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Survey Experiment×Factorial Survey Experiment×
NozarePolitical SciencePolitical Science
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads20111982
AutorsExperimental political science; synthesized by Diana MutzPeter H. Rossi and collaborators
TipsRandomized experiment embedded in a surveyMulti-factor randomized vignette experiment
PirmavotsMutz, D. C. (2011). Population-Based Survey Experiments. Princeton, NJ: Princeton University Press. ISBN: 9780691144528Wallander, L. (2009). 25 Years of Factorial Surveys in Sociology: A Review. Social Science Research, 38(3), 505–520. DOI ↗
Citi nosaukumiPopulation-based survey experiment, Survey-embedded experiment, Question-wording experiment, Framing experimentFactorial survey, Factorial survey approach, Multi-factor vignette survey, Rossi vignette method
Saistītās43
KopsavilkumsA survey experiment embeds a randomized experiment inside a survey: respondents are randomly assigned to different versions of a question, frame, or stimulus, and their answers are compared to estimate a causal effect. By combining the internal validity of randomization with the representative samples and rich measurement of survey research, survey experiments — especially population-based ones — let political scientists draw causal inferences about how information, framing, or message attributes shape public attitudes and behavior.A factorial survey experiment, often simply called a factorial survey, asks respondents to judge short descriptions — vignettes — whose multiple features are fully crossed and randomly varied. By factorially combining many dimensions, each at several levels, the design generates a large universe of vignettes; respondents rate a random sample of them, and regression of the ratings on the dimension levels recovers the independent causal effect of each feature on judgment. It scales the single-scenario vignette experiment up to many simultaneously manipulated attributes.
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ScholarGateSalīdzināt metodes: Survey Experiment · Factorial Survey Experiment. Izgūts 2026-06-25 no https://scholargate.app/lv/compare