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

Anastasia Kurysheva; Nivard Koning; Christine Fox; HVM van Rijen; Gönül Dilaver

doi:10.1111/ijsa.12397

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

Anastasia Kurysheva^*, Nivard Koning, Christine Fox, HVM van Rijen, Gönül Dilaver

^*Corresponding author for this work

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Abstract

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.

Original language	English
Pages (from-to)	579-595
Number of pages	17
Journal	International Journal of Selection and Assessment
Volume	30
Issue number	4
Early online date	27 Jul 2022
DOIs	https://doi.org/10.1111/ijsa.12397
Publication status	Published - Dec 2022

Keywords

GPA
admissions
graduate education
master's degree
student selection
study success
thesis

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10.1111/ijsa.12397Licence: CC BY-NC-ND

Int J Selection Assessment - 2022 - Kurysheva - Once the best student always the best student Predicting graduate studyFinal published version, 0.98 MBLicence: CC BY-NC-ND

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title = "Once the best student always the best student? Predicting graduate study success using undergraduate academic indicators: Evidence from research masters{\textquoteright} programs in the Netherlands",

abstract = "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{\textquoteright} 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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author = "Anastasia Kurysheva and Nivard Koning and Christine Fox and {van Rijen}, HVM and G{\"o}n{\"u}l Dilaver",

note = "Funding Information: The authors would like to thank prof. dr. Marijk van der Wende for her supervision of this study and the overarching PhD project focused on graduate selective admissions. The authors are also grateful to educational data specialist Guus Dikker. His professional advice on data processing was very valuable. This study received internal institutional funding. Publisher Copyright: {\textcopyright} 2022 The Authors. International Journal of Selection and Assessment published by John Wiley & Sons Ltd.",

year = "2022",

month = dec,

doi = "10.1111/ijsa.12397",

language = "English",

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Once the best student always the best student? Predicting graduate study success using undergraduate academic indicators: Evidence from research masters’ programs in the Netherlands. / Kurysheva, Anastasia; Koning, Nivard; Fox, Christine et al.
In: International Journal of Selection and Assessment, Vol. 30, No. 4, 12.2022, p. 579-595.

Research output: Contribution to journal › Article › Academic › peer-review

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T1 - Once the best student always the best student? Predicting graduate study success using undergraduate academic indicators: Evidence from research masters’ programs in the Netherlands

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AU - Koning, Nivard

AU - Fox, Christine

AU - van Rijen, HVM

AU - Dilaver, Gönül

N1 - Funding Information: The authors would like to thank prof. dr. Marijk van der Wende for her supervision of this study and the overarching PhD project focused on graduate selective admissions. The authors are also grateful to educational data specialist Guus Dikker. His professional advice on data processing was very valuable. This study received internal institutional funding. Publisher Copyright: © 2022 The Authors. International Journal of Selection and Assessment published by John Wiley & Sons Ltd.

PY - 2022/12

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N2 - 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.

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

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