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분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도1975 (base); 2000s–2010s (robust extensions)1975
창시자Grounded in Lawshe (1975) CVR framework; robust extensions draw on Huber, Wilcox, and robust statistics traditionC. H. Lawshe (quantitative framework); earlier qualitative traditions in educational measurement
유형Validity evidence / expert judgement procedure with outlier-resistant aggregationValidity evidence / expert judgement procedure
원전Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗
별칭robust CVR, outlier-resistant content validity, robust content validity index, robust expert-panel validationcontent-related validity, logical validity, face validity, content validation
관련66
요약Robust content validity assessment applies outlier-resistant statistical methods to the aggregation of expert panel ratings in content validation studies. By detecting and down-weighting idiosyncratic or extreme rater judgements, it yields Content Validity Ratio (CVR) and Content Validity Index (CVI) estimates that reflect the consensus of the panel more accurately than standard averaging when one or a few raters deviate sharply from the group.Content validity is evidence that a measurement instrument adequately samples the full domain of the construct it is intended to measure. It is established through systematic expert review and quantified with indices such as Lawshe's Content Validity Ratio (CVR) and Lynn's Content Validity Index (CVI), making it the foundational validity step in scale development.
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ScholarGate방법 비교: Robust Content Validity · Content Validity. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare