Language:EnglishPublisher:Sage Publications, IncISBN-13:9781452274188ISBN-10:1452274185UPC:9781452274188Book Category:Social ScienceBook Subcategory:ResearchSize:8.40 x 5.40 x 0.50 inchesWeight:0.4497Product ID:SCQPQ29SZ6
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.
Language:EnglishPublisher:Sage Publications, IncISBN-13:9781452274188ISBN-10:1452274185UPC:9781452274188Book Category:Social ScienceBook Subcategory:ResearchSize:8.40 x 5.40 x 0.50 inchesWeight:0.4497Product ID:SCQPQ29SZ6
Auspurg, Katrin: - 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.Hinz, Thomas: - Thomas Hinz is currently a full professor at the Department of Sociology and History at the University of Konstanz, Germany. From 2006 to 2010, he was principal investigator in the research project "The Factorial Survey as a Method for Measuring Attitudes in Population Surveys" (funded by the German Research Foundation; part of the "Priority Programme on Survey Methodology").
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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.
Auspurg, Katrin: - 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.Hinz, Thomas: - Thomas Hinz is currently a full professor at the Department of Sociology and History at the University of Konstanz, Germany. From 2006 to 2010, he was principal investigator in the research project "The Factorial Survey as a Method for Measuring Attitudes in Population Surveys" (funded by the German Research Foundation; part of the "Priority Programme on Survey Methodology").
