论文标题
在贝叶斯结构方程建模的背景下，具有相关性的平均合理值作为预测的基础
Correlation-preserving mean plausible values as a basis for prediction in the context of Bayesian structural equation modeling
论文作者
论文摘要
当执行贝叶斯结构方程建模（BSEM）时，可以计算平均合理值。由于平均合理值不保留因素间相关性，因此它们产生的路径系数与模型的估计路径系数不同。由于对BSEM估计的合理值级别进行完全相同的预测可能是很有趣的，因此提出了具有相关性的平均合理值。给出了计算相关性平均合理值的一个示例，并在附录中给出了相应的语法。
Mean plausible values can be computed when Bayesian structural equation modeling (BSEM) is performed. As mean plausible values do not preserve the inter-factor correlations, they yield path coefficients that are different from the estimated path coefficients of the model. As it might be of interest to perform exactly the same prediction on the level of plausible values that has been estimated by BSEM, correlation-preserving mean plausible values were proposed. An example for the computation of the correlation preserving mean plausible values is given and the corresponding syntax is given in the Appendix.
