The results of analysis can be found in Table 1. This is accomplished by running the predictive discriminant analysis 5 times, deleting each variable in turn. The hit rate estimate is then examined, and the lowest resulting hit rate indicates the variable that contributes the most to predictive accuracy. The results of these analyses are presented in Table 2. This provides some interesting results.
Flexibility seems to contribute the most significantly to hit rate accuracy.
Overall experience also contributes considerably to accuracy, but this is not surprising. We could consider leaving this variable out because it is not improving the overall hit rate of the rule, but from a theoretical perspective it makes more sense to leave it in given that we are studying experienced GSS facilitators. The results of our analysis provide support for Clawson and Bostrom's GSS facilitator skill sets and their suggested importance. The skill sets plus experience variables can be used to predict GSS facilitator performance. In addition, our results provide a rule for predicting GSS facilitator performance.