研究生选修课“医学数据处理与SPSS实用技术”考试质量解析及思考

发布时间：2018-03-13 22:12

本文选题：研究生　切入点：选修课　出处：《中国卫生统计》2015年05期 　论文类型：期刊论文

【摘要】：目的分析某医科大学博硕士研究生选修课"医学数据处理与SPSS实用技术"考试质量,为完善考核体系及有效提高教学质量提供参考和借鉴。方法收集2014年秋季146名选修此课程并参加考试的博硕士研究生的考试成绩并统计其出勤情况,分析试卷的信度和效度,同时基于回归分析评价课堂出勤情况对总成绩的影响。结果该次考试成绩的平均分为73.384分,标准差为10.772分,Kolmogorov-Smirnov统计量为0.060(P0.2),考试成绩服从正态分布。试卷的Cronbach’sα为0.845,标准化项目的 Cronbach’sα为0.876,试卷中五个部分与总成绩的Pearson相关系数在0.755至0.883之间。以出勤次数为自变量,考试成绩为因变量的回归分析结果提示每次出勤能够获得2分左右的额外分数,而最后一次出勤可获得7分以上的额外分数。结论研究生出勤情况影响其考试成绩,研究生的"工学矛盾"需要研究生管理部门和授课教师在课程设置环节和出勤考核环节予以充分重视。
[Abstract]:Objective to analyze the quality of the examination of "Medical data processing and SPSS practical Technology", an elective course for doctoral graduate students in a medical university. Methods in 2014, 146 postgraduates who took this course and took part in the examination were collected and their attendance was counted, and the reliability and validity of the test paper were analyzed. At the same time, based on regression analysis, the effect of class attendance on total performance was evaluated. Results the average score of the test was 73.384, The standard deviation is 10.772 minutes Kolmogorov-Smirnov statistic is 0.060 / P0.2a, the Cronbach's 伪 of the test paper is 0.845, the Cronbach's 伪 of the standardized item is 0.876, the Pearson correlation coefficient between the five parts of the test paper and the total score is 0.755 to 0.883. The results of regression analysis with dependent variables showed that every attendance could get an extra score of about 2 points, while the last one could get an extra score of more than 7 points. The contradiction between engineering and learning for graduate students needs to be paid more attention to by the management department of graduate students and the teaching teachers in the course setting and attendance examination.
【作者单位】：中国医科大学公共卫生学院流行病学教研室;中国医科大学公共基础学院数学教研室;中国医科大学研究生院;
【基金】：辽宁省教育科学“十二五”规划辽宁省青年教育科研骨干(高等教育)专项课题(编号JGZXQDB030)
【分类号】：G643;R-4

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