MacCallum Robert C, Browne Michael W, Preacher Kristopher J
Department of Psychology, The Ohio State University, Columbus 43210-1222, USA.
Psychol Methods. 2002 Sep;7(3):301-6; discussion 323-37. doi: 10.1037/1082-989x.7.3.301.
P. E. Meehl and N. G. Waller (2002) proposed an innovative method for assessing path analysis models wherein they subjected a given model, along with a set of alternatives, to risky tests using selected elements of a sample correlation matrix. Although the authors find much common ground with the perspective underlying the Meehl-Waller approach, they suggest that there are aspects of the proposed procedure that require close examination and further development. These include the selection of only one subset of correlations to estimate parameters when multiple solutions are generally available, the fact that the risky tests may test only a subset of parameters rather than the full model of interest, and the potential for different results to be obtained from analysis of equivalent models.
P.E. 米尔和N.G. 沃勒（2002年）提出了一种评估路径分析模型的创新方法，即他们使用样本相关矩阵的选定元素，对给定模型以及一组替代模型进行风险测试。尽管作者们在米尔-沃勒方法背后的观点上找到了许多共同点，但他们指出，所提出的程序中存在一些需要仔细审查和进一步发展的方面。这些方面包括：当通常有多种解决方案时，仅选择一个相关子集来估计参数；风险测试可能仅测试参数的一个子集，而不是整个感兴趣的模型；以及对等效模型进行分析可能会得到不同结果的可能性。
