方法对比

	计算机化自适应测验项目分析	验证性因子分析（CFA）
领域	心理测量学	心理测量学
方法族	Latent structure	Latent structure
起源年份	1970s–1990s	1969
提出者	Lord, Weiss, and colleagues in psychometric research on adaptive testing	Karl Gustav Jöreskog
类型	Item calibration and evaluation	Hypothesis-testing latent variable model
开创性文献	van der Linden, W. J. & Glas, C. A. W. (Eds.) (2000). Computerized Adaptive Testing: Theory and Practice. Kluwer Academic Publishers. ISBN: 978-0792365556	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
别名	CAT item analysis, adaptive item calibration, IRT-based CAT item evaluation, adaptive item parameter estimation	CFA, confirmatory FA, measurement model, restricted factor analysis
相关	6	4
摘要	Computerized adaptive test item analysis evaluates and calibrates items intended for use in adaptive testing environments. Unlike fixed-form analysis, it accounts for the non-random item exposure inherent in adaptive administration, using item response theory to estimate item parameters, information functions, and exposure rates across the ability continuum.	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.