Hypothesis testing in path models

The three prior criteria for linear recursive causal (path) model evaluation are shown to be equivalent to a more general technique. Hotelling's T² is introduced as a means of evaluating general hypotheses for the entire model, and some consequences of treating the model as a whole are discussed. The “twice standard error” rule is shown to be misleading for a number of reasons. An example of the application of the procedure and the computational technique is given, and some additional applications are suggested.