Examination of Factors Relating to Student Performance on the Pharmacy Curriculum Outcomes Assessment

影响药学课程成果评估中学生表现的因素分析

阅读:1

Abstract

Objective. To examine relationships between students' demographic and academic performance factors and their scores on the Pharmacy Curriculum Outcomes Assessment (PCOA). Methods. Students' PCOA scores and demographics (eg, age, race/ethnicity, sex), preadmission data [eg, cumulative and science grade point average (GPA), Pharmacy College Admissions Test (PCAT)], and academic performance variables (eg, pharmacy GPA, academic standing) were analyzed for one class of third-year pharmacy students (N=159). Independent t-tests and Analysis of Variance (ANOVA) were used to compare scores by demographic variables. Pearson's r correlations were used to assess relationships between PCOA scores and age, PCAT scores, and GPA. Stepwise linear regression was conducted to determine the predictive ability of variables with significant correlations to PCOA performance. Results. Significant correlations were found between sex and PCOA scores with males scoring higher than females. Significant correlations with PCOA scores were also found for PCAT scores, pre-pharmacy science GPA, and pharmacy didactic GPA. Significant differences were found by academic standing, where students in academic difficulty who were allowed to proceed without repeating curricular content scored significantly lower on the PCOA than those who did not experience academic difficulty. Conversely, there were no statistical differences between those who repeated courses and those who never experienced academic difficulty. PCOA performance predictors in the final regression model included PCAT composite score, pharmacy GPA and sex. Conclusion. New findings included differences in PCOA scores by sex and by academic standing, a variable not previously explored in published studies. Findings have implications for remediation decisions in pharmacy curricula.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。