Factorial Survey Experiments: Applications for the Social Sciences (Quantitative Applications in the Social Sciences, Band 175) - Softcover

Buch 144 von 194: Quantitative Applications in the Social Sciences

Auspurg, Katrin; Hinz, Thomas

 
9781452274188: Factorial Survey Experiments: Applications for the Social Sciences (Quantitative Applications in the Social Sciences, Band 175)

Inhaltsangabe

Filling a gap in the literature of the field, Factorial Survey Experiments provides researchers with a practical guide to using the factorial survey method to assess respondents’ beliefs about the world, judgment principles, or decision rules through multi-dimensional stimuli (“vignettes”) that resemble real-life decision-making situations. Using insightful examples to illustrate their arguments, authors Katrin Auspurg and Thomas Hinz guide researchers through all relevant steps, including how to set up the factorial experimental design (drawing samples of vignettes and respondents), how to handle the practical challenges that must be mastered when an experimental plan with many different treatments is embedded in a survey format, and how to deal with questions of data analysis. In addition to providing the “how-tos” of designing factorial survey experiments, the authors cover recent developments of similar methods, such as conjoint analyses, choice experiments, and more advanced statistical tools.

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Über die Autorin bzw. den Autor

Katrin Auspurg currently holds a full professorship in sociology (specializing in quantitative empirical research) at the Department of Social Sciences at the Goethe-University Frankfurt. Since 2012, she has been a research associate at the Institute for Social & Economic Research (ISER), University of Essex. Her main research interests are in survey research methods, analytical sociology, and social inequalities.

Von der hinteren Coverseite

This book provides a systematic and practical guide for researchers wishing to set up their own factorial survey design or to analyze factorial survey data.

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