University of Tennessee Health Science Center College of Pharmacy, Memphis, Tennessee.
University of Tennessee Health Science Center College of Pharmacy, Memphis, Knoxville, and Nashville, Tennessee.
Am J Pharm Educ. 2019 Mar;83(2):6516. doi: 10.5688/ajpe6516.
To examine relationships between students' demographic and academic performance factors and their scores on the Pharmacy Curriculum Outcomes Assessment (PCOA). 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 -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. 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. 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.
为了考察学生的人口统计学和学术表现因素与其药房课程成果评估(PCOA)分数之间的关系。分析了一个三年级药学专业学生班级(N=159)的学生 PCOA 分数和人口统计学数据(例如,年龄、种族/民族、性别)、入学前数据(例如,累计和科学 GPA、药学入学考试(PCAT))和学业成绩变量(例如,药学 GPA、学术地位)。独立样本 t 检验和方差分析(ANOVA)用于比较人口统计学变量的分数。Pearson r 相关用于评估 PCOA 分数与年龄、PCAT 分数和 GPA 之间的关系。进行逐步线性回归以确定与 PCOA 表现具有显著相关性的变量的预测能力。发现性别的性别与 PCOA 分数之间存在显著相关性,男性得分高于女性。PCAT 分数、药学预科科学 GPA 和药学理论 GPA 与 PCOA 分数也存在显著相关性。学业地位存在显著差异,允许在不重复课程内容的情况下继续学业的学业困难学生在 PCOA 上的得分明显低于未经历学业困难的学生。相反,那些重复课程的学生和那些从未经历过学业困难的学生之间没有统计学差异。最终回归模型中的 PCOA 表现预测因子包括 PCAT 综合分数、药学 GPA 和性别。新发现包括 PCOA 分数在性别和学业地位方面的差异,这是以前在已发表的研究中未探讨过的变量。研究结果对药学课程的补救决策具有影响。