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آزمون انطباقی رایانه‌ای مبتنی بر نظریه پاسخ به آیتم (CAT-IRT)×تحلیل عاملی تأییدی (CFA)×
حوزهروان‌سنجیروان‌سنجی
خانوادهLatent structureLatent structure
سال پیدایش1970s–1980s1969
پدیدآورLord, F. M.; further developed by Wainer, van der Linden, and othersKarl Gustav Jöreskog
نوعAdaptive measurement / sequential testingHypothesis-testing latent variable model
منبع بنیادینWainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
نام‌های دیگرCAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testingCFA, confirmatory FA, measurement model, restricted factor analysis
مرتبط44
خلاصهComputerized 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.
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ScholarGateمقایسهٔ روش‌ها: Computerized adaptive test item response theory · Confirmatory factor analysis. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare