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다집단 문항 반응 함수 (MG-DIF)×다집단 측정 불변성 검정×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도1980s-1990s1971–1993
창시자Shealy & Stout (SIBTEST framework); Lord (IRT-based DIF)Jöreskog, K. G. (1971); Meredith, W. (1993)
유형Measurement bias detectionModel comparison / hypothesis testing
원전Millsap, R. E. (2012). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-1848728936Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗
별칭MG-DIF, multi-group DIF, differential item functioning across groups, multiple-group DIF analysismeasurement invariance, factorial invariance, cross-group invariance, MI testing
관련66
요약Multi-group differential item functioning examines whether test or scale items function equivalently across three or more distinct groups — such as gender, ethnicity, or country — after matching respondents on the underlying trait being measured. Items that behave differently across groups threaten fair measurement and valid score comparisons.Multi-group measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts.
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ScholarGate방법 비교: Multi-group Differential Item Functioning · Multi-group measurement invariance. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare