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学生评价评分与课程满意度之间的预测关系。

Predictive Relationships Between Students' Evaluation Ratings and Course Satisfaction.

作者信息

Terry Catherine B, Heitner Keri L, Miller Leslie A, Hollis Clea

机构信息

Lipscomb University, Nashville, Tennessee.

All Aspects Research, Amherst, Massachusetts.

出版信息

Am J Pharm Educ. 2017 Apr;81(3):53. doi: 10.5688/ajpe81353.

DOI:10.5688/ajpe81353
PMID:28496273
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5423069/
Abstract

To assess the reliability and validity of course evaluation data. A correlation study was conducted using archival data from pharmacy student course evaluations. Bivariate relationships between eight course-rating items and overall rating item and the extent to which course type, level, and grade point average moderated these relationships were analyzed. Significant bivariate relationships were found between the eight course evaluation rating variables and the overall course rating variable. Pharmacy practice course type significantly moderated the relationship between all predictor and criterion variables. Pharmacy school administrators should consider individual course evaluation item ratings when making decisions regarding course offerings or faculty promotion and tenure.

摘要

为评估课程评估数据的可靠性和有效性,利用药学专业学生课程评估的存档数据进行了一项相关性研究。分析了八项课程评分项目与总体评分项目之间的双变量关系,以及课程类型、级别和平均绩点对这些关系的调节程度。在八项课程评估评分变量与总体课程评分变量之间发现了显著的双变量关系。药学实践课程类型对所有预测变量和标准变量之间的关系有显著调节作用。药学院管理人员在就课程设置或教师晋升及任期做出决策时,应考虑各个课程评估项目的评分。

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The influences of course effort, mastery and performance goals, grade expectancies, and earned course grades on student ratings of course satisfaction.课程投入、掌握和表现目标、成绩期望以及所得课程成绩对学生课程满意度评价的影响。
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G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences.G*Power 3:一款适用于社会科学、行为科学和生物医学科学的灵活的统计功效分析程序。
Behav Res Methods. 2007 May;39(2):175-91. doi: 10.3758/bf03193146.
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