good sociology hypothesis

2.1 Approaches to Sociological Research

Learning objectives.

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

Define and describe the scientific method.
Explain how the scientific method is used in sociological research.
Describe the function and importance of an interpretive framework.
Describe the differences in accuracy, reliability and validity 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 social patterns in the workplace that have transformed industries, in families that have enlightened family members, and in education that have aided structural changes in classrooms.

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 question is formed, the sociologist 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 social 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 six prescribed steps that have been established over centuries of scientific scholarship.

Sociological research does not reduce knowledge to right or wrong facts. Results of studies tend to provide people with insights they did not have before—explanations of human behaviors and social practices and access to knowledge of other cultures, rituals and beliefs, or trends and attitudes.

In general, sociologists tackle questions about the role of social characteristics in outcomes or results. 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 often look between the cracks to discover obstacles to meeting basic human needs. They might also 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, social 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 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 does not 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 collecting and analyzing data in research studies.

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 (Merton 1963). Typically, the scientific method has 6 steps which are described below.

Step 1: Ask a Question or Find a Research Topic

The first step of the scientific method is to ask a question, select a problem, and identify the specific area of interest. The topic should be narrow enough to study within a geographic location 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. Sociologists strive to frame questions that examine well-defined patterns and relationships.

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?”

Step 2: Review the Literature/Research Existing Sources

To study crime, a researcher might also sort through existing data from the court system, police database, prison information, interviews with criminals, guards, wardens, etc. It’s important to examine this information in addition to existing research to determine how these resources might be used to fill holes in existing knowledge. Reviewing existing sources educates researchers and helps refine and improve a research study design.

Step 3: Formulate a Hypothesis

A hypothesis is an explanation for a phenomenon based on a conjecture about the relationship between the phenomenon and one or more causal factors. In sociology, the hypothesis will often predict how one form of human behavior influences another. For example, a hypothesis might be in the form of an “if, then statement.” Let’s relate this to our topic of crime: If unemployment increases, then the crime rate will increase.

In scientific research, we formulate hypotheses to include an independent variables (IV) , which are the cause of the change, and a dependent variable (DV) , which is the effect , or thing that is changed. In the example above, unemployment is the independent variable and the crime rate is the dependent variable.

In a sociological 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)?

Taking an example from Table 12.1, a researcher might hypothesize that teaching children proper hygiene (the independent variable) will boost their sense of self-esteem (the dependent variable). Note, however, this hypothesis can also work the other way around. A sociologist might predict that increasing a child’s sense of self-esteem (the independent variable) will increase or improve habits of hygiene (now the dependent variable). Identifying the independent and dependent variables is very important. As the hygiene example shows, simply identifying related two topics or variables is not enough. Their prospective relationship must be part of the hypothesis.

Step 4: Design and Conduct a Study

Researchers design studies to maximize 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 or what will happen in one situation will happen in another. Cooking is a science. When you follow a recipe and measure ingredients with a cooking tool, such as a measuring cup, the same results is obtained as long as the cook follows the same recipe and uses the same type of tool. The measuring cup introduces accuracy into the process. If a person uses a less accurate tool, such as their hand, to measure ingredients rather than a cup, the same result may not be replicated. Accurate tools and methods increase reliability.

Researchers also strive for validity , which refers to how well the study measures what it was designed to measure. To produce reliable and valid results, sociologists develop an operational definition , that is, they define each concept, or variable, 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 the concept, all researchers can collect data in a systematic or replicable manner. Moreover, researchers can determine whether the experiment or method validly represent the phenomenon they intended to study.

A study asking how tutoring improves grades, for instance, might define “tutoring” as “one-on-one assistance by an expert in the field, hired by an educational institution.” However, one researcher might define a “good” grade as a C or better, while another uses a B+ as a starting point for “good.” For the results to be replicated and gain acceptance within the broader scientific community, researchers would have to use a standard operational definition. These definitions set limits and establish cut-off points that ensure consistency and replicability in a study.

We will explore research methods in greater detail in the next section of this chapter.

Step 5: Draw Conclusions

After constructing the research design, sociologists collect, tabulate or categorize, and analyze data to formulate conclusions. If the analysis supports the hypothesis, researchers can discuss the implications of the results for the theory or policy solution that they were addressing. If the analysis does not support the hypothesis, researchers may consider repeating the experiment or think of ways to improve their procedure.

However, even when results contradict a sociologist’s prediction of a study’s outcome, these results still contribute to sociological understanding. Sociologists analyze general patterns in response to a study, but they are equally interested in exceptions to patterns. In a study of education, a researcher might predict that high school dropouts have a hard time finding rewarding careers. While many assume that the higher the education, the higher the salary and degree of career happiness, there are certainly exceptions. People with little education have had stunning careers, and people with advanced degrees have had trouble finding work. A sociologist prepares a hypothesis knowing that results may substantiate or contradict it.

Sociologists carefully keep in mind how operational definitions and research designs impact the results as they draw conclusions. Consider the concept of “increase of crime,” which might be defined as the percent increase in crime from last week to this week, as in the study of Swedish crime discussed above. Yet the data used to evaluate “increase of crime” might be limited by many factors: who commits the crime, where the crimes are committed, or what type of crime is committed. If the data is gathered for “crimes committed in Houston, Texas in zip code 77021,” then it may not be generalizable to crimes committed in rural areas outside of major cities like Houston. If data is collected about vandalism, it may not be generalizable to assault.

Step 6: Report Results

Researchers report their results at conferences and in academic journals. These results are then subjected to the scrutiny of other sociologists in the field. Before the conclusions of a study become widely accepted, the studies are often repeated in the same or different environments. In this way, sociological theories and knowledge develops as the relationships between social phenomenon are established in broader contexts and different circumstances.

Interpretive Framework

While many sociologists rely on empirical data and the scientific method as a research approach, others operate from an interpretive framework . While systematic, this approach doesn’t follow the hypothesis-testing model that seeks to find generalizable results. Instead, an interpretive framework, sometimes referred to as an interpretive perspective , seeks to understand social worlds from the point of view of participants, which leads to in-depth knowledge or understanding about the human experience.

Interpretive research is generally more descriptive or narrative in its findings. Rather than formulating a hypothesis and method for testing it, an interpretive researcher will develop approaches to explore the topic at hand that may involve a significant amount of direct observation or interaction with subjects including storytelling. This type of researcher learns through the process and sometimes adjusts the research methods or processes midway to optimize findings as they evolve.

Critical Sociology

Critical sociology focuses on deconstruction of existing sociological research and theory. Informed by the work of Karl Marx, scholars known collectively as the Frankfurt School proposed that social science, as much as any academic pursuit, is embedded in the system of power constituted by the set of class, caste, race, gender, and other relationships that exist in the society. Consequently, it cannot be treated as purely objective. Critical sociologists view theories, methods, and the conclusions as serving one of two purposes: they can either legitimate and rationalize systems of social power and oppression or liberate humans from inequality and restriction on human freedom. Deconstruction can involve data collection, but the analysis of this data is not empirical or positivist.

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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.

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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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Chapter 2. Sociological Research

Learning objectives.

2.1. Approaches to Sociological Research

Define and describe the scientific method
Explain how the scientific method is used in sociological research
Understand the difference between positivist and interpretive approaches to the scientific method in sociology
Define what reliability and validity mean in a research study

2.2. Research Methods

Differentiate between four kinds of research methods: surveys, experiments, field research, and secondary data and textual analysis
Understand why different 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
Outline some of the issues of value neutrality in sociology

Introduction to Sociological Research

In the university cafeteria, you set your lunch tray down at a table, grab a chair, join a group of your classmates, and hear the start of two discussions. One person says, “It’s weird how Justin Bieber has 48 million followers on Twitter.” Another says, “Disney World is packed year round.” Those two seemingly benign statements are claims, or opinions, based on everyday observation of human behaviour. Perhaps the speakers had firsthand experience, talked to experts, conducted online research, or saw news segments on TV. In response, two conversations erupt. “I don’t see why anyone would want to go to Disney World and stand in those long lines.” “Are you kidding?! Going to Disney World is one of my favourite childhood memories.” “It’s the opposite for me with Justin Bieber. Seeing people camp out outside his hotel just to get a glimpse of him; it doesn’t make sense.” “Well, you’re not a teenage girl.” “Going to a theme park is way different than trying to see a teenage heart throb.” “But both are things people do for the same reason: they’re looking for a good time.” “If you call getting crushed by a crowd of strangers fun.”

As your classmates at the lunch table discuss what they know or believe, the two topics converge. The conversation becomes a debate. Someone compares Beliebers to Beatles fans. Someone else compares Disney World to a cruise. Students take sides, agreeing or disagreeing, as the conversation veers to topics such as crowd control, mob mentality, political protests, and group dynamics. If you contributed your expanding knowledge of sociological research to this conversation, you might make statements like these: “Justin Bieber’s fans long for an escape from the boredom of real teenage life. Beliebers join together claiming they want romance, except what they really want is a safe place to explore the confusion of teenage sexual feelings.” And this: “Mickey Mouse is a larger-than-life cartoon celebrity. Disney World is a place where families go to see what it would be like to live inside a cartoon.” You finish lunch, clear away your tray, and hurry to your next class. But you are thinking of Justin Bieber and Disney World. You have a new perspective on human behaviour and a list of questions that you want answered. That is the purpose of sociological research—to investigate and provide insights into how human societies function.

Although claims and opinions are part of sociology, sociologists use empirical evidence (that is, evidence corroborated by direct experience and/or observation) combined with the scientific method or an interpretive framework to deliver sound sociological research. They also rely on a theoretical foundation that provides an interpretive perspective through which they can make sense of scientific results. A truly scientific sociological study of the social situations up for discussion in the cafeteria would involve these prescribed steps: defining a specific question, gathering information and resources through 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 retest findings.

An appropriate starting point in this case might be the question “What do fans of Justin Bieber seek that drives them to follow his Twitter comments so faithfully?” As you begin to think like a sociologist, you may notice that you have tapped into your observation skills. You might assume that your observations and insights are valuable and accurate. But the results of casual observation are limited by the fact that there is no standardization—who is to say one person’s observation of an event is any more accurate than another’s? To mediate these concerns, sociologists rely on systematic research processes.

When sociologists apply the sociological perspective and begin to ask questions, no topic is off limits. Every aspect of human behaviour is a source of possible investigation. Sociologists question the world that humans have created and live in. They notice patterns of behaviour 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 parents, and education patterns that have aided structural changes in classrooms. The students at that university cafeteria discussion put forth a few loosely stated opinions.

If the human behaviours around those claims were tested systematically, a student could write a report and offer the findings to fellow sociologists and the world in general. The new perspective could help people understand themselves and their neighbours 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 a question is formed, a sociologist proceeds through an in-depth process to answer it. In deciding how to design that process, the researcher may adopt a positivist approach or an interpretive approach. 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, field research, and textual analysis. But humans and their social interactions are so diverse that they 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 behaviour. However, this is exactly why scientific models work for studying human behaviour. 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. This is the case for both positivist or quantitative methodologies and interpretive or qualitative methodologies. 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.

Returning to the Disney World topic, reliability of a study would reflect how well the resulting experience represents the average experience of theme park-goers. Validity would ensure that the study’s design accurately examined what it was designed to study, so an exploration of adults’ interactions with costumed mascots should address that issue and not veer into other age groups’ interactions with them or into adult interactions with staff or other guests.

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 behaviour that lead to crime, substance abuse, divorce, poverty, unplanned pregnancies, or illness. And, because sociological studies are not all focused on problematic behaviours or challenging situations, researchers might study vacation trends, healthy eating habits, neighbourhood organizations, higher education patterns, games, parks, and exercise habits.

Sociologists can use the scientific method not only to collect but to interpret and analyze the data. They deliberately apply scientific logic and objectivity. They are interested in but not attached to the results. Their research work is independent of their own political or social beliefs. This does not mean researchers are not critical. Nor does it mean they 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 (Merton 1963). 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 timeframe. “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 concept is translated into an observable variable , a measure that has different values. 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 in the sense that it is an appropriate and meaningful measure of the concept being studied. It must also 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 behaviours 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. It allows them to sharpen the focus of their research question and avoid duplicating previous research. 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 build on 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 childrearing, vanity, obsessive-compulsive behaviours, and cultural attitudes toward beauty. It’s important to sift through this information and determine what is relevant. Using existing sources educates a researcher and helps refine and improve a study’s design.

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. It is an “educated guess” because it is not random but based on theory, observations, patterns of experience, or the existing literature. The hypothesis formulates this guess in the form of a testable proposition. However, how the hypothesis is handled differs between the positivist and interpretive approaches. Positivist methodologies are often referred to as hypothetico-deductive methodologies . A hypothesis is derived from a theoretical proposition. On the basis of the hypothesis a prediction or generalization is logically deduced. In positivist sociology, the hypothesis predicts how one form of human behaviour influences another.

Successful prediction will determine the adequacy of the hypothesis and thereby test the theoretical proposition. Typically positivist approaches operationalize variables as quantitative data ; that is, by translating a social phenomenon like “health” into a quantifiable or numerically measurable variable like “number of visits to the hospital.” This permits sociologists to formulate their predictions using mathematical language like regression formulas, to present research findings in graphs and tables, and to perform mathematical or statistical techniques to demonstrate the validity of relationships.

Variables are examined to see if there is a correlation between them. When a change in one variable coincides with a change in another variable there is a correlation. This does not necessarily indicate that changes in one variable causes a change in another variable, however, just that they are associated. A key distinction here is between independent and dependent variables. 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 behaviour 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)? For it to become possible to speak about causation, three criteria must be satisfied:

There must be a relationship or correlation between the independent and dependent variables.
The independent variable must be prior to the dependent variable.
There must be no other intervening variable responsible for the causal relationship.

Table 2.1. Examples of Dependent and Independent Variables Typically, the independent variable causes the dependent variable to change in some way.

At this point, a researcher’s operational definitions help measure the variables. In a study asking how tutoring improves grades, for instance, one researcher might define “good” grades as a C or better, while another uses a B+ as a starting point for “good.” Another operational definition might describe “tutoring” as “one-on-one assistance by an expert in the field, hired by an educational institution.” Those definitions set limits and establish cut-off points, ensuring consistency and replicability in a study. As the chart shows, an independent variable is the one that causes a dependent variable to change. For example, a researcher might hypothesize that teaching children proper hygiene (the independent variable) will boost their sense of self-esteem (the dependent variable). Or rephrased, a child’s sense of self-esteem depends, in part, on the quality and availability of hygienic resources.

Of course, this hypothesis can also work the other way around. Perhaps a sociologist believes that increasing a child’s sense of self-esteem (the independent variable) will automatically increase or improve habits of hygiene (now the dependent variable). Identifying the independent and dependent variables is very important. As the hygiene example shows, simply identifying two topics, or variables, is not enough: Their prospective relationship must be part of the hypothesis. Just because a sociologist forms an educated prediction of a study’s outcome doesn’t mean data contradicting the hypothesis are not welcome. Sociologists analyze general patterns in response to a study, but they are equally interested in exceptions to patterns.

In a study of education, a researcher might predict that high school dropouts have a hard time finding a rewarding career. While it has become at least a cultural assumption that the higher the education, the higher the salary and degree of career happiness, there are certainly exceptions. People with little education have had stunning careers, and people with advanced degrees have had trouble finding work. A sociologist prepares a hypothesis knowing that results will vary.

While many sociologists rely on the positivist hypothetico-deductive method in their research, others operate from an interpretive approach . While systematic, this approach does not follow the hypothesis-testing model that seeks to make generalizable predictions from quantitative variables. Instead, an interpretive framework seeks to understand social worlds from the point of view of participants, leading to in-depth knowledge. It focuses on qualitative data, or the meanings that guide people’s behaviour. Rather than relying on quantitative instruments like questionnaires or experiments, which can be artificial, the interpretive approach attempts to find ways to get closer to the informants’ lived experience and perceptions. Interpretive research is generally more descriptive or narrative in its findings. It can begin from a deductive approach, by deriving a hypothesis from theory and then seeking to confirm it through methodologies like in-depth interviews.

However, it is ideally suited to an inductive approach in which the hypothesis emerges only after a substantial period of direct observation or interaction with subjects. This type of approach is exploratory in that the researcher also learns as he or she proceeds, sometimes adjusting the research methods or processes midway to respond to new insights and findings as they evolve. Once the preliminary work is done, it’s time for the next research steps: designing and conducting a study, and drawing conclusions. These research methods are discussed below.

Sociologists examine the world, see a problem or interesting pattern, and set out to study it. They use research methods to design a study—perhaps a positivist, quantitative method for conducting research and obtaining data, or perhaps an ethnographic study utilizing an interpretive framework. Planning the research design is a key step in any sociological study. When entering a particular social environment, a researcher must be careful. There are times to remain anonymous and times to be overt. There are times to conduct interviews and times to simply observe. Some participants need to be thoroughly informed; others should not know they are being observed. A researcher would not stroll into a crime-ridden neighbourhood at midnight, calling out, “Any gang members around?” And if a researcher walked into a coffee shop and told the employees they would be observed as part of a study on work efficiency, the self-conscious, intimidated baristas might not behave naturally.

In the 1920s, leaders of a Chicago factory called Hawthorne Works commissioned a study to determine whether or not changing certain aspects of working conditions could increase or decrease worker productivity. Sociologists were surprised when the productivity of a test group increased when the lighting of their workspace was improved. They were even more surprised when productivity improved when the lighting of the workspace was dimmed. In fact almost every change of independent variable—lighting, breaks, work hours—resulted in an improvement of productivity. But when the study was over, productivity dropped again.

Why did this happen? In 1953, Henry A. Landsberger analyzed the study results to answer this question. He realized that employees’ productivity increased because sociologists were paying attention to them. The sociologists’ presence influenced the study results. Worker behaviours were altered not by the lighting but by the study itself. From this, sociologists learned the importance of carefully planning their roles as part of their research design (Franke and Kaul 1978). Landsberger called the workers’ response the Hawthorne effect —people changing their behaviour because they know they are being watched as part of a study.

The Hawthorne effect is unavoidable in some research. In many cases, sociologists have to make the purpose of the study known for ethical reasons. Subjects must be aware that they are being observed, and a certain amount of artificiality may result (Sonnenfeld 1985). Making sociologists’ presence invisible is not always realistic for other reasons. That option is not available to a researcher studying prison behaviours, early education, or the Ku Klux Klan. Researchers cannot just stroll into prisons, kindergarten classrooms, or Ku Klux Klan meetings and unobtrusively observe behaviours. In situations like these, other methods are needed. All studies shape the research design, while research design simultaneously shapes the study. Researchers choose methods that best suit their study topic and that fit with their overall goal for the research.

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

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

At some point or another, everyone responds to some type of survey. The Statistics Canada census is an excellent example of a large-scale survey intended to gather sociological data. Customers also fill out questionnaires at stores or promotional events, responding to questions such as “How did you hear about the event?” and “Were the staff helpful?” You’ve probably picked up the phone and heard a caller ask you to participate in a political poll or similar type of survey: “Do you eat hot dogs? If yes, how many per month?” Not all surveys would be considered sociological research. Marketing polls help companies refine marketing goals and strategies; they are generally not conducted as part of a scientific study, meaning they are not designed to test a hypothesis or to contribute knowledge to the field of sociology. The results are not published in a refereed scholarly journal, where design, methodology, results, and analyses are vetted.

Often, polls on TV do not reflect a general population, but are merely answers from a specific show’s audience. Polls conducted by programs such as American Idol or Canadian Idol represent the opinions of fans but are not particularly scientific. A good contrast to these are the BBM Ratings, which determine the popularity of radio and television programming in Canada through scientific market research. Sociologists conduct surveys under controlled conditions for specific purposes. Surveys gather different types of information from people. While surveys are not great at capturing the ways people really behave in social situations, they are a great method for discovering how people feel and think—or at least how they say they feel and think. Surveys can track attitudes and opinions, political preferences, reported individual behaviours (such as sleeping, driving, or texting habits), or factual information such as employment status, income, and education levels. A survey targets a specific population , people who are the focus of a study, such as university athletes, international students, or teenagers living with type 1 (juvenile-onset) diabetes.

Most researchers choose to survey a small sector of the population, or a sample : that is, a manageable number of subjects who represent a larger population. The success of a study depends on how well a population is represented by the sample. In a random sample , every person in a population has the same chance of being chosen for the study. According to the laws of probability, random samples represent the population as a whole. For instance, an Ipsos Reid 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. However the validity of surveys can be threatened when part of the population is inadvertently excluded from the sample (e.g., telephone surveys that rely on land lines exclude people that use only cell phones) or when there is a low response rate. After selecting subjects, the researcher develops a specific plan to ask questions and record responses.

It is important to inform subjects of the nature and purpose of the study upfront. 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 (a means of gathering the information). A common instrument is a structured questionnaire, in which subjects answer a series of set questions. For some topics, the researcher might ask yes-or-no or multiple-choice questions, allowing subjects to choose possible responses to each question.

This kind of quantitative data —research collected in numerical form that can be counted—is easy to tabulate. Just count up the number of “yes” and “no” answers or tabulate the scales of “strongly agree,” “agree,” disagree,” etc. responses and chart them into percentages. This is also their chief drawback however: their artificiality. In real life, there are rarely any unambiguously yes-or-no answers. Questionnaires can also ask more complex questions with more complex answers—beyond “yes,” “no,” “agree,” “strongly agree,” or an option next to a checkbox. In those cases, the answers are subjective, varying from person to person. How do you plan to use your university education? Why do you follow Justin Bieber around the country and attend every concert? Those types of questions require short essay responses, and participants willing to take the time to write those answers will convey personal information about religious beliefs, political views, and morals.

Some topics that reflect internal thought are impossible to observe directly and are difficult to discuss honestly in a public forum. People are more likely to share honest answers if they can respond to questions anonymously. This type of information is qualitative data —results that are subjective and often based on what is seen in a natural setting. Qualitative information is harder to organize and tabulate. The researcher will end up with a wide range of responses, some of which may be surprising. The benefit of written opinions, though, is the wealth of material that they provide.

An interview is a one-on-one conversation between the researcher and the subject, and is a way of conducting surveys on a topic. Interviews are similar to the short answer questions on surveys in that the researcher asks subjects a series of questions. However, participants are free to respond as they wish, without being limited by predetermined choices. In the back-and-forth conversation of an interview, a researcher can ask for clarification, spend more time on a subtopic, or ask additional questions. In an interview, a subject will ideally feel free to open up and answer questions that are often complex. There are no right or wrong answers. The subject might not even know how to answer the questions honestly. Questions such as “How did society’s view of alcohol consumption influence your decision whether or not to take your first sip of alcohol?” or “Did you feel that the divorce of your parents would put a social stigma on your family?” involve so many factors that the answers are difficult to categorize. A researcher needs to avoid steering or prompting the subject to respond in a specific way; otherwise, the results will prove to be unreliable. And, obviously, a sociological interview is not an interrogation. The researcher will benefit from gaining a subject’s trust, from empathizing or commiserating with a subject, and from listening without judgment.

Experiments

You’ve probably tested personal social theories. “If I study at night and review in the morning, I’ll improve my retention skills.” Or, “If I stop drinking soda, I’ll feel better.” Cause and effect. If this, then that. When you test the theory, your results either prove or disprove your hypothesis. One way researchers test social theories is by conducting an experiment , meaning they investigate relationships to test a hypothesis—a scientific approach. There are two main types of experiments: lab-based experiments and natural or field experiments.

In a lab setting, the research can be controlled so that perhaps more data can be recorded in a certain amount of time. In a natural or field-based experiment, the generation of data cannot be controlled but the information might be considered more accurate since it was collected without interference or intervention by the researcher. As a research method, either type of sociological experiment is useful for testing if-then statements: if a particular thing happens, then another particular thing will result.

To set up a lab-based experiment, sociologists create artificial situations that allow them to manipulate variables. Classically, the sociologist selects a set of people with similar characteristics, such as age, class, race, or education. Those people are divided into two groups. One is the experimental group and the other is the control group . The experimental group is exposed to the independent variable(s) and the control group is not. This is similar to pharmaceutical drug trials in which the experimental group is given the test drug and the control group is given a placebo or sugar pill. To test the benefits of tutoring, for example, the sociologist might expose the experimental group of students to tutoring while the control group does not receive tutoring. Then both groups would be tested for differences in performance to see if tutoring had an effect on the experimental group of students. As you can imagine, in a case like this, the researcher would not want to jeopardize the accomplishments of either group of students, so the setting would be somewhat artificial. The test would not be for a grade reflected on their permanent record, for example.

The Stanford Prison Experiment is perhaps one of the most famous sociological experiments ever conducted. In 1971, 24 healthy, middle-class male university students were selected to take part in a simulated jail environment to examine the effects of social setting and social roles on individual psychology and behaviour. They were randomly divided into 12 guards and 12 prisoners. The prisoner subjects were arrested at home and transported blindfolded to the simulated prison in the basement of the psychology building on the campus of Stanford University. Within a day of arriving the prisoners and the guards began to display signs of trauma and sadism respectively. After some prisoners revolted by blockading themselves in their cells, the guards resorted to using increasingly humiliating and degrading tactics to control the prisoners through psychological manipulation. The experiment had to be abandoned after only six days because the abuse had grown out of hand (Haney, Banks, and Zimbardo 1973). While the insights into the social dynamics of authoritarianism it generated were fascinating, the Stanford Prison Experiment also serves as an example of the ethical issues that emerge when experimenting on human subjects.

Making Connections: Sociological Research

An experiment in action: mincome.

A real-life example will help illustrate the experimental process in sociology. Between 1974 and 1979 an experiment was conducted in the small town of Dauphin, Manitoba (the “garden capital of Manitoba”). Each family received a modest monthly guaranteed income—a “mincome”—equivalent to a maximum of 60 percent of the “low-income cut-off figure” (a Statistics Canada measure of poverty, which varies with family size). The income was 50 cents per dollar less for families who had incomes from other sources. Families earning over a certain income level did not receive mincome. Families that were already collecting welfare or unemployment insurance were also excluded. The test families in Dauphin were compared with control groups in other rural Manitoba communities on a range of indicators such as number of hours worked per week, school performance, high school dropout rates, and hospital visits (Forget 2011). A guaranteed annual income was seen at the time as a less costly, less bureaucratic public alternative for addressing poverty than the existing employment insurance and welfare programs. Today it is an active proposal being considered in Switzerland (Lowrey 2013).

Intuitively, it seems logical that lack of income is the cause of poverty and poverty-related issues. One of the main concerns, however, was whether a guaranteed income would create a disincentive to work. The concept appears to challenge the principles of the Protestant work ethic (see the discussion of Max Weber in Chapter 1). The study did find very small decreases in hours worked per week: about 1 percent for men, 3 percent for wives, and 5 percent for unmarried women. Forget (2011) argues this was because the income provided an opportunity for people to spend more time with family and school, especially for young mothers and teenage girls. There were also significant social benefits from the experiment, including better test scores in school, lower high school dropout rates, fewer visits to hospital, fewer accidents and injuries, and fewer mental health issues.

Ironically, due to lack of guaranteed funding (and lack of political interest by the late 1970s), the data and results of the study were not analyzed or published until 2011. The data were archived and sat gathering dust in boxes. The mincome experiment demonstrated the benefits that even a modest guaranteed annual income supplement could have on health and social outcomes in communities. People seem to live healthier lives and get a better education when they do not need to worry about poverty. In her summary of the research, Forget notes that the impact of the income supplement was surprisingly large given that at any one time only about a third of the families were receiving the income and, for some families, the income amount would have been very small. The income benefit was largest for low-income working families but the research showed that the entire community profited. The improvement in overall health outcomes for the community suggest that a guaranteed income would also result in savings for the public health system.

Field Research

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

While field research often begins in a specific setting , the study’s purpose is to observe specific behaviours in that setting. Fieldwork is optimal for observing how people behave. It is less useful, however, for developing causal explanations of why they behave that way. From the small size of the groups studied in fieldwork, it is difficult to make predictions or generalizations to a larger population. Similarly, there are difficulties in gaining an objective distance from research subjects. It is difficult to know whether another researcher would see the same things or record the same data. We will look at three types of field research: participant observation, ethnography, and the case study.

Making Connections: Sociology in the Real World

When is sharing not such a good idea.

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

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

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

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 if 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 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 study a naturally occurring social activity without imposing artificial or intrusive research devices, like fixed questionnaire questions, onto the situation. A researcher might go to great lengths to get a firsthand look into a trend, institution, or behaviour. Researchers temporarily put themselves into “native” roles and record their observations. A researcher might work as a waitress in a diner, or live as a homeless person for several weeks, or ride along with police officers as they patrol their regular beat. Often, these researchers try to blend in seamlessly with the population they study, and they may not disclose their true identity or purpose if they feel it would compromise the results of their research.

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 shaping data into results. In a study of small-town America 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 American 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 their purpose. This shaped the structure of Middletown: A Study in Modern American Culture , their published results (Lynd and Lynd 1959).

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 behaviours of a group’s members. The challenge, however, is gaining access to a setting without disrupting the pattern of others’ behaviour. 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, describing 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, as the story goes, Ehrenreich mentioned an idea. How can people exist on minimum-wage work? How do low-income workers get by? she wondered. Someone should do a study. To her surprise, her editor responded, Why don’t you do it? That is how Ehrenreich found herself joining the ranks of the low-wage service sector. 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 service work 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.

Ethnography

Ethnography is the extended observation of the social perspective and cultural values of an entire social setting. Researchers seek to immerse themselves in the life of a bounded group, by living and working among them. Often ethnography involves participant observation, but the focus is the systematic observation of an entire community.

The heart of an ethnographic study focuses on how subjects view their own social standing and how they understand themselves in relation to a community. An ethnographic study might observe, for example, a small Newfoundland fishing town, an Inuit community, a village in Thailand, a Buddhist monastery, a private boarding school, or Disney World. 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, and keeping careful notes on his or her observations.

A sociologist studying a tribe in the Amazon might learn the language, watch the way villagers go about their daily lives, ask individuals about the meaning of different aspects of activity, study the group’s cosmology and then write a paper about it. To observe a spiritual retreat centre, an ethnographer might sign up for a retreat and attend as a guest for an extended stay, observe and record how people experience spirituality in this setting, and collate the material into results.

The Feminist Perspective: Institutional Ethnography

Dorothy Smith elaborated on traditional ethnography to develop what she calls institutional ethnography (2005). In modern society the practices of everyday life in any particular local setting are often organized at a level that goes beyond what an ethnographer might observe directly. Everyday life is structured by “extralocal,” institutional forms; that is, by the practices of institutions that act upon people from a distance. It might be possible to conduct ethnographic research on the experience of domestic abuse by living in a women’s shelter and directly observing and interviewing victims to see how they form an understanding of their situation. However, to the degree that the women are seeking redress through the criminal justice system a crucial element of the situation would be missing. In order to activate a response from the police or the courts, a set of standard legal procedures must be followed, a “case file” must be opened, legally actionable evidence must be established, forms filled out, etc. All of this allows criminal justice agencies to organize and coordinate the response.

The urgent and immediate experience of the domestic abuse victims needs to be translated into a format that enables distant authorities to take action. Often this is a frustrating and mysterious process in which the immediate needs of individuals are neglected so that needs of institutional processes are met. Therefore to research the situation of domestic abuse victims, an ethnography needs to somehow operate at two levels: the close examination of the local experience of particular women and the simultaneous examination of the extralocal, institutional world through which their world is organized. In order to accomplish this, institutional ethnography focuses on the study of the way everyday life is coordinated through “textually mediated” practices: the use of written documents, standardized bureaucratic categories, and formalized relationships (Smith 1990).

Institutional paperwork translates the specific details of locally lived experience into a standardized format that enables institutions to apply the institution’s understandings, regulations, and operations in different local contexts. The study of these textual practices reveal otherwise inaccessible processes that formal organizations depend on: their formality, their organized character, and their ongoing methods of coordination, etc. An institutional ethnography often begins by following the paper trail that emerges when people interact with institutions: how does a person formulate a narrative about what has happened to him or her in a way that the institution will recognize? How is it translated into the abstract categories on a form or screen that enable an institutional response to be initiated? What is preserved in the translation to paperwork and what is lost? Where do the forms go next? What series of “processing interchanges” take place between different departments or agencies through the circulation of paperwork? How is the paperwork modified and made actionable through this process (e.g., an incident report, warrant request, motion for continuance)?

Smith’s insight is that the shift from the locally lived experience of individuals to the extralocal world of institutions is nothing short of a radical metaphysical shift in worldview. In institutional worlds, meanings are detached from directly lived processes and reconstituted in an organizational time, space, and consciousness that is fundamentally different from their original reference point. For example, the crisis that has led to a loss of employment becomes a set of anonymous criteria that determines one’s eligibility for Employment Insurance.

The unique life of a disabled child becomes a checklist that determines the content of an “individual education program” in the school system, which in turn determines whether funding will be provided for special aid assistants or therapeutic programs. Institutions put together a picture of what has occurred that is not at all the same as what was lived. The ubiquitous but obscure mechanism by which this is accomplished is textually mediated communication . The goal of institutional ethnography therefore is to making “documents or texts visible as constituents of social relations” (Smith 1990). Institutional ethnography is very useful as a critical research strategy. It is an analysis that gives grassroots organizations, or those excluded from the circles of institutional power, a detailed knowledge of how the administrative apparatuses actually work. This type of research enables more effective actions and strategies for change to be pursued.

The Case Study

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

However, case studies are useful when the single case is unique. In these instances, a single case study can add tremendous knowledge to a certain discipline. For example, a feral child, also called “wild child,” is one who grows up isolated from human beings. Feral children grow up without social contact and language, elements crucial to a “civilized” child’s development. These children mimic the behaviours and movements of animals, and often invent their own language. There are only about 100 cases of “feral children” in the world. As you may imagine, a feral child is a subject of great interest to researchers. Feral children provide unique information about child development because they have grown up outside of the parameters of “normal” child development. And since there are very few feral children, the case study is the most appropriate method for researchers to use in studying the subject. At age three, a Ukrainian girl named Oxana Malaya suffered severe parental neglect. She lived in a shed with dogs, eating raw meat and scraps. Five years later, a neighbour 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 behaviours, but she never became fully socialized. She has been designated as unable to support herself and now lives in a mental institution (Grice 2006). Case studies like this offer a way for sociologists to collect data that may not be collectable by any other method.

Secondary Data or Textual Analysis

While sociologists often engage in original research studies, they also contribute knowledge to the discipline through secondary data or textual analysis . Secondary data do not result from firsthand research collected from primary sources, but are drawn from the already-completed work of other researchers. Sociologists might study texts written by historians, economists, teachers, or early sociologists. They might search through periodicals, newspapers, or magazines from any period in history. Using available information not only saves time and money, but it can 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 behaviour 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 Facebook.

One methodology that sociologists employ with secondary data is content analysis. Content analysis is a quantitative approach to textual research that selects an item of textual content (i.e., a variable) that can be reliably and consistently observed and coded, and surveys the prevalence of that item in a sample of textual output. For example, Gilens (1996) wanted to find out why survey research shows that the American public substantially exaggerates the percentage of African Americans among the poor. He examined whether media representations influence public perceptions and did a content analysis of photographs of poor people in American news magazines. He coded and then systematically recorded incidences of three variables: (1) Race: white, black, indeterminate; (2) Employed: working, not working; and (3) Age. Gilens discovered that not only were African Americans markedly overrepresented in news magazine photographs of poverty, but that the photos also tended to underrepresent “sympathetic” subgroups of the poor—the elderly and working poor—while overrepresenting less sympathetic groups—unemployed, working age adults. Gilens concluded that by providing a distorted representation of poverty, U.S. news magazines “reinforce negative stereotypes of blacks as mired in poverty and contribute to the belief that poverty is primarily a ‘black problem’” (1996).

Social scientists also learn by analyzing the research of a variety of agencies. Governmental departments and global groups, like Statistics Canada or the World Health Organization, publish studies with findings that are useful to sociologists. A public statistic that measures inequality of incomes might be useful for studying who benefited and who lost as a result of the 2008 recession; a demographic profile of different immigrant groups might be compared with data on unemployment to examine the reasons why immigration settlement programs are more effective for some communities than for others. One of the advantages of secondary data is that it is nonreactive (or unobtrusive) research, meaning that it does not include direct contact with subjects and will not alter or influence people’s behaviours. 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 needs to do some legwork to track them down and gain access to records. In some cases there is no way to verify the accuracy of existing data. It is easy, for example, to count how many drunk drivers are pulled over by the police. But how many are not? While it’s possible to discover the percentage of teenage students who drop out of high school, it might be more challenging to determine the number who return to school or get their GED later.

Another problem arises when data are unavailable in the exact form needed or do not include the precise angle the researcher seeks. For example, the salaries paid to professors at universities is often published. But the separate figures do not necessarily reveal how long it took each professor to reach the salary range, what their educational backgrounds are, or how long they have been teaching. In his research, sociologist Richard Sennett uses secondary data to shed light on current trends. In The Craftsman (2008), he studied the human desire to perform quality work, from carpentry to computer programming. He studied the line between craftsmanship and skilled manual labour. He also studied changes in attitudes toward craftsmanship that occurred not only during and after the Industrial Revolution, but also in ancient times. Obviously, he could not have firsthand knowledge of periods of ancient history; he had to rely on secondary data for part of his study. When conducting secondary data or textual analysis, it is important to consider the date of publication of an existing source and to take into account attitudes and common cultural ideals that may have influenced the research. For example, Robert S. Lynd and Helen Merrell Lynd gathered research for their book Middletown: A Study in Modern American Culture in the 1920s. Attitudes and cultural norms were vastly different then than they are now. Beliefs about gender roles, race, education, and work have changed significantly since then. At the time, the study’s purpose was to reveal the truth about small American communities. Today, it is an illustration of 1920s attitudes and values.

Sociologists conduct studies to shed light on human behaviours. Knowledge is a powerful tool that can be used toward positive change. And while a sociologist’s goal is often simply to uncover knowledge rather than to spur action, many people use sociological studies to help improve people’s lives. In that sense, conducting a sociological study comes with a tremendous amount of responsibility. Like any researchers, sociologists must consider their ethical obligation to avoid harming subjects or groups while conducting their research. The Canadian Sociological Association, or CSA, is the major professional organization of sociologists in Canada. The CSA is a great resource for students of sociology as well.

The CSA maintains a code of ethics —formal guidelines for conducting sociological research—consisting of principles and ethical standards to be used in the discipline. It also describes procedures for filing, investigating, and resolving complaints of unethical conduct. These are in line with the Tri-Council Policy Statement on Ethical Conduct for Research Involving Humans (2010) , which applies to any research with human subjects funded by one of the three federal research agencies – the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Social Sciences and Humanities Research Council of Canada (SSHRC).

Practising sociologists and sociology students have a lot to consider. Some of the guidelines state that researchers must try to be skillful and fair-minded in their work, especially as it relates to their human subjects. Researchers must obtain participants’ informed consent, and inform subjects of the responsibilities and risks of research before they agree to participate. During a study, sociologists must ensure the safety of participants and immediately stop work if a subject becomes potentially endangered on any level. Researchers are required to protect the privacy of research participants whenever possible. Even if pressured by authorities, such as police or courts, researchers are not ethically allowed to release confidential information. Researchers must make results available to other sociologists, must make public all sources of financial support, and must not accept funding from any organization that might cause a conflict of interest or seek to influence the research results for its own purposes. The CSA’s ethical considerations shape not only the study but also the publication of results.

Pioneer German sociologist Max Weber (1864–1920) identified another crucial ethical concern. Weber understood that personal values could distort the framework for disclosing study results. While he accepted that some aspects of research design might be influenced by personal values, he declared it was entirely inappropriate to allow personal values to shape the interpretation of the responses. Sociologists, he stated, must establish value neutrality , a practice of remaining impartial, without bias or judgment, during the course of a study and in publishing results (1949). Sociologists are obligated to disclose research findings without omitting or distorting significant data. Value neutrality does not mean having no opinions. It means striving to overcome personal biases, particularly subconscious biases, when analyzing data. It means avoiding skewing data in order to match a predetermined outcome that aligns with a particular agenda, such as a political or moral point of view. Investigators are ethically obligated to report results, even when they contradict personal views, predicted outcomes, or widely accepted beliefs. Is value neutrality possible?

Many sociologists believe it is impossible to set aside personal values and retain complete objectivity. Individuals inevitably see the world from a partial perspective. Their interests are central to the types of topics they choose, the types of questions they ask, the way they frame their research and the research methodologies they select to pursue it. Moreover, facts, however objective, do not exist in a void. As we noted in Chapter 1, Jürgen Habermas (1972) argues that sociological research has built-in interests quite apart from the personal biases of individual researchers. Positivist sociology has an interest in pursuing types of knowledge that are useful for controlling and administering social life. Interpretive sociology has an interest in pursuing types of knowledge that promote greater mutual understanding and the possibility of consensus among members of society. Critical sociology has an interest in types of knowledge that enable emancipation from power relations and forms of domination in society. In Habermas’ view, sociological knowledge is not disinterested knowledge. This does not discredit the results of sociological research but allows readers to take into account the perspective of the research when judging the validity and applicability of its outcomes.

case study in-depth analysis of a single event, situation, or individual

code of ethics a set of guidelines that the Canadian Sociological Association has established to foster ethical research and professionally responsible scholarship in sociology

content analysis a quantitative approach to textual research that selects an item of textual content that can be reliably and consistently observed and coded, and surveys the prevalence of that item in a sample of textual output

control group an experimental group that is not exposed to the independent variable

correlation when a change in one variable coincides with a change in another variable, but does not necessarily indicate causation

d ependent variable variable changed by another variable

empirical evidence evidence corroborated by direct experience and/or observation

ethnography observing a complete social setting and all that it entails

experiment the testing of a hypothesis under controlled conditions

field research gathering data from a natural environment without doing a lab experiment or a survey

Hawthorne effect when study subjects behave in a certain manner due to their awareness of being observed by a researcher

hypothesis an educated guess with predicted outcomes about the relationship between two or more variables hypothetico-deductive methodologies methodologies based on deducing a prediction from a hypothesis and testing the validity of the hypothesis by whether it correctly predicts observations

independent variable variable that causes change in a dependent variable

inductive approach methodologies that derive a general statement from a series of empirical observations

institutional ethnography the study of the way everyday life is coordinated through institutional, textually mediated practices

interpretive approach a sociological research approach that seeks in-depth understanding of a topic or subject through observation or interaction

interview a one-on-one conversation between a researcher and a subject

literature review a scholarly research step that entails identifying and studying all existing studies on a topic to create a basis for new research

nonreactive unobtrusive research that does not include direct contact with subjects and will not alter or influence people’s behaviours

operational definitions specific explanations of abstract concepts that a researcher plans to study

participant observation immersion by a researcher in a group or social setting in order to make observations from an “insider” perspective

population a defined group serving as the subject of a study

positivist approach a research approach based on the natural science model of knowledge utilizing a hypothetico-deductive formulation of the research question and quantitative data

primary data data collected directly from firsthand experience

qualitative data information based on interpretations of meaning

quantitative data information from research collected in numerical form that can be counted

random sample a study’s participants being randomly selected to serve as a representation of a larger population reliability a measure of a study’s consistency that considers how likely results are to be replicated if a study is reproduced research design a detailed, systematic method for conducting research and obtaining data

sample small, manageable number of subjects that represent the population

scientific method a systematic research method that involves asking a question, researching existing sources, forming a hypothesis, designing and conducting a study, and drawing conclusions

secondary data analysis using data collected by others but applying new interpretations

surveys data collections from subjects who respond to a series of questions about behaviours and opinions, often in the form of a questionnaire

textually mediated communication institutional forms of communication that rely on written documents, texts, and paperwork

validity the degree to which a sociological measure accurately reflects the topic of study

value neutrality a practice of remaining impartial, without bias or judgment during the course of a study and in publishing results

variable a characteristic or measure of a social phenomenon that can take different values

Section Summary

2.1. Approaches to Sociological Research Using the scientific method, a researcher conducts a study in five phases: asking a question, researching existing sources, formulating a hypothesis, conducting a study, and drawing conclusions. The scientific method is useful in that it provides a clear method of organizing a study. Some sociologists conduct scientific research through a positivist framework utilizing a hypothetico-deductive formulation of the research question. Other sociologists conduct scientific research by employing an interpretive framework that is often inductive in nature. Scientific sociological studies often observe relationships between variables. Researchers study how one variable changes another. Prior to conducting a study, researchers are careful to apply operational definitions to their terms and to establish dependent and independent variables.

2.2. Research Methods Sociological research is a fairly complex process. As you can see, a lot goes into even a simple research design. There are many steps and much to consider when collecting data on human behaviour, as well as in interpreting and analyzing data in order to form conclusive results. Sociologists use scientific methods for good reason. The scientific method provides a system of organization that helps researchers plan and conduct the study while ensuring that data and results are reliable, valid, and objective. The many methods available to researchers—including experiments, surveys, field studies, and secondary data analysis—all come with advantages and disadvantages. The strength of a study can depend on the choice and implementation of the appropriate method of gathering research. Depending on the topic, a study might use a single method or a combination of methods. It is important to plan a research design before undertaking a study. The information gathered may in itself be surprising, and the study design should provide a solid framework in which to analyze predicted and unpredicted data.

Table 2.2. Main Sociological Research Methods. Sociological research methods have advantages and disadvantages.

2.3. Ethical Concerns Sociologists and sociology students must take ethical responsibility for any study they conduct. They must first and foremost guarantee the safety of their participants. Whenever possible, they must ensure that participants have been fully informed before consenting to be part of a study. The CSA (Canadian Sociological Association) maintains ethical guidelines that sociologists must take into account as they conduct research. The guidelines address conducting studies, properly using existing sources, accepting funding, and publishing results. Sociologists must try to maintain value neutrality. They must gather and analyze data objectively, setting aside their personal preferences, beliefs, and opinions. They must report findings accurately, even if they contradict personal convictions.

Section Quiz

2.1. Approaches to Sociological Research 1. A measurement is considered ______ if it actually measures what it is intended to measure, according to the topic of the study.

sociological
quantitative

2. Sociological studies test relationships in which change in one ______ causes change in another.

test subject
operational definition

3. In a study, a group of 10-year-old boys are fed doughnuts every morning for a week and then weighed to see how much weight they gained. Which factor is the dependent variable?

the doughnuts
the duration of a week
the weight gained

4. Which statement provides the best operational definition of “childhood obesity”?

children who eat unhealthy foods and spend too much time watching television and playing video games
a distressing trend that can lead to health issues including type 2 diabetes and heart disease
body weight at least 20 percent higher than a healthy weight for a child of that height
the tendency of children today to weigh more than children of earlier generations

2.2. Research Methods 5. Which materials are considered secondary data?

photos and letters given to you by another person
books and articles written by other authors about their studies
information that you have gathered and now have included in your results
responses from participants whom you both surveyed and interviewed

6. What method did Andrew Ivsins use to study crack users in Victoria?

field research
content analysis

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

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

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

secondary data
participant observation

9. Which research approach is best suited to the positivist approach?

questionnaire
ethnography
secondary data analysis

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

ethnography isn’t based on hypothesis testing
ethnography subjects are unaware they’re being studied
ethnographic studies always involve minority ethnic groups
there is no difference

11. Which best describes the results of a case study?

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

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

nonreactive
nonparticipatory
nonrestrictive
nonconfrontive

2.3. Ethical Concerns 13. Which statement illustrates value neutrality?

Obesity in children is obviously a result of parental neglect and, therefore, schools should take a greater role to prevent it.
In 2003, states like Arkansas adopted laws requiring elementary schools to remove soft drink vending machines from schools.
Merely restricting children’s access to junk food at school is not enough to prevent obesity.
Physical activity and healthy eating are a fundamental part of a child’s education.

14. Which person or organization defined the concept of value neutrality?

Institutional Review Board (IRB)
Peter Rossi
Canadian Sociological Association (CSA)

15. To study the effects of fast food on lifestyle, health, and culture, from which group would a researcher ethically be unable to accept funding?

a fast-food restaurant
a nonprofit health organization
a private hospital
a governmental agency like Health and Social Services

Short Answer

Write down the first three steps of the scientific method. Think of a broad topic that you are interested in and which would make a good sociological study—for example, ethnic diversity in a college, homecoming rituals, athletic scholarships, or teen driving. Now, take that topic through the first steps of the process. For each step, write a few sentences or a paragraph: 1) Ask a question about the topic. 2) Do some research and write down the titles of some articles or books you’d want to read about the topic. 3) Formulate a hypothesis.

2.2.Research Methods

What type of data do surveys gather? For what topics would surveys be the best research method? What drawbacks might you expect to encounter when using a survey? To explore further, ask a research question and write a hypothesis. Then create a survey of about six questions relevant to the topic. Provide a rationale for each question. Now define your population and create a plan for recruiting a random sample and administering the survey.
Imagine you are about to do field research in a specific place for a set time. Instead of thinking about the topic of study itself, consider how you, as the researcher, will have to prepare for the study. What personal, social, and physical sacrifices will you have to make? How will you manage your personal effects? What organizational equipment and systems will you need to collect the data?
Create a brief research design about a topic in which you are passionately interested. Now write a letter to a philanthropic or grant organization requesting funding for your study. How can you describe the project in a convincing yet realistic and objective way? Explain how the results of your study will be a relevant contribution to the body of sociological work already in existence.
Why do you think the CSA crafted such a detailed set of ethical principles? What type of study could put human participants at risk? Think of some examples of studies that might be harmful. Do you think that, in the name of sociology, some researchers might be tempted to cross boundaries that threaten human rights? Why?
Would you willingly participate in a sociological study that could potentially put your health and safety at risk, but had the potential to help thousands or even hundreds of thousands of people? For example, would you participate in a study of a new drug that could cure diabetes or cancer, even if it meant great inconvenience and physical discomfort for you or possible permanent damage?

Further Research

2.1. Approaches to Sociological Research For a historical perspective on the scientific method in sociology, read “The Elements of Scientific Method in Sociology” by F. Stuart Chapin (1914) in the American Journal of Sociology : http://openstaxcollege.org/l/Method-in-Sociology

2.2. Research Methods For information on current real-world sociology experiments, visit: http://openstaxcollege.org/l/Sociology-Experiments

2.3. Ethical Concerns Founded in 1966, the CSA is a nonprofit organization located in Montreal, Quebec, with a membership of 900 researchers, faculty members, students, and practitioners of sociology. Its mission is to promote “research, publication and teaching in Sociology in Canada.” Learn more about this organization at http://www.csa-scs.ca/ .

2.1. Approaches to Sociological Research Merton, Robert. 1968 [1949]. Social Theory and Social Structure . New York: Free Press.

2.2. Research Methods Forget, Evelyn. 2011. “The Town with no Poverty: Using Health Administration Data to Revisit Outcomes of a Canadian Guaranteed Annual Income Field Experiement.” Canadian Public Policy . 37(3): 282-305.

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

Gilens, Martin. 1996. “Race and Poverty in America: Public Misperceptions and the American News Media.” The Public Opinion Quarterly 60(4):515–541. Grice, Elizabeth. 2006. “Cry of an Enfant Sauvage.” The Telegraph . Retrieved July 20, 2011 ( http://www.telegraph.co.uk/culture/tvandradio/3653890/Cry-of-an-enfant-sauvage.html ).

Haney, C., Banks, W. C., and Zimbardo, P. G. 1973. “Interpersonal Dynamics in a Simulated Prison.” International Journal of Criminology and Penology 1:69–97.

Ivsins, A.K. 2010. “’Got a pipe?’ The social dimensions and functions of crack pipe sharing among crack users in Victoria, BC.” MA thesis, Department of Sociology, University of Victoria. Retrieved February 14, 2014 ( http://dspace.library.uvic.ca:8080/bitstream/handle/1828/3044/Full%20thesis%20Ivsins_CPS.2010_FINAL.pdf?sequence=1 )

Lowrey, Annie. 2013. “Switzerland’s Proposal to Pay People for Being Alive.” The New York Times Magazine. Retrieved February 17, 2014 ( http://www.nytimes.com/2013/11/17/magazine/switzerlands-proposal-to-pay-people-for-being-alive.html?pagewanted=1&_r=2 ).

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

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

Marshall, B.D.L., M.J. Milloy, E. Wood, J.S.G. Montaner, and T. Kerr. 2011. “Reduction in overdose mortality after the opening of North America’s first medically supervised safer injecting facility: A retrospective population-based study.” Lancet 377(9775):1429–1437.

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

Sennett, Richard. 2008. The Craftsman . New Haven, CT: Yale University Press. Retrieved July 18, 2011 ( http://www.richardsennett.com/site/SENN/Templates/General.aspx?pageid=40 ).

Smith, Dorothy. 1990. “Textually Mediated Social Organization” Pp. 209–234 in Texts, Facts and Femininity: Exploring the Relations of Ruling. London: Routledge.

Smith, Dorothy. 2005. Institutional Ethnography: A Sociology for People. Toronto: Altamira Press.

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

Wood, E., M.W. Tyndall, J.S. Montaner, and T. Kerr. 2006. “Summary of findings from the evaluation of a pilot medically supervised safer injecting facility.” Canadian Medical Association Journal 175(11):1399–1404.

2.3. Ethical Concerns Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, and Social Sciences and Humanities Research Council of Canada. 2010. Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans . Retrieved February 15, 2014 ( http://www.pre.ethics.gc.ca/pdf/eng/tcps2/TCPS_2_FINAL_Web.pdf ).

Canadian Sociological Association. 2012. Statement of Professional Ethics . Retrieved February 15, 2014 ( http://www.csa-scs.ca/files/www/csa/documents/codeofethics/2012Ethics.pdf ).

Habermas, Jürgen. 1972. Knowledge and Human Interests. Boston: Beacon Press

Weber, Max. 1949. Methodology of the Social Sciences . Translated by H. Shils and E. Finch. Glencoe, IL: Free Press.

Solutions to Section Quiz

1. C | 2. C | 3. D | 4. C | 5. B | 6. C | 7. D | 8. C | 9. A | 10. A | 11. B | 12. A | 13. B | 14. D | 15. A

Image Attributions

Figure 2.3. Didn’t they abolish the mandatory census? Then what’s this? by Khosrow Ebrahimpour ( https://www.flickr.com/photos/xosrow/5685345306/in/photolist-9EoT5W-ow4tdu-oeGG4m-oeMEcK-oy2jM2-ovJC8w-oePSRQ-9J2V24-of1Hnu-of243u-of2K2B-of2FHn-owiBSA-owtQN3-of1Ktd-oitLSC-oeVJte-oep8KX-ovEz8w-oeohhF-oew5Xb-oewdWN-owavju-oeMEnV-oweLcN-ovEPGG-ovAQUX-oeo2eL-oeo3Fd-oeoqxh-oxCKnv-ovEzA5-oewFHa-ovHRSz-ow8QtY-oeQY6Y-oeZReR-oeQmHw-oeKXid-oeQLKa-oy6fNT-ow4sVT-oeQMQq-oeQPPr-oeQYbL-ow8hS1-ow4n8v-owiPKS-oeQF41-oeiH5z ) used under CC BY 2.0 ( https://creativecommons.org/licenses/by/2.0/ )

Figure 2.4. Dauphin Canadian Northern Railway Station by Bobak Ha’Eri ( http://commons.wikimedia.org/wiki/File:2009-0520-TrainStation-Dauphin.jpg ) used under CC BY 3.0 license ( http://creativecommons.org/licenses/by/3.0/deed.en )

Figure 2.5. Punk Band by Patrick ( https://www.flickr.com/photos/lordkhan/181561343/in/photostream/ ) used under CC BY 2.0 ( https://creativecommons.org/licenses/by/2.0/ )

Figure 2.6. Crack Cocaine Smokers in Vancouver Alleyway ( http://commons.wikimedia.org/wiki/File:Crack_Cocaine_Smokers_in_Vancouver_Alleyway.jpg ) is in the public domain ( http://en.wikipedia.org/wiki/Public_domain )

Figure 2.8. Muncie, Indiana High School: 1917 by Don O’Brien ( https://www.flickr.com/photos/dok1/3694125269/ ) used under CC BY 2.0 license ( https://creativecommons.org/licenses/by/2.0/ )

Introduction to Sociology - 1st Canadian Edition Copyright © 2014 by William Little and Ron McGivern is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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Crafting and Testing Hypotheses in Sociology

Have you ever wondered how social scientists draw conclusions about human behavior? The answers lie in the meticulous process of crafting and testing hypotheses . In sociology , this process is a critical bridge between theoretical understanding and empirical evidence . Let’s explore how sociologists move from abstract theories to concrete research findings through the formulation and examination of hypotheses.

From theory to testable propositions
Characteristics of a good hypothesis
The importance of hypotheses in sociology
Direction for research
Bridge between theory and observation
Basis for scientific inquiry
Challenges of hypothesis testing in sociology
Complexity of social phenomena
Issues with operationalization
Control of extraneous variables
Testing hypotheses through empirical evidence
Quantitative methods
Qualitative methods
Mixed methods
Interpreting results and refining theories

From theory to testable propositions 🔗

Every research journey in sociology begins with a theory – a set of interrelated concepts and propositions that explain various aspects of social life. But how do these broad theories translate into something we can actually test? The answer is the formulation of hypotheses. A hypothesis is essentially a specific, testable prediction derived from a theory. It proposes a relationship between two or more variables and sets the stage for empirical investigation.

Characteristics of a good hypothesis 🔗

Clarity: It must be clear and precise, leaving no ambiguity about what is being tested.
Testability: It must be capable of being confirmed or refuted through observation or experimentation.
Theoretical relevance: It should be grounded in and contribute to the development of sociological theory.

The importance of hypotheses in sociology 🔗

In sociology, hypotheses serve as a navigational tool, guiding researchers through the complex social world. They are crucial for several reasons:

Direction for research 🔗

By stating what we expect to find, hypotheses provide a clear direction for research. They help researchers choose appropriate research methods and design their studies in ways that will yield meaningful results.

Bridge between theory and observation 🔗

Hypotheses act as a conduit between abstract theory and concrete observation. They translate lofty theoretical concepts into tangible entities that can be observed and measured in the real world.

Basis for scientific inquiry 🔗

Scientific inquiry in sociology relies on the empirical verification or falsification of hypotheses. This process is fundamental to the accumulation of knowledge and the advancement of the discipline.

Challenges of hypothesis testing in sociology 🔗

While testing hypotheses is a cornerstone of sociological research, it comes with its own set of challenges:

Complexity of social phenomena 🔗

Social phenomena are often complex and multifaceted, making it difficult to isolate variables and establish clear-cut relationships.

Issues with operationalization 🔗

Translating theoretical concepts into measurable variables (operationalization) can be tricky. Sociologists must ensure that the measures they use accurately capture the essence of the concepts in question.

Control of extraneous variables 🔗

In laboratory sciences, researchers can control extraneous variables with relative ease. In sociology, however, the real-world setting introduces numerous uncontrollable factors that can impact results.

Testing hypotheses through empirical evidence 🔗

Once a hypothesis is formed, the next step is to test it through empirical evidence. This involves collecting data from the real world and analyzing it to see if it supports the hypothesis. The methods used can vary greatly depending on the nature of the hypothesis and the research question.

Quantitative methods 🔗

Quantitative research methods, such as surveys and experiments, allow for the collection of numerical data that can be used to test hypotheses statistically.

Qualitative methods 🔗

Qualitative methods, like interviews and participant observation, provide rich, detailed data that can offer deeper insights into social processes and the validity of hypotheses.

Mixed methods 🔗

Increasingly, sociologists are combining quantitative and qualitative methods to provide a more comprehensive test of their hypotheses.

Interpreting results and refining theories 🔗

The outcomes of hypothesis testing are not just about proving a hypothesis right or wrong. They are about learning more about the social world and refining our theoretical understanding. If a hypothesis is supported by the data, it provides evidence for the theory from which it was derived. If not, it challenges researchers to rethink their theoretical assumptions.

Conclusion 🔗

In this exploration of crafting and testing hypotheses in sociology, we’ve seen how sociologists transform broad theories into specific, testable statements. We’ve delved into the importance of hypotheses in guiding research and bridging the gap between theory and empirical observation. We’ve also addressed the challenges inherent in testing hypotheses in the complex realm of social sciences and the various methods employed to gather empirical evidence.

What do you think? How do you think the complexity of human behavior impacts the formulation and testing of sociological hypotheses? Can you think of a recent sociological study that impressed you with its hypothesis testing? Share your thoughts and let’s discuss the intricate dance between theory and evidence in sociology.

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Research Methodologies & Methods

1 Logic of Inquiry in Social Research

A Science of Society
Comte’s Ideas on the Nature of Sociology
Observation in Social Sciences
Logical Understanding of Social Reality

2 Empirical Approach

Empirical Approach
Rules of Data Collection
Cultural Relativism
Problems Encountered in Data Collection
Difference between Common Sense and Science
What is Ethical?
What is Normal?
Understanding the Data Collected
Managing Diversities in Social Research
Problematising the Object of Study
Conclusion: Return to Good Old Empirical Approach

3 Diverse Logic of Theory Building

Concern with Theory in Sociology
Concepts: Basic Elements of Theories
Why Do We Need Theory?
Hypothesis Description and Experimentation
Controlled Experiment
Designing an Experiment
How to Test a Hypothesis
Sensitivity to Alternative Explanations
Rival Hypothesis Construction
The Use and Scope of Social Science Theory
Theory Building and Researcher’s Values

4 Theoretical Analysis

Premises of Evolutionary and Functional Theories
Critique of Evolutionary and Functional Theories
Turning away from Functionalism
What after Functionalism
Post-modernism
Trends other than Post-modernism

5 Issues of Epistemology

Some Major Concerns of Epistemology
Rationalism
Phenomenology: Bracketing Experience

6 Philosophy of Social Science

Foundations of Science
Science, Modernity, and Sociology
Rethinking Science
Crisis in Foundation

7 Positivism and its Critique

Heroic Science and Origin of Positivism
Early Positivism
Consolidation of Positivism
Critiques of Positivism

8 Hermeneutics

Methodological Disputes in the Social Sciences
Tracing the History of Hermeneutics
Hermeneutics and Sociology
Philosophical Hermeneutics
The Hermeneutics of Suspicion
Phenomenology and Hermeneutics

9 Comparative Method

Relationship with Common Sense; Interrogating Ideological Location
The Historical Context
Elements of the Comparative Approach

10 Feminist Approach

Features of the Feminist Method
Feminist Methods adopt the Reflexive Stance
Feminist Discourse in India

11 Participatory Method

Delineation of Key Features

12 Types of Research

Basic and Applied Research
Descriptive and Analytical Research
Empirical and Exploratory Research
Quantitative and Qualitative Research
Explanatory (Causal) and Longitudinal Research
Experimental and Evaluative Research
Participatory Action Research

13 Methods of Research

Evolutionary Method
Comparative Method
Historical Method
Personal Documents

14 Elements of Research Design

Structuring the Research Process

15 Sampling Methods and Estimation of Sample Size

Classification of Sampling Methods
Sample Size

16 Measures of Central Tendency

Relationship between Mean, Mode, and Median
Choosing a Measure of Central Tendency

17 Measures of Dispersion and Variability

The Variance
The Standard Deviation
Coefficient of Variation

18 Statistical Inference- Tests of Hypothesis

Statistical Inference
Tests of Significance

19 Correlation and Regression

Correlation
Method of Calculating Correlation of Ungrouped Data
Method Of Calculating Correlation Of Grouped Data

20 Survey Method

Rationale of Survey Research Method
History of Survey Research
Defining Survey Research
Sampling and Survey Techniques
Operationalising Survey Research Tools
Advantages and Weaknesses of Survey Research

21 Survey Design

Preliminary Considerations
Stages / Phases in Survey Research
Formulation of Research Question
Survey Research Designs
Sampling Design

22 Survey Instrumentation

Techniques/Instruments for Data Collection
Questionnaire Construction
Issues in Designing a Survey Instrument

23 Survey Execution and Data Analysis

Problems and Issues in Executing Survey Research
Data Analysis
Ethical Issues in Survey Research

24 Field Research – I

History of Field Research
Ethnography
Theme Selection
Gaining Entry in the Field
Key Informants
Participant Observation

25 Field Research – II

Interview its Types and Process
Feminist and Postmodernist Perspectives on Interviewing
Narrative Analysis
Interpretation
Case Study and its Types
Life Histories
Oral History
PRA and RRA Techniques

26 Reliability, Validity and Triangulation

Concepts of Reliability and Validity
Three Types of “Reliability”
Working Towards Reliability
Procedural Validity
Field Research as a Validity Check
Method Appropriate Criteria
Triangulation
Ethical Considerations in Qualitative Research

27 Qualitative Data Formatting and Processing

Qualitative Data Processing and Analysis
Description
Classification
Making Connections
Theoretical Coding
Qualitative Content Analysis

28 Writing up Qualitative Data

Problems of Writing Up
Grasp and Then Render
“Writing Down” and “Writing Up”
Write Early
Writing Styles
First Draft

29 Using Internet and Word Processor

What is Internet and How Does it Work?
Internet Services
Searching on the Web: Search Engines
Accessing and Using Online Information
Online Journals and Texts
Statistical Reference Sites
Data Sources
Uses of E-mail Services in Research

30 Using SPSS for Data Analysis Contents

Introduction
Starting and Exiting SPSS
Creating a Data File
Univariate Analysis
Bivariate Analysis

31 Using SPSS in Report Writing

Why to Use SPSS
Working with SPSS Output
Copying SPSS Output to MS Word Document

32 Tabulation and Graphic Presentation- Case Studies

Structure for Presentation of Research Findings
Data Presentation: Editing, Coding, and Transcribing
Case Studies
Qualitative Data Analysis and Presentation through Software
Types of ICT used for Research

33 Guidelines to Research Project Assignment

Overview of Research Methodologies and Methods (MSO 002)
Research Project Objectives
Preparation for Research Project
Stages of the Research Project
Supervision During the Research Project
Submission of Research Project
Methodology for Evaluating Research Project

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10 Research questions and testing hypotheses

Soumyajit Patra

This module will teach you about the importance of research questions and hypothesis in social science research. At the end of this module, you will find some digital resources and a bibliography for your further study.

Introduction

Knowledge is contextual and much of it depends on agreement. It is contextual as it has a time-space dimension – knowledge varies from time to time, region to region and from society to society. Take the example of the imperishable plastic bags. These were thought to be very useful even a few years back. But today its harmful effects on environment are known to all and we have started thinking the other way round. The old knowledge has been replaced by the new one.

Knowledge is a matter of agreement as well. A significant portion of what we know is a matter of agreement and belief. Little of it is based on our personal experience and discovery. As we grow up through the process of socialization, we learn to accept (to take it for granted) what everybody around us already knows. If we start questing everything we are taught and try to test instead of accepting what is given, life would be impossible to bear with (Babbie 2004: 5). We have to learn where and how to raise ‘questions’ in our everyday life. This is equally true in case of scientific knowledge. We need to clarify, in this context, the distinction between scientific knowledge and common sense as well as the purpose of scientific research.

2.1 Scientific Knowledge and Common Sense

The distinction between scientific knowledge and common sense would be relevant here. The former is based on logic and is verifiable. The foundation of scientific knowledge is systematic and critical questioning, observation and reasoning. But as Majumdar (2005: 10) defines it, common sense does not ‘take us beyond what are observable. It limits us to events and conclusions that are widely believed as true.’ So, for obvious reasons, knowledge gathered through scientific inquiries may oppose the common sense. Social scientists often emphasize upon the explanatory nature of science that, to a large extent, involves refined and fundamental questioning of the existing knowledge.

2.2 Scientific Research

The purpose of scientific research is to modify or contribute to the existing stock of knowledge through proper inquiry directed by properly framed research questions and reasoning. It is widely believed that there is no ‘absolute’ in science. Scientific knowledge is inclusive and is always open to further investigation and revision. In the words of Das (2004: 21), ‘research may be described as systematic and critical investigation of phenomena towards increasing the stream of knowledge.’ In a similar way Majumdar (2005: 25) writes: ‘The obvious function of research is to add new knowledge to our existing store. Therefore, scientific research is a cumulative process. Since new insights are obtained into the problem investigated, we need to review or modify our earlier beliefs and postulates’.

Learning Outcome

This Module will help you understand different types of research questions and hypotheses that give rise to reliable scientific knowledge. You will also learn how to formulate them.

What are Research Questions?

Researchers have many queries and curiosities in their mind and they try to reach at some satisfactory and valid answers and solutions of these after a careful and meticulous analysis of the relevant data collected through appropriate methods. Research questions are specific questions framed during the initial phase of the research, the answers of which a researcher tries to find out. The research questions set the direction of the entire research process. We can argue following Bryman (2012: 9) that

“A research question is a question that provides an explicit statement of what it is the researcher wants to know about. A research purpose can be presented as a statement … but a question forces the researcher to be more explicit about what is to be investigated”.

4.1 How can Research Questions be framed?

Mere selection of research topic does not direct a researcher to the actual methods to be followed and the specific areas to look at for collecting data. As Patrick White (2009: 33) has argued,

“It is usually much easier to decide upon a topic or area of interest than it is to produce a set of well-structured questions”.

It may be worth noting here that research involves certain definite stages and a researcher starts framing research questions and hypothesis after selection of topic and review of existing literature. The following diagram shows the stages of research before and after the research questions:

Selection of research topic, which is the elementary task of any research, is, however, not an easy task. One has to go through the existing literatures to find out gaps in research. Indian Council of Social Science Research (ICSSR) however publishes trend reports of research done on important themes in sociology and makes us aware of what has so far been done and what needs to be done (Singh 2013). Despite such literature, a researcher has to be very precise in focusing his or her attention while framing research questions. When, after going through the existing literatures on the concerned area, the researcher finally specifies the objectives of the study, he or she is better able to frame his or her research questions. Research questions can also be framed on the basis common sense.

De Vaus (2002) has provided us with some examples that can guide us in developing research questions particularly for descriptive researches. These are:
What is the time frame of our interest?
What is the geographical location of our interest?
Is our interest in broad description or in comparing and specifying patterns for subgroups?
What aspect of the topic are we interested in?
How abstract is our interest?

The research questions of explanatory studies mostly focus on delving the causal relationships between different variables. Naturally the ‘why-questions’ are more important in explanatory researches than the ‘what-questions’, which forms the basis of descriptive studies. According to Babbie (2008: 99), descriptive studies answer questions of what, where, when and how, exploratory studies questions of why? However, the suggestions of Ramkrishna Mukherjee (1993) can be helpful for formulating research questions for any type research in social sciences.

Calling his approach as ‘inductive-inferential method’ Mukherjee ( Ibid .) argues that a social scientist should try to find out the answer of the following questions:

What is it?

What will it be?

What should it be?

For obvious reasons when a researcher deals with the first two questions, i.e. ‘what is it?’ and ‘how is it?’ the orientation of her research is descriptive and classificatory (see also Bose 1997). As soon as she incorporates the question ‘why is it’, her work becomes more explanatory in its spirit. When a social scientist’s research questions include the fourth and fifth questions as well, it becomes a diagnostic study. There can be a reasonable debate among the positivists regarding the inclusion of the fifth question as they believe that the questions like ‘what should it be?’ involve value judgements. However, you canunderstand that a comprehensive research should be based on all the questions mentioned above. In many cases, the researchers deal with a number of research questions, but do not clearly state which questions are more important, or how the questions are related. Such a multiplicity of questions can lead to the problem of lack of focus (Andrews 2003). The researchers should select the number of research questions for her or his study considering the time-cost-labour components of the work. Time, labour and cost of the study would proportionately be increased with the increase in the number of research questions. Too many research questions are difficult to manage as well.

2 Features of Research Questions?

Good research questions that lead to proper research findings have some important features (White 2009; De Vaus 2002; Andrews 2003). The following are the most important among them:

Research questions should be interrogative – Research questions should be interrogative in nature, it should not be declarative. For example it should be like this: ‘What is the relationship between educational level and attitude towards the freedom of media?’ A statement like: ‘There may be some relationship between educational level and attitude towards the freedom of media’ is not a research question.

Research questions should be based on the objectives of the study – Research questions should not divert the attention of the researcher from the basic objectives of the study. It should rather try to delve deep into the problem.

Research questions should be specific – There should not be any ambiguity in the research questions. It should be easily understandable and precise as much as possible.

It should be simple but well-structured – Much of the success of a research depends on the research questions. It should be focused and precisely framed. The ‘fallacy of many questions’ (i.e. aiming at ‘more than one inquiry in a single question’) should be avoided (White 2009). The questions should be structured in such a manner that they help the researcher unveil a specific dimension of the problem.

Self-check Exercise -1:

What do you mean by research?

Research is a scientific process of inquiry by which the existing stock of knowledge is either enriched or modified.

Distinguish between scientific knowledge and common sense.

Scientific knowledge is based on logic and is verifiable. The foundation of scientific knowledge is systematic and critical questioning, observation and reasoning. But common sense is gathered from direct day to day experience. Although common sense is not gathered through scientific inquiry it can be helpful in many research works.

What are research questions?

Research questions are specific questions emerged out of the broad problems of research, the answers of which a researcher tries to find out. The research questions set the direction of the entire research process.

What are the features of good research questions?

Research questions should be interrogative. It should not be a statement. A research question should also be specific, understandable and well-structured. Good research questions are based on the objectives of the study.

Distinguish between descriptive and explanatory research.

Descriptive research tries to describe a phenomenon or a situation or a problem. It generally deals with ‘what’ and ‘how’ questions. Explanatory research, on the other hand, tries to explain the ‘cause-effect’ relationships between different variables. This type of research also involves ‘why’ questions along with the ‘what’ and ‘how’ questions.

Research questions and hypothesis

Both research questions and hypotheses are useful in social science research. According to White (2009), the difference between them is that while research questions are interrogative in its form, hypotheses are declarative statements which are intended to be tested during the course of research. Hypotheses can be restructured in the form of questions. But then one should not call it hypothesis.

5.1 What is hypothesis?

When a researcher conceptualizes her research problems, she thinks about it in general terms. Research questions or hypotheses help look at the specific aspects of the problem. So hypotheses or research questions enable us to carry out meaningful analysis. Hypotheses are specific statements about the problem made at the initial stage of the research, which may be proved right or wrong also include things such as households, cities, organizations, schools, and nations. If an attribute does not vary, it is a constant” (Bryman 2012: 48).

Once a hypothesis assumes a relationship between two or more variables, the validity of such assumption, made on the basis of the personal experiences, knowledge and insights of the researcher, is tested through suitable statistical techniques. Hence, hypothesis is ‘[a]n informed speculation, which is set up to be tested, about the possible relationship between two or more variables’ Bryman (2012: 712). If the primary assumptions are proved correct after the analysis of data, they become part of the theory. So it is said that ‘hypothesis provides the link between the empirical world and the theory’ (Majumdar 2005: 78). Hypothesis formulation and testing are closely associated with the quantitative approach to study social phenomena (Jupp 2006).

5.2 Features of a good hypothesis

‘A hypothesis is a specified testable expectation about empirical reality that follows from a more general proposition’ (Babbie 2004: 44). It is the assumption made about the relationship between different variables on the basis of existing knowledge or common sense. But all declarative statements or assumptions are not hypotheses. Let us discuss some examples:

‘The rate of dropout is higher among the girl students’.
‘The rate of dropout varies with gender with the girl students having a higher dropout rate’.

The first assumption is not an example of a good hypothesis as it does not clearly state the two variables. But, the second one is a better one because it clearly mentions gender and rate of dropout as two variables and a relationship between them is assumed.

The features of good hypotheses are as follows:

Hypothesis generally states (predicts) the relationship between two variables.
It is expressed as a statement and not as a question (Payne and Payne 2005: 112)
Hypothesis should be clearly stated, specific and conceptually clear.
It should be consistent with the known laws of nature (Majumdar 2005)
Hypothesis is testable (after the final analysis it may prove to be correct or incorrect).

5.3 Soures of hypotheses

Hypotheses are not ordinary or casual statements about the empirical reality. They emerge through a systematic and logical process. According to Goode and Hatt (1981), there are four possible sources from which hypotheses can emerge. These are:

Culture can furnish hypotheses – Every human society has some distinctive cultural traits. Many social science researches focus on human behaviour or on meaningful social actions. Folkways, mores, values, customs, belief patterns can help formulate hypotheses in these studies. at the end of the analysis (Henn et al 2006).

Hypotheses are formulated at the third stage of the research process (see Diagram 1). According to Goode and Hatt (1981: 56), ‘[a] hypothesis states what we are looking for.’ They write ‘[i]t is a proposition which can be put to a test to determine its validity.’ Hypotheses are primary assumptions about the interrelations of different variables which set the direction of the entire research process. It may be noted that “a variable is simply an attribute on which cases vary. ‘Cases’ can obviously be people, but they can

Hypotheses can emerge from the science itself – In the backdrop of any research there should be one or more theories. Hypotheses are often deducted from a theory to verify or modify some of its basic conclusions. Goode and Hatt ( ibid .) opine that the socialization process, that a student of a particular discipline undergoes, teaches her/him about the promising areas, paradigms, laws, analytical categories, concepts and methods of that particular discipline. This knowledge can help the student to assume some possible causal relationships between some variables that she or he can put to a test for verification.

Hypotheses can be formulated from analogies – Analogies between human society and nature, between two different types of communities are often a fertile source of hypotheses. For obvious reasons, the researcher should take care in making such analogies. Analogies should not be illogical, it should, on the other hand, be consistent with the known laws of nature.

Hypotheses can come out from idiosyncratic, personal experiences of the researcher – The scientist lives in a particular culture or she can encounter some cultural traits of some other cultures. Her personal experiences can help her formulate effective hypotheses.

5.4 Types of hypothesis

Hypothesis can be classified in many ways. Goode and Hatt (1981) categorize them into three types on the basis of the level of abstraction.

pothesis that state the existence of empirical uniformities – Generally these hypotheses are framed when the researchers want to test the ‘common-sense propositions’. In other words, sometimes the researchers are interested to establish the parallels between what people think about a phenomenon and what actually exists. These often lead to the observations of simple differences. In these hypotheses, sometimes, common sense ideas are put into well-defined concepts and then the hypotheses are statistically verified.
Hypothesis that is concerned with complex ideal types – These hypotheses try to focus on the logically assumed relationships existing among empirical uniformities. In particular, these hypotheses ‘lead to specific coincidences of observations’ ( ibid .: 62). For obvious reasons, these types of hypotheses deal with a higher level of abstraction than the hypotheses that are concerned with the existence of empirical uniformities.
thesis that is concerned with the relation of analytical variables – According to Goode and Hatt ( ibid .) these hypotheses deal with the highest level of abstraction. In this case, the researcher analytically formulates a hypothesis that shows a relationship between changes in one aspect of the phenomenon with the actual or assumed changes in another aspect.

Majumdar (2005) has categorized hypothesis into two types – eliminative (or analytic) induction and enumerative induction. In the former case hypotheses are formulated as ‘universal generalization’ and the presence of any contrary evidence leads to its rejection. In case of enumerative induction, a complete enumeration is required to accept or reject the hypothesis. Look at the following examples:

Hypothesis I: Female students score better in Research Methodology course than the male students.

This is an example of eliminative or analytic induction. If any male student is found, who has scored more than the female students, there would be no reason to accept the hypothesis.

Hypothesis II: Ten Percent female students score better in Research Methodology course than the male students.

This is an example of enumerative induction. To accept or reject the hypothesis a complete enumeration is necessary.

5.5 Hypothesis Testing

A researcher formulates a number of hypotheses (sometimes called experimental hypotheses) and all these hypotheses are tested on the basis of data collected for the study. When a researcher wants to test the hypothesis with the help of some statistical techniques, he or she frames what is called null hypothesis. According to Babbie (2004: 49), in connection with hypothesis testing and tests of statistical significance, the hypothesis that suggests that there is no relationship among the variables under study is null hypothesis . Sometimes null hypothesis states that there is no difference between two variables.

Null Hypothesis (denoted by H 0 ): There is no difference between the percentage of male students and the percentage of female students who have got 60 per cent marks in Research Methodology course.

If the data collected for the study show, for example, that in reality there are differences between the percentage of male students and percentage of female students who have scored 60 per cent in Research Methodology course, there are statistical techniques to determine whether the difference found is statistically significant, or we can ignore the difference attributing it simply to chance factors and accept the null hypothesis (H0). If the difference obtained from the collected data is statistically significant the researcher rejects the null hypothesis and accepts the alternative hypothesis. For obvious reasons there may be more than one alternative hypotheses (denoted by: H1, H2, H3 etc) the researcher has to select any one from among the alternatives if the null hypothesis (H0) is rejected. The following are the examples:

Alternative Hypothesis (H 1 ): There is significant difference between the percentage of male students and the percentage of female students who have got 60 per cent marks in Research Methodology course.

Or, Alternative Hypothesis (H 2 ): The percentage of male students is higher than the percentage of female students who have got 60 per cent marks in Research Methodology course. Or,

Alternative Hypothesis (H 3 ): The percentage of female students is higher than the percentage of male students who have got 60 per cent marks in Research Methodology course.

It is not always easy to accept a hypothesis from among the alternatives. The researchers often has to find out what is called crucial instance to take a final decision regarding the acceptance of a hypothesis from among a number of options (alternative hypotheses). Sometimes they have to go through an experiment to decide what actually would be the alternative hypothesis (in the above example whether H2 is correct or H3 is correct. It should be noted that both H2 and H3 cannot be correct at the same time.) The experiment which finally helps to come to a final decision regarding which one should be accepted reasonably from among the hypotheses is called experimentum crucis (Babbie 2004; Majumdar 2005) . There are a number of statistical techniques like Z-test, t-test, χ2-test etc to test the null hypothesis.

Self-check Exercise – 2:

Distinguish between research question and hypothesis.

Both research questions and hypothesis are framed at the initial stage of the research and both help to look at the research problem in a very specific manner. But while the research question is a specific question the answer of which is sought, hypothesis is a declarative statement framed on the basis of the initial assumptions the validity of which is tested with the help of some statistical techniques. Hypotheses are formulated mainly in case of quantitative research.

State any two features of a good hypothesis.

A good hypothesis is specific and it indicates the relationship between two variables.

What is null hypothesis?

In case of hypothesis testing, the hypothesis that states that there is no difference or relationship between two variables under study is called null hypothesis. It is denoted by Ho. The statistical testing of hypothesis starts with null hypothesis. If the test-result tells the researcher to reject the null hypothesis, the researcher accepts alternative hypothesis.

What are alternative hypotheses?

Alternative hypotheses are formulated against the null hypothesis that states that there is some relationship or difference between the variables. These are denoted by H1, H2 etc.

Type I error and Type II error

Although in case of quantitative research, the researcher specifies the variables and puts the null hypothesis to test using some statistical techniques, there are dangers of reaching at wrong decisions even if the researcher resort to scientific techniques in the testing of hypotheses. He or she can commit two types of errors – Type I error and Type II error. When the researcher accepts a hypothesis when it is actually incorrect it is called Type I error. In case of Type II error the test-result tells the researcher to reject a hypothesis when it is actually correct. Let us look into the following examples:

Suppose you are interested to know whether there is any relationship between the education of the mother and that of their daughters. Sociologists generally use χ2 test to determine such relationships statistically. The null hypothesis of such a test would be like this:

H 0: There is no relationship between mothers’ education and daughters’ education.

The alternative hypothesis would be:

H 1: There is a definite relationship between mothers’ education and daughters’ education.

Suppose the calculated value of χ2 forces the researcher to accept the null hypothesis and come to the conclusion that there is no relationship between the education of the mother and that of their daughters. But in reality these two are highly related. This is the example of Type I error.

Now, suppose you are interested to know about the relationship between distance of home from the nearest high road and the number of children of the married women.

The null hypothesis of such a test would be like this:

H 0: There is no relationship between distance of home from the high road and the number of children.

H 1: There is significant relationship between distance of home from the high road and the number of children.

Suppose the calculated value of χ2 forces the researcher to reject the null hypothesis and come to the conclusion that there is significant relationship between distance of home from the nearest high road and the number of children married women have. It is not difficult to understand that any such relationship between these two is absurd. This is the example of Type II error.

Hypothesis and qualitative research

It has been said that hypothesis is generally associated with quantitative research. But it would be wrong to assume that in qualitative studies, they are irrelevant. According to Jupp (2006), some qualitative researches aim at describing the nature, contexts and consequences of social interactions, social relationships and the process of creations of meanings. These studies also start with some assumptions about the social realities which can be treated as hypotheses. Obviously, these hypotheses do not indicate the relationships between variables. Hypothesis testing in ‘qualitative research is a continuous process, involving the search for cases or contexts that do not square with the assertions being made, rather than a once-and-for-all event’ (Jupp 2006: 138). This is the process of analytical induction and when contrary evidences or what is called crucial instances challenge the conclusions of previous study they are modified or rejected. New hypotheses are then framed in the light of new information or experiences and again their validity is checked.

The topic of any research, which the title of the dissertation signifies, indicates the broad area of research. It is often easy to decide about a topic of research. But, a researcher has to be precise in focusing his or her attention while framing his/her research questions. Research questions and hypotheses are framed to specify the areas in which the researcher concentrates. Research questions are interrogative whereas hypotheses are declarative statements. When the researcher finalizes the specific objectives of the study, he or she is better able to frame his research questions or hypotheses. The researcher tries to find out the answers of the research questions framed at the beginning of the study. Hypotheses or the assumptions.

Andrews, R. Research Questions. London: Continuum, 2003.
Babbie, E. The Practice of Social Research . Australia: Thomson Wadsworth, 2004.
Bose, P. K. “Problems and Paradoxes of Inductive Social Science: A Critique of Ramkrishna Mukherjee”.
Sociological Bulletin 46, no. 2 (1997): 153-171.
Bryman, A, Quantity and Quality in Social Research. London: Routledge, 1988.
…….. Social Research Methods. Oxford: Oxford University Press, 2012. Das, D. K. L. Practice of Social Research. Jaipur: Rawat Publications, 2004.
Goode, W. J. and Hatt, P. K. Methods in Social Research. Auckland: McGraw – Hill International Book Company, 1981.
Henn, M. et. al. A Short Introduction to Social Research, London: Sage Publications, 2006.
Jupp, V. The Sage Dictionary of Social Research Methods. London: Sage Publications, 2006.
Majumdar, P. K. Research Methods in Social Science. New Delhi: Viva Books Pvt. Ltd., 2005.
Mukherjee, R. Systematic Sociology. New Delhi: Sage Publications, 1993.
Payne, G. and Payne, J. Key Concepts in Social Research. London: Sage Publications, 2005.
Singh, Yogendra. ICSSR Research Surveys and Explorations: Indian Sociology. Box Set, Vols 1-3. New Delhi: Oxford, 2013.
Vaus, De D, Surveys in Social Research. London: Routledge, 2002.
White, P. Developing Research Questions: A Guide for Social Scientists. New York: Palgrave Macmillan, 2009.

It’s too late to learn something new.

Hypothesis: Functions, Problems, Types, Characteristics, Examples

Basic Elements of the Scientific Method: Hypotheses

The Function of the Hypotheses

A hypothesis states what one is looking for in an experiment. When facts are assembled, ordered, and seen in a relationship, they build up to become a theory. This theory needs to be deduced for further confirmation of the facts, this formulation of the deductions constitutes of a hypothesis. As a theory states a logical relationship between facts and from this, the propositions which are deduced should be true. Hence, these deduced prepositions are called hypotheses.

Problems in Formulating the Hypothesis

As difficult as the process may be, it is very essential to understand the need of a hypothesis. The research would be much unfocused and a random empirical wandering without it. The hypothesis provides a necessary link between the theory and investigation which often leads to the discovery of additions to knowledge.

There are three major difficulties in the formulation of a hypothesis, they are as follows:

Absence of a clear theoretical framework
Lack of ability to utilize that theoretical framework logically
Failure to be acquainted with available research techniques so as to phrase the hypothesis properly.

Sometimes the deduction of a hypothesis may be difficult as there would be many variables and the necessity to take them all into consideration becomes a challenge. For instance, observing two cases:

Principle: A socially recognized relationship with built-in strains also governed by the institutional controls has to ensure conformity of the participants with implicit or explicit norms.

Deduction: This situation holds much more sense to the people who are in professions such as psychotherapy, psychiatry and law to some extent. They possess a very intimate relationship with their clients, thus are more susceptible to issues regarding emotional strains in the client-practitioner relationship and more implicit and explicit controls over both participants in comparison to other professions.

The above-mentioned case has variable hypotheses, so the need is to break them down into sub hypotheses, they are as follows:

Specification of the degree of difference
Specification of profession and problem
Specification of kinds of controls.

2. Principle: Extensive but relatively systematized data show the correlation between members of the upper occupational class and less unhappiness and worry. Also, they are subjected to more formal controls than members of the lower strata.

Deduction: There can numerous ways to approach this principle, one could go with the comparison applying to martial relationships of the members and further argue that such differential pressures could be observed through divorce rates. This hypothesis would show inverse correlations between class position and divorce rates. There would be a very strong need to define the terms carefully to show the deduction from the principle problem.

The reference of these examples showcases a major issue in the hypothesis formulations procedures. One needs to keep the lines set for the deductions and one should be focusing on having a hypothesis at the beginning of the experiment, that hypothesis may be subject to change in the later stages and it is referred to as a „working hypothesis. Hence, the devising and utilization of a hypothesis is essential for the success of the experiment.

Types of Hypothesis

There are many ways to classify hypotheses, but it seems adequate to distinguish to separate them on the basis of their level of abstraction. They can be divided into three broad levels which will be increasing in abstractness.

The existence of empirical uniformities : These hypotheses are made from problems which usually have a very high percentage of representing scientific examination of common–sense proportions. These studies may show a variety of things such as the distribution of business establishments in a city, behavior patterns of specific groups, etc. and they tend to show no irregularities in their data collection or review. There have been arguments which say that these aren’t hypothesis as they represent what everyone knows. This can be counter argued on the basis of two things that, “what everyone knows” isn’t always in coherence with the framework of science and it may also be incorrect. Hence, testing these hypotheses is necessary too.
Complex ideal types: These hypotheses aim at testing the existence of logically derived relationships between empirical uniformities. This can be understood with an example, to observe ecology one should take in many factors and see the relationship between and how they affect the greater issue. A theory by Ernest W. Burgess gave out the statement that concentric growth circles are the one which characterize the city. Hence, all issues such as land values, industrial growth, ethnic groups, etc. are needed to be analyzed for forming a correct and reasonable hypothesis.
Relations of analytic variables: These hypotheses are a bit more complex as they focus on they lead to the formulation of a relationship between the changes in one property with respect to another. For instance, taking the example of human fertility in diverse regions, religions, wealth gap, etc. may not always affect the end result but it doesn’t mean that the variables need not be accounted for. This level of hypothesizing is one of the most effective and sophisticated and thus is only limited by theory itself.

Science and Hypothesis

“The general culture in which a science develops furnishes many of its basic hypotheses” holds true as science has developed more in the West and is no accident that it is a function of culture itself. This is quite evident with the culture of the West as they read for morals, science and happiness. After the examination of a bunch of variables, it is quite easy to say that the cultural emphasis upon happiness has been productive of an almost limitless range.

The hypotheses originate from science; a key example in the form of “socialization” may be taken. The socialization process in learning science involves a feedback mechanism between the scientist and the student. The student learns from the scientist and then tests for results with his own experience, and the scientist in turn has to do the same with his colleagues.

Analogies are a source of useful hypotheses but not without its dangers as all variables may not be accounted for it as no civilization has a perfect system.

Hypotheses are also the consequence of personal, idiosyncratic experience as the manner in which the individual reacts to the hypotheses is also important and should be accounted for in the experiment.

The Characteristics for Usable Hypotheses

The criteria for judging a hypothesis as mentioned below:

Complete Clarity : A good hypothesis should have two main elements, the concepts should be clearly defined and they should be definitions which are communicable and accepted by a larger section of the public. A lot of sources may be used and fellow associates may be used to help with the cause.
Empirical Referents : A great hypothesis should have scientific concepts with the ultimate empirical referent. It can‟t be based on moral judgment though it can explore them but the goal should be separated from moral preachment and the acceptance of values. A good start could be analyzing the concepts which express attitudes rather than describing or referring to empirical phenomena.
Specific Goal : The goal and procedure of the hypothesis should be tangible as grand experiments are harder to carry out. All operations and predictions should be mapped and in turn the possibility of testing the hypothesis increases. This not only enables the conceptual clarity but also the description of any indexes used. These indexes are used as variables for testing hypotheses on a larger scale. A general prediction isn’t as reliable as a specific prediction as the specific prediction provides a better result.
Relation to Available Techniques : The technique with which a hypothesis is tested is of the utmost importance and so thorough research should be carried out before the experiment in order to find the best possible way to go about it. The example of Karl Marx may be given regarding his renowned theories; he formulated his hypothesis by observing individuals and thus proving his hypothesis. So, finding the right technique may be the key to a successful test.
Relation to a Body of Theory: Theories on social relations can never be developed in isolation but they are a further extension of already developed or developing theories. For instance, if the “intelligence quotient” of a member of the society is to be measured, certain variables such as caste, ethnicity, nationality, etc. are chosen thus deductions are made from time to time to eventually find out what is the factor that influences intelligence.

The Conclusion

The formulation of a hypothesis is probably the most necessary step in good research practice and it is very essential to get the thought process started. It helps the researcher to have a specific goal in mind and deduce the end result of an experiment with ease and efficiency. History is evident that asking the right questions always works out fine.

Is Sociology a Science? The Case for "Yes"

Study Notes

Is Sociology a Science? The Case for "No"

Research methods - "card drop" activity.

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Empirical Research

Reading: approaches to sociological research.

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

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.

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.

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

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)?

At this point, a researcher’s operational definitions help measure the variables. In a study asking how tutoring improves grades, for instance, one researcher might define a “good” grade as a C or better, while another uses a B+ as a starting point for “good.” Another operational definition might describe “tutoring” as “one-on-one assistance by an expert in the field, hired by an educational institution.” Those definitions set limits and establish cut-off points that ensure consistency and replicability in a study.

As the table shows, an independent variable is the one that causes a dependent variable to change. For example, a researcher might hypothesize that teaching children proper hygiene (the independent variable) will boost their sense of self-esteem (the dependent variable). Or rephrased, a child’s sense of self-esteem depends, in part, on the quality and availability of hygienic resources.

Just because a sociologist forms an educated prediction of a study’s outcome doesn’t mean data contradicting the hypothesis aren’t welcome. Sociologists analyze general patterns in response to a study, but they are equally interested in exceptions to patterns. In a study of education, a researcher might predict that high school dropouts have a hard time finding rewarding careers. While it has become at least a cultural assumption that the higher the education, the higher the salary and degree of career happiness, there are certainly exceptions. People with little education have had stunning careers, and people with advanced degrees have had trouble finding work. A sociologist prepares a hypothesis knowing that results will vary.

Once the preliminary work is done, it’s time for the next research steps: designing and conducting a study and drawing conclusions. These research methods are discussed below.

Interpretive Framework

While many sociologists rely on the scientific method as a research approach, others operate from an interpretive framework . While systematic, this approach doesn’t follow the hypothesis-testing model that seeks to find generalizable results. Instead, an interpretive framework , sometimes referred to as an interpretive perspective, seeks to understand social worlds from the point of view of participants, which leads to in-depth knowledge.

Interpretive research is generally more descriptive or narrative in its findings. Rather than formulating a hypothesis and method for testing it, an interpretive researcher will develop approaches to explore the topic at hand that may involve a significant amount of direct observation or interaction with subjects. This type of researcher also learns as he or she proceeds and sometimes adjusts the research methods or processes midway to optimize findings as they evolve.

Using the scientific method, a researcher conducts a study in five phases: asking a question, researching existing sources, formulating a hypothesis, conducting a study, and drawing conclusions. The scientific method is useful in that it provides a clear method of organizing a study. Some sociologists conduct research through an interpretive framework rather than employing the scientific method.

Scientific sociological studies often observe relationships between variables. Researchers study how one variable changes another. Prior to conducting a study, researchers are careful to apply operational definitions to their terms and to establish dependent and independent variables.

Short Answer

Write down the first three steps of the scientific method. Think of a broad topic that you are interested in and which would make a good sociological study—for example, ethnic diversity in a college, homecoming rituals, athletic scholarships, or teen driving. Now, take that topic through the first steps of the process. For each step, write a few sentences or a paragraph: 1) Ask a question about the topic. 2) Do some research and write down the titles of some articles or books you’d want to read about the topic. 3) Formulate a hypothesis.

Further Research

For a historical perspective on the scientific method in sociology, read “The Elements of Scientific Method in Sociology” by F. Stuart Chapin (1914) in the American Journal of Sociology : http://openstaxcollege.org/l/Method-in-Sociology

Arkowitz, Hal, and Scott O. Lilienfeld. 2009. “Lunacy and the Full Moon: Does a full moon really trigger strange behavior?” Scientific American. Retrieved October 20, 2014 ( http://www.scientificamerican.com/article/lunacy-and-the-full-moon ).

Berger, Peter L. 1963. Invitation to Sociology: A Humanistic Perspective . New York: Anchor Books.

Merton, Robert. 1968 [1949]. Social Theory and Social Structure . New York: Free Press.

“Scientific Method Lab,” the University of Utah, http://aspire.cosmic-ray.org/labs/scientific_method/sci_method_main.html .

Introduction to Sociology 2e. Authored by : OpenStax CNX. Located at : http://cnx.org/contents/02040312-72c8-441e-a685-20e9333f3e1d/Introduction_to_Sociology_2e . License : CC BY: Attribution . License Terms : Download for free at http://cnx.org/contents/[email protected]

Home » What is a Hypothesis – Types, Examples and Writing Guide

What is a Hypothesis – Types, Examples and Writing Guide

Table of Contents

Definition:

Hypothesis is an educated guess or proposed explanation for a phenomenon, based on some initial observations or data. It is a tentative statement that can be tested and potentially proven or disproven through further investigation and experimentation.

Hypothesis is often used in scientific research to guide the design of experiments and the collection and analysis of data. It is an essential element of the scientific method, as it allows researchers to make predictions about the outcome of their experiments and to test those predictions to determine their accuracy.

Types of Hypothesis

Types of Hypothesis are as follows:

Research Hypothesis

A research hypothesis is a statement that predicts a relationship between variables. It is usually formulated as a specific statement that can be tested through research, and it is often used in scientific research to guide the design of experiments.

Null Hypothesis

The null hypothesis is a statement that assumes there is no significant difference or relationship between variables. It is often used as a starting point for testing the research hypothesis, and if the results of the study reject the null hypothesis, it suggests that there is a significant difference or relationship between variables.

Alternative Hypothesis

An alternative hypothesis is a statement that assumes there is a significant difference or relationship between variables. It is often used as an alternative to the null hypothesis and is tested against the null hypothesis to determine which statement is more accurate.

Directional Hypothesis

A directional hypothesis is a statement that predicts the direction of the relationship between variables. For example, a researcher might predict that increasing the amount of exercise will result in a decrease in body weight.

Non-directional Hypothesis

A non-directional hypothesis is a statement that predicts the relationship between variables but does not specify the direction. For example, a researcher might predict that there is a relationship between the amount of exercise and body weight, but they do not specify whether increasing or decreasing exercise will affect body weight.

Statistical Hypothesis

A statistical hypothesis is a statement that assumes a particular statistical model or distribution for the data. It is often used in statistical analysis to test the significance of a particular result.

Composite Hypothesis

A composite hypothesis is a statement that assumes more than one condition or outcome. It can be divided into several sub-hypotheses, each of which represents a different possible outcome.

Empirical Hypothesis

An empirical hypothesis is a statement that is based on observed phenomena or data. It is often used in scientific research to develop theories or models that explain the observed phenomena.

Simple Hypothesis

A simple hypothesis is a statement that assumes only one outcome or condition. It is often used in scientific research to test a single variable or factor.

Complex Hypothesis

A complex hypothesis is a statement that assumes multiple outcomes or conditions. It is often used in scientific research to test the effects of multiple variables or factors on a particular outcome.

Applications of Hypothesis

Hypotheses are used in various fields to guide research and make predictions about the outcomes of experiments or observations. Here are some examples of how hypotheses are applied in different fields:

Science : In scientific research, hypotheses are used to test the validity of theories and models that explain natural phenomena. For example, a hypothesis might be formulated to test the effects of a particular variable on a natural system, such as the effects of climate change on an ecosystem.
Medicine : In medical research, hypotheses are used to test the effectiveness of treatments and therapies for specific conditions. For example, a hypothesis might be formulated to test the effects of a new drug on a particular disease.
Psychology : In psychology, hypotheses are used to test theories and models of human behavior and cognition. For example, a hypothesis might be formulated to test the effects of a particular stimulus on the brain or behavior.
Sociology : In sociology, hypotheses are used to test theories and models of social phenomena, such as the effects of social structures or institutions on human behavior. For example, a hypothesis might be formulated to test the effects of income inequality on crime rates.
Business : In business research, hypotheses are used to test the validity of theories and models that explain business phenomena, such as consumer behavior or market trends. For example, a hypothesis might be formulated to test the effects of a new marketing campaign on consumer buying behavior.
Engineering : In engineering, hypotheses are used to test the effectiveness of new technologies or designs. For example, a hypothesis might be formulated to test the efficiency of a new solar panel design.

How to write a Hypothesis

Here are the steps to follow when writing a hypothesis:

Identify the Research Question

The first step is to identify the research question that you want to answer through your study. This question should be clear, specific, and focused. It should be something that can be investigated empirically and that has some relevance or significance in the field.

Conduct a Literature Review

Before writing your hypothesis, it’s essential to conduct a thorough literature review to understand what is already known about the topic. This will help you to identify the research gap and formulate a hypothesis that builds on existing knowledge.

Determine the Variables

The next step is to identify the variables involved in the research question. A variable is any characteristic or factor that can vary or change. There are two types of variables: independent and dependent. The independent variable is the one that is manipulated or changed by the researcher, while the dependent variable is the one that is measured or observed as a result of the independent variable.

Formulate the Hypothesis

Based on the research question and the variables involved, you can now formulate your hypothesis. A hypothesis should be a clear and concise statement that predicts the relationship between the variables. It should be testable through empirical research and based on existing theory or evidence.

Write the Null Hypothesis

The null hypothesis is the opposite of the alternative hypothesis, which is the hypothesis that you are testing. The null hypothesis states that there is no significant difference or relationship between the variables. It is important to write the null hypothesis because it allows you to compare your results with what would be expected by chance.

Refine the Hypothesis

After formulating the hypothesis, it’s important to refine it and make it more precise. This may involve clarifying the variables, specifying the direction of the relationship, or making the hypothesis more testable.

Examples of Hypothesis

Here are a few examples of hypotheses in different fields:

Psychology : “Increased exposure to violent video games leads to increased aggressive behavior in adolescents.”
Biology : “Higher levels of carbon dioxide in the atmosphere will lead to increased plant growth.”
Sociology : “Individuals who grow up in households with higher socioeconomic status will have higher levels of education and income as adults.”
Education : “Implementing a new teaching method will result in higher student achievement scores.”
Marketing : “Customers who receive a personalized email will be more likely to make a purchase than those who receive a generic email.”
Physics : “An increase in temperature will cause an increase in the volume of a gas, assuming all other variables remain constant.”
Medicine : “Consuming a diet high in saturated fats will increase the risk of developing heart disease.”

Purpose of Hypothesis

The purpose of a hypothesis is to provide a testable explanation for an observed phenomenon or a prediction of a future outcome based on existing knowledge or theories. A hypothesis is an essential part of the scientific method and helps to guide the research process by providing a clear focus for investigation. It enables scientists to design experiments or studies to gather evidence and data that can support or refute the proposed explanation or prediction.

The formulation of a hypothesis is based on existing knowledge, observations, and theories, and it should be specific, testable, and falsifiable. A specific hypothesis helps to define the research question, which is important in the research process as it guides the selection of an appropriate research design and methodology. Testability of the hypothesis means that it can be proven or disproven through empirical data collection and analysis. Falsifiability means that the hypothesis should be formulated in such a way that it can be proven wrong if it is incorrect.

In addition to guiding the research process, the testing of hypotheses can lead to new discoveries and advancements in scientific knowledge. When a hypothesis is supported by the data, it can be used to develop new theories or models to explain the observed phenomenon. When a hypothesis is not supported by the data, it can help to refine existing theories or prompt the development of new hypotheses to explain the phenomenon.

When to use Hypothesis

Here are some common situations in which hypotheses are used:

In scientific research , hypotheses are used to guide the design of experiments and to help researchers make predictions about the outcomes of those experiments.
In social science research , hypotheses are used to test theories about human behavior, social relationships, and other phenomena.
I n business , hypotheses can be used to guide decisions about marketing, product development, and other areas. For example, a hypothesis might be that a new product will sell well in a particular market, and this hypothesis can be tested through market research.

Characteristics of Hypothesis

Here are some common characteristics of a hypothesis:

Testable : A hypothesis must be able to be tested through observation or experimentation. This means that it must be possible to collect data that will either support or refute the hypothesis.
Falsifiable : A hypothesis must be able to be proven false if it is not supported by the data. If a hypothesis cannot be falsified, then it is not a scientific hypothesis.
Clear and concise : A hypothesis should be stated in a clear and concise manner so that it can be easily understood and tested.
Based on existing knowledge : A hypothesis should be based on existing knowledge and research in the field. It should not be based on personal beliefs or opinions.
Specific : A hypothesis should be specific in terms of the variables being tested and the predicted outcome. This will help to ensure that the research is focused and well-designed.
Tentative: A hypothesis is a tentative statement or assumption that requires further testing and evidence to be confirmed or refuted. It is not a final conclusion or assertion.
Relevant : A hypothesis should be relevant to the research question or problem being studied. It should address a gap in knowledge or provide a new perspective on the issue.

Advantages of Hypothesis

Hypotheses have several advantages in scientific research and experimentation:

Guides research: A hypothesis provides a clear and specific direction for research. It helps to focus the research question, select appropriate methods and variables, and interpret the results.
Predictive powe r: A hypothesis makes predictions about the outcome of research, which can be tested through experimentation. This allows researchers to evaluate the validity of the hypothesis and make new discoveries.
Facilitates communication: A hypothesis provides a common language and framework for scientists to communicate with one another about their research. This helps to facilitate the exchange of ideas and promotes collaboration.
Efficient use of resources: A hypothesis helps researchers to use their time, resources, and funding efficiently by directing them towards specific research questions and methods that are most likely to yield results.
Provides a basis for further research: A hypothesis that is supported by data provides a basis for further research and exploration. It can lead to new hypotheses, theories, and discoveries.
Increases objectivity: A hypothesis can help to increase objectivity in research by providing a clear and specific framework for testing and interpreting results. This can reduce bias and increase the reliability of research findings.

Limitations of Hypothesis

Some Limitations of the Hypothesis are as follows:

Limited to observable phenomena: Hypotheses are limited to observable phenomena and cannot account for unobservable or intangible factors. This means that some research questions may not be amenable to hypothesis testing.
May be inaccurate or incomplete: Hypotheses are based on existing knowledge and research, which may be incomplete or inaccurate. This can lead to flawed hypotheses and erroneous conclusions.
May be biased: Hypotheses may be biased by the researcher’s own beliefs, values, or assumptions. This can lead to selective interpretation of data and a lack of objectivity in research.
Cannot prove causation: A hypothesis can only show a correlation between variables, but it cannot prove causation. This requires further experimentation and analysis.
Limited to specific contexts: Hypotheses are limited to specific contexts and may not be generalizable to other situations or populations. This means that results may not be applicable in other contexts or may require further testing.
May be affected by chance : Hypotheses may be affected by chance or random variation, which can obscure or distort the true relationship between variables.

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Model Answers

Q: Discuss the importance and sources of hypothesis in social research.

Question asked in UPSC Sociology 2020 Paper 1. Download our app for last 20 year question with model answers.

Model Answer:

Importance of Hypothesis in Social Research

Hypotheses are crucial in social research, guiding the research process and providing a framework for testing theories and drawing conclusions. This essay discusses the importance and sources of hypotheses in social research.

Importance of Hypotheses:

1. Guiding the research process: Hypotheses provide direction and focus, helping researchers design studies, select methods, and collect data. For example, a researcher studying education and income might hypothesize that higher education leads to higher income, guiding variable selection and data collection.

2. Facilitating theory testing: Hypotheses allow researchers to test theories by making predictions about variable relationships. Robert Merton’s theory of anomie suggests deviant behavior occurs when there is a discrepancy between goals and means, which can be tested through hypotheses.

3. Enabling empirical verification: Hypotheses are testable statements verified through observation and data collection, establishing validity and reliability. For example, a researcher can test the hypothesis that social media use decreases face-to-face interactions.

4. Promoting scientific inquiry: Hypotheses encourage critical thinking about social phenomena, generating new ideas. Émile Durkheim’s hypothesis about social integration and suicide rates led to insights into social factors influencing suicidal behavior.

Sources of Hypotheses:

1. Theories and literature: Existing theories and research serve as sources of hypotheses. Pierre Bourdieu’s theory of cultural capital might inspire a hypothesis about socioeconomic background and academic success.

2. Observations and experiences: Researchers’ observations can inspire hypotheses. Observing gender differences in classroom participation might lead to hypotheses about gender stereotypes and engagement.

3. Analogies and comparisons: Comparing social phenomena can generate hypotheses about underlying mechanisms. Comparing parenting styles and child development might yield hypotheses about parental control and warmth.

4. Collaborative discussions: Discussions with colleagues or stakeholders can stimulate hypothesis generation. Discussing immigrant challenges might lead to hypotheses about social support and integration.

5. Logical reasoning: Hypotheses can be derived through logical reasoning. Analyzing poverty and crime might lead to hypotheses about limited opportunities and social strain.

Conclusion: Hypotheses guide research, facilitate theory testing, enable verification, and promote inquiry. Researchers can generate hypotheses from theories, observations, analogies, discussions, and reasoning, contributing to the advancement of sociological knowledge.

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100+ Best Sociology Research Topics

Table of contents

1 What is Sociology Research Paper?
2 Tips on How To Choose a Good Sociology Research Topic
3 Culture and Society Sociology Research Topics
4 Urban Sociology Topics
5 Education Sociology Research Topics
6 Race and Ethnicity Sociology Research Topics
7 Medicine and Mental Health Sociology Research Topics
8 Family Sociology Research Topics
9 Environmental Sociology Research Topics
10 Crime Sociology Research Topics
11 Sociology Research Topics for High School Students
12.1 Conclusion

As the name suggests, Sociology is one topic that provides users with information about social relations. Sociology cuts into different areas, including family and social networks.

As the name suggests, Sociology is one topic that provides users with information about social relations. Sociology cuts into different areas, including family and social networks. It cuts across all other categories of relationships that involve more than one communicating human. Hence this is to say that sociology, as a discipline and research interest, studies the behaviour and nature of humans when associating with each other.

Sociology generally involves research. It analyses empirical data to conclude humans psychology. Factor analysis is one of the popular tools with which sociology research is carried out. Other tools that stand out are research papers.

Sociology research topics and research are deep data-based studies. With which experts learn more about the human-to-human association and their respective psychology. There are dedicated easy sociology research topics on gender and sociology research topics for college students. They are majorly passed on as a thesis. This article will consider Sociology Research papers and different types of essay topics relevant to modern times.

What is Sociology Research Paper?

A sociology Research paper or essay is written in a format similar to a report. It is fundamentally rooted in statistical analysis, Interviews, questionnaires, text analysis, and many more metrics. It is a sociology research paper because it includes studying the human state in terms of living, activity, couples and family association, and survival.

The most demanding part of a sociology research writing project is drafting a quantitative analysis. Many college projects and post-graduate theses will require quantitative analysis for results. However, sociology topics for traditional purposes may only need textual analysis founded on simple close-end questionnaires.

To write a sociology research topic, one will need to know the problem and how to get the needed solution. A sociology project must have a problem, a hypothesis, and the possible best solution for solving it. It must also be unique, which means it is not just a piece of writing that can be lifted anywhere from the internet. It is best to pay for a research paper founded on sociology to know how to create an excellent context matter or use it for your project.

Tips on How To Choose a Good Sociology Research Topic

It is one thing to understand the concept of a research topic and another to know how to write a sociology paper . There are processes and things that must be followed for a research paper to come outright. It includes researching, outlining, planning, and organizing the steps.

It is important to have a systematic arrangement of your steps. This is done in other to get excellent Sociology research topic ideas. The steps to getting perfect Sociology research paper topics are outlined below.

Choose a topic that works with your Strength While it may be tempting to pick a unique topic, you should go for one that you can easily work on. This is very important as you will be able to provide a strong case. That is when dealing with a subject you understand compared to one that you barely know how works. Unless otherwise stated, always choose a topic you understand.
Pick a good Scope The next step you should take after selecting a topic is to narrow it to a problem or several related problems that a single hypothesis can conveniently encompass. This will help you achieve a better concentration of effort and give you a very strong ground as you know the direction of the research before you even start.

While these steps are significant, you should have a concrete understanding of sociology to craft a standard project. If that is a little complex for you, you should buy a research paper on sociology at affordable prices to get what you want. You can find several reliable service providers online. Choosing the right sociology research topic can be daunting, especially when considering the complexity of the subject matter. For those in need of expert assistance, a professional research paper service can help guide you through the process and ensure your paper is well-researched and structured.

Culture and Society Sociology Research Topics

Culture and society are the foundation of sociology research projects. Humans are divided into different cultures and are categorized into societies. There is a sense of class, status, and, sadly, race bias. Sociology paper projects usually focus on these metrics to understand why humans act the way they do and what is expected over the years.

This section will consider the best sociology research paper topics examples that you can work with.

The effect of cultural appropriation in the long term.
The effect of media on human attitude and behavior.
How political differences affect friendship and family relationships.
Important social justice issues affecting society.
Association between political affiliation and religion.
Adult children who care for their children while also caring for their aged parents.
Senior citizens who are beyond retirement age and still in the workforce.
The effect and evolution of cancel culture.
Public distrust in political appointees and elected officials.
The unique separation challenges that those who work from home face in their workplace.

Urban Sociology Topics

With immense progress in every sector and the continuous evolution of technology, the conventional and more conservative way of association is fading off. These days, almost every person wants to be associated with the urban lifestyle. This section considers Easy sociology research titles in urban lifestyles and what they hold for the future.

The human relationship and social media.
Characteristics of long-lasting childhood relationship.
Industrial Revolution and its impact on a relationship and family structure.
Factors that lead to divorce.
Urban spacing and policy.
Urban services as regards local welfare.
Socialisation: how it has evolved over time.
Infertility and its impact on marriage success.
Marginalised and vulnerable groups in urban areas.

Education Sociology Research Topics

Education is social. The younger age group of any society population is the target of sociology research. Most Sociology Research Topics on Education focus on how teenagers and young adults relate with themselves, modernized equipment, and the available resources.

Here are some topics on Education Sociology Research Topic:

The relationship between success in school and socioeconomic status.
To what extent do low-income families rely on the school to provide food for their children?
The outcome of classroom learning compared to homeschool pupils.
How does peer pressure affect school children?
To what extent do standardized admission tests determine college success?
What is the link between k-12 success and college success?
The role of school attendance on children’s social skills progress.
How to promote equality among school children from economic handicap backgrounds.
The bias prevalent in the k-12 curricula approved by the state.
The effect of preschool on a child’s elementary school success.

Race and Ethnicity Sociology Research Topics

Race and ethnicity are major categories in sociology, and as such, there are many sociology research topics and ideas that you can select from. This section considers several race-based titles for research.

The race-based bias that happens in the workplace.
Pros and cons of interracial marriages.
Areas of life where race-based discrimination is prevalent.
Racial stereotypes have the potential to destroy people’s life.
How does nationality determine career development?
Assimilation and immigration.
Voter’s behaviour towards gender and race.
Gender and racial wage gaps.
As an American immigrant, how do I become a validated voter?
Underpinning ethics of nationality, ethnicity, and race.

Medicine and Mental Health Sociology Research Topics

Medical sociology research topics ideas are among the more social science project work option available to social scientists. Society has always affected the growth of medicine and mental health, and some data back this claim.

There are many medicines & mental health Sociological Topics that you can work on, and the major ones are considered in this section.

The impact of COVID-19 on our health.
Is milk harmful to adults, or is it another myth?
Unhealthy and healthy methods of dealing with stress.
Is it ethical to transplant organs?
How do people become addicts?
How does lack of regular sleep affect our health?
The effect of sugar consumption on our health.
The effects of bullying on the person’s mental health.
The relationship between social depression or anxiety and social media presence.
The effects of school shootings on students’ mental health, parents, staff, and faculty.

Family Sociology Research Topics

Sociology research topics on family are one of the more interesting sociology-based topics that researchers and experts consider. Here are some topics in family sociology research topics.

How does divorce affect children?
The impact of cross-racial adoption on society and children.
The impact of single parenting on children.
Social programs are designed for children who have challenges communicating with their parents.
Sociology of marriage and families.
How to quit helicopter parenting.
The expectation of parents on the work that nannies do.
Should children learn gender studies from childhood?
Can a healthy kid be raised in an unconventional family?
How much should parents influence their children’s attitudes, behaviour, and decisions?

Environmental Sociology Research Topics

This section considers sociology research titles on the environment

Should green energy be used instead of atomic energy sources?
The relationship between nature and consumerism culture.
The bias from the media during environmental issues coverage.
Political global changes are resulting in environmental challenges.
How to prevent industrial waste from remote areas of the world.
Utilising of natural resources and the digital era.
Why middle school students should be taught social ecology.
What is the connection between environmental conditions and group behaviour?
How can the condition of an environment affect its population, public health, economic livelihoods, and everyday life?
The relationship between economic factors and environmental conditions.

Crime Sociology Research Topics

There are multiple Sociology research topics on crime that researchers can create projects on. Here are the top choices to select from.

The crime rate changes in places where marijuana is legalised.
How does the unemployment rate influence crime?
The relationship between juvenile crime and the social, economic status of the family.
Factors that determine gang membership or affiliation.
How does upbringing affect adult anti-social behaviour?
How does cultural background and gender affect how a person views drug abuse.
The relationship between law violation and mental health.
How can gun possession be made safe with stricter laws?
The difference between homicide and murder.
The difference between criminal and civil cases.

Sociology Research Topics for High School Students

High school students are a major part of sociology research due to the peculiarity of the population. Here are some topics in sociology research.

The effect of social media usage in the classroom.
The impact of online communication on one’s social skills.
The difference between spiritualism and religion.
Should males and females have the same rights in the workplace?
How gender and role stereotypes are presented on TV.
The effect of music and music education on teenagers.
The effect of globalisation on various cultures.
What influences the problematic attitudes of young people towards their future.
The effect of meat consumption on our environment.
The factors contributing to the rate of high school dropouts.

Sociology Research Topics for College Students

Several sociology research topics focus on college students, and this section will consider them.

Immigration and assimilation.
Big cities and racial segregation.
Multicultural Society and dominant cultures.
College students and social media.
The role of nationalities and language at school.
School adolescents and their deviant behaviour.
Ways of resolving conflict while on campus.
Social movements impact the awareness of bullying.
The role models of the past decade versus the ones in recent times.
The effect of changes in the educational field on new students.

Sociology is a fascinating field of study, and there are plenty of compelling research topics to choose from. Writing an essay on sociology can be a challenging task if you don’t know where to start. If you’re feeling overwhelmed, you can always turn to a writing essay service for help. There are many services that offer professional assistance in researching and crafting a sociology essay. From exploring popular sociological theories to looking at current events, there are countless topics to consider.

This article has considered a vast Sociology research topics list. The topics were divided into ten different categories directly impacted by the concept of sociology. These topic examples are well-drafted and are in line with the demand for recent sociological concepts. Therefore if you seek topics in sociology that you would love to work on, then the ones on this list are good options to consider.

However, you need to understand the basics of draft sociology research to get the benefits of these topics. If that is not possible given the time frame of the project, then you could opt to buy sociology research on your desired topic of interest.

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2.1 Approaches to Sociological Research
In sociology, the hypothesis will often predict how one form of human behavior influences another. For example, a hypothesis might be in the form of an "if, then statement." ... However, one researcher might define a "good" grade as a C or better, while another uses a B+ as a starting point for "good." For the results to be ...
Hypotheses
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.
Chapter 2. Sociological Research
Approaches to Sociological Research. Using the scientific method, a researcher conducts a study in five phases: asking a question, researching existing sources, formulating a hypothesis, conducting a study, and drawing conclusions. The scientific method is useful in that it provides a clear method of organizing a study.
How to Write a Strong Hypothesis
4. Refine your hypothesis. You need to make sure your hypothesis is specific and testable. There are various ways of phrasing a hypothesis, but all the terms you use should have clear definitions, and the hypothesis should contain: The relevant variables; The specific group being studied; The predicted outcome of the experiment or analysis; 5.
How to Form a Hypothesis in Sociology
The hypothesis is the basis for scientific inquiry. A hypothesis is like a thesis statement, in that it is a summation of the focus and purpose of your research. Sociology, like other social sciences that study the complex workings of society, produces findings that are open to interpretation, often expressed as statistics.
Crafting and Testing Hypotheses in Sociology
In sociology, however, the real-world setting introduces numerous uncontrollable factors that can impact results. Testing hypotheses through empirical evidence. Once a hypothesis is formed, the next step is to test it through empirical evidence. This involves collecting data from the real world and analyzing it to see if it supports the hypothesis.
10 Research questions and testing hypotheses
Hypothesis formulation and testing are closely associated with the quantitative approach to study social phenomena (Jupp 2006). 5.2 Features of a good hypothesis 'A hypothesis is a specified testable expectation about empirical reality that follows from a more general proposition' (Babbie 2004: 44).
Hypothesis: Functions, Problems, Types, Characteristics, Examples
The criteria for judging a hypothesis as mentioned below: Complete Clarity: A good hypothesis should have two main elements, the concepts should be clearly defined and they should be definitions which are communicable and accepted by a larger section of the public. A lot of sources may be used and fellow associates may be used to help with the ...
Theories and Hypotheses
Theories are constructed by examining the results of research and repeated observations. Researchers begin with a theory, and end by noting how their findings add to that theory, or set of theories. A hypothesis is an educated guess about how two or more things are related. It might be based on our informal observations and life experiences.
Sociological Hypothesis Ideas
A sociological hypothesis is a statement of a problem or a question that is linked to the study of human society. The aim of the hypothesis is to advance sociological knowledge of a particular issue and can include any topic, from gender to poverty. Developing a hypothesis is the first stage of writing a research ...
Hypothesis
Hypothesis. A hypothesis is a statement that is then tested through research. A hypothesis usually consists of what the researcher thinks to be the case, and the purpose of the research is to discover whether she/he was correct. It is a feature of scientific research methodology. Some interpretivist sociologists prefer to use an aim rather than ...
Reading: Approaches to Sociological Research
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.
What is a Hypothesis
For example, a hypothesis might be formulated to test the effects of a particular stimulus on the brain or behavior. Sociology: In sociology, hypotheses are used to test theories and models of social phenomena, such as the effects of social structures or institutions on human behavior. For example, a hypothesis might be formulated to test the ...
101 Sociology Research Topics That Make an Impact
What kind of sociology research topics have you looked at lately? Do they make the right impact? Check out this list that assures you'll be passionate!
Discuss the importance and sources of hypothesis in social research
Sources of Hypotheses: 1. Theories and literature: Existing theories and research serve as sources of hypotheses. Pierre Bourdieu's theory of cultural capital might inspire a hypothesis about socioeconomic background and academic success. 2. Observations and experiences: Researchers' observations can inspire hypotheses.
150+ Interesting Sociology Research Topics
The categories of sociology topics to research range from economy to anthropology. They vary from lifestyle, alcoholism, education, family, as you can see from the list above. Pick the one that suits you and start writing. Sociological research topics are one of the most interesting kinds of research that you can do.
100+ Best Sociology Research Topics
However, sociology topics for traditional purposes may only need textual analysis founded on simple close-end questionnaires. To write a sociology research topic, one will need to know the problem and how to get the needed solution. A sociology project must have a problem, a hypothesis, and the possible best solution for solving it.

2.1 Approaches to Sociological Research

The Scientific Method

Step 1: Ask a Question or Find a Research Topic

Step 2: Review the Literature/Research Existing Sources

Step 3: Formulate a Hypothesis

Step 4: Design and Conduct a Study

Step 5: Draw Conclusions

Step 6: Report Results

Interpretive Framework

Critical Sociology

18 Hypotheses

Text Attributions

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Chapter 2. Sociological Research

2.2. Research Methods

Introduction to Sociological Research

The Scientific Method

Ask a Question

Research Existing Sources

Formulate a Hypothesis

Experiments

Making Connections: Sociological Research

Field Research

Making Connections: Sociology in the Real World

Participant Observation

Ethnography

The Feminist Perspective: Institutional Ethnography

The Case Study

Secondary Data or Textual Analysis

Section Summary

Section Quiz

Short Answer

Further Research

Solutions to Section Quiz

Image Attributions

Share This Book

Crafting and Testing Hypotheses in Sociology

Table of Contents

From theory to testable propositions 🔗

Characteristics of a good hypothesis 🔗

The importance of hypotheses in sociology 🔗

Direction for research 🔗

Bridge between theory and observation 🔗

Basis for scientific inquiry 🔗

Challenges of hypothesis testing in sociology 🔗

Complexity of social phenomena 🔗

Issues with operationalization 🔗

Control of extraneous variables 🔗

Testing hypotheses through empirical evidence 🔗

Quantitative methods 🔗

Qualitative methods 🔗

Mixed methods 🔗

Interpreting results and refining theories 🔗

Conclusion 🔗

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Research Methodologies & Methods

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10 Research questions and testing hypotheses

Hypothesis: Functions, Problems, Types, Characteristics, Examples

The Function of the Hypotheses

Problems in Formulating the Hypothesis

Types of Hypothesis

Science and Hypothesis

The Characteristics for Usable Hypotheses

Is Sociology a Science? The Case for "Yes"

Is Sociology a Science? The Case for "No"

Our subjects

Empirical Research

The Scientific Method

Ask a Question

Research Existing Sources

Formulate a Hypothesis

Interpretive Framework

Short Answer

Further Research

What is a Hypothesis – Types, Examples and Writing Guide

Types of Hypothesis

Research Hypothesis

Null Hypothesis

Alternative Hypothesis