قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| تقييم صلاحية البناء البايزي× | تحليل العوامل التأكيدي البايزي (BCFA)× | |
|---|---|---|
| المجال | القياس النفسي | القياس النفسي |
| العائلة | Latent structure | Latent structure |
| سنة النشأة≠ | 1955 / 2012 | 2007–2012 |
| صاحب الطريقة≠ | Cronbach & Meehl (validity framework); Muthén & Asparouhov (Bayesian SEM extension) | Sik-Yum Lee; Bengt Muthén and Tihomir Asparouhov |
| النوع≠ | Validity assessment / Bayesian inference | Bayesian latent variable model |
| المصدر التأسيسي≠ | Muthén, B. & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17(3), 313–335. DOI ↗ | Lee, S.-Y. (2007). Structural Equation Modeling: A Bayesian Approach. Wiley. ISBN: 978-0470024232 |
| الأسماء البديلة | Bayesian validity analysis, Bayesian CFA-based validity, Bayesian structural validity, posterior construct validity | BCFA, Bayesian CFA, Bayesian structural equation measurement model, Bayes-CFA |
| ذات صلة≠ | 6 | 4 |
| الملخص≠ | Bayesian construct validity assessment uses Bayesian confirmatory factor analysis and related Bayesian structural equation models to evaluate whether a scale or test measures the intended latent construct. It yields full posterior distributions for factor loadings, structural coefficients, and model-fit indices rather than single point estimates, enabling more nuanced and uncertainty-aware validity conclusions. | Bayesian confirmatory factor analysis tests a pre-specified factor structure using Bayesian inference. Instead of point estimates with p-values, it produces full posterior distributions for loadings, factor correlations, and residual variances, allowing the researcher to incorporate prior knowledge and propagate parameter uncertainty naturally. |
| ScholarGateمجموعة البيانات ↗ |
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