结构方程模型经典资料：Structural Equation Models of Latent Interactions: Evaluation of Alternative Estimation Strategies and Indicator Construction
                                     作者：Herbert W. Marsh；Zhonglin Wen；Kit-Tai Hau
摘要：Interactions between (multiple indicator) latent variables are rarely used because of implementation
complexity and competing strategies. Based on 4 simulation studies, the traditional
constrained approach performed more poorly than did 3 new approaches—unconstrained,
generalized appended product indicator, and quasi-maximum-likelihood (QML). The authors’
new unconstrained approach was easiest to apply. All 4 approaches were relatively
unbiased for normally distributed indicators, but the constrained and QML approaches were
more biased for nonnormal data; the size and direction of the bias varied with the distribution
but not with the sample size. QML had more power, but this advantage was qualified by
consistently higher Type I error rates. The authors also compared general strategies for
defining product indicators to represent the latent interaction factor.