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순서형 문항 기능차이 (Ordinal DIF)×측정 불변성 검증×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도1999-20012000
창시자Zumbo (logistic extension) and Penfield (Mantel generalization)Vandenberg & Lance
유형Item bias detection for ordered-category itemsMulti-group confirmatory factor analysis procedure
원전Zumbo, B. D. (1999). A handbook on the theory and methods of differential item functioning (DIF): Logistic regression modeling as a unitary framework for binary and Likert-type (ordinal) item scores. Ottawa: Directorate of Human Resources Research and Evaluation, Department of National Defense. link ↗Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗
별칭ordinal DIF, polytomous DIF, DIF for ordered categories, ordinal logistic DIFFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
관련63
요약Ordinal differential item functioning analysis detects whether an ordered-category item (such as a Likert-scale question) functions differently across demographic or cultural groups after controlling for the latent trait being measured. It extends classical binary DIF methods to polytomous response formats common in psychological and educational scales.Measurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means.
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ScholarGate방법 비교: Ordinal Differential Item Functioning · Measurement Invariance. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare