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Anchoring Vignettes×Vignette Experiment×
분야Political SciencePolitical Science
계열Process / pipelineProcess / pipeline
기원 연도2004
창시자Gary King, Christopher Murray, Joshua Salomon & Ajay TandonSurvey and social-psychological research traditions
유형Survey measurement-correction methodRandomized experiment using short described scenarios
원전King, 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. DOI ↗Atzmüller, C., & Steiner, P. M. (2010). Experimental Vignette Studies in Survey Research. Methodology, 6(3), 128–138. DOI ↗
별칭King anchoring vignettes, Vignette anchoring method, DIF correction via vignettes, Anchoring vignette rescalingVignette study, Experimental vignette, Scenario experiment, Text-vignette experiment
관련33
요약Anchoring 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 vignette experiment presents respondents with a short, carefully constructed description of a person, situation, or scenario — a vignette — in which one or more features are experimentally manipulated, and then asks for a judgment, attitude, or intended action. By randomizing which version of the scenario each respondent reads, the researcher isolates the causal effect of each manipulated feature on the elicited judgment, combining the realism of a concrete scenario with the causal leverage of an experiment.
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