مقایسهٔ روش‌ها

	Anchoring Vignettes	Survey Experiment
حوزه	Political Science	Political Science
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	2004	2011
پدیدآور	Gary King, Christopher Murray, Joshua Salomon & Ajay Tandon	Experimental political science; synthesized by Diana Mutz
نوع	Survey measurement-correction method	Randomized experiment embedded in a survey
منبع بنیادین	King, G., Murray, C. J. L., Salomon, J. A., & Tandon, A. (2004). Enhancing the Validity and Cross-Cultural Comparability of Measurement in Survey Research. American Political Science Review, 98(1), 191–207.	Mutz, D. C. (2011). Population-Based Survey Experiments. Princeton, NJ: Princeton University Press. ISBN: 9780691144528
نام‌های دیگر	King anchoring vignettes, Vignette anchoring method, DIF correction via vignettes, Anchoring vignette rescaling	Population-based survey experiment, Survey-embedded experiment, Question-wording experiment, Framing experiment
مرتبط	3	4
خلاصه	Anchoring vignettes are a survey method for making self-assessments comparable across people and cultures. When respondents are asked to rate their own political efficacy, health, or freedom on an ordinal scale, different groups interpret the scale differently — what one culture calls 'a lot of freedom' another calls 'some.' This differential item functioning makes raw self-reports incomparable. The method, introduced by King, Murray, Salomon, and Tandon in 2004, has each respondent also rate several hypothetical characters described identically to everyone, then uses those vignette ratings to recover where each respondent's own scale lies and to rescale their self-assessment onto a common metric.	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.