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多群体项目分析×验证性因子分析(CFA)×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份19861969
提出者Classical test theory tradition; systematised by Crocker & Algina (1986)Karl Gustav Jöreskog
类型Comparative item-level analysisHypothesis-testing latent variable model
开创性文献Crocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
别名MGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysisCFA, confirmatory FA, measurement model, restricted factor analysis
相关64
摘要Multi-group item analysis computes classical item statistics — difficulty, discrimination, and corrected item-total correlations — separately for each subgroup in a sample and then compares those statistics across groups. It is a standard diagnostic step in scale development and test fairness evaluation, revealing items that behave differently for men versus women, across age cohorts, or across cultural groups before more formal DIF testing.Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.
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ScholarGate方法对比: Multi-group item analysis · Confirmatory factor analysis. 于 2026-06-18 检索自 https://scholargate.app/zh/compare