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Ujian Adaptif Berkomputer berasaskan Teori Gerak Balas Item (CAT-IRT)×Analisis Faktor Pengesahan (CFA)×
BidangPsikometrikPsikometrik
KeluargaLatent structureLatent structure
Tahun asal1970s–1980s1969
PengasasLord, F. M.; further developed by Wainer, van der Linden, and othersKarl Gustav Jöreskog
JenisAdaptive measurement / sequential testingHypothesis-testing latent variable model
Sumber perintisWainer, 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 ↗
AliasCAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testingCFA, confirmatory FA, measurement model, restricted factor analysis
Berkaitan44
RingkasanComputerized 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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ScholarGateBandingkan kaedah: Computerized adaptive test item response theory · Confirmatory factor analysis. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare