Factorial survey experiments /

"Filling a gap in the literature of the field, this first-of-its-kind book 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 ("vignet...

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Bibliographic Details
Main Author: Auspurg, Katrin
Other Authors: Hintz, Thomas
Format: Book
Language:English
Published: Los Angeles : SAGE, [2015]
Series:Quantitative applications in the social sciences ; no. 07-175.
Subjects:

MARC

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245 1 0 |a Factorial survey experiments /  |c Katrin Auspurg, Goethe University, Thomas Hinz, University of Konstanz. 
264 1 |a Los Angeles :  |b SAGE,  |c [2015] 
300 |a xvii, 143 pages :  |b illustrations ;  |c 22 cm. 
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490 1 |a Quantitative Applications in the Social Sciences ;  |v 175 
504 |a Includes bibliographical references (pages 131-138) and index. 
505 0 |a Introduction -- Why and when to use factorial survey methods -- Setting up the experimental design -- Setting up the survey -- Data analyses -- Further aspects -- Concluding remarks. 
520 |a "Filling a gap in the literature of the field, this first-of-its-kind book 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, the authors 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."--Publisher's website. 
650 0 |a Social surveys. 
650 0 |a Factor analysis. 
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650 7 |a Social surveys.  |2 fast  |0 (OCoLC)fst01123390 
700 1 |a Hintz, Thomas. 
830 0 |a Quantitative applications in the social sciences ;  |v no. 07-175. 
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