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.
Read the full method
Sign in with a free account to read this section.
Method map
The neighbourhood of related methods — select a node to explore.
Sources
- 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 ↗
- Atzmüller, C., & Steiner, P. M. (2010). Experimental Vignette Studies in Survey Research. Methodology, 6(3), 128–138. DOI: 10.1027/1614-2241/a000014 ↗
- 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
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Conjoint Survey ExperimentPolitical Science↔ compare
- Survey ExperimentPolitical Science↔ compare
- Vignette ExperimentPolitical Science↔ compare