How do we know what we know about society? Whether we are investigating the impact of an economic downturn on homeownership or trying to understand the daily lived experiences of a marginalized community, sociologists rely on systematic methods to gather data and build theories. Unlike casual observation, sociological research follows the scientific method—a procedure for acquiring knowledge that emphasizes collecting data through observation and experiment.
The Foundations of Research: Quantitative vs. Qualitative
Sociological research generally falls into two broad categories: quantitative and qualitative.
Quantitative research translates the social world into numbers that can be treated mathematically. This approach often seeks to identify cause-and-effect relationships or correlations between variables. For example, a researcher might analyze the relationship between household income and the average age of residents in a specific state.
Qualitative research works with nonnumerical data, such as texts, field notes, interview transcripts, photographs, and audio recordings. Instead of looking for mathematical trends, qualitative researchers often try to understand how people make sense of their own worlds.
Exam Tip: If a question asks about research involving "rates," "averages," or "mathematical trends," think Quantitative. If it mentions "meanings," "experiences," or "descriptions," think Qualitative.
Variables and the Scientific Method
To conduct systematic research, sociologists must define the components of their study clearly. A central part of this is identifying variables—two or more phenomena that a researcher believes are related.
In experimental settings, we distinguish between two specific types of variables:
- Independent Variable: The factor that is predicted to cause change in a behavior being researched.
- Dependent Variable: The factor that is changed (or not) by the independent variable.
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