University of Groningen
New rules, new tools
Niessen, Anna Susanna Maria
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Publication date: 2018
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Niessen, A. S. M. (2018). New rules, new tools: Predicting academic achievement in college admissions. Rijksuniversiteit Groningen.
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New Rules, New Tools:
Predicting Academic Achievement in
College Admissions
515949-L-bw-niessen 515949-L-bw-niessen 515949-L-bw-niessen 515949-L-bw-niessen Processed on: 5-1-2018 Processed on: 5-1-2018 Processed on: 5-1-2018
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© 2018 New rules, new tools: Predicting academic achievement in college admissions. A. Susan M. Niessen, University of Groningen
ISBN: 978-94-034-0385-4 (print version) ISBN: 978-94-034-0384-7 (electronic version) Cover design: Ilse Niessen, Ipskamp Printing Printed by: Ipskamp Printing
The research presented in this thesis was funded by the innovation budget of the Faculty of Behavioural and Social Sciences and the Faculty of Law of the University of Groningen.
All rights reserved. No part of this publication may be reproduced or transmitted in any form by any means, without permission of the author.
New Rules, New Tools
Predicting Academic Achievement in
College Admissions
Proefschrift
ter verkrijging van de graad van doctor aan
de Rijksuniversiteit Groningen
op gezag van de
rector magnificus prof. dr. E. Sterken
en volgens besluit van het College voor Promoties.
De openbare verdediging zal plaatsvinden op
donderdag 15 februari 2018 om 16.15 uur
door
Anna Susanna Maria Niessen
geboren op 27 juli 1990
515949-L-bw-niessen 515949-L-bw-niessen 515949-L-bw-niessen 515949-L-bw-niessen Processed on: 5-1-2018 Processed on: 5-1-2018 Processed on: 5-1-2018
Processed on: 5-1-2018 PDF page: 3PDF page: 3PDF page: 3PDF page: 3
© 2018 New rules, new tools: Predicting academic achievement in college admissions. A. Susan M. Niessen, University of Groningen
ISBN: 978-94-034-0385-4 (print version) ISBN: 978-94-034-0384-7 (electronic version) Cover design: Ilse Niessen, Ipskamp Printing Printed by: Ipskamp Printing
The research presented in this thesis was funded by the innovation budget of the Faculty of Behavioural and Social Sciences and the Faculty of Law of the University of Groningen.
All rights reserved. No part of this publication may be reproduced or transmitted in any form by any means, without permission of the author.
New Rules, New Tools
Predicting Academic Achievement in
College Admissions
Proefschrift
ter verkrijging van de graad van doctor aan
de Rijksuniversiteit Groningen
op gezag van de
rector magnificus prof. dr. E. Sterken
en volgens besluit van het College voor Promoties.
De openbare verdediging zal plaatsvinden op
donderdag 15 februari 2018 om 16.15 uur
door
Anna Susanna Maria Niessen
geboren op 27 juli 1990
515949-L-bw-niessen 515949-L-bw-niessen 515949-L-bw-niessen 515949-L-bw-niessen Processed on: 5-1-2018 Processed on: 5-1-2018 Processed on: 5-1-2018
Processed on: 5-1-2018 PDF page: 4PDF page: 4PDF page: 4PDF page: 4
Promotor
Prof. dr. R.R Meijer
Copromotores
Dr. J.N. Tendeiro
Mr. dr. J.J. Dijkstra
Beoordelingscommissie
Prof. dr. M.Ph. Born
Prof. dr. J. Cohen-Schotanus
Prof. dr. B.A. Nijstad
Contents
Chapter 1 Introduction 7
Chapter 2 Predicting performance in higher education using
content-matched predictors 19
Chapter 3 A multi-cohort study on the predictive validity and construct saturation of high-fidelity curriculum-sampling tests
39
Chapter 4 Curriculum-sampling and differential prediction by
gender 65
Chapter 5 Measuring noncognitive predictors in high-stakes contexts: The effect of self-presentation on self-report instruments used in admission to higher education
87
Chapter 6 Applying organizational justice theory to admission into
higher education: Admission from a student perspective 105 Chapter 7 The utility of selective admission in Dutch higher
education 127
Chapter 8 Selection of medical students on the basis of
nonacademic skills: Is it worth the trouble? 139 Chapter 9 On the use of broadened admission criteria in higher
education 149
Chapter 10 Discussion 175
References 189
Appendices 215
Samenvatting (in Dutch) 226
Dankwoord 233
Curriculum Vitae 235
515949-L-bw-niessen 515949-L-bw-niessen 515949-L-bw-niessen 515949-L-bw-niessen Processed on: 5-1-2018 Processed on: 5-1-2018 Processed on: 5-1-2018
Processed on: 5-1-2018 PDF page: 5PDF page: 5PDF page: 5PDF page: 5
Promotor
Prof. dr. R.R Meijer
Copromotores
Dr. J.N. Tendeiro
Mr. dr. J.J. Dijkstra
Beoordelingscommissie
Prof. dr. M.Ph. Born
Prof. dr. J. Cohen-Schotanus
Prof. dr. B.A. Nijstad
Contents
Chapter 1 Introduction 7
Chapter 2 Predicting performance in higher education using
content-matched predictors 19
Chapter 3 A multi-cohort study on the predictive validity and construct saturation of high-fidelity curriculum-sampling tests
39
Chapter 4 Curriculum-sampling and differential prediction by
gender 65
Chapter 5 Measuring noncognitive predictors in high-stakes contexts: The effect of self-presentation on self-report instruments used in admission to higher education
87
Chapter 6 Applying organizational justice theory to admission into
higher education: Admission from a student perspective 105 Chapter 7 The utility of selective admission in Dutch higher
education 127
Chapter 8 Selection of medical students on the basis of
nonacademic skills: Is it worth the trouble? 139 Chapter 9 On the use of broadened admission criteria in higher
education 149
Chapter 10 Discussion 175
References 189
Appendices 215
Samenvatting (in Dutch) 226
Dankwoord 233
Curriculum Vitae 235
