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Factorial Survey Experiment

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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Sources

  1. Wallander, L. (2009). 25 Years of Factorial Surveys in Sociology: A Review. Social Science Research, 38(3), 505–520. DOI: 10.1016/j.ssresearch.2009.03.004
  2. Atzmüller, C., & Steiner, P. M. (2010). Experimental Vignette Studies in Survey Research. Methodology, 6(3), 128–138. DOI: 10.1027/1614-2241/a000014
  3. Rossi, P. H., & Nock, S. L. (Eds.) (1982). Measuring Social Judgments: The Factorial Survey Approach. Beverly Hills, CA: Sage. ISBN: 9780803918184

How to cite this page

ScholarGate. (2026, June 22). Factorial Survey Experiment (Factorial Survey / Vignette Module). ScholarGate. https://scholargate.app/en/political-science/factorial-survey-experiment

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Referenced by

ScholarGateFactorial Survey Experiment (Factorial Survey Experiment (Factorial Survey / Vignette Module)). Retrieved 2026-06-24 from https://scholargate.app/en/political-science/factorial-survey-experiment · Dataset: https://doi.org/10.5281/zenodo.20539026