title: Multiple regression of predictors and criteria of dental school performance.
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 denatl 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 preformance were also evaluated as predictor criteria.
mesh_terms: D000367:Age Factors; D000704:Analysis of Variance; D002140:California; D003479:Curriculum; D004515:Education, Predental; D004521:Educational Measurement; D004522:Educational Status; D005191:Family Characteristics; D008889:Military Personnel; D012111:Residence Characteristics; D012575:Schools, Dental; D013335:Students, Dental