James L. Winkle College of Pharmacy, University of Cincinnati, Ohio.
The University of Sydney Faculty of Pharmacy, New South Wales, Australia.
Am J Pharm Educ. 2019 Apr;83(3):6579. doi: 10.5688/ajpe6579.
To identify the correlation between the Pharmacy Curriculum Outcomes Assessment (PCOA) and pre-pharmacy and pharmacy performance variables. Four years of PCOA data (2012-2015) were analyzed for students taking the assessment in the third professional year (P3). Using the Pearson correlation coefficient, data was correlated to a series of performance variables: pre-pharmacy grade point average (GPA), pre-pharmacy science GPA (pre-pharmacy science courses only), Pharmacy College Admission Test (PCAT) composite score, P3 pre-advanced pharmacy practice experience (APPE) GPA and the North American Pharmacist Licensure Examination (NAPLEX). Scores that were correlated at r ≥ 0.30 were added to a multivariate linear regression model to compare their unique contributions. There was a moderate correlation between PCOA and PCAT (r=0.60), P3 pre-APPE GPA (r=0.60) and the NAPLEX (r=0.64). The multivariate regression analysis explained 60% of the variance of the total PCOA score, with PCAT making the largest unique contribution. The PCOA was moderately to strongly correlated to the pre-APPE GPA, thus providing an acceptable assessment of student learning. The PCOA was also moderately to strongly correlated to the NAPLEX, making it a useful tool in predicting performance and identifying students in need of further remediation before the NAPLEX.
为了确定药学课程成果评估（PCOA）与药学预科和药学表现变量之间的相关性。分析了 2012-2015 年四年的 PCOA 数据，这些数据来自于第三学年（P3）参加评估的学生。使用皮尔逊相关系数，将数据与一系列表现变量相关联：药学预科平均绩点（GPA）、药学预科科学 GPA（仅药学预科课程）、药学大学入学考试（PCAT）综合分数、P3 预高级药学实践经验（APPE）GPA 和北美药剂师执照考试（NAPLEX）。相关度 r≥0.30 的分数被添加到多元线性回归模型中，以比较它们的独特贡献。PCOA 与 PCAT（r=0.60）、P3 预 APPE GPA（r=0.60）和 NAPLEX（r=0.64）之间存在中度相关性。多元回归分析解释了总 PCOA 分数的 60%，其中 PCAT 做出了最大的独特贡献。PCOA 与预 APPE GPA 呈中度到高度相关，因此可以对学生的学习进行可靠评估。PCOA 与 NAPLEX 也呈中度到高度相关，使其成为预测表现和识别需要在 NAPLEX 前进一步补救的学生的有用工具。
