population do not have the same chance of being included in the study.

A relationship between an independent variable and dependent variable is spurious if a third variable accounts for the relationship because it affects both the independent and dependent variables.

Introduction to Sociology: Understanding and Changing the Social World Copyright © 2016 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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SOC101: Introduction to Sociology (2020.A.01)

Sociological research.

Read this chapter for a review of sociological research. As you read, consider the following topics:

• Take note of the bold terms throughout the chapter.
• Take some time to study Figure 1 and the accompanying text, which outline the scientific process of studying sociology.
• Take note of the differences in scientific approaches to studying sociology, including surveys, field research, participant observation, ethnographies, case studies, experiments, and secondary data analysis.
• Take note of the code of ethics and think about how these ethical standards are vital to conducting research about human subjects.

Approaches to Sociological Research

Learning objectives.

• Define and describe the scientific method
• Explain how the scientific method is used in sociological research
• Understand the function and importance of an interpretive framework
• Define what reliability and validity mean in a research study

When sociologists apply the sociological perspective and begin to ask questions, no topic is off limits. Every aspect of human behavior is a source of possible investigation. Sociologists question the world that humans have created and live in. They notice patterns of behavior as people move through that world. Using sociological methods and systematic research within the framework of the scientific method and a scholarly interpretive perspective, sociologists have discovered workplace patterns that have transformed industries, family patterns that have enlightened family members, and education patterns that have aided structural changes in classrooms. The crime during a full moon discussion put forth a few loosely stated opinions. If the human behaviors around those claims were tested systematically, a police officer, for example, could write a report and offer the findings to sociologists and the world in general. The new perspective could help people understand themselves and their neighbors and help people make better decisions about their lives. It might seem strange to use scientific practices to study social trends, but, as we shall see, it's extremely helpful to rely on systematic approaches that research methods provide. Sociologists often begin the research process by asking a question about how or why things happen in this world. It might be a unique question about a new trend or an old question about a common aspect of life. Once the sociologist forms the question, he or she proceeds through an in-depth process to answer it. In deciding how to design that process, the researcher may adopt a scientific approach or an interpretive framework. The following sections describe these approaches to knowledge.

The Scientific Method

Sociologists make use of tried and true methods of research, such as experiments, surveys, and field research. But humans and their social interactions are so diverse that these interactions can seem impossible to chart or explain. It might seem that science is about discoveries and chemical reactions or about proving ideas right or wrong rather than about exploring the nuances of human behavior. However, this is exactly why scientific models work for studying human behavior. A scientific process of research establishes parameters that help make sure results are objective and accurate. Scientific methods provide limitations and boundaries that focus a study and organize its results. The scientific method involves developing and testing theories about the world based on empirical evidence. It is defined by its commitment to systematic observation of the empirical world and strives to be objective, critical, skeptical, and logical. It involves a series of prescribed steps that have been established over centuries of scholarship.

Figure 2.2 The scientific method is an essential tool in research. But just because sociological studies use scientific methods does not make the results less human. Sociological topics are not reduced to right or wrong facts. In this field, results of studies tend to provide people with access to knowledge they did not have before - knowledge of other cultures, knowledge of rituals and beliefs, or knowledge of trends and attitudes. No matter what research approach they use, researchers want to maximize the study's reliability , which refers to how likely research results are to be replicated if the study is reproduced. Reliability increases the likelihood that what happens to one person will happen to all people in a group. Researchers also strive for validity , which refers to how well the study measures what it was designed to measure. Returning to the crime rate during a full moon topic, reliability of a study would reflect how well the resulting experience represents the average adult crime rate during a full moon. Validity would ensure that the study's design accurately examined what it was designed to study, so an exploration of adult criminal behaviors during a full moon should address that issue and not veer into other age groups' crimes, for example. In general, sociologists tackle questions about the role of social characteristics in outcomes. For example, how do different communities fare in terms of psychological well-being, community cohesiveness, range of vocation, wealth, crime rates, and so on? Are communities functioning smoothly? Sociologists look between the cracks to discover obstacles to meeting basic human needs. They might study environmental influences and patterns of behavior that lead to crime, substance abuse, divorce, poverty, unplanned pregnancies, or illness. And, because sociological studies are not all focused on negative behaviors or challenging situations, researchers might study vacation trends, healthy eating habits, neighborhood organizations, higher education patterns, games, parks, and exercise habits. Sociologists can use the scientific method not only to collect but also to interpret and analyze the data. They deliberately apply scientific logic and objectivity. They are interested in - but not attached to - the results. They work outside of their own political or social agendas. This doesn't mean researchers do not have their own personalities, complete with preferences and opinions. But sociologists deliberately use the scientific method to maintain as much objectivity, focus, and consistency as possible in a particular study. With its systematic approach, the scientific method has proven useful in shaping sociological studies. The scientific method provides a systematic, organized series of steps that help ensure objectivity and consistency in exploring a social problem. They provide the means for accuracy, reliability, and validity. In the end, the scientific method provides a shared basis for discussion and analysis. Typically, the scientific method starts with these steps - 1) ask a question, 2) research existing sources, 3) formulate a hypothesis - described below.

Ask a Question

The first step of the scientific method is to ask a question, describe a problem, and identify the specific area of interest. The topic should be narrow enough to study within a geography and time frame. "Are societies capable of sustained happiness?" would be too vague. The question should also be broad enough to have universal merit. "What do personal hygiene habits reveal about the values of students at XYZ High School?" would be too narrow. That said, happiness and hygiene are worthy topics to study. Sociologists do not rule out any topic, but would strive to frame these questions in better research terms. That is why sociologists are careful to define their terms. In a hygiene study, for instance, hygiene could be defined as "personal habits to maintain physical appearance (as opposed to health)," and a researcher might ask, "How do differing personal hygiene habits reflect the cultural value placed on appearance?" When forming these basic research questions, sociologists develop an operational definition , that is, they define the concept in terms of the physical or concrete steps it takes to objectively measure it. The operational definition identifies an observable condition of the concept. By operationalizing a variable of the concept, all researchers can collect data in a systematic or replicable manner. The operational definition must be valid, appropriate, and meaningful. And it must be reliable, meaning that results will be close to uniform when tested on more than one person. For example, "good drivers" might be defined in many ways: those who use their turn signals, those who don't speed, or those who courteously allow others to merge. But these driving behaviors could be interpreted differently by different researchers and could be difficult to measure. Alternatively, "a driver who has never received a traffic violation" is a specific description that will lead researchers to obtain the same information, so it is an effective operational definition.

Research Existing Sources

The next step researchers undertake is to conduct background research through a literature review , which is a review of any existing similar or related studies. A visit to the library and a thorough online search will uncover existing research about the topic of study. This step helps researchers gain a broad understanding of work previously conducted on the topic at hand and enables them to position their own research to build on prior knowledge. Researchers - including student researchers - are responsible for correctly citing existing sources they use in a study or that inform their work. While it is fine to borrow previously published material (as long as it enhances a unique viewpoint), it must be referenced properly and never plagiarized. To study hygiene and its value in a particular society, a researcher might sort through existing research and unearth studies about child-rearing, vanity, obsessive-compulsive behaviors, and cultural attitudes toward beauty. It's important to sift through this information and determine what is relevant. Using existing sources educates researchers and helps refine and improve studies' designs.

Formulate a Hypothesis

A hypothesis is an assumption about how two or more variables are related; it makes a conjectural statement about the relationship between those variables. In sociology, the hypothesis will often predict how one form of human behavior influences another. In research, independent variables are the cause of the change. The dependent variable is the effect, or thing that is changed. For example, in a basic study, the researcher would establish one form of human behavior as the independent variable and observe the influence it has on a dependent variable. How does gender (the independent variable) affect rate of income (the dependent variable)? How does one's religion (the independent variable) affect family size (the dependent variable)? How is social class (the dependent variable) affected by level of education (the independent variable)?

Interpretive Framework

How to write a research plan: Step-by-step guide

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Today’s businesses and institutions rely on data and analytics to inform their product and service decisions. These metrics influence how organizations stay competitive and inspire innovation. However, gathering data and insights requires carefully constructed research, and every research project needs a roadmap. This is where a research plan comes into play.

Read this step-by-step guide for writing a detailed research plan that can apply to any project, whether it’s scientific, educational, or business-related.

• What is a research plan?

A research plan is a documented overview of a project in its entirety, from end to end. It details the research efforts, participants, and methods needed, along with any anticipated results. It also outlines the project’s goals and mission, creating layers of steps to achieve those goals within a specified timeline.

Without a research plan, you and your team are flying blind, potentially wasting time and resources to pursue research without structured guidance.

The principal investigator, or PI, is responsible for facilitating the research oversight. They will create the research plan and inform team members and stakeholders of every detail relating to the project. The PI will also use the research plan to inform decision-making throughout the project.

• Why do you need a research plan?

Create a research plan before starting any official research to maximize every effort in pursuing and collecting the research data. Crucially, the plan will model the activities needed at each phase of the research project .

Like any roadmap, a research plan serves as a valuable tool providing direction for those involved in the project—both internally and externally. It will keep you and your immediate team organized and task-focused while also providing necessary definitions and timelines so you can execute your project initiatives with full understanding and transparency.

External stakeholders appreciate a working research plan because it’s a great communication tool, documenting progress and changing dynamics as they arise. Any participants of your planned research sessions will be informed about the purpose of your study, while the exercises will be based on the key messaging outlined in the official plan.

Here are some of the benefits of creating a research plan document for every project:

Project organization and structure

Well-informed participants

All stakeholders and teams align in support of the project

Clearly defined project definitions and purposes

Distractions are eliminated, prioritizing task focus

Timely management of individual task schedules and roles

Costly reworks are avoided

• What should a research plan include?

The different aspects of your research plan will depend on the nature of the project. However, most official research plan documents will include the core elements below. Each aims to define the problem statement , devising an official plan for seeking a solution.

Specific project goals and individual objectives

Ideal strategies or methods for reaching those goals

Required resources

Descriptions of the target audience, sample sizes , demographics, and scopes

Key performance indicators (KPIs)

Project background

Research and testing support

Preliminary studies and progress reporting mechanisms

Cost estimates and change order processes

Depending on the research project’s size and scope, your research plan could be brief—perhaps only a few pages of documented plans. Alternatively, it could be a fully comprehensive report. Either way, it’s an essential first step in dictating your project’s facilitation in the most efficient and effective way.

• How to write a research plan for your project

When you start writing your research plan, aim to be detailed about each step, requirement, and idea. The more time you spend curating your research plan, the more precise your research execution efforts will be.

Account for every potential scenario, and be sure to address each and every aspect of the research.

Consider following this flow to develop a great research plan for your project:

Define your project’s purpose

Start by defining your project’s purpose. Identify what your project aims to accomplish and what you are researching. Remember to use clear language.

Thinking about the project’s purpose will help you set realistic goals and inform how you divide tasks and assign responsibilities. These individual tasks will be your stepping stones to reach your overarching goal.

Additionally, you’ll want to identify the specific problem, the usability metrics needed, and the intended solutions.

Know the following three things about your project’s purpose before you outline anything else:

What you’re doing

Why you’re doing it

What you expect from it

Identify individual objectives

With your overarching project objectives in place, you can identify any individual goals or steps needed to reach those objectives. Break them down into phases or steps. You can work backward from the project goal and identify every process required to facilitate it.

Be mindful to identify each unique task so that you can assign responsibilities to various team members. At this point in your research plan development, you’ll also want to assign priority to those smaller, more manageable steps and phases that require more immediate or dedicated attention.

Select research methods

Once you have outlined your goals, objectives, steps, and tasks, it’s time to drill down on selecting research methods . You’ll want to leverage specific research strategies and processes. When you know what methods will help you reach your goals, you and your teams will have direction to perform and execute your assigned tasks.

Research methods might include any of the following:

User interviews : this is a qualitative research method where researchers engage with participants in one-on-one or group conversations. The aim is to gather insights into their experiences, preferences, and opinions to uncover patterns, trends, and data.

Field studies : this approach allows for a contextual understanding of behaviors, interactions, and processes in real-world settings. It involves the researcher immersing themselves in the field, conducting observations, interviews, or experiments to gather in-depth insights.

Card sorting : participants categorize information by sorting content cards into groups based on their perceived similarities. You might use this process to gain insights into participants’ mental models and preferences when navigating or organizing information on websites, apps, or other systems.

Focus groups : use organized discussions among select groups of participants to provide relevant views and experiences about a particular topic.

Diary studies : ask participants to record their experiences, thoughts, and activities in a diary over a specified period. This method provides a deeper understanding of user experiences, uncovers patterns, and identifies areas for improvement.

Five-second testing: participants are shown a design, such as a web page or interface, for just five seconds. They then answer questions about their initial impressions and recall, allowing you to evaluate the design’s effectiveness.

Surveys : get feedback from participant groups with structured surveys. You can use online forms, telephone interviews, or paper questionnaires to reveal trends, patterns, and correlations.

Tree testing : tree testing involves researching web assets through the lens of findability and navigability. Participants are given a textual representation of the site’s hierarchy (the “tree”) and asked to locate specific information or complete tasks by selecting paths.

Usability testing : ask participants to interact with a product, website, or application to evaluate its ease of use. This method enables you to uncover areas for improvement in digital key feature functionality by observing participants using the product.

Live website testing: research and collect analytics that outlines the design, usability, and performance efficiencies of a website in real time.

There are no limits to the number of research methods you could use within your project. Just make sure your research methods help you determine the following:

What do you plan to do with the research findings?

What decisions will this research inform? How can your stakeholders leverage the research data and results?

Recruit participants and allocate tasks

Next, identify the participants needed to complete the research and the resources required to complete the tasks. Different people will be proficient at different tasks, and having a task allocation plan will allow everything to run smoothly.

Prepare a thorough project summary

Every well-designed research plan will feature a project summary. This official summary will guide your research alongside its communications or messaging. You’ll use the summary while recruiting participants and during stakeholder meetings. It can also be useful when conducting field studies.

Ensure this summary includes all the elements of your research project . Separate the steps into an easily explainable piece of text that includes the following:

An introduction: the message you’ll deliver to participants about the interview, pre-planned questioning, and testing tasks.

Interview questions: prepare questions you intend to ask participants as part of your research study, guiding the sessions from start to finish.

An exit message: draft messaging your teams will use to conclude testing or survey sessions. These should include the next steps and express gratitude for the participant’s time.

Create a realistic timeline

While your project might already have a deadline or a results timeline in place, you’ll need to consider the time needed to execute it effectively.

Realistically outline the time needed to properly execute each supporting phase of research and implementation. And, as you evaluate the necessary schedules, be sure to include additional time for achieving each milestone in case any changes or unexpected delays arise.

For this part of your research plan, you might find it helpful to create visuals to ensure your research team and stakeholders fully understand the information.

Determine how to present your results

A research plan must also describe how you intend to present your results. Depending on the nature of your project and its goals, you might dedicate one team member (the PI) or assume responsibility for communicating the findings yourself.

In this part of the research plan, you’ll articulate how you’ll share the results. Detail any materials you’ll use, such as:

Presentations and slides

A project report booklet

A project findings pamphlet

Documents with key takeaways and statistics

Graphic visuals to support your findings

• Format your research plan

As you create your research plan, you can enjoy a little creative freedom. A plan can assume many forms, so format it how you see fit. Determine the best layout based on your specific project, intended communications, and the preferences of your teams and stakeholders.

Find format inspiration among the following layouts:

Written outlines

Narrative storytelling

Visual mapping

Graphic timelines

Remember, the research plan format you choose will be subject to change and adaptation as your research and findings unfold. However, your final format should ideally outline questions, problems, opportunities, and expectations.

• Research plan example

Imagine you’ve been tasked with finding out how to get more customers to order takeout from an online food delivery platform. The goal is to improve satisfaction and retain existing customers. You set out to discover why more people aren’t ordering and what it is they do want to order or experience. 

You identify the need for a research project that helps you understand what drives customer loyalty . But before you jump in and start calling past customers, you need to develop a research plan—the roadmap that provides focus, clarity, and realistic details to the project.

Here’s an example outline of a research plan you might put together:

Project title

Project members involved in the research plan

Purpose of the project (provide a summary of the research plan’s intent)

Objective 1 (provide a short description for each objective)

Objective 2

Objective 3

Proposed timeline

Audience (detail the group you want to research, such as customers or non-customers)

Budget (how much you think it might cost to do the research)

Risk factors/contingencies (any potential risk factors that may impact the project’s success)

Remember, your research plan doesn’t have to reinvent the wheel—it just needs to fit your project’s unique needs and aims.

Customizing a research plan template

Some companies offer research plan templates to help get you started. However, it may make more sense to develop your own customized plan template. Be sure to include the core elements of a great research plan with your template layout, including the following:

Introductions to participants and stakeholders

Background problems and needs statement

Significance, ethics, and purpose

Research methods, questions, and designs

Preliminary beliefs and expectations

Implications and intended outcomes

Realistic timelines for each phase

Conclusion and presentations

How many pages should a research plan be?

Generally, a research plan can vary in length between 500 to 1,500 words. This is roughly three pages of content. More substantial projects will be 2,000 to 3,500 words, taking up four to seven pages of planning documents.

What is the difference between a research plan and a research proposal?

A research plan is a roadmap to success for research teams. A research proposal, on the other hand, is a dissertation aimed at convincing or earning the support of others. Both are relevant in creating a guide to follow to complete a project goal.

What are the seven steps to developing a research plan?

While each research project is different, it’s best to follow these seven general steps to create your research plan:

Defining the problem

Identifying goals

Choosing research methods

Recruiting participants

Preparing the brief or summary

Establishing task timelines

Defining how you will present the findings

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Chapter 2: Sociological Research

Why it matters: sociological research, why study sociological research.

Everything–and I mean everything–would be lost if the cops saw me. I was sitting at a table by myself in the back of a heavy metal bar I had visited off and on for the past year and a half. About a third of the faces in the crowd were now familiar to me, and I nodded affirmatively to acknowledge the presence of acquaintances. The place was packed, dark, and sweaty. Long-haired leather-clad men and women broke sweat moving feverishly to the deafening wall of sound produced by the live band on stage. However, my sense of calm and comfort suddenly turned to mortification when I noticed the faces of two uniformed police officers in the dim light of the long bar off to my left. They had just arrived to case the joint, and I had a lot at stake in staying out of sight. For the next forty minutes I hid under tables, crouched on the dance floor, and in bathroom stalls as the officers methodically scoped out every inch of that club. More than once, those I knew figured out something was up and assisted me by standing in between myself and the panoptical gaze of the officers. When they finally left, others smiled at me knowingly as I breathed a sigh of relief. Not only had I dodged the officers, but my actions had increased my street-cred among the regulars. I was in the club that night because, as a sociologist, I was conducting a long-term participant observation study of the heavy metal scene. Of all the nights in all the bars in a city exceeding one million people, my then-brother-in-law and his partner, both beat cops, decided to unknowingly case the very place in which I was making some observations. I had already been approached at least a half dozen times that evening by regulars asking if I wanted to buy drugs of various sorts. I rejected their offers, but I knew that exchanging pleasantries with an officer of the law would have immediately pegged me as a narc (undercover narcotics officer). Not only would have this destroyed my credibility in that particular bar but the entire city scene, which would have prematurely ended my research project. I was indeed fortunate to have avoided contact with the police.

Welcome to the exciting (and sometimes dangerous!) world of sociological research. Sociologists study society and human behavior, and in order to do so, they sometimes go to extreme measures to do research that will provide insightful and valuable results. They go beyond common sense understandings in trying to explain or understand social phenomena. Sociologists do not see the world as we normally do, instead they question and analyze why things happen and ask if there is a way to stop a problem before it emerges.

The field notes from the sociologist above illustrate just one way sociologists study social groups and human behavior. Participant observation is one methodology, but we will learn about several other ways in which sociologists conduct research — and not all of them include going to heavy metal bars! For example, a sociologist could learn more about heavy metal song lyrics through content analysis (a different methodology), or learn more about a particular group, like heavy metal fans, through surveys or interviews.

In this section, we will learn about sociological research and research methods.

• Why It Matters: Sociological Research. Authored by : Sarah Hoiland for Lumen Learning. Provided by : Lumen Learning. License : CC BY: Attribution
• Introduction to Sociology. Provided by : Wikipedia. Located at : https://en.wikibooks.org/wiki/Introduction_to_Sociology/Introduction . License : CC BY-SA: Attribution-ShareAlike

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Developing a Research Question

18 Hypotheses

When researchers do not have predictions about what they will find, they conduct research to answer a question or questions, with an open-minded desire to know about a topic, or to help develop hypotheses for later testing. In other situations, the purpose of research is to test a specific hypothesis or hypotheses.  A hypothesis is a statement, sometimes but not always causal, describing a researcher’s expectations regarding anticipated finding. Often hypotheses are written to describe the expected relationship between two variables (though this is not a requirement). To develop a hypothesis, one needs to understand the differences between independent and dependent variables and between units of observation and units of analysis. Hypotheses are typically drawn from theories and usually describe how an independent variable is expected to affect some dependent variable or variables. Researchers following a deductive approach to their research will hypothesize about what they expect to find based on the theory or theories that frame their study. If the theory accurately reflects the phenomenon it is designed to explain, then the researcher’s hypotheses about what would be observed in the real world should bear out.

Sometimes researchers will hypothesize that a relationship will take a specific direction. As a result, an increase or decrease in one area might be said to cause an increase or decrease in another. For example, you might choose to study the relationship between age and legalization of marijuana. Perhaps you have done some reading in your spare time, or in another course you have taken.  Based on the theories you have read, you hypothesize that “age is negatively related to support for marijuana legalization.” What have you just hypothesized? You have hypothesized that as people get older, the likelihood of their support for marijuana legalization decreases. Thus, as age moves in one direction (up), support for marijuana legalization moves in another direction (down). If writing hypotheses feels tricky, it is sometimes helpful to draw them out. and depict each of the two hypotheses we have just discussed.

Note that you will almost never hear researchers say that they have proven their hypotheses. A statement that bold implies that a relationship has been shown to exist with absolute certainty and that there is no chance that there are conditions under which the hypothesis would not bear out. Instead, researchers tend to say that their hypotheses have been supported (or not) . This more cautious way of discussing findings allows for the possibility that new evidence or new ways of examining a relationship will be discovered. Researchers may also discuss a null hypothesis, one that predicts no relationship between the variables being studied. If a researcher rejects the null hypothesis, he or she is saying that the variables in question are somehow related to one another.

Quantitative and qualitative researchers tend to take different approaches when it comes to hypotheses. In quantitative research, the goal often is to empirically test hypotheses generated from theory. With a qualitative approach, on the other hand, a researcher may begin with some vague expectations about what he or she will find, but the aim is not to test one’s expectations against some empirical observations. Instead, theory development or construction is the goal. Qualitative researchers may develop theories from which hypotheses can be drawn and quantitative researchers may then test those hypotheses. Both types of research are crucial to understanding our social world, and both play an important role in the matter of hypothesis development and testing.  In the following section, we will look at qualitative and quantitative approaches to research, as well as mixed methods.

Text Attributions

• This chapter has been adapted from Chapter 5.2 in Principles of Sociological Inquiry , which was adapted by the Saylor Academy without attribution to the original authors or publisher, as requested by the licensor. © Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License .

An Introduction to Research Methods in Sociology Copyright © 2019 by Valerie A. Sheppard is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Sociology 101

Sociology 101 ¶.

This website provides all the course materials for the University of North Carolina at Chapel Hill’s Sociological Perspectives (SOCI101.001) taught by Professor Neal Caren.

For Spring 2021, the course is entirely online. This website is an interactive guide to the course, including the syllabus, lesson plans for each week and assignments.

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2.2 Stages in the Sociological Research Process

Learning objectives.

• List the major stages of the sociological research process.
• Describe the different types of units of analysis in sociology.
• Explain the difference between an independent variable and a dependent variable.

Sociological research consists of several stages. The researcher must first choose a topic to investigate and then become familiar with prior research on the topic. Once appropriate data are gathered and analyzed, the researcher can then draw appropriate conclusions. This section discusses these various stages of the research process.

Choosing a Research Topic

The first step in the research process is choosing a topic. There are countless topics from which to choose, so how does a researcher go about choosing one? Many sociologists choose a topic based on a theoretical interest they may have. For example, Émile Durkheim’s interest in the importance of social integration motivated his monumental study of suicide that Chapter 1 “Sociology and the Sociological Perspective” discussed. Many sociologists since the 1970s have had a theoretical interest in gender, and this interest has motivated a huge volume of research on the difference that gender makes for behavior, attitudes, and life chances. The link between theory and research lies at the heart of the sociological research process, as it does for other social, natural, and physical sciences. Accordingly, this book discusses many examples of studies motivated by sociologists’ varied theoretical interests.

Many sociologists, such as the two pictured here, have a theoretical interest in gender that leads them to investigate the importance of gender for many aspects of the social world.

Francisco Osorio – CL Society 31: Sociologists – CC BY 2.0.

Many sociologists also choose a topic based on a social policy interest they may have. For example, sociologists concerned about poverty have investigated its effects on individuals’ health, educational attainment, and other outcomes during childhood, adolescence, and adulthood. Sociologists concerned about racial prejudice and discrimination have carried out many studies documenting their negative consequences for people of color. As Chapter 1 “Sociology and the Sociological Perspective” discussed and as this book emphasizes, the roots of sociology in the United States lie in the use of sociological knowledge to achieve social reform, and many sociologists today continue to engage in numerous research projects because of their social policy interests. The news story that began this chapter discussed an important example of this type of research. The “Sociology Making a Difference” box further discusses research of this type.

Sociology Making a Difference

Survey Research to Help the Poor

The Community Service Society (CSS) of New York City is a nonprofit organization that, according to its Web site ( http://www.cssny.org ), “engages in advocacy, research and direct service” to help low-income residents of the city. It was established about 160 years ago and has made many notable accomplishments over the years, including aiding the victims of the Titanic disaster in 1912, helping initiate the free school lunch program that is now found around the United States, and establishing the largest senior volunteer program in the nation.

A key component of the CSS’s efforts today involves gathering much information about the lives of poor New Yorkers through an annual survey of random samples of these residents. Because the needs of the poor are so often neglected and their voices so often unheard, the CSS calls this effort the Unheard Third survey, as the poor represent about one-third of the New York City population. The Unheard Third survey asks respondents their opinions about many issues affecting their lives and also asks them many questions about such matters as their health and health care needs, employment status and job satisfaction, debt, and housing. The CSS then uses all this information in reports about the needs of the poor and near-poor in New York that it prepares for city and state officials, the news media, and key individuals in the private sector. In these ways, the CSS uses survey research in the service of society. As its Web site ( http://www.cssny.org/research ) states, “research is a critical tool we use to increase our understanding of conditions that drive poverty as we advocate for public policy and programs that will improve the economic standing of low-income New Yorkers.”

A third source of inspiration for research topics is personal experience . Like other social scientists (and probably also natural and physical scientists), many sociologists have had various experiences during childhood, adolescence, or adulthood that lead them to study a topic from a sociological standpoint. For example, a sociologist whose parents divorced while the sociologist was in high school may become interested in studying the effects of divorce on children. A sociologist who was arrested during college for a political protest may become interested in studying how effective protest might be for achieving the aims of a social movement. A sociologist who acted in high school plays may choose a dissertation during graduate school that focuses on a topic involving social interaction. Although the exact number will never be known, many research studies in sociology are undoubtedly first conceived because personal experience led the author to become interested in the theory or social policy addressed by the study.

Conducting a Literature Review

Whatever topic is chosen, the next stage in the research process is a review of the literature. A researcher who begins a new project typically reads a good number of studies that have already been published on the topic that the researcher wants to investigate. In sociology, most of these studies are published in journals, but many are also published as books. The government and private research organizations also publish reports that researchers consult for their literature reviews.

Regardless of the type of published study, a literature review has several goals. First, the researcher needs to determine that the study she or he has in mind has not already been done. Second, the researcher needs to determine how the proposed study will add to what is known about the topic of the study. How will the study add to theoretical knowledge of the topic? How will the study improve on the methodology of earlier studies? How will the study aid social policy related to the topic? Typically, a research project must answer at least one of these questions satisfactorily for it to have a chance of publication in a scholarly journal, and a thorough literature review is necessary to determine the new study’s possible contribution. A third goal of a literature review is to see how prior studies were conducted. What research design did they use? From where did their data come? How did they measure key concepts and variables? A thorough literature review enhances the methodology of the researcher’s new study and enables the researcher to correct any possible deficiencies in the methodology of prior studies.

In “the old days,” researchers would conduct a literature review primarily by going to an academic library, consulting a printed index of academic journals, trudging through shelf after shelf of printed journals, and photocopying articles they found or taking notes on index cards. Those days are long gone, and thankfully so. Now researchers use any number of electronic indexes and read journal articles online or download a PDF version to read later. Literature reviews are still a lot of work, but the time they take is immeasurably shorter than just a decade ago.

Formulating a Hypothesis

After the literature review has been completed, it is time to formulate the hypothesis that will guide the study. As you might remember from a science class, a hypothesis is a statement of the relationship between two variables concerning the units of analysis the researcher is studying. To understand this definition, we must next define variable and unit of analysis . Let’s start with unit of analysis , which refers to the type of entity a researcher is studying. As we discuss further in a moment, the most common unit of analysis in sociology is a person, but other units of analysis include organizations and geographical locations. A variable is any feature or factor that may differ among the units of analysis that a researcher is studying. Key variables in sociological studies of people as the units of analysis include gender, race and ethnicity, social class, age, and any number of attitudes and behaviors. Whatever unit of analysis is being studied, sociological research aims to test relationships between variables or, more precisely, to test whether one variable affects another variable, and a hypothesis outlines the nature of the relationship that is to be tested.

Suppose we want to test the hypothesis that women were more likely than men to have voted for Obama in 2008. The first variable in this hypothesis is gender, whether someone is a woman or a man. (As Chapter 11 “Gender and Gender Inequality” discusses, gender is actually more complex than this, but let’s keep things simple for now.) The second variable is voting preference—for example, whether someone voted for Obama or McCain. In this example, gender is the independent variable and voting preference is the dependent variable. An independent variable is a variable we think can affect another variable. This other variable is the dependent variable , or the variable we think is affected by the independent variable (see Figure 2.3 “Causal Path for the Independent and Dependent Variable” ). When sociological research tests relationships between variables, it normally is testing whether an independent variable affects a dependent variable.

Figure 2.3 Causal Path for the Independent and Dependent Variable

Many hypotheses in sociology involve variables concerning people, but many also involve variables concerning organizations and geographical locations. As this statement is meant to suggest, sociological research is conducted at different levels, depending on the unit of analysis chosen. As noted earlier, the most common unit of analysis in sociology is the person ; this is probably the type of research with which you are most familiar. If we conduct a national poll to see how gender influences voting decisions or how race influences views on the state of the economy, we are studying characteristics, or variables, involving people, and the person is the unit of analysis. Another common unit of analysis in sociology is the organization . Suppose we conduct a study of hospitals to see whether the patient-to-nurse ratio (the number of patients divided by the number of nurses) is related to the average number of days that patients stay in the hospital. In this example, the patient-to-nurse ratio and the average number of days patients stay are both characteristics of the hospital, and the hospital is the unit of analysis. A third unit of analysis in sociology is the geographical location , whether it is cities, states, regions of a country, or whole societies. In the United States, for example, large cities generally have higher violent crime rates than small cities. In this example, the city is the unit of analysis.

One of the units of analysis in sociological research is the geographical location. The major regions of the United States are often compared on various characteristics. In one notable finding, the South has the highest regional homicide rate.

Source: Adapted from http://commons.wikimedia.org/wiki/File:Blank_US_Map.svg .

Measuring Variables and Gathering Data

After the hypothesis has been formulated, the sociologist is now ready to begin the actual research. Data must be gathered via one or more of the research designs examined later in this chapter, and variables must be measured. Data can either be quantitative (numerical) or qualitative (nonnumerical). Data gathered through a questionnaire are usually quantitative. The answers a respondent gives to a questionnaire are coded for computer analysis. For example, if a question asks whether respondents consider themselves to be politically conservative, moderate, or liberal, those who answer “conservative” might receive a “1” for computer analysis; those who choose “moderate” might receive a “2”; and those who say “liberal” might receive a “3.”

Data gathered through observation and/or intensive interviewing, research designs discussed later in this chapter, are usually qualitative. If a researcher interviews college students at length to see what they think about dating violence and how seriously they regard it, the researcher may make simple comparisons, such as “most” of the interviewed students take dating violence very seriously, but without really statistically analyzing the in-depth responses from such a study. Instead, the goal is to make sense of what the researcher observes or of the in-depth statements that people provide to an interviewer and then to relate the major findings to the hypothesis or topic the researcher is investigating.

The measurement of variables is a complex topic and lies far beyond the scope of this discussion. Suffice it to say that accurate measurement of variables is essential in any research project. In a questionnaire, for example, a question should be worded clearly and unambiguously. Take the following question, which has appeared in national surveys: “Do you ever drink more than you think you should?” This question is probably meant to measure whether the respondent has an alcohol problem. But some respondents might answer yes to this question even if they only have a few drinks per year if, for example, they come from a religious background that frowns on alcohol use; conversely, some respondents who drink far too much might answer no because they do not think they drink too much. A researcher who interpreted a yes response from the former respondents as an indicator of an alcohol problem or a no response from the latter respondents as an indicator of no alcohol problem would be in error.

As another example, suppose a researcher hypothesizes that younger couples are happier than older couples. Instead of asking couples how happy they are through a questionnaire, the researcher decides to observe couples as they walk through a shopping mall. Some interesting questions of measurement arise in this study. First, how does the researcher know who is a couple? Second, how sure can the researcher be of the approximate age of each person in the couple? The researcher might be able to distinguish people in their 20s or early 30s from those in their 50s and 60s, but age measurement beyond this gross comparison might often be in error. Third, how sure can the researcher be of the couple’s degree of happiness? Is it really possible to determine how happy a couple is by watching them for a few moments in the mall? What exactly does being happy look like, and do all people look this way when they are happy? These and other measurement problems in this particular study might be so severe that the study should not be done, at least if the researcher hopes to publish it.

After any measurement issues have been resolved, it is time to gather the data. For the sake of simplicity, let’s assume the unit of analysis is the person. A researcher who is doing a study “from scratch” must decide which people to study. Because it is certainly impossible to study everybody, the researcher only studies a sample , or subset of the population of people in whom the researcher is interested. Depending on the purpose of the study, the population of interest varies widely: it can be the adult population of the United States, the adult population of a particular state or city, all young women aged 13–18 in the nation, or countless other variations.

Many researchers who do survey research (discussed in a later section) study people selected for a random sample of the population of interest. In a random sample, everyone in the population (whether it be the whole U.S. population or just the population of a state or city, all the college students in a state or city or all the students at just one college, and so forth) has the same chance of being included in the survey. The ways in which random samples are chosen are too complex to fully discuss here, but suffice it to say the methods used to determine who is in the sample are equivalent to flipping a coin or rolling some dice. The beauty of a random sample is that it allows us to generalize the results of the sample to the population from which the sample comes. This means that we can be fairly sure of the attitudes of the whole U.S. population by knowing the attitudes of just 400 people randomly chosen from that population.

Other researchers use nonrandom samples, in which members of the population do not have the same chance of being included in the study. If you ever filled out a questionnaire after being approached in a shopping mall or campus student center, it is very likely that you were part of a nonrandom sample. While the results of the study (marketing research or social science research) for which you were interviewed might have been interesting, they could not necessarily be generalized to all students or all people in a state or in the nation because the sample for the study was not random.

High school classes often are used as a convenience sample in sociological and other social science research.

NWABR – 2009 Student Fellows – CC BY 2.0.

A specific type of nonrandom sample is the convenience sample , which refers to a nonrandom sample that is used because it is relatively quick and inexpensive to obtain. If you ever filled out a questionnaire during a high school or college class, as many students have done, you were very likely part of a convenience sample—a researcher can simply go into class, hand out a survey, and have the data available for coding and analysis within a few minutes. Convenience samples often include students, but they also include other kinds of people. When prisoners are studied, they constitute a convenience sample, because they are definitely not going anywhere. Partly because of this fact, convenience samples are also sometimes called captive-audience samples .

Another specific type of nonrandom sample is the quota sample . In this type of sample, a researcher tries to ensure that the makeup of the sample resembles one or more characteristics of the population as closely as possible. For example, on a campus of 10,000 students where 60% of the students are women and 40% are men, a researcher might decide to study 100 students by handing out a questionnaire to those who happen to be in the student center building on a particular day. If the researcher decides to have a quota sample based on gender, the researcher will select 60 women students and 40 male students to receive the questionnaire. This procedure might make the sample of 100 students more representative of all the students on campus than if it were not used, but it still does not make the sample entirely representative of all students. The students who happen to be in the student center on a particular day might be very different in many respects from most other students on the campus.

As we shall see later when research design is discussed, the choice of a design is very much related to the type of sample that is used. Surveys lend themselves to random samples, for example, while observation studies and experiments lend themselves to nonrandom samples.

Analyzing Data

After all data have been gathered, the next stage is to analyze the data. If the data are quantitative, the analysis will almost certainly use highly sophisticated statistical techniques beyond the scope of this discussion. Many statistical analysis software packages exist for this purpose, and sociologists learn to use one or more of these packages during graduate school. If the data are qualitative, researchers analyze their data (what they have observed and/or what people have told them in interviews) in ways again beyond our scope. Many researchers now use qualitative analysis software that helps them uncover important themes and patterns in the qualitative data they gather. However qualitative or quantitative data are analyzed, it is essential that the analysis be as accurate as possible. To go back to a point just made, this means that variable measurement must also be as accurate as possible, because even expert analysis of inaccurate data will yield inaccurate results. As a phrase from the field of computer science summarizes this problem, “garbage in, garbage out.” Data analysis can be accurate only if the data are accurate to begin with.

Criteria of Causality

As researchers analyze their data, they naturally try to determine whether their analysis supports their hypothesis. As noted above, when we test a hypothesis, we want to be able to conclude that an independent variable affects a dependent variable. Four criteria must be satisfied before we can conclude this (see Table 2.1 “Criteria of Causality” ).

Table 2.1 Criteria of Causality

First, the independent variable and the dependent variable must be statistically related . That means that the independent variable makes a statistical difference for where one ranks on the dependent variable. Suppose we hypothesize that age was related to voting preference in the 2008 presidential election. Here age is clearly the independent variable and voting preference the dependent variable. (It is possible for age to affect voting preference, but it is not possible for voting preference to affect age.) Exit poll data indicate that 66% of 18- to 24-year-olds voted for Obama in 2008, while only 45% of those 65 and older voted for him. The two variables are thus statistically related, as younger voters were more likely than older voters to prefer Obama.

The second criterion is called the causal order (or chicken-and-egg) problem and reflects the familiar saying that “correlation does not mean causation.” Just because an independent and a dependent variable are related does not automatically mean that the independent variable affects the dependent variable. It might well be that the dependent variable is affecting the independent. To satisfy this criterion, the researcher must be sure that the independent variable precedes the dependent variable in time or in logic. In the example just discussed, age might affect voting preference, but voting preference definitely cannot affect age. However, causal order is not as clear in other hypotheses. For example, suppose we find a statistical relationship between marital happiness and job satisfaction: the more happy people are in their marriage, the more satisfied they are with their jobs. Which makes more sense, that having a happy marriage leads you to like your job more, or that being satisfied with your work leads you to have a happier marriage? In this example, causal order is not very clear, and thus the second criterion is difficult to satisfy.

The third criterion involves spurious relationships . A relationship between an independent variable and dependent variable is spurious if a third variable accounts for the relationship because it affects both the independent and dependent variables. Although this sounds a bit complicated, an example or two should make it clear. If you did a survey of Americans 18 and older, you would find that people who attend college have worse acne than people who do not attend college. Does this mean that attending college causes worse acne? Certainly not. You would find this statistical relationship only because a third variable, age, affects both the likelihood of attending college and the likelihood of having acne: young people are more likely than older people to attend college, and also more likely—for very different reasons—to have acne. Controlling for age makes it clear that the original relationship between attending college and having acne was spurious. Figure 2.5 “Diagram of a Spurious Relationship” diagrams this particular spurious relationship; notice that there is no causal arrow between the attending college and having acne variables.

Figure 2.5 Diagram of a Spurious Relationship

In another example, the more fire trucks at a fire, the more damage the fire causes. Does that mean that fire trucks somehow make fires worse, as the familiar saying “too many cooks spoil the broth” might suggest? Of course not! The third variable here is the intensity of the fire: the more intense the fire, the more fire trucks respond to fight it, and the more intense the fire, the more damage it causes. The relationship between number of fire trucks and damage the fire causes is spurious.

The final criterion of causality is that our explanation for the relationship between the independent and dependent variables is the best explanation . Even if the first three criteria are satisfied, that does not necessarily mean the two variables are in fact related. For example, the U.S. crime rate dropped in the early 1980s, and in 1984 the reelection campaign of President Ronald Reagan took credit for this drop. This relationship satisfied the first three criteria: the crime rate fell after President Reagan took office in 1981, the drop in the crime rate could not have affected the election of this president, and there was no apparent third variable that influenced both why Reagan was elected and why the crime rate fell. However, social scientists pointed to another reason that accounted for the crime rate decrease during the 1980s: a drop in the birth rate some 15–20 years earlier, which led to a decrease during the early 1980s of the number of U.S. residents in the high-crime ages of 15–30 (Steffensmeier & Harer, 1991). The relationship between the election of Ronald Reagan and the crime rate drop was thus only a coincidence.

Drawing a Conclusion

Once the data are analyzed, the researcher finally determines whether the data analysis supports the hypothesis that has been tested, taking into account the criteria of causality just discussed. Whether or not the hypothesis is supported, the researcher (if writing for publication) typically also discusses what the results of the present research imply for both prior and future studies on the topic. If the primary purpose of the project has been to test or refine a particular theory, the conclusion will discuss the implications of the results for this theory. If the primary purpose has been to test or advance social policy, the conclusion will discuss the implications of the results for policy making relevant to the project’s subject matter.

Key Takeaways

• Several stages compose the sociological research process. These stages include (a) choosing a research topic, (b) conducting a literature review, (c) measuring variables and gathering data, (d) analyzing data, and (e) drawing a conclusion.
• Sociologists commonly base their choice of a research topic on one or more of the following: (a) a theoretical interest, (b) a social policy interest, and (c) one or more personal experiences.
• Accurate measurement of variables is essential for sound sociological research. As a minimum, measures should be as clear and unambiguous as possible.

For Your Review

• Consider the following question from a survey: “Generally speaking, are you very happy, somewhat happy, or not too happy?” Write a brief essay in which you evaluate how well this question measures happiness.
• Think of a personal experience you have had that lends itself to a possible research project. Write a brief essay in which you describe the experience and discuss the hypothesis that the research project based on the experience would address.

Steffensmeier, D., & Harer, M. D. (1991). Did crime rise or fall during the Reagan presidency? The effects of an “aging” U.S. population on the nation’s crime rate. Journal of Research in Crime and Delinquency, 28 (3), 330–359.

Sociology Copyright © 2016 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

7 reasons Nvidia is poised to soar 67% as its rally continues for the next 2 years, according to a Wall Street research firm

• Constellation Research said Nvidia stock will soar 65% to $200 per share over the next year.
• The research firm said it expects Nvidia stock to continue soaring for the next 18 to 24 months as it benefits from its AI dominance.
• There are seven moats around Nvidia's business that will enable continued growth. 

Nvidia stock will surge to $200 per share over the next 12 months, and its ongoing rally is set to last up to another two years, according to Constellation Research.

Constellation founder R "Ray" Wang told CNBC on Monday that he believes Nvidia has seven moats that will help it maintain its dominant position in the market for GPUs that are fueling the AI boom.

"Nvidia is the foundational stock in the Age of AI. CEO Jensen Huang intends to achieve vertically integrated domination from silicon to software through partnerships and direct routes to market. Unlike the PC age where Microsoft, Intel, and Cisco served as a triumvirate foundational players, this new era will have new players all tied back to Nvidia," Wang told Business Insider in an e-mail on Monday.

These are the seven reasons Wang expects Nvidia stock to soar 65% from current levels.

1. Visionary founder-led CEO

"It's a visionary-led CEO, and that's very very important as you've seen in the valley. Those are the ones that have led, like the Larry Ellisons of the world, the scott Mcnealys, the Mark Zuckerbergs," Wang said.

2. High barrier to entry

"There's few competitors that can come into this chip market, and it takes a long time to get a chip to market, and if you can do that and if you succeed and then if you can actually get the right chip, that's a very hard thing to do."

3. High switching costs

"Once you're in, you're locked in because of the CUDA software and all the access to the chips, the software, and the entire stack. You're going to be locked in for quite some time and they've got quite a lead in terms of doing that."

4. Dominant market share

"Nvidia has had dominant market share, and I think that makes a big difference because they've been in this market for quite some time and the competitors are behind by 24 months."

5. Strong product roadmap

"We're only seeing one-tenth, maybe one-one hundredth of the product roadmap that Nvidia has out there, and that's really exciting for those who actually have some insight into what they have next, because it's more than just chips, and it's more than just what's happening in software. That ability to go from silicon all the way to the end side, that's where we're going to see a lot of the innovation."

6. GPU is the default standard in AI

"The ecosystem has made the GPU a default standard. It's the standard everyone's looking to for AI from inference and testing."

7. The numbers don't lie

"We're seeing some amazing growth here that actually matches the P/E ratio, and that's what everyone is looking at, they're trying to figure out how this is going to continue, but gross margins are 78%, 262% growth compared to a year ago, this is going to continue for at least the next 18 to 24 months."

Wang said the current 14% decline in the stock since it peaked at about $140 per share last week represents yet another buying opportunity for investors.

"The pullback is coming at a macro level. People are worried about the consumer side, people worried about where the economy is going to head, and they're doing some profit-taking before the summer, so I think it's a good time to buy the dip," Wang said.

Wang isn't the only analyst on Wall Street with a $200 price target for Nvidia stock.

Last week, Rosenblatt raised its Nvidia price target to $200 per share on the prospect of the company better monetizing its CUDA software platform.

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Oracle Hospitality Exec on Its AI Plan in ‘Every Single Release’

Justin Dawes , Skift

June 27th, 2024 at 7:51 PM EDT

Oracle Hospitality has transferred thousands of hotels to its new tech system, and there are thousands more in the pipeline.

Justin Dawes

Oracle Hospitality is taking its time to integrate the latest advancements of AI into its hotel tech products. 

But once the momentum builds, it won’t stop. 

“Every single release, we’re going to have new things,” said Laura Calin, vice president of strategy and solutions management for Oracle Hospitality.

Calin shared the company’s plan for AI and new tech products in an interview with Skift during the Hitec hotel tech convention this week in Charlotte, North Carolina. 

The AI upgrades will be released through Opera Cloud Central, the multi-system hotel tech platform that the company began selling in the last year. The system was an expansion of the Opera Cloud property management system that was released five years ago .

Oracle Hospitality, which has a leading market share position in hotel tech, has been working to transfer 40,000 properties from older versions of its tech to its cloud-based system.

Scandic Hotels Group was the first customer of Opera Cloud Central, and others have been announced since then, including two this week: Thon Hotels in Norway and Red Sea Global in Saudi Arabia.

Waiting on Next-Generation AI

The tech that Oracle Hospitality sells — along with upgrades — comes in-house from Oracle, the software and hardware giant that has thousands of developers. 

Oracle is integrating the latest AI into its hotel tech and other parts of the company, but it’s a long process, Calin said. 

• “We’re patiently waiting until they bake it correctly, because it’s AI. Yes, you can talk about the use cases, and you can talk about all the flowers and how beautiful it’s going to be — but it all starts with data. Is the data available? Is it green? Is it secure? Is this thing going to scale? And is it going to be affordable?”
• “Once it’s mature and the scalability is there and the costs are under control and the security is good, I think we will see a lot of things coming up.”
• “I’d say a lot of the conversations are still very much in the buzzy [phase]. There is a lot still that’s fluffy.”
• “We do have a couple of proof of concepts that we’re working with. We’re going to consistently release something. It could be big things. It could be small things.”

The Process of Designing New Tech Features

Oracle Hospitality draws creativity from a few different avenues when looking to develop new features for its hotel tech, Calin said.

• “There is a team at Oracle called Oracle Labs . This is where a lot of the masterminds at Oracle are. This is a team that we can access, and we can throw any problem at them. We work together on a proof of concept. If it works, then we surface it to customers, and if we like it, then we put it in the product.” 
• “We can also pull universities to help us on that research, and we work together with them.”
• “In our development team, we have something that we call Innovation Fest once a year. We give our internal teams the top 10 things that we’ve heard from the customers we want to solve for. We give them a week to come up with a concept, code it, review it. And then there is a contest that we do, and then the top three ideas go into production. This year, we couldn’t choose just three, so I think about 10 went into the roadmap.”

A Growing Marketplace of Tech Vendors for Hotels

Along with Opera Cloud Central there is a marketplace of third-party tech vendors that offer services for digital tipping or housekeeping, that hotels can connect their system to. Many of these tech vendors are startups. Oracle Hospitality is working to expand that program, Calin said.

• “We do have 500 partners now in our marketplace, and then 1,000 more that are in development and getting to the marketplace. That means a lot of choice for customers.” 
• “I like that we can power startups. I like the fact that we are an enabler of innovation. Because there is no cost to them to get going. They get access to the tools. They get access to the APIs, they get access to our customer base.”

Quotes have been edited for length and clarity. 

Have a confidential tip for Skift? Get in touch

Tags: ai , artificial intelligence , hitec , hotel tech , opera , Oracle Hospitality , the prompt

Photo credit: Pictured: Scandic Nürnberg Central, an Oracle customer in Germany, opened in March 2024. Scandic Hotels Group

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Request for Information (RFI): Inviting Comments and Suggestions on an ODS Strategic Plan 2025-2029: A Blueprint for a Coordinated Dietary Supplement Research Agenda at NIH

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National Institutes of Health, HHS.

Request for information.

The National Institutes of Health (NIH), Office of Dietary Supplements (ODS) is continuing to use a structured planning process to develop its five-year strategic plans. After a new director joined ODS in July 2023 a new strategic plan for 2025-2029 was developed titled “A Blueprint for a Coordinated Dietary Supplement Research Agenda at NIH.” ODS is committed to engaging its partners and other interested parties including representatives of the scientific community, industry, other federal agencies, policymakers, and the public in the strategic planning process by soliciting their comments on the draft ODS Strategic Plan for Fiscal Years (CY) 2025-2029.

The RFI is open for public comment for a period of 60 days. To ensure consideration, comments must be submitted by August 30, 2024.

All comments must be submitted electronically to [email protected] . You will receive an electronic confirmation acknowledging receipt of your response.

Barbara Cohen, Ph.D., at [email protected] or (301) 435-2920.

This notice is in accordance with the 21st Century Cures Act, wherein NIH institutes are required to regularly update their strategic plans. The purpose of the CY 2025-2029 ODS Strategic Plan ( https://ods.od.nih.gov/​ Start Printed Page 54473 About/​StrategicPlan.aspx ) is to communicate how ODS will advance its mission to coordinate cutting-edge dietary supplement research across NIH Institutes, Centers, and Offices (ICOs) and other federal agencies to foster knowledge and optimize health across the lifespan. The plan articulates ODS' priorities as follows:

• To coordinate and support dietary supplement research focused on biological, population, and product sciences.
• To develop NIH dietary supplement initiatives that incorporate rigorous dietary supplement research methods and make best use of available NIH funding mechanisms.
• To support ODS programs and develop and disseminate dietary supplement research findings and research resources to ODS audiences.

ODS has completed a draft of its Five-Year Strategic Plan for CY 2025-2029 ( https://ods.od.nih.gov/​About/​StrategicPlan.aspx ) and is interested in receiving feedback from all interested parties on the following:

• Any additional emerging public health issues or knowledge gaps that ODS can help address.
• Partnerships NIH should pursue, both inside and outside of government, to advance research on dietary supplements.

ODS encourages organizations to submit a single response reflective of the views of the organization as a whole.

Responses to this RFI are voluntary and may be submitted anonymously. Please do not include any personally identifiable information or any information that you do not wish to make public. Proprietary, classified, confidential, or sensitive information should not be included in your response. NIH will use the information submitted in response to this Request for Information (RFI) at its discretion. NIH reserves the right to use any submitted information on public websites, in reports, in summaries of the state of the science, in any possible resultant solicitation(s), grant(s), or cooperative agreement(s), or in the development of future funding opportunity announcements. This RFI is for informational and planning purposes only and is not a solicitation for applications or an obligation on the part of the Government to provide support for any ideas identified in response to it. Please note that the Government will not pay for the preparation of any information submitted or for the use of that information.

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Dated: June 20, 2024.

Lawrence A. Tabak,

Principal Deputy Director, National Institutes of Health.

[ FR Doc. 2024-14481 Filed 6-28-24; 8:45 am]

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University of Minnesota publishes Climate Resilience Plan

The University of Minnesota recently published its first Twin Cities campus Climate Resilience Plan — the only one of its kind in the Big Ten. The new plan is an addendum to the 2023 Climate Action Plan .

Other universities have climate action plans, but few include resilience plans, which go beyond carbon emissions reduction strategies to respond to climate change and analyze how they affect the campus community, infrastructure and environment.

With 80% of the University’s community agreeing climate change is extremely or very important to them and the science is clear that swift action must be taken to ensure a livable future for all, the resilience plan goals are to adapt to changes in rainfall, seasonality and temperatures through:

• Building envelope: Improving building resilience to climate hazards through renovating and investing in worthy buildings to meet advanced standards.
• Emergency power supply: Optimizing to a 99.5% generator readiness and reliability to protect property, personnel safety and integrity of systems.
• Tree canopy: Enhancing campuswide tree cover for cooling and stormwater benefits with resilient, diverse species.
• Green space: Maximize green spaces to enhance climate adaptation and community well-being.
• River bank: Mitigating erosion along the Mississippi River bank through proactive management and sustainable design.
• Essential employees: Empowering essential workers to withstand climate impacts with awareness campaigns and support systems.
• Public health with vulnerable populations: Increasing physical and mental health support and resources for the vulnerable communities most impacted by climate change.

The Twin Cities campus resilience plan reflects goals outlined in the University’s systemwide strategic plan, MPact 2025 .

“Minnesotans experienced the 10 warmest and wettest years in the state since 1998, and extreme events such as flooding, drought and heat waves are expected to worsen if left unchecked,” said Kate Nelson, director of sustainability on the Twin Cities campus. “Adding resilience to our Climate Action Plan is one step of many the University will take to fulfill our commitment to build a fully sustainable future and position Minnesota as a leader in climate action.”

The University’s resilience plan’s priorities and measurable outcomes were created, in response to local climate hazard research, by a creative and collaborative effort of students, faculty, staff and the Office of Sustainability. This work will involve collaboration with various University departments and municipal and county governments.

About the University of Minnesota Twin Cities  One of five campuses in the University of Minnesota System, the University of Minnesota Twin Cities is the flagship and founding campus of one of the most prestigious public research universities in the nation. With more than 47,000 undergraduate and graduate students, it is also one of only five university campuses in the U.S. with an engineering school, medical school, law school, veterinary medicine school, and agricultural school all on one campus. Visit umn.edu .

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Most Americans plan to watch the Biden-Trump debate, and many see high stakes, an AP-NORC poll finds

A new AP-NORC poll finds that most U.S. adults plan to watch or listen to some element of Thursday’s presidential debate. And many think the stakes are high for both President Joe Biden and former President Donald Trump.

Signage for the upcoming presidential debate is seen at the media file center near the CNN Techwood campus in Atlanta on Tuesday, June 25, 2024. A new poll finds that most U.S. adults plan to watch or listen to some element of Thursday’s presidential debate. (AP Photo/Pablo Martinez Monsivais)

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Rep. Wesley Hunt, R-Texas, speaks during an event Wednesday, June 26, 2024, in Atlanta, hosted by the Donald Trump campaign billed as a “Black American Business Leaders Round Table,” at Rocky’s Barber Shop, in advance of the presidential debate between President Joe Biden and Republican presidential candidate former President Donald Trump. (AP Photo/Gerald Herbert)

Ben Starett, lighting programmer for CNN, sets up lights in the spin room for the upcoming CNN Presidential Debate between President Joe Biden and Republican presidential candidate former President Donald Trump in Atlanta, Wednesday, June 26, 2024. (AP Photo/Gerald Herbert)

People converse during setup in the spin room for the upcoming CNN Presidential Debate between President Joe Biden and Republican presidential candidate former President Donald Trump in Atlanta, Wednesday, June 26, 2024. (AP Photo/Gerald Herbert)

FILE - Democratic presidential candidate former Vice President Joe Biden speaks during the first presidential debate with President Donald Trump Sept. 29, 2020, at Case Western University and Cleveland Clinic, in Cleveland. (AP Photo/Patrick Semansky, File)

This combination of photos show President Donald Trump, left, and former Vice President Joe Biden during the first presidential debate on Sept. 29, 2020, in Cleveland. (AP Photo/Patrick Semansky, File)

WASHINGTON (AP) — Most U.S. adults plan to watch some element of Thursday’s presidential debate and many think the event will be important for the campaigns of both President Joe Biden and former President Donald Trump, according to a new poll from The Associated Press-NORC Center for Public Affairs Research .

Both men remain broadly unpopular as they prepare to face off for the first time since 2020, although Trump, the presumptive Republican nominee, maintains a modest enthusiasm advantage with his base compared to Biden, the Democratic incumbent.

About 6 in 10 U.S. adults say they are “extremely” or “very” likely to watch the debate live or in clips, or read about or listen to commentary about the performance of the candidates in the news or social media.

The poll suggests tens of millions of Americans are likely to see or hear about at least part of Thursday’s debate despite how unusually early it comes in the campaign season. Both Biden and Trump supporters view the debate as a major test for their candidate — or just a spectacle not to miss.

“I think it’s super important,” said Victoria Perdomo, a 44-year-old stay-at-home mom and a Trump supporter in Coral Springs, Florida. “It shows America what you’re going to see for the next four years.”

Nic Greene, a libertarian who is a registered independent, said he’ll likely vote for Trump as the “least worst candidate.” He doesn’t think debates do much to help voters make decisions, but he’s expecting to be entertained and plans to listen to post-debate analysis on podcasts.

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“I think the majority of people have their minds made up with or without these debates,” he said. “It’s a circus.”

Both sides see the debate as important

About half, 47%, of Americans say the debate is “extremely” or “very” important for the success of Biden’s campaign and about 4 in 10 say it’s highly important for Trump’s campaign. About 3 in 10 Americans say it is at least “very” important for both campaigns.

Most Democrats, 55%, think the upcoming debate is extremely or very important for the success of the Biden campaign. About half of Republicans, 51%, say the same thing about the importance of the debate for the Trump campaign. Only about one-third of independents say the debate, taking place at a CNN studio in Atlanta, is highly important for either campaign.

Arthur Morris, a 40-year-old operations manager at a major financial firm, is an undecided voter open to Biden, Trump or a third-party option such as independent candidate Robert F. Kennedy, Jr. He, along with a significant share of Americans, has doubts about the mental capabilities of the aging candidates, and sees Biden’s debate performance as an important test.

“I need Biden to demonstrate to me that he’s cogent enough to be able to hold this office and execute to the level that we need him to,” Morris said.

Trump, meanwhile, needs to show he can be trusted after the Jan. 6, 2021, attack on the U.S. Capitol in which Trump supporters disrupted the certification of his 2020 loss to Biden and Trump’s recent conviction in a hush money scheme, said Morris, of Lewiston, Ohio.

About 4 in 10 say they are likely to watch or listen to some or all of the debate live, while a similar share say they will watch or listen to clips later. Another 4 in 10, roughly, expect to consume commentary about the debate and candidate performance in the news or on social media. Republicans and Democrats are more likely than independents to be following debate coverage in some capacity.

Voters are still unhappy about their options

Biden and Trump are each entering the debate with low favorability ratings. About 6 in 10 U.S. adults say they have a very or somewhat unfavorable view of Biden, and a similar number have a negative view of Trump.

Most Americans, 56%, say they are “very” or “somewhat” dissatisfied with Biden being the Democratic Party’s likely nominee for president, and a similar majority are dissatisfied with Trump as the likely GOP nominee. The poll indicates that Republicans continue to be more satisfied with a re-nomination of Trump than Democrats are with an anticipated Biden re-nomination. Six in 10 Republicans are satisfied with Trump as a nominee; just 42% of Democrats say that about Biden.

About 3 in 10 U.S. adults are dissatisfied with both Trump and Biden as their party’s likely nominees – with independents and Democrats being more likely than Republicans to be dissatisfied with both.

Republicans and Democrats are more likely to have a negative view of the opposing party’s candidate than they are to have a positive view of their own.

About 9 in 10 Republicans have an unfavorable view of Biden, and about 9 in 10 Democrats have a negative view of Trump. By comparison, roughly 7 in 10 Democrats have a favorable view of Biden, and about 7 in 10 Republicans have a positive view of Trump.

About 4 in 10 U.S. adults approve of how Biden is handling his job as president, in line with where that number has stood for the past two years. Biden’s approval rating among U.S. adults on handling the economy is similar, as is his handling of abortion policy. Only 3 in 10 approve of his approach to immigration.

“I do believe there has been some progress under Biden, but I believe it’s Congress who is the one stalling on any of the policies that Biden wants to proceed with,” said Jane Quan-Bell, 70, a school librarian from Chico, California, and a Democrat.

The conflict between the Israelis and Palestinians is an especially vulnerable spot for Biden. With only 26% of U.S. adults approving of his handling of the issue, it’s well below his overall approval rating. Nearly 6 in 10 Democrats disapprove of his approach.

The poll of 1,088 adults was conducted June 20-24, 2024, using a sample drawn from NORC’s probability-based AmeriSpeak Panel, which is designed to be representative of the U.S. population. The margin of sampling error for all respondents is plus or minus 4.0 percentage points.

Cooper reported from Phoenix.

A previous version of this story misspelled Arthur Morris’ last name. It is Morris, not Murray.