Question

As we learned today, conducting observational studies involves implicit differences of power and status separating the researcher from research participants. What are the concrete ways in which these differences might be expressed in the research process? Can you think of examples or concrete situations in which the researcher might have to adopt alternative approaches to data gathering due to ethical or practical considerations stemming from differences in power between the researcher and participants?

Answer 1

RESEARCH PROCESS

1.Defining the Problem

Defining a sociological problem helps frame a question to be addressed in the research process.

Defining the problem is necessarily the first step of the research process. After the problem and research question is defined, scientists generally gather information and other observations, form hypotheses, test hypotheses by collecting data in a reproducible manner, analyze and interpret that data, and draw conclusions that serve as a starting point for new hypotheses.

For example, intelligence cannot be directly quantified. We cannot say, simply by observing, exactly how much more intelligent one person is than another. But we can operationalize intelligence in various ways. For instance, we might administer an IQ test, which uses specific types of questions and scoring processes to give a quantitative measure of intelligence. Or we might use years of education as a way to operationalize intelligence, assuming that a person with more years of education is also more intelligent. Of course, others might dispute the validity of these operational definitions of intelligence by arguing that IQ or years of education are not good measures of intelligence. After all, a very intelligent person may not have the means or inclination to pursue higher education, or a less intelligent person may stay in school longer because they have trouble completing graduation requirements. In most cases, the way we choose to operationalize variables can be contested; few operational definitions are perfect. But we must use the best approximation we can in order to have some sort of measurable quantity for otherwise unmeasurable variables.

2.Reviewing the Literature

Sociological researchers review past work in their area of interest and include this “literature review” in the presentation of their research.

A literature review is a logical and methodical way of organizing what has been written about a topic by scholars and researchers. Literature reviews can normally be found at the beginning of many essays, research reports, or theses. In writing the literature review, the purpose is to convey what a researcher has learned through a careful reading of a set of articles, books, and other relevant forms of scholarship related to the research question. Furthermore, creating a literature review allows researchers to demonstrate the ability to find significant articles, valid studies, or seminal books that are related to their topic as well as the analytic skill to synthesize and summarize different views on a topic or issue.

3.Formulating the Hypothesis

A hypothesis is a potential answer to your research question; the research process helps you determine if your hypothesis is true.

A hypothesis is an assumption or suggested explanation about how two or more variables are related. It is a crucial step in the scientific method and, therefore, a vital aspect of all scientific research. There are no definitive guidelines for the production of new hypotheses. The history of science is filled with stories of scientists claiming a flash of inspiration, or a hunch, which then motivated them to look for evidence to support or refute the idea.

For example, if the hypothesis is a causal explanation, it will involve at least one dependent variable and one independent variable. In research, independent variables are the cause of the change. The dependent variable is the effect, or thing that is changed. In other words, the value of a dependent variable depends on the value of the independent variable. Of course, this assumes that there is an actual relationship between the two variables. If there is no relationship, then the value of the dependent variable does not depend on the value of the independent variable.

4.Determining the Research Design

The research design is the methodology and procedure a researcher follows to answer their sociological question.

A research design encompasses the methodology and procedure employed to conduct scientific research. Although procedures vary from one field of inquiry to another, identifiable features distinguish scientific inquiry from other methods of obtaining knowledge. In general, scientific researchers propose hypotheses as explanations of phenomena, and design research to test these hypotheses via predictions which can be derived from them.

The design of a study defines the study type, research question and hypotheses, independent and dependent variables, and data collection methods. There are many ways to classify research designs, but some examples include descriptive (case studies, surveys), correlational (observational study), semi-experimental (field experiment), experimental (with random assignment), review, and meta-analytic, among others. Another distinction can be made between quantitative methods and qualitative methods.

a.Quantitative Methods

Quantitative methods are generally useful when a researcher seeks to study large-scale patterns of behavior, while qualitative methods are often more effective when dealing with interactions and relationships in detail. Quantitative methods of sociological research approach social phenomena from the perspective that they can be measured and quantified. For instance, socio-economic status (often referred to by sociologists as SES) can be divided into different groups such as working-class, middle-class, and wealthy, and can be measured using any of a number of variables, such as income and educational attainment.

Qualitative versus Quantitative Methods: These two researchers are debating the relative merits of using qualitative or quantitative methods to study social phenomena such as the learning processes of children.

b.Qualitative Methods

Qualitative methods are often used to develop a deeper understanding of a particular phenomenon. They also often deliberately give up on quantity, which is necessary for statistical analysis, in order to reach a greater depth in analysis of the phenomenon being studied. While quantitative methods involve experiments, surveys, secondary data analysis, and statistical analysis, qualitatively oriented sociologists tend to employ different methods of data collection and hypothesis testing, including participant observation, interviews, focus groups, content analysis, and historical comparison.

5.Defining the Sample and Collecting Data

Defining the sample and collecting data are key parts of all empirical research, both qualitative and quantitative.

There are various types of samples. A probability sampling is one in which every unit in the population has a chance (greater than zero) of being selected in the sample, and this probability can be accurately determined. Nonprobability sampling is any sampling method where some elements of the population have no chance of selection or where the probability of selection can’t be accurately determined. Examples of types of samples include simple random samples, stratified samples, cluster samples, and convenience samples.

Good data collection involves following the defined sampling process, keeping the data in time order, noting comments and other contextual events, and recording non-responses. Errors and biases can result in the data. Sampling errors and biases, such as selection bias and random sampling error, are induced by the sample design. Non-sampling errors are other errors which can impact the results, caused by problems in data collection, processing, or sample design.

6.Analyzing Data and Drawing Conclusions

Data analysis in sociological research aims to identify meaningful sociological patterns.

a.The Process of Data Analysis

Data analysis is a process, within which several phases can be distinguished. The initial data analysis phase is guided by examining, among other things, the quality of the data (for example, the presence of missing or extreme observations), the quality of measurements, and if the implementation of the study was in line with the research design. In the main analysis phase, either an exploratory or confirmatory approach can be adopted. Usually the approach is decided before data is collected. In an exploratory analysis, no clear hypothesis is stated before analyzing the data, and the data is searched for models that describe the data well. In a confirmatory analysis, clear hypotheses about the data are tested.

b.Regression Analysis

The type of data analysis employed can vary. One way in which analysis often varies is by the quantitative or qualitative nature of the data.

c.Coding

Qualitative data can involve coding–that is, key concepts and variables are assigned a shorthand, and the data gathered is broken down into those concepts or variables. Coding allows sociologists to perform a more rigorous scientific analysis of the data. Coding is the process of categorizing qualitative data so that the data becomes quantifiable and thus measurable. Of course, before researchers can code raw data such as taped interviews, they need to have a clear research question. How data is coded depends entirely on what the researcher hopes to discover in the data; the same qualitative data can be coded in many different ways, calling attention to different aspects of the data.

d.Sociological Data Analysis

Sociological data analysis is designed to produce patterns. It is important to remember, however, that correlation does not imply causation; in other words, just because variables change at a proportional rate, it does not follow that one variable influences the other.

e.Conclusions

In terms of the kinds of conclusions that can be drawn, a study and its results can be assessed in multiple ways. Without a valid design, valid scientific conclusions cannot be drawn. Internal validity is an inductive estimate of the degree to which conclusions about causal relationships can be made (e.g., cause and effect), based on the measures used, the research setting, and the whole research design. External validity concerns the extent to which the (internally valid) results of a study can be held to be true for other cases, such as to different people, places, or times. In other words, it is about whether findings can be validly generalized. Learning about and applying statistics (as well as knowing their limitations) can help you better understand sociological research and studies. Knowledge of statistics helps you makes sense of the numbers in terms of relationships, and it allows you to ask relevant questions about sociological phenomena.

7.Preparing the Research Report

Sociological research publications generally include a literature review, an overview of the methodology followed, the results and an analysis of those results, and conclusions.

Like any research paper, sociological research is presented with a literature review, an overview of the methods used in data collection, and analysis, findings, and conclusions. Quantitative research papers are usually highly formulaic, with a clear introduction (including presentation of the problem and literature review); sampling and methods; results; discussion and conclusion. In striving to be as objective as possible in order to reduce biased interpretations of results, sociological esearch papers follow the scientific method. Research reports may be published as books or journal articles, given directly to a client, or presented at professional meetings.

The methodssection is necessary to demonstrate how the study was conducted, and that the data is valid for study. Without assurance that the research is based on sound methods, readers cannot countenance any conclusions the researcher proposes. In the methodology section, be sure to include: the population, sample frame, sample method, sample size, data collection method, and data processing and analysis. This is also a section in which to clearly present information in table and graph form.

In the findings and conclusion sections, the researcher reviews all significant findings, notes and discusses all shortcomings, and suggests future research. The conclusion section is the only section where opinions can be expressed and persuasive writing is tolerated.