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）	因子分析（EFA）
分野	心理測定学	統計学
系統	Latent structure	Latent structure
提唱年	1970s–1980s	—
提唱者	Lord, F. M.; further developed by Wainer, van der Linden, and others	—
種類	Adaptive measurement / sequential testing	Latent variable / dimension reduction
原典	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113	Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.
別名	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing	common factor analysis, açımlayıcı faktör analizi, 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.	Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.