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نظریه پاسخ آیت ترتیبی×تحلیل عاملی تأییدی (CFA)×
حوزهروان‌سنجیروان‌سنجی
خانوادهLatent structureLatent structure
سال پیدایش19691969
پدیدآورFumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial creditKarl Gustav Jöreskog
نوعProbabilistic latent trait model for ordered polytomous responsesHypothesis-testing latent variable model
منبع بنیادینSamejima, 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 ↗
نام‌های دیگرpolytomous IRT, ordinal IRT models, graded response models, ordinal latent trait modelsCFA, confirmatory FA, measurement model, restricted factor analysis
مرتبط64
خلاصهOrdinal 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.
ScholarGateمجموعه‌داده
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  1. v1
  2. 2 منابع
  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Ordinal IRT · Confirmatory factor analysis. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare