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Using structural equation modeling to investigate change in health-related
quality of life
Verdam, M.G.E.
Publication date
2017
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Citation for published version (APA):
Verdam, M. G. E. (2017). Using structural equation modeling to investigate change in
health-related quality of life.
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Using Structural Equation Modeling to Investigate Change in
Health-Related Quality of Life
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ISBN 978-94-028-0538-3
Layout by Rozemarijn Klein Heerenbrink, persoonlijkproefschrift.nl Cover image “Jeune fille devant un miroir” by Pablo Picasso, 1932 Printed by Ipskamp Printing B.V.
Using Structural Equation Modeling to Investigate Change in
Health-Related Quality of Life
ACADEMISCH PROEFSCHRIFT
ter verkrijging van de graad van doctor aan de Universiteit van Amsterdam
op gezag van de Rector Magnificus prof. dr. ir. K. I. J. Maex
ten overstaan van een door het College voor Promoties ingestelde commissie, in het openbaar te verdedigen in de Agnietenkapel
op donderdag 6 april 2017, te 14.00 uur
door
Mathilde Gertrude Esther Verdam geboren te Hilversum
Overige leden: Prof. dr. N. K. Aaronson Universiteit van Amsterdam Prof. dr. D. Borsboom Universiteit van Amsterdam Prof. dr. C. V. Dolan Vrije Universiteit Amsterdam Prof. dr. P. M. Kroonenberg Universiteit Leiden
Prof. dr. V. Sébille Université de Nantes Prof. dr. A. H. Zwinderman Universiteit van Amsterdam Faculteit der Maatschappij- en Gedragswetenschappen
Contents
Chapter 1 Introduction 7
Chapter 2 Response shift detection through then-test and structural equation modeling: Decomposing observed change and testing tacit assumptions.
23
Chapter 3 The analysis of multivariate longitudinal data: An instructive explanation of the longitudinal three-mode model
39
Chapter 4 Measurement bias detection with Kronecker product restricted models for multivariate longitudinal data when the number of measurement occasions is large
67
Chapter 5 Taking into account the impact of attrition on the assessment of response shift and true change: A multigroup structural equation modeling approach
83
Chapter 6 Using structural equation modeling to detect response shift and true change in discrete variables: An application to the items of the SF-36
103
Chapter 7 Using structural equation modeling to detect item bias: Comparison with other item bias detection methods
141
Chapter 8 The impact of response shift on the assessment of change: Calculation of effect-size indices using structural equation modeling
155
Chapter 9 Summary and general discussion 169
References 181
Summary in Dutch (Samenvatting) 195
Acknowledgements (Dankwoord) 200
Author contributions 201