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Anchoring Vignettes×Survey Experiment×
ValdkondPolitical SciencePolitical Science
PerekondProcess / pipelineProcess / pipeline
Tekkeaasta20042011
LoojaGary King, Christopher Murray, Joshua Salomon & Ajay TandonExperimental political science; synthesized by Diana Mutz
TüüpSurvey measurement-correction methodRandomized experiment embedded in a survey
AlgallikasKing, 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 ↗Mutz, D. C. (2011). Population-Based Survey Experiments. Princeton, NJ: Princeton University Press. ISBN: 9780691144528
RööpnimetusedKing anchoring vignettes, Vignette anchoring method, DIF correction via vignettes, Anchoring vignette rescalingPopulation-based survey experiment, Survey-embedded experiment, Question-wording experiment, Framing experiment
Seotud34
KokkuvõteAnchoring 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.
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