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순서형 문항 반응 이론×확인적 요인 분석 (CFA)×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도19691969
창시자Fumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial creditKarl Gustav Jöreskog
유형Probabilistic latent trait model for ordered polytomous responsesHypothesis-testing latent variable model
원전Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97. link ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
별칭polytomous IRT, ordinal IRT models, graded response models, ordinal latent trait modelsCFA, confirmatory FA, measurement model, restricted factor analysis
관련64
요약Ordinal item response theory (ordinal IRT) comprises a family of probabilistic models — most notably the Graded Response Model and the Partial Credit Model — that relate a respondent's standing on a latent trait to the probability of choosing each ordered response category on a polytomous item. It extends classical IRT beyond dichotomous items to the Likert-type and rating-scale items that dominate psychometric measurement.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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ScholarGate방법 비교: Ordinal IRT · Confirmatory factor analysis. 2026-06-19에 다음에서 검색함: https://scholargate.app/ko/compare