Multiple Regression of Predictors and Criteria of Dental School Performance

Author:

Houston John B.1,Mensh Ivan N.1

Affiliation:

1. School of Dentistry and Division of Medical Psychology, Department of Psychiatry, School of Medicine, University of California, Los Angeles, California 90024, USA

Abstract

This study reports normative data for 370 students admitted to the UCLA School of Dentistry, data on commonly used performance predictors, and the regression equation best fitted for forecasting performance in this school. Most variance was associated with dental school grade point average, National Board Dental Examination averages, and clinical performance. Best predictors were achievement level and trend in preadmission academic performance. The selection interview and high school performance were also evaluated as predictor criteria.

Publisher

SAGE Publications

Subject

General Dentistry

Reference6 articles.

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