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Session Submission Type: Workshop
In this workshop, the participants will learn how to use factorial surveys of vignettes to study positive beliefs and normative judgments in social science research. We will begin with the theory and practice of factorial surveys pioneered by Peter Rossi (see Jasso 2006). We will use Stata to and walk the participants through the construction of the population of vignettes and drawing samples from it, implementing the factorial survey and collecting the data. Our discussion of vignette construction will consider both random and quota designs. We will demonstrate how to use Stata to estimate the positive-belief and normative-judgment equations and how to examine the determinants of variability and consequences of belief/judgement structure in the equations with a sociological example. We will discuss new developments of putting the factorial surveys online to optimize and speed up the data collection process.
Agenda
1. A brief intellectual history of factorial survey
2. Using vignettes to study positive beliefs and normative judgments: the two types of equations that correspond to an equation that describes how the world works
3. Beliefs and judgments as both determinants and consequences
4. Constructing vignettes and analyzing data: a step-by-step introduction (with Stata)
5. Factorial survey is now on the cloud: an online platform of vignette data collection
Reference
Auspurg, Katrin, and Thomas Hinz. 2015. Factorial Survey Experiments. Quantitative Applications in the Social Sciences # 175. Thousand Oaks, CA: Sage.
Jasso, Guillermina. 2006. “Factorial Survey Methods for Studying Beliefs and Judgments.” Sociological Methods and Research 34:334-423.