手法を比較

	項目応答理論（IRT）に基づくコンピュータ適応型テスト（CAT-IRT）	確認的因子分析（CFA）
分野	心理測定学	心理測定学
系統	Latent structure	Latent structure
提唱年	1970s–1980s	1969
提唱者	Lord, F. M.; further developed by Wainer, van der Linden, and others	Karl Gustav Jöreskog
種類	Adaptive measurement / sequential testing	Hypothesis-testing latent variable model
原典	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
別名	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing	CFA, confirmatory FA, measurement model, restricted factor analysis
関連	4	4
概要	Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys.	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.