基于Logistic回归模型的博士研究生超期毕业影响因素分析——以哈尔滨工业大学为例  

An Investigation with a Logistic Regression Model into the Factors of Delayed Completion of Doctoral Studies—— With Harbin Institute of Technology as an Example

作　　者：王晓磊[1] 雷稚蔷[1] 王宏[1] 王智鹏[1] 

机构地区：[1]哈尔滨工业大学研究生院,哈尔滨150001

出　　处：《研究生教育研究》2014年第6期16-21,共6页Journal of Graduate Education

基　　金：中国学位与研究生教育学会一般课题(项目编号:B2-2013Y11-154)

摘　　要：为充分了解和掌握影响博士研究生超期毕业的主要因素,本研究基于Logistic回归模型相关理论构建博士生超期毕业概率模型。以哈尔滨工业大学为研究载体,对构建的博士生超期毕业模型进行实证分析,并得到了影响博士生超期毕业的关键因素。该研究为博士生超期预警机制的建立、博士生的教育管理以及相关政策的制定提供了一定的参考与借鉴。By means of a specifically-developed probabilistic model of logistic regression, an investigation was conducted into the factors of delayed completion of doctoral studies to fully understand the situation. Based on the data from the Harbin Institute of Technology and our empirical analysis, a number of key factors were identified that tend to delay students＇ completion of their doctoral studies. This research provides some reference for the establishment of a warning mechanism about delayed completion, management of doctoral education and other related policies.

关 键 词：LOGISTIC回归模型 博士生超期毕业 影响因素 概率模型 

分 类 号：G643[文化科学—高等教育学]