方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 贝叶斯验证性因子分析 (BCFA)× | 贝叶斯测量不变性检验× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 2007–2012 | 2013 |
| 提出者≠ | Sik-Yum Lee; Bengt Muthén and Tihomir Asparouhov | Bengt Muthen, Tihomir Asparouhov, Rens Van de Schoot |
| 类型≠ | Bayesian latent variable model | Bayesian multigroup latent variable test |
| 开创性文献≠ | Lee, S.-Y. (2007). Structural Equation Modeling: A Bayesian Approach. Wiley. ISBN: 978-0470024232 | 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 ↗ |
| 别名 | BCFA, Bayesian CFA, Bayesian structural equation measurement model, Bayes-CFA | Bayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariance |
| 相关≠ | 4 | 6 |
| 摘要≠ | 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. | 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. |
| ScholarGate数据集 ↗ |
|
|