PURPOSE: To evaluate preoptometry and optometry school grade point averages and Optometry Admission Test (OAT) scores as predictors of performance on the National Board of Examiners in Optometry NBEO Part I (Basic Science) (NBEOPI) examination. METHODS: Simple and multiple correlation coefficients were computed from data obtained from a sample of three consecutive classes of optometry students (1995-1997; n = 278) at Southern California College of Optometry. RESULTS: The GPA after year two of optometry school was the highest correlation (r = 0.75) among all predictor variables; the average of all scores on the OAT was the highest correlation among preoptometry predictor variables (r = 0.46). Stepwise regression analysis indicated a combination of the optometry GPA, the OAT Academic Average, and the GPA in certain optometry curricular tracks resulted in an improved correlation (multiple r = 0.81). Predicted NBEOPI scores were computed from the regression equation and then analyzed by receiver operating characteristic (roc) and statistic of agreement (kappa) methods. From this analysis, we identified the predicted score that maximized identification of true and false NBEOPI failures (71% and 10%, respectively). Cross validation of this result on a separate class of optometry students resulted in a slightly lower correlation between actual and predicted NBEOPI scores (r = 0.77) but showed the criterion-predicted score to be somewhat lax. CONCLUSIONS: The optometry school GPA after 2 years is a reasonably good predictor of performance on the full NBEOPI examination, but the prediction is enhanced by adding the Academic Average OAT score. However, predicting performance in certain subject areas of the NBEOPI examination, for example Psychology and Ocular/Visual Biology, was rather insubstantial. Nevertheless, predicting NBEOPI performance from the best combination of year two optometry GPAs and preoptometry variables is better than has been shown in previous studies predicting optometry GPA from the best combination of preoptometry variables.
PURPOSE: To evaluate preoptometry and optometry school grade point averages and Optometry Admission Test (OAT) scores as predictors of performance on the National Board of Examiners in Optometry NBEO Part I (Basic Science) (NBEOPI) examination. METHODS: Simple and multiple correlation coefficients were computed from data obtained from a sample of three consecutive classes of optometry students (1995-1997; n = 278) at Southern California College of Optometry. RESULTS: The GPA after year two of optometry school was the highest correlation (r = 0.75) among all predictor variables; the average of all scores on the OAT was the highest correlation among preoptometry predictor variables (r = 0.46). Stepwise regression analysis indicated a combination of the optometry GPA, the OAT Academic Average, and the GPA in certain optometry curricular tracks resulted in an improved correlation (multiple r = 0.81). Predicted NBEOPI scores were computed from the regression equation and then analyzed by receiver operating characteristic (roc) and statistic of agreement (kappa) methods. From this analysis, we identified the predicted score that maximized identification of true and false NBEOPI failures (71% and 10%, respectively). Cross validation of this result on a separate class of optometry students resulted in a slightly lower correlation between actual and predicted NBEOPI scores (r = 0.77) but showed the criterion-predicted score to be somewhat lax. CONCLUSIONS: The optometry school GPA after 2 years is a reasonably good predictor of performance on the full NBEOPI examination, but the prediction is enhanced by adding the Academic Average OAT score. However, predicting performance in certain subject areas of the NBEOPI examination, for example Psychology and Ocular/Visual Biology, was rather insubstantial. Nevertheless, predicting NBEOPI performance from the best combination of year two optometry GPAs and preoptometry variables is better than has been shown in previous studies predicting optometry GPA from the best combination of preoptometry variables.