Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics
研究了结构方程中拟合优度的几个问题，指出Bagozzi的收敛和区分标准在数学或统计分析上不成立，并论证了Fornell-Larcker检验系统的内部一致性及其与数据对应规则的一致性。
Several issues relating to goodness of fit in structural equations are examined. The convergence and differentiation criteria, as applied by Bagozzi, are shown not to stand up under mathematical or statistical analysis. The authors argue that the choice of interpretative statistic must be based on the research objective. They demonstrate that when this is done the Fornell-Larcker testing system is internally consistent and that it conforms to the rules of correspondence for relating data to abstract variables.