Bayesian Structural Equation Modeling With Cross-Loadings and Residual Covariances
回应《管理杂志》对贝叶斯因子分析方法的批评，澄清残差协方差先验等关键问题，并用模拟数据和重分析示例说明交叉载荷和模型选择工具。
A recent article in the Journal of Management gives a critique of a Bayesian approach to factor analysis proposed in Psychological Methods. This commentary responds to the authors’ critique by clarifying key issues, especially the use of priors for residual covariances. A discussion is also presented of cross-loadings and model selection tools. Simulated data are used to illustrate the ideas. A reanalysis of the example used by the authors reveals a superior model overlooked by the authors.