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تحلیل عاملی تأییدی (CFA)×آزمون پایایی سنجش×
حوزهروان‌سنجیروان‌سنجی
خانوادهLatent structureLatent structure
سال پیدایش19692000
پدیدآورKarl Gustav JöreskogVandenberg & Lance
نوعHypothesis-testing latent variable modelMulti-group confirmatory factor analysis procedure
منبع بنیادینJöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗
نام‌های دیگرCFA, confirmatory FA, measurement model, restricted factor analysisFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
مرتبط43
خلاصهConfirmatory 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.Measurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means.
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ScholarGateمقایسهٔ روش‌ها: Confirmatory factor analysis · Measurement Invariance. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare