Predicting faculty success in university graduate departments

This study tests a model of predicting faculty success in the different fields of chemistry, physics, sociology, and political science. The main hypotheses tested and confirmed are:

1. In a field with a low technological development, professional age is more important in predicting faculty success than in a field with a high technological development.
2. In a field with a high technological development, articles are more important in predicting faculty success than in a field with a low technological development.
3. In a field with a low technological development, books are more important in predicting faculty success than in a field with a high technological development.

These hypotheses are tested separately for the tenured and the nontenured faculty groups. The policy implications of this model in regard to the management of graduate departments have been discussed and explored.