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| ベイズ的測定不変性検定× | ベイズ確認的因子分析 (BCFA)× | |
|---|---|---|
| 分野 | 心理測定学 | 心理測定学 |
| 系統 | Latent structure | Latent structure |
| 提唱年≠ | 2013 | 2007–2012 |
| 提唱者≠ | Bengt Muthen, Tihomir Asparouhov, Rens Van de Schoot | Sik-Yum Lee; Bengt Muthén and Tihomir Asparouhov |
| 種類≠ | Bayesian multigroup latent variable test | Bayesian latent variable model |
| 原典≠ | 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 |
| 別名 | Bayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariance | BCFA, Bayesian CFA, Bayesian structural equation measurement model, Bayes-CFA |
| 関連≠ | 6 | 4 |
| 概要≠ | 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. |
| ScholarGateデータセット ↗ |
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