Kegel-Flom P
Am J Optom Physiol Opt. 1985 Dec;62(12):901-7. doi: 10.1097/00006324-198512000-00012.
Intellectual achievement, assessed over time by grades in preprofessional courses and standardized by scores on the Optometry College Admission Test (OCAT), is typically used to judge an applicant's potential for academic achievement in optometry school. In this study both intellectual and nonintellectual admission variables were tested as predictors of optometry grade point average (GPA). GPA at the end of two years was strongly and efficiently predicted by the following combination of intellectual and nonintellectual variables: preoptometry GPA, scores on the physics section of the OCAT, and a score based on the applicant's California Psychological Inventory (CPI) profile. The multiple correlation coefficient between this three-variable combination and GPA was 0.66; cross-validated r = 0.56. Scores on the quantitative section of the OCAT were the best single predictor of first year grades; when preoptometry GPA scores on the physics section of the OCAT and the personality inventory score were added, a predictive validity coefficient of 0.61 was obtained. It is concluded that the prediction of grades in optometry school, and indeed all professional schools, will derive from these three factors: preprofessional grades, standardized achievement test scores, and a quantitative measure of personal traits which relate to academic achievement. Whereas the exact weighting of each variable in a predictive equation depends upon the individual school, maximum predictive validity will be based on these three factors.
学术成就通常通过本科预科课程成绩来衡量,并通过验光学院入学考试(OCAT)的分数进行标准化,以此来判断申请人在验光学校取得学术成就的潜力。在本研究中,学术和非学术录取变量均作为验光学校平均绩点(GPA)的预测指标进行了测试。两年学业结束时的GPA能够通过以下学术和非学术变量的组合进行强有力且有效的预测:本科预科GPA、OCAT物理部分的分数以及基于申请人加州心理量表(CPI)档案得出的分数。这三个变量组合与GPA之间的多重相关系数为0.66;交叉验证的r值为0.56。OCAT定量部分的分数是第一年成绩的最佳单一预测指标;当加入本科预科GPA、OCAT物理部分的分数以及人格量表分数时,预测效度系数为0.61。研究得出结论,验光学校以及实际上所有专业学校的成绩预测都将源于以下三个因素:本科预科成绩、标准化成就测试分数以及与学术成就相关的个人特质的量化指标。虽然预测方程中每个变量的确切权重取决于各个学校,但最大预测效度将基于这三个因素。