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다집단 척도 개발×다집단 확인적 요인분석 (MG-CFA)×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도1971 (multi-group CFA); 2000 (applied synthesis for scale development)1971
창시자Jöreskog, K. G. (multi-group SEM framework); systematised for scale development by Vandenberg & Lance (2000)Karl Jöreskog
유형Scale development / measurement model testingMeasurement model / invariance test
원전Vandenberg, 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 ↗Vandenberg, 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 ↗
별칭MGSD, cross-group scale development, multi-sample scale development, comparative scale constructionMG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
관련66
요약Multi-group scale development constructs and validates a measurement scale simultaneously across two or more distinct populations or groups. The approach integrates standard item generation and factor-analytic procedures with a systematic hierarchy of measurement invariance tests to ensure that the resulting scale measures the same construct in the same way in every target group.Multi-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified.
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ScholarGate방법 비교: Multi-group scale development · Multi-group confirmatory factor analysis. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare