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Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Байесовская конвергентная валидность× | Байесовское тестирование инвариантности измерений× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 2000s–2010s | 2013 |
| Автор метода≠ | Building on Campbell & Fiske (1959) convergent validity; Bayesian extension developed in modern psychometrics literature | Bengt Muthen, Tihomir Asparouhov, Rens Van de Schoot |
| Тип≠ | Validity assessment / Bayesian inference | Bayesian multigroup latent variable test |
| Основополагающий источник≠ | Levy, R. & Mislevy, R. J. (2016). Bayesian Psychometric Modeling. CRC Press. ISBN: 978-1466500952 | 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 ↗ |
| Другие названия | Bayesian convergent validity analysis, Bayesian MTMM convergent validity, Bayesian multitrait convergent validity, BCV | Bayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariance |
| Связанные | 6 | 6 |
| Сводка≠ | Bayesian convergent validity applies Bayesian statistical inference to assess whether different measures of the same construct converge as theory predicts. Rather than a single-point correlation estimate, it yields a full posterior distribution over the convergent correlation, enabling probability statements about the magnitude of shared variance between theoretically related measures. | 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. |
| ScholarGateНабор данных ↗ |
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