新疆某高校公共卫生硕士学位论文质量调查分析
Investigation on quality of master dissertation of public health in a university of Xinjiang
闫琪 1马艳 1崔燕 2刘涛1
作者信息
- 1. 新疆医科大学公共卫生学院,乌鲁木齐 830000
- 2. 新疆维吾尔自治区市场监督管理局,乌鲁木齐 830000
- 折叠
摘要
目的 了解2018-2022年新疆某高校公共卫生硕士学位论文质量.方法 采用文献查阅法调查新疆某高校公共卫生硕士学位论文质量,采用访谈方式对评阅成绩及答辩成绩较低的学位论文撰写者进行访谈并汇总问题.结果 共调查124篇学位论文,初审及复审均合格,重复率均低于20％,以观察研究类论文居多(83篇),涉及学科主要为流行病与卫生统计学(44篇、占35.5％)及劳动卫生与环境卫生学(38篇、占30.7％).2018-2022年学位论文的评阅成绩差异无统计学意义(F=1.136,P＞0.05),答辩成绩差异有统计学意义(F=3.911,P＜0.05).结论 2018-2022年新疆某高校公共卫生硕士学位论文选题符合培养方案要求;培养单位应加强对学位论文全过程的监管,及时关注课题选题、开题和答辩等环节,从而提升学位论文整体质量.
Abstract
Objective To analyze the quality of master dissertation of public health in a university in Xinjiang from 2018 to 2022.Methods The quality of master dissertation of public health was investigated with literature review method in a university of Xinjiang.The authors with low scores in evaluation and oral defense were interviewed and the problems were summarized for collecting the information.Results A total of 124 dissertations were investigated,first-round review and re-examination were qualified,and the repetition rates were less than 20％.Among which,83 dissertations were observational study.The main subjects involved epidemiology and health statistics(44 articles,accounting for 35.5％),and occupational and environmental health(38 articles,accounting for 30.7％).There was no statistical difference(F=1.136,P＞0.05)in the evaluation scores of dissertation from 2018 to 2022.The difference was statistical(F=3.911,P＜0.05)in defense scores.Conclusions From 2018 to 2022,the topic selection of master dissertation of public health meets the requirements of the training program in a university of Xinjiang.The supervision of whole process of dissertation should be strengthened by the training unit.The topic selection,proposal presentation and oral defense should be timely paid attention to,so as to improve the overall quality of the dissertation.
关键词
公共卫生硕士/学位论文/质量Key words
Master of public health/Dissertation/Quality引用本文复制引用
基金项目
中华医学会医学教育分会和中国高等教育学会医学教育专业委员会2020年医学教育研究课题(2020A-N02042)
出版年
2024
NETL
NSTL
万方数据