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Analisis Item Politomus×Analisis Faktor Pengesahan (CFA)×
BidangPsikometrikPsikometrik
KeluargaLatent structureLatent structure
Tahun asal1969–19821969
PengasasFumiko Samejima (graded response model, 1969); David Andrich (rating scale model, 1978); Geoffrey Masters (partial credit model, 1982)Karl Gustav Jöreskog
JenisItem-level psychometric analysisHypothesis-testing latent variable model
Sumber perintisSamejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Aliasordered-category item analysis, graded response analysis, polytomous IRT, rated-scale item analysisCFA, confirmatory FA, measurement model, restricted factor analysis
Berkaitan44
RingkasanPolytomous item analysis examines the psychometric behavior of items that have more than two ordered response categories — such as Likert-type scales or partial-credit tasks. It evaluates each item's difficulty thresholds, discriminating power, and category functioning to determine whether the full response scale is being used as intended and whether each item contributes reliably to measuring the underlying construct.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: Polytomous item analysis · Confirmatory factor analysis. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare