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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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Other version

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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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All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, for reasons other than personal use, without prior written permission from the author.

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.

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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

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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

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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

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