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تحليل العوامل التأكيدي (CFA)×نمذجة المعادلات البنيوية (SEM)×
المجالالقياس النفسيالإحصاء
العائلةLatent structureLatent structure
سنة النشأة19691970
صاحب الطريقةKarl Gustav JöreskogKarl Jöreskog (LISREL framework, 1970s)
النوعHypothesis-testing latent variable modelLatent variable / causal modeling
المصدر التأسيسيJöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
الأسماء البديلةCFA, confirmatory FA, measurement model, restricted factor analysisYapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
ذات صلة45
الملخصConfirmatory 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.Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.
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ScholarGateقارن الطرق: Confirmatory factor analysis · SEM. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare