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| Байесово тестване на инвариантност на измерването× | Байесов потвърдителен факторен анализ (BCFA)× | |
|---|---|---|
| Област | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Година на възникване≠ | 2013 | 2007–2012 |
| Създател≠ | Bengt Muthen, Tihomir Asparouhov, Rens Van de Schoot | Sik-Yum Lee; Bengt Muthén and Tihomir Asparouhov |
| Тип≠ | Bayesian multigroup latent variable test | Bayesian latent variable model |
| Основополагащ източник≠ | Van de Schoot, R., Kluytmans, A., Tummers, L., Lugtig, P., Hox, J., & Muthen, B. (2013). Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance. Frontiers in Psychology, 4, 770. DOI ↗ | Lee, S.-Y. (2007). Structural Equation Modeling: A Bayesian Approach. Wiley. ISBN: 978-0470024232 |
| Други названия | Bayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariance | BCFA, Bayesian CFA, Bayesian structural equation measurement model, Bayes-CFA |
| Свързани≠ | 6 | 4 |
| Резюме≠ | Bayesian measurement invariance testing evaluates whether a scale's factor loadings and item intercepts are equivalent across groups, using a Bayesian framework that allows parameters to deviate from strict equality by a small, probabilistically specified amount rather than imposing an exact constraint. | 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. |
| ScholarGateНабор от данни ↗ |
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