Порівняння методів

	Survey Experiment	Factorial Survey Experiment
Галузь	Political Science	Political Science
Родина	Process / pipeline	Process / pipeline
Рік появи	2011	1982
Автор методу	Experimental political science; synthesized by Diana Mutz	Peter H. Rossi and collaborators
Тип	Randomized experiment embedded in a survey	Multi-factor randomized vignette experiment
Основоположне джерело	Mutz, D. C. (2011). Population-Based Survey Experiments. Princeton, NJ: Princeton University Press. ISBN: 9780691144528	Wallander, L. (2009). 25 Years of Factorial Surveys in Sociology: A Review. Social Science Research, 38(3), 505–520.
Інші назви	Population-based survey experiment, Survey-embedded experiment, Question-wording experiment, Framing experiment	Factorial survey, Factorial survey approach, Multi-factor vignette survey, Rossi vignette method
Пов'язані	4	3
Підсумок	A 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.