مقایسهٔ روشها
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| ضریب پایایی امگا (ω) مکدونالد× | تحلیل عاملی تأییدی (CFA)× | تحلیل عاملی تأییدی (CFA)× | |
|---|---|---|---|
| حوزه≠ | روانسنجی | آمار | روانسنجی |
| خانواده | Latent structure | Latent structure | Latent structure |
| سال پیدایش≠ | 1999 | 1969 | 1969 |
| پدیدآور≠ | Roderick P. McDonald | Karl Jöreskog | Karl Gustav Jöreskog |
| نوع≠ | Reliability coefficient / latent variable model | Confirmatory latent variable model | Hypothesis-testing latent variable model |
| منبع بنیادین≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830750 | Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| نامهای دیگر≠ | omega reliability, ω coefficient, omega total, omega hierarchical | Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model | CFA, confirmatory FA, measurement model, restricted factor analysis |
| مرتبط≠ | 6 | 4 | 4 |
| خلاصه≠ | McDonald's omega is a factor-analysis-based reliability coefficient introduced by Roderick P. McDonald (1999) that quantifies the internal consistency of a composite score without requiring the restrictive assumption that all items contribute equally to the latent factor. It yields two complementary indices: ω_total, which captures overall reliability of the sum score, and ω_hierarchical (ωh), which reports how much of the composite's variance is explained specifically by a single general factor. | Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships. | 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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