文章摘要
博士生的延期毕业率到底有多高——基于2017年全国离校调查数据的实证研究
How High is the Delayed Graduation Rate of Doctoral Candidates in China: An empirical research based on data of the national survey on delayed graduation in 2017
投稿时间:2019-09-07  
DOI:10.19834/j.cnki.yjsjy2011.2020.01.07
中文关键词: 博士生;延期毕业率;延期时间;离校调查
英文关键词: doctoral students;delayed graduation rate;delayed time;graduation survey
基金项目:教育部哲学社会科学重大课题攻关项目(17JZD057);国家社会科学基金青年项目(17CGL070);天津大学自主创新基金项目(2019XSC-0031)
作者单位
高耀 天津大学 教育学院, 天津 300354 
陈洪捷 北京大学 教育学院, 北京 100871 
王东芳 天津师范大学 教育学部, 天津 300387 
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中文摘要:
      基于2017年全国博士生离校调查数据进行的实证研究发现:博士生的平均延期率为39.68%,在延期群体中,48.15%的平均延期时间为一年,且延期率和延期时间在不同个体、不同学科及不同院校之间存在不同程度的差异性。进一步的回归分析发现:首先,自然科学中,男性延期概率显著低于女性;入学年龄越大,延期概率越高,延期时间也越长;博士生培养的贯通程度越高,则延期概率越低。其次,与人文学科相比,农学的延期概率显著更高而医学延期率显著更低;入选“一流学科”的博士生延期概率显著更低。第三,在自然科学中,院校层次越高,则博士生延期概率越高,但不同区域间延期率的差异并不显著。根据不同学科“内在规定性”和学科知识生产属性制定合理的培养周期是重要的改革趋势。
英文摘要:
      The authors find through an empirical study based on the data of the national graduation survey on doctoral candidates in 2017 that the average delayed graduation rate is 39.68 percent, of which, 48.15 percent have been delayed for one year on average. In addition, the authors also find the rate and the delayed time are different between different individuals, disciplines and higher-learning institutions. Through a further regression analysis, the authors find that:Firstly, the delay probability of male students is significantly lower than that of female students in natural sciences; the older they are at enrollment, the higher the delay probability is and the longer the delayed time is; the higher the degree of run-through doctoral student cultivation is, the lower the delay probability is. Secondly, in comparison with the students in humanities, the delay probability in agronomy is significantly higher and that in medical science is significantly lower; the delay probability of the doctoral candidates in "first-class disciplines" is significantly lower. Thirdly, in natural sciences, the higher the level of an institution is, the higher the delay probability of doctoral candidates is, but the difference is not so obviously noticeable among different regions. Therefore, the authors believe that to formulate reasonable training cycles according to the "inherent regularity" and the knowledge production attribute of different disciplines is an important reform trend.
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