Once the best student always the best student? Predicting graduate study success using undergraduate academic indicators: Evidence from research masters’ 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’ 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 examin... Mehr ...
| Verfasser: | |
|---|---|
| Dokumenttyp: | Artikel |
| Erscheinungsdatum: | 2022 |
| Reihe/Periodikum: | International Journal of Selection and Assessment ; volume 30, issue 4, page 579-595 ; ISSN 0965-075X 1468-2389 |
| Verlag/Hrsg.: |
Wiley
|
| Schlagwörter: | Management of Technology and Innovation / Strategy and Management / General Psychology / Applied Psychology / General Business / Management and Accounting |
| Sprache: | Englisch |
| Permalink: | https://search.fid-benelux.de/Record/base-27238503 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | http://dx.doi.org/10.1111/ijsa.12397 |
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.