Multiple Regression of Predictors and Criteria of Dental School Performance

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

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.

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				T. Komabayashi and W. F. Bird Comparison of Written Examinations Required for Dental Licensure in Japan and the United States: Contents, Cognitive Levels, and Cultural Implications J Dent Educ., August 1, 2005; 69(8): 930 - 936. [Abstract] [Full Text] [PDF]