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Doctoral student funding portfolios across and within engineering, life sciences and physical sciences
Studies in Graduate and Postdoctoral Education ( IF 1.8 ) Pub Date : 2018-05-14 , DOI: 10.1108/sgpe-d-17-00044
David Knight , Timothy Kinoshita , Nathan Choe , Maura Borrego

Purpose This paper aims to determine the extent to which graduate student funding portfolios vary across and within engineering, life sciences and physical sciences academic fields for degree recipients. “Graduate student funding portfolios” refers to the percentages of students funded by fellowships, research assistantships, teaching assistantships, personal means and other sources within an organizational unit. Design/methodology/approach Using data from the Survey of Earned Doctorates data set, the authors analyze doctoral students’ self-reported primary mechanisms of funding across and within academic fields varying along the Biglan taxonomy. The authors used cluster analyses and logistic regression to investigate within-field variation in funding portfolios. Findings The authors show significant differences in doctoral student funding portfolios across dimensions of the Biglan taxonomy characterizing academic fields. Within those fields, the authors demonstrate considerable variation in funding; institutions cluster into different “modes” of funding portfolios that do not necessarily map onto institutional type or control variables. Originality/value Despite tremendous investment in graduate students, there has been little research that can help characterize at the program-level how graduate students are funded, either by internal or external mechanisms. As programs continue to feel the pressures of more limited resources coupled with increasing graduate enrollment demands, investigating graduate student funding at a macro level is becoming increasingly important so programs may better understand constraints and predict shifts in resource availability.

中文翻译:

跨工程,生命科学和物理科学领域的博士生基金投资组合

目的本文旨在确定学位资助者在工程,生命科学和物理科学领域之间以及研究生内部的研究生资助组合变化的程度。“研究生资助项目组合”是指由研究金,研究助学金,教学助学金,个人财力和组织单位内其他来源资助的学生所占的百分比。设计/方法论/方法作者使用来自“获得博士学位的调查”数据集的数据,分析了沿着Biglan分类法在各个学术领域内和之内的博士生自我报告的主要资助机制。作者使用聚类分析和逻辑回归研究了投资组合的领域内变化。研究结果表明,在Biglan分类法的各个维度上,博士生的资助组合存在显着差异,这体现了学术领域的特征。在这些领域中,作者证明了资金的巨大差异。机构可分为不同的筹资组合“模式”,这些模式不一定对应于机构类型或控制变量。原创性/价值尽管对研究生进行了大量投资,但很少有研究可以在计划级别上通过内部或外部机制为研究生提供资金。随着计划继续感受到有限的资源带来的压力,以及越来越高的研究生入学要求,
更新日期:2018-05-14
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