Which design combines quantitative and qualitative data in sociology of sport research?

Prepare for the Sociology of Sport Exam with targeted flashcards and multiple choice questions. Each question includes hints and explanations to ensure you are ready for your exam! Dive into the dynamics of sport within society and get exam-ready.

Multiple Choice

Which design combines quantitative and qualitative data in sociology of sport research?

Explanation:
Combining numbers with narratives in one study is the idea here. A mixed methods design intentionally brings together quantitative data (like surveys, measures, statistics) and qualitative data (such as interviews, observations, open-ended responses) to address a research question. In sociology of sport, this approach lets you quantify patterns—participation rates, performance metrics, attitudes—while also understanding the meanings, experiences, and social contexts behind those patterns. The integration can happen during data collection or in the analysis, providing a more complete picture and stronger overall conclusions through triangulation and complementary insights. Other designs tend to focus on a single type of data: a cross-sectional survey is mainly quantitative, a longitudinal study tracks change over time often with numerical data, and ethnography centers on deep qualitative immersion. Mixed methods is the design that explicitly combines both data types.

Combining numbers with narratives in one study is the idea here. A mixed methods design intentionally brings together quantitative data (like surveys, measures, statistics) and qualitative data (such as interviews, observations, open-ended responses) to address a research question. In sociology of sport, this approach lets you quantify patterns—participation rates, performance metrics, attitudes—while also understanding the meanings, experiences, and social contexts behind those patterns. The integration can happen during data collection or in the analysis, providing a more complete picture and stronger overall conclusions through triangulation and complementary insights. Other designs tend to focus on a single type of data: a cross-sectional survey is mainly quantitative, a longitudinal study tracks change over time often with numerical data, and ethnography centers on deep qualitative immersion. Mixed methods is the design that explicitly combines both data types.

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