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.
Familie und Erwerbstätigkeit miteinander zu vereinbaren, ist für Mütter in Deutschland noch immer schwierig. Dies zeigt sich insbesondere beim Wiedereinstieg in den Arbeitsmarkt. Dieser variiert zum einen sehr stark mit dem Bildungsniveau, zum anderen spielen gesetzliche Regelungen zu Erziehungszeiten eine entscheidende Rolle. Zudem unterbrechen Frauen in Westdeutschland ihre Erwerbstätigkeit länger als Frauen in Ostdeutschland - auch 20 Jahre nach der Wiedervereinigung. Dies scheint indes weniger der unterschiedlichen Sozialisation geschuldet als unterschiedlichen institutionellen Regelungen. Schließlich hängt der Wiedereinstieg von Müttern nach einer familienbedingten Erwerbsunterbrechung auch von den Charakteristika der angebotenen Stellen ab. Hier zeigt sich: Neben der Entlohnung spielen auch nicht-monetäre Eigenschaften der Arbeitsstelle eine wichtige Rolle - insbesondere solche, die Einfluss auf das individuelle Zeitbudget haben.
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.
Secondary analysis has assumed a central position in social science research as existing survey data and statistical computing programmes have become increasingly available. This volume presents strategies for locating survey data and provides a comprehensive guide to US social science data archives, describing several major data files. The book also reviews research designs for secondary analysis.
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