曾经是最好的学生永远是最好的学生吗?使用本科学术指标预测研究生学习成功:来自荷兰研究硕士项目的证据

IF 2.6 4区 管理学 Q3 MANAGEMENT
Anastasia Kurysheva, Nivard Koning, Christine M. Fox, Harold V. M. van Rijen, Gönül Dilaver
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引用次数: 5

摘要

面对不断增加和多样化的研究生申请数量,基于证据的选择性录取已经成为一个紧迫的问题。本研究通过对荷兰一所大学的院校录取数据进行多水平回归分析,旨在确定本科学业指标对生命科学研究型硕士研究生学习成功的预测价值。结果表明,除了本科平均绩点外,本科论文成绩是研究生平均绩点的有效预测因子。在一定程度上,被检查的本科学业指标也预测研究生完成学位和获得学位的时间。本研究的结果可以被招生委员会用来评估和改进他们目前的研究生选拔录取做法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Once the best student always the best student? Predicting graduate study success using undergraduate academic indicators: Evidence from research masters’ programs in the Netherlands

Once the best student always the best student? Predicting graduate study success using undergraduate academic indicators: Evidence from research masters’ programs in the Netherlands

In the face of increasing and diversifying graduate application numbers, evidence-based selective admissions have become a pressing issue. By conducting multilevel regression analyses on institutional admissions data from a Dutch university, this study aims to determine the predictive value of undergraduate academic indicators for graduate study success on research masters’ programs in the life sciences. The results imply that in addition to undergraduate grade point average, undergraduate thesis grade is a valid predictor of graduate grade point average. To a small extent, the examined undergraduate academic indicators also predict graduate degree completion and time to degree. The results from this study can be used by admissions committees for evaluating and improving their current practices of graduate selective admissions.

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来源期刊
CiteScore
4.10
自引率
31.80%
发文量
46
期刊介绍: The International Journal of Selection and Assessment publishes original articles related to all aspects of personnel selection, staffing, and assessment in organizations. Using an effective combination of academic research with professional-led best practice, IJSA aims to develop new knowledge and understanding in these important areas of work psychology and contemporary workforce management.
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