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측정 불변성 검증×확인적 요인분석(CFA)×차별 문항 기능(Differential Item Functioning, DIF) 분석×
분야심리측정학통계학심리측정학
계열Latent structureLatent structureLatent structure
기원 연도200019691988
창시자Vandenberg & LanceKarl JöreskogPaul W. Holland & Dorothy T. Thayer (Mantel-Haenszel approach, 1988)
유형Multi-group confirmatory factor analysis procedureConfirmatory latent variable modelItem-level fairness / measurement equivalence analysis
원전Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363Holland, P. W. & Thayer, D. T. (1988). Differential Item Performance and the Mantel-Haenszel Procedure. ETS Research Report Series. link ↗
별칭Factorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm DeğişmezliğiDoğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement modelMadde Yanlılık Analizi (DIF — Differential Item Functioning), item bias analysis, Mantel-Haenszel DIF, Lord chi-square DIF
관련344
요약Measurement 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.Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships.Differential Item Functioning analysis examines whether examinees from different groups — such as gender, ethnicity, or language background — who have the same underlying ability respond differently to a test item. First formalised by Holland and Thayer in 1988 via the Mantel-Haenszel procedure, it is the principal tool in modern test development for detecting and removing item bias.
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ScholarGate방법 비교: Measurement Invariance · CFA · DIF Analysis. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare