<<

Curriculum Vitae

Personal information Name: Rebecca Margaretha Kuiper Date of birth: 11 January 1982 Contact: Department of Methodology and Statistics Faculty of Social and Behavioural Sciences University 3584 CH Utrecht Room C1.10 Telephone: 0(031)30 – 253 4563 E-mail: [email protected] Homepage: http://www.uu.nl/staff/RMKuiper

Summary I am an Assistant Professor at the University Utrecht Department of Methods and Statistics. My specializations are model selection (using information criteria), theory-based hypotheses, Bayesian evidence synthesis, and modeling cross-lagged relationships (using a random-intercept cross-lagged panel model or a discrete-time or continuous-time first-order vector autoregressive model).

Professional expertise 2013 – present Assistant professor; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, . (1.0 fte) 2012 – 2013 Lecturer methods and statistics; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University. (0.4 fte) 2011 – 2013 Postdoctoral fellow; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University. (0.6 fte) 2010 – 2012 Junior statistician; Organisation for Applied Scientific Research (TNO), Quality of Life, Prevention and Health Care, Leiden. (October 2010 – April 2011 0.6 fte; April 2011 – April 2012 0.4 fte) 2007 – 2011 PhD student; Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University. (In total, 3.7 fte) Graduation date: January 27, 2012. Dissertation: Model selection: How to evaluate order restrictions. Supervisor: Prof. dr. H. Hoijtink. 2006 Data-analyst; Blue Flame Data (New York), . (on average 0.2 fte) 2005 Trainee at Trendbox B.V. (), writing thesis, Groningen. (1 fte) 1996 – 2005 Various moonlight jobs

Research grants 2016 – 2020 VENI-grant: Innovational Research Incentives Scheme Veni from the Dutch Research Council (NWO). This is a prestigious career development award for the top 10% of researchers in the Netherlands. Project Studying time-lagged effects using ESM-data: Statistics lag behind, it is time to go continuously (December 2016 – November 2020; €250.000). 2012 – 2014 Grant financed by Utrecht University (internal Aspasia funding to support women in research) to grant research time to develop a second research line. (September 2012 – September 2014, 0.1 fte research time; €13.100). 2015 Travel grant, International Conference of Psychological Science (ICPS).

Education 2005 – 2007 Human Behaviour in Social Contexts (research master), University of Groningen (in Dutch: Rijksuniversiteit Groningen). Major in Psychometrics and Statistics (degree on March 2007 – cum laude). 2003 – 2004 Hanken School of Economics, Helsinki (Finland). 2000 – 2005 Econometrics and Operations Research (master; in Dutch: doctoraal), University of Groningen. Major in Operations Research & major in Econometrics (degree on November 2005). 2000 – 2005 ‘Honours-traject’ at research school SOM, University of Groningen. 1994 – 2000 Gymnasium (Dollard College, Bellingwolde and Winschoten).

Research Research Summary My first line of research is an independent continuation of my PhD-projects. In this line, I developed (together with PhD-students) hypothesis-evaluation techniques called GORIC and GORICA: information criteria that can evaluate theory-based hypotheses. This led to several first- and last- author publications in prestigious journals, such as Journal of Statistical Software, Biometrika, Psychological Methods, and Structural Equation Modelling, and to open-source software (R packages, (shiny) web applications, and stand-alone software) with accompanying tutorials/vignettes. Internationally and nationally, I am a renowned expert in the field of evaluating theory-based hypotheses using information criteria, as is illustrated by the following: • Researchers from psychology/psychometrics, sociology, and biostatistics contacted me after reading my articles: I have established a network with researchers from, for example, Hannover, Christchurch, Melbourne, Ghent, and Hasselt. This has, among other things, led to joint publications and software development. • Researchers from Germany, Australia, and Belgium visited me and/or invited me to visit them; e.g., Prof.dr. Ludiwg Hothorn (Institute of Biostatistics, Hannover), Dr. Yves Rosseel (Ghent University), and Dr. Bernd Weiss (GESIS-Leibniz-Institute for the Social Sciences, Mannheim). • I have been invited to i. present my work 15 times and give 8 workshops at (inter)national universities, research institutes, and conferences (e.g., for three universities in Hannover, at the GESIS-Leibniz- Institute, and the University-Medical-Center-Amsterdam); ii. organize and chair a Bayesian session of ASA-Spring-Methodology-Conference; and iv. be a statistical consultant at The-Hidden-Epidemic-Symposium organized by the Augeo Foundation. Additionally, I visit international conferences, give presentations and workshops, and teach in postgraduate courses. • JASP (via Prof.dr. Eric-Jan Wagenmakers) is in the process of including GORICA. • I have served as a reviewer for 30+ international journals.

After my PhD, I started an independent second research line in the field of modeling lagged relationships. Utrecht University awarded me research time, using NWO Aspasia funding, for working in this area. In 2016, I received the prestigious Veni grant, in which I brought these two research topics together such that researchers can model individually-varying cross-lagged relationships and evaluate their hypotheses regarding these relationships. I am participating in the Dutch-Flemish network group regarding Time Series and Network Dynamics (DynaNet), consisting of psychometricians, statisticians and substantive researchers. My publications are again in prestigious journals: Psychological Methods and Structural Equation Modelling. Also on this topic, I am considered an expert: I receive invitations to presentations and workshops and to supervise PhD- students who have their own funding. I brought/bring both research topics together such that researchers can model individually-varying cross-lagged relationships (with a multivariate multilevel continuous-time model) and evaluate their hypotheses regarding these relationships.

Due to the calls for replications, I recently connected my two research lines with meta-analysis: I developed continuous-time meta-analysis for cross-lagged models to correct for the time-interval dependency of the lagged-estimates (CTmeta; Kuiper and Ryan, 2020; Kuiper, 2020); and applied the GORICA to the resulting overall lagged-estimates (Kuiper, accepted). I notice(d) that a wealth of valuable information remains unexploited. To prevent this from being research waste and thus a waste of money, I will (further) develop, evaluate, and popularized evidence synthesis: the aggregation of support for a central hypothesis. Recently, I also extended the use of the GORIC (e.g., Vanbrabant et al., 2020) and developed GORICA (Kuiper et al., 2020; Altınısık et al., unpublished1), which aids the development of evidence synthesis. Thus, now, it is time for the next step: Use my model selection expertise in aggregating evidence to develop evidence synthesis methods, using GORIC(A) and BMS. This method will harness the combined potential of heterogeneous and homogeneous studies: which increases the power, robustness, and generalizability of findings; and it will render previously inaccessible insights into societal problems. I will apply my newly developed methods with, among others, the following substantive researchers from various fields: Dr. Bernd Weiss and his group in psychology and economics (GESIS-Leibniz-Institute for the Social Sciences in Mannheim), Dr. Matthias Bluemke in managerial psychology (GESIS-Leibniz-Institute for the Social Sciences in Mannheim), Simon Ellerbrock in political science (Mannheim Centre for European Social Research, University of Mannheim), Prof.dr. Peter Kuppens psychology using cross-lagged models (Psychology and Educational Sciences, Leuven University), Prof.dr. Henk Aarts in the field of nudging in social psychology (Psychology Department of Utrecht University), and Prof.dr. Werner Raub and Prof.ir. Vincent Buskens in sociology (Sociology Department, Utrecht University). Furthermore, Prof. Dr. Raub and Prof. Dr. Buskens contacted me for my expertise in aggregating Bayesian evidence. We will be working with Prof. Dr. Klugkist and Lion Behrens on a (applied) sociological and a methodological paper.

International collaboration • Dr. Bernd Weiss, GESIS Leibniz Institute for the Social Sciences Mannheim, Germany. He invited me for presentations, workshops and visits at the GESIS Leibniz Institute for the Social Sciences. We will work on applications of my Bayesian evidence aggregation method. • Dr. Frank Zenker Department of Philosophy & Cognitive Science, Lund University, Sweden. Together with Erich H. Witte, Dr. Thomas Schäfer, Antonia Krefeld-Schwalb, and Prof. Dr. Hoijtink in a replication research project. • Daniel Heck, Mannheim University, Germany. We worked on implementing my work (i.e., GORIC and GORICA) in his R package multinomineq (concerning evaluating informative hypotheses in multinomial models). • Member of Consortium on Individual Development (CID) in which researchers from multiple universities and disciplines in the Netherlands collaborate to investigate why some children thrive and others do not. CID is funded through the Gravitation program of the Dutch Ministry of Education, Culture, and Science and the Netherlands Organization for Scientific Research (NWO grant number 024.001.003). • Dr. Peter Kuppens; Department of Psychology, University of Leuven, Belgium. We will work together on fine-tuning the statistical model, hypothesis-evaluation tool, and software. Furthermore, we will apply the model and tool to ESM-data of his. This will lead to at least one empirical publication with respect to continuous-time modeling. • Prof. Dr. Francis Tuerlinckx; Department of Psychology, University of Leuven, Belgium. We will work on technical aspects of estimating a Bayesian multi-level continuous-time model without unrealistic assumptions. This will lead to at least two technical publications. • Dr. Oravecz; Department of Human Development and Family Studies, The Pennsylvania State University, USA. We will extend the BHOUM-software. • Prof. Dr. Ludwig Hothorn; Institute of Biostatistics, Leibniz University, Hannover, Germany. This led to the publication Identification of the Minimum Effective Dose for Normally Distributed Endpoints Using a Model Selection Approach (2013) and we are working on an article with working title Identification of the mode of inheritance in population-based association studies with quantitative phenotypes using an order-restricted model selection approach. • Dr. Daniel Gerhard; School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand. This led to the publication together with Professor Hothorn. Furthermore, we created an R package GORIC. • Martin Otava; Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Universiteit Hasselt, Belgium. This led to a publication in The R Journal (IsoGeneGUI: Multiple Approaches for Dose-Response Analysis of Microarray Data Using R), where Professor Hothorn, Dr. Gerhard and me are one of the co-authors. This article describes the methods, o.a. the GORIC, used in an R package (IsoGeneGUI) containing visualization tools and graphics. • Prof. Dr. Mervyn J. Silvapulle; Department of Econometrics and Business Statistics, Monash University, Australia. This led to two publications, namely An Akaike-type information criterion for model selection under inequality constraints (2011) and Generalization of the order-restricted information criterion for multivariate normal linear models (2012).

National collaboration • Prof. Dr. Tineke Oldehinkel; Department of Psychiatry, the University Medical Center Groningen (UMCG), the Netherlands. This collaboration leads to publications in two research lines of mine. First, it will lead to at least two publications (together with my PhD-student) on work on model selection criteria; where we already started with the first article. Second, this will lead to at least one empirical publication with respect to continuous-time modelling, by applying the statistical model and hypothesis-evaluation tool to ESM-data of her. We will also work together on fine- tuning the statistical model, hypothesis-evaluation tool, and software. • Prof. Dr. Marieke Wichers; Faculty of Medical Sciences, the University Medical Center Groningen (UMCG), the Netherlands. We will work together on fine-tuning the statistical model, hypothesis- evaluation tool, and software (VENI-project). Furthermore, we will apply the model and tool to ESM-data of his. This will lead to at least one empirical publication with respect to continuous- time modeling. • Prof. Dr. Werner Raub; Department of Sociology/ICS, Utrecht University, the Netherlands. This led to the publication Combining Statistical Evidence From Several Studies: A Method Using Bayesian Updating and an Example From Research on Trust Problems in Social and Economic Exchange (2013) and we are working an article called Combining statistical evidence regarding multiple parameters from several studies and we are working an article with working title Combining statistical evidence regarding multiple parameters from several studies. • Prof. ir. Vincent Buskens; Department of Sociology/ICS, Utrecht University, the Netherlands. This led to the publication (and the ones in progress) together with Professor Raub. • Several people from Netherlands Organisation for Applied Scientific Research (TNO) Leiden, for example, Claire Bernaards, Stef van Buuren, Elise Dusseldorp, Marijke Hopman-Rock, Paul Kocken, Reinout Stoop, and Janine Stubbe. This led to two publications: Prevention of onset and progression of basic ADL disability in community dwelling older adults: A meta-analysis (2013) and Effecten van het lesprogramma ‘Levensvaardigheden’ op gezondheid en gedrag van leerlingen van het voortgezet onderwijs (2013). And the following submissions: i) Decreased use of laboratory animals through optimization of experimental design for efficacy studies; ii) Effects of a Social and Emotional Learning School Curriculum for Adolescents on Self-efficacy and Mental Wellbeing; a cluster randomized controlled intervention study; iii) Meer jongeren in beweging door het project ‘VMBO in beweging’?; iv) Intrinsic and extrinsic risk factors for tennis injuries: A survey-based prospective study at three tennis academies in the Netherlands; v) A first study of adverse childhood experiences and their (hypothetical) burden of disease in the Netherlands.

Workshops (10) Invited (8) • Workshop “restriktor: beyond classical null-hypothesis testing”, S4 conference, Utrecht University. June, 2021 (one-year delayed due to corona). • Workshop on Inequality constrained model selection. Ghent University, January, 2020. • 4-day workshop “Modeling the dynamics of intensive longitudinal data”, TESC, Tilburg University, Tilburg. January, 2020. • Hands-on workshop “Hypothesis testing & meta-analysis 3.0 in R”, GESIS Leibniz Institute for the Social Sciences, Mannheim, Germany. December, 2019. • 4-day workshop “Hypothesis Evaluation: p-values, Bayes factor, and information criteria”, GESIS Leibniz Institute for the Social Sciences, Mannheim, Germany. November, 2019. • Pre-conference workshop “Introduction to Bayesian Statistics”. Conference of the European Survey Research Association, Zagreb, Croatia. July, 2019. • 2 Workshops “The world beyond null hypothesis testing: Evaluation of informative hypotheses”, Together we (re)search Conference, Utrecht. February, 2019. • 3-day workshop “Introduction to R”, Municipal Health Service (Dutch: GGD) West-Brabant, . December, 2018. Other (2) • Pre-conference workshop / short course “Meta-analysis 2.0: Introduction to combining multiple studies using model selection”. Conference of the European Survey Research Association, online. July, 2021. • Workshop “Analyzing intensive longitudinal data with n=1 and multilevel autoregressive models”. Society for Ambulatory Assessment, Syracuse, USA. June, 2019.

International presentations (21) Invited (7) • Hypothesis testing & meta-analysis 3.0: Aggregating evidence for theory-based hypotheses from studies with diverse designs. GESIS-colloquium, GESIS Leibniz Institute for the Social Sciences, Mannheim, Germany. December, 2019. • Combining evidence from multiple studies. Ninth International Conference on Social Science Methodology (RC33 Conference - session on "Systematic Reviews & Meta-Analyses in the Non- Experimental Social Sciences"), University of Leicester, UK. September, 2016. • Confirmatory model selection: GORIC. VI European Congress of Methodology, European Association of Methodology (EAM), Utrecht. July, 2014. • Directly evaluating expectations or testing the null hypothesis? Institute of Biostatistics, University of Hannover, Germany. May, 2011. • Comparisons of means using confirmatory approaches. Hannover Biometry Seminars (organized by three universities of Hannover (LUH, MHH, TIHO)), University of Hannover, Germany. May, 2011. • Combining evidence for multiple studies. American Sociological Association (ASA) Spring Methodology Conference, Tilburg University. May, 2011. • AIC in presence of missing data: What do Mplus and AMOS do wrong? Second Mplus User meeting, Utrecht University. March, 2011. Other (14) • A Bayesian method for synthesizing evidence from diverse statistical models. Chair of the 9th European Congress of Methodology (EAM2020), Valencia, July, 2021 (one-year delayed due to corona). • How to do a meta-analysis on (cross-)lagged relationships: Considering the role of the time interval. Conference of the European Survey Research Association, Zagreb, Croatia. July, 2019. • A (Bayesian) method for synthesizing evidence from diverse statistical models. Conference of the European Survey Research Association, Zagreb, Croatia. July, 2019. • How to do a meta-analysis on (cross-)lagged relationships: Considering the role of the time interval. Society for Ambulatory Assessment, Syracuse, USA. June, 2019. • Studying time-lagged effects: To be continued or to be considered. IMPS Psychometric Society, University of Zürich, . July, 2017. • Studying time-lagged effects using ambulatory assessment-data: It is time to go continuously. The 5th Biennial Conference of the Society for Ambulatory Assessment, University of Luxembourg, Luxembourg. June, 2017. • Correlated residuals in lagged relationships: wrong lag and/or omitted variables?. Dynamic Systems Modeling Expert Meeting, University of Luxembourg, Luxembourg. June, 2017. • Studying time-lagged effects using ESM-data: Statistics lag behind, it is time to go continuously. The 11th International Multilevel Conference, Utrecht. April, 2017. • Studying time-lagged effects using ESM-data: Statistics lag behind, it is time to go continuously. Dynamic Systems Modeling Expert Meeting, University of Aberdeen, UK. August, 2016. • Go continuously. Seminar Utrecht2Leuven, University of Leuven, Belgium. February, 2016. • Evaluation of informative hypotheses: The way to go(ric), a confirmatory model selection criterion (Poster). International Convention of Psychological Science, Amsterdam. March, 2015. • Generalization of the order-restricted information criterion (Poster). International Workshop on Statistical Modelling, University of Glasgow, Scotland, UK. July, 2010. • Evaluating expectations or testing the null hypothesis? European Conference on Developmental Psychology, Vilnius University, Lithuania. August, 2009. • Comparison of means using exploratory and confirmatory approaches (Poster). International Society for Bayesian Analysis, Hamilton Island, Australia. July, 2008.

National presentations (11) Invited (8) • Invited lecture about theory-based model selection using AIC-type criteria for our Research Master ‘Methodology and Statistics for the Behavioural, Biomedical and Social Sciences’. Utrecht University, 2020. • Evaluating informative hypotheses using GORIC, an order-restricted information criterion. Biostatistics seminar, VUMC Amsterdam. June, 2014. • Testing the null hypothesis or directly evaluating expectations?, TNO Leiden. January, 2012. • Confirmatory model selection: The GORIC. Lunch meeting, Utrecht University. December, 2011. • Directly evaluating expectations: Bayesian model selection, TNO . June, 2010. • Invited lecture about Confirmatory ANOVA for our Research Master ‘Methodology and Statistics for the Behavioural, Biomedical and Social Sciences’, Utrecht University. 2008. • Comparison of means using exploratory and confirmatory approaches. Bayesian Workshop Inequality Constrained Modeling, Utrecht University. October, 2008. • Comparison of means using exploratory and confirmatory approaches. Workshop at Utrecht University. June, 2008. Other (3) • Model selection criteria: How to evaluate order restrictions. 21st IOPS Winter Conference, Leiden University. December, 2011. • Confirmatory model selection. 20th IOPS Winter Conference, Utrecht University. December, 2010. • Comparison of means using exploratory and confirmatory approaches. 18th IOPS Winter Conference, Leiden University / . December, 2008.

Supervising, Coordinating, Teaching, & Consulting Summary • Supervising Bachelor’s, Master’s, and PhD students. • Coordinating advertisement for our Research Master ‘Methodology and Statistics for the Behavioural, Biomedical and Social Sciences’. • Coordinating Bachelor, Master, and Postdoctoral courses. • Teaching in Bachelor, Master, and Postdoctoral courses. • Doing statistical consults at Utrecht University, University of Groningen, and at Netherlands Organisation for Applied Scientific Research (TNO).

The specifics

Supervision PhD students • Chuenjai Sukpan (2019– present) Project: Inequality-constrained model selection (for dynamical models). This will lead to multiple last-author publications, both technical and empirical. • Oisín Ryan (2018– 2020); Cum Laude. Project: Dynamic Systems and Causal Structures in Psychology: Connecting data and Theory. This has led to one co-authored book chapter, two first-author publications, and will lead to one co-authored publication. Afterwards, he became a post-doctoral fellow and assistant professor at Utrecht University, the Netherlands. • Yasin Altinisik (2014– 2018). Project: Generalized order restricted information criteria (GORICA). This will lead to multiple last-author publications, both technical and empirical. Afterwards, he became a post-doctoral fellow at Sinop University, . Research master students • Lion Behrens (2017-2018) Thesis: Evidence Synthesis via Bayesian Evaluation of Informative Hypotheses This will lead to a last-author publication and some co-authored applied publications. Afterwards he enrolled in a PhD program at Mannheim University, Germany. • Henk Jan Stevens (2014-2015). Research paper: A comparison of underlying data models in model selection with missing data. Thesis: A comparison of underlying prediction models of missing data when using EM algorithm in model selection. Bachelor students • Tim Oosterhoek Thesis: Different methods for using the GORICA on incomplete datasets. • Florian Laane Thesis: Who does not honour small things, is not worthy of great things: An Investigation of a small-sample AIC-like criterion which can evaluate theory-based hypotheses. • Thom Volker Thesis: Who does not honour small things, is not worthy of great things: An Investigation of the small-sample AIC. • Ilva Scheerman (2017); Honours student neuropsychology. Creative Challenge: jags versus stan (in R). • Stijn Timmer (2014). Thesis: Een Vergelijking Tussen Modelselectie en Nulhypothesetesten: GORIC vs ANOVA F- test. • Tim Nederhof (2010-11). Thesis: Performance of Confirmatory Techniques When the ANOVA Assumption of Homogeneity is Violated. This work is contained in the publication Kuiper, Nederhoff, and Klugkist (2015).

Coordination & Responsibilities • M&S Utrecht summer school & Education for professionals (Utrecht University, 2021 – present) • Mentor for students of the Research Master Methodology and Statistics for the Behavioural, Biomedical and Social Sciences (Utrecht University, 2021 – present) • Multivariate statistics in practice for Research Masters students from Development and Socialisation in Childhood and Adolescence (Utrecht University, 2020 – present) • Postdoctoral course: Hypothesis Evaluation: p-values, Bayes factor, and information criteria (Utrecht University, 2017 – present) • Postdoctoral course: Introduction to Structural Equation Modelling using Mplus (Utrecht University, 2016 – present) • Postdoctoral course: Advanced course on using Mplus (Utrecht University, 2016 – present) • Public relations manager for the Research Master Methodology and Statistics for the Behavioural, Biomedical and Social Sciences (Utrecht University, 2014 – present) • Course: Applied sociological regression analysis (Utrecht University, 2014 – 2016; jointly) • Course: Methods and statistics (1+2) for pre-master students (Utrecht University, 2013 – 2018)

Teaching Teaching certificates • Teaching Qualification (in Dutch: Basiskwalificatie Onderwijs (BKO)). • Certificate Teaching of the Teaching Qualification (in Dutch: deelcertificaat Onderwijs geven). Teaching experience at Utrecht University • Postdoctoral course: A gentle introduction to Bayesian Statistics (Utrecht University, 2021 – present) • Multivariate statistics in practice for Research Masters students from Social Sciences, like Development and Socialisation in Childhood and Adolescence (Utrecht University, 2020 – present) • Postdoctoral course: Introduction to Structural Equation Modelling using Mplus (Utrecht University, 2020 – present) • Postdoctoral course: Advanced course on using Mplus (Utrecht University, 2020 – present) • Postdoctoral course: Modeling the dynamics of intensive longitudinal data (Utrecht University, 2019 – present). • Postdoctoral course: Hypothesis Evaluation: p-values, Bayes factor, and information criteria (2018 – present). • Methods and statistics 3 (Advanced Research Methods and Statistics) for psychology students (2018 – present). • Applied sociological regression analysis (2012 – 2016). • Methods and statistics 1+2 for pre-master students (2012 – 2017). • Bayesian Statistics in R for research master students (2012). • Methods and statistics II - Multivariate analysis for University College Utrecht (2008/09, 2012). • Invited lecture about Confirmatory ANOVA for research master students (2008). • Bayesian Statistics for IOPS Summer School (2008). Teaching experience in Groningen • Gave extra lessons (a.o., via StudentsPlus) in several courses to (university) students of various faculties (a.o., Econometrics and Social Science) and in economics and mathematics to high schools students (Groningen). • Teaching-assistant at Econometrics & Operational Research. (University of Groningen, 0.1 fte) • Teaching-assistant at Marketing & Market Research. (University of Groningen, 0.2 fte) • Teaching-assistant at the Faculty of Management Sciences. (University of Groningen, 2x 0.4 fte)

Consulting • Utrecht University: ✓ Statistical and methodological consulting regarding theses of students (bachelor and master) and dissertations of PhD students and for staff at the Faculty of Social and Behavioral Sciences. (2013 – present) ✓ Statistical and methodological consulting regarding theses of students (bachelor and master) at the Faculty of Social and Behavioral Sciences. (2007 – 2012, 0 – 0.1 fte) ✓ Analyzing data and providing statistical and methodological consulting services in projects of Netherlands Organisation for Applied Scientific Research (TNO). (April 2012 – August 2012, 0.4 fte) • Netherlands Organisation for Applied Scientific Research (TNO), Quality of Life, Prevention and Health Care, Leiden: Analyzing data and providing statistical and methodological consulting services in projects of TNO. (October 2010 – April 2011, 0.6 fte; April 2011 – April 2012, 0.4 fte) • University of Groningen: Statistical and methodological consulting for students of several faculties, but mainly of the Faculty of Behavioural and Social Sciences. (2006 – 2007, 0.2 fte)

Other (academic) activities International activities Visits • Invited visit Dr. Yves Rosseel and his research group (Ghent University, January, 2020). • Invited visits GESIS and Bernd Weiss (GESIS Leibniz Institute for the Social Sciences, Mannheim, December, 2019). • Visit of Lion Behrens from Mannheim University (Utrecht, January, 2019). • Visits Professor Tuerlinckx (Leiden, October 2012; Leuven, October and December 2012; February 2016). • Invited visit Institute of Biostatistics and Professor Ludwig Hothorn (Hannover, May 2011). • Visit of Professor Ludwig Hothorn (Utrecht, January 2012). • Visit of Professor Silvapulle (Utrecht, October 2008). Other • Biannual lab meetings of our Flemish-Dutch network Time Series and Network Dynamics regarding the analyses of cross-lagged relationships and individual differences within the dynamics. These meetings take place at universities of the members, e.g., University of Leuven (Professor Tuerlinckx), Utrecht University and University of Amsterdam (UvA; Professor Borsboom). • Invited organizer & chair of Bayesian session of ASA Spring Methodology Conference (Tilburg, May 2011). • Invited statistical consultant at The Hidden Epidemic Symposium organized by the Augeo Foundation (, November 2010). • Reviewer for: BMC Geriatrics, Expert Systems With Applications, Current Psychology, Neural Computing and Applications, Mathematical and Computational Applications, Developmental Cognitive Neuroscience, Computational Statistics and Data Analysis, Mathematics, Psychometrika, Structural Equation Modelling, Development and Psychopathology, Plos one, Journal of Research in Personality, Psychological Medicine, British Journal of Educational Psychology, Neural Computing and Applications, Statistica Sinica, Psychological Methods, International Conference on Physics, Mathematics and Statistics (ICPMS 2018), Biometrika, Journal of Family Psychology, Social Development, Multivariate Behavioral Research, Journal of the American Statistical Association, European Journal of Personality, Statistics, International Journal of Behavioral Development, Journal of Biopharmaceutical Statistics, Journal of Applied Statistics, Journal of Statistical Planning and Inference, British Journal of Mathematical and Statistical Psychology, Journal of Educational and Behavioral Statistics; Statistica Neerlandica; and research proposals for Interuniversity Graduate School of Psychometrics and Sociometrics (IOPS). • Studied at Hanken School of Economics in Helsinki, Finland (2003-2004).

Organisation of scientific meetings 2019 Replication day, organizer; Research Network “Netherlands Society for Statistics and Operations Research (VvS+OR)”. 2017 Causality day, organizer; Research Network “Netherlands Society for Statistics and Operations Research (VvS+OR)”.

(Board) Membership • Panel-member of the NWO-Veni-committee (Behaviour and Education) 2019-2020. • Member of Society of Ambulatory Assessment (2018 – present). • Board member of the social-sciences part of the Netherlands Society for Statistics and Operations Research: o Chair and webmaster (2020 - present). o Treasurer and webmaster (2018 - 2020). o General board member (2015 - 2018). • Member of Consortium on Individual Development (CID; NWO grant number 024.001.003). • Member of the Netherlands Society for Statistics and Operations Research (VvS+OR; 2015- present). • Member of IOPS (Interuniversity Graduate School of Psychometrics and Sociometrics; Student member 2007-2012, Post-doc member 2012-2013, Full member 2013-present)

Postdoctoral training • Multilevel analysis in R, Utrecht University (ARISTO conference centre in Amsterdam). • Meta-analysis 2 (online course). • Current methods for meta-analysis, University . • Optimization and numerical methods in statistics, University of Leuven (Belgium). • Mixed models and incomplete data, University of Leuven (Belgium). • Academic writing, James Boswell Instituut, Utrecht University. • NWO talent class wright it right, NWO, The Hague. • WinBUGS/OpenBUGS, Utrecht University. • Bayesian data analysis: From theory to application and back again, University of Leuven (Belgium). • Graduate training course in mathematical statistical & applied probability (Bayesian course), the Royal Statistical Society, University of Sheffield (UK). • Statistiek in Vogelvlucht, University of Groningen.

Organizational, non-academic activities • Founder, president, secretary, treasurer, and financial committee of ‘administrating association’ (in Dutch: beheerdersvereniging). (2012 – 2015, 2016 – 2018, 2019 – present) • Organized activities for Department of Methodology and Statistics at Utrecht University (a.o., department-activities, receptions, and brainstorm-day). (2007 – present) • Organized Festival Kleurrijk Zeist. (2008) • International Student Union of Hanken: Svenska Handelhögskolans Studentkår (SHS) • Active member sports union, UFC Groningen. (2006 – 2007) • Active member study union, VESTING, several positions and committees. (2000 – 2005) • Crew member Kommissie Eerstejaars Introductie (accompanying first year students of University of Groningen & Higher Vocational Education Groningen). (2004) • Crew member of Wings (accompanying foreign students). (2002)

Publications Peer-reviewed articles O denotes open acces • Altınısık, Y., and Van Lissa, C. J., Oldehinkel, A. J., Hoijtink, H., and Kuiper, R. M. (accepted March 2021). Evaluation of Inequality Constrained Hypotheses Using a Generalization of the AIC. Psychological Methods • O Kuiper, R. M. (accepted October 2020). AIC-type theory-based model selection for structural equation models. Structural Equation Modeling: A Multidisciplinary Journal (Teachers’ Corner). https://doi.org/10.1080/10705511.2020.1836967 • O Kuiper, R. M. (accepted September 2020). Evaluating causal dominance of CTmeta-analyzed lagged regression estimates. Structural Equation Modeling: A Multidisciplinary Journal (Teachers’ Corner). https://doi.org/10.1080/10705511.2020.1823228 • O van Tuin, L., Schaufeli, W. B., van , W., and Kuiper, R. M. (2020). Business Results and Well-being: an Engaging Leadership Intervention Study. International Journal of Environmental Research and Public Health, 17(12), 4515. https://doi.org/10.3390/ijerph17124515 • O Kuiper, R. M. and Ryan, O. (2020). Meta-analysis of lagged regression models: A continuous- time approach. Structural Equation Modeling: A Multidisciplinary Journal, 27(3), 396–413. • Vanbrabant, L., Van Loey, N., and Kuiper, R. M. (2020). Evaluating a theory-based hypothesis against its complement using an AIC-type information criterion with an application to facial burn injury. Psychological Methods, 25(2), 129–142. • Pannebakker, F. D., van Genugten, L., Diekstra, R. F. W., Gravesteijn, C., Fekkes, M., Kuiper, R., and Kocken, P. L. (2019). A Social Gradient in the Effects of the Skills for Life Program on Self- Efficacy and Mental Wellbeing of Adolescent Students. Journal of School Health, 89(7), 587–595. • O Kuiper, R. M. and Ryan, O. (2018). Drawing Conclusions from Cross-Lagged Relationships: Re- considering the role of the time-interval. Structural Equation Modeling: A Multidisciplinary Journal, 25(5), 809–823. • O Otava, M., Sengupta, R., Shkedy, Z., Lin, D., Pramana, S., Verbeke, T., Haldermans, P., Hothorn, L. A., Gerhard, G., Kuiper, R. M., Klinglmueller, F. and Kasim, A. (2017). IsoGeneGUI: Multiple Approaches for Dose-Response Analysis of Microarray Data Using R. The R Journal, 9(1), 14-26. • Hamaker, E. L., Kuiper, R. M., and Grasman, R. P. P. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20(1), 102–116. (Impact factor 2014: 5.708, 5-year: 6.978; Ranking 2014: 6/223 in Psychology (miscellaneous)) • Kuiper, R. M., Nederhoff, T., and Klugkist, I. (2015). Properties of Hypothesis Testing Techniques and (Bayesian) Model Selection for Exploration-Based and Theory-Based (Order-Restricted) Hypotheses. British Journal of Mathematical and Statistical Psychology, 68(2), 220-245. (Impact factor 2014: 1.527, 5-year: 1.974; Ranking 2014: 54/178 in Statistics & Probability and 42/223 in Psychology (miscellaneous)) • O Kuiper, R. M., Gerhard, D., and Hothorn, L. A. (2014). Identification of the Minimum Effective Dose for Normally Distributed Endpoints Using a Model Selection Approach. Statistics in Biopharmaceutical Research, 6(1), 55-66. (Impact factor 2013: 0.704; 5-year: 0.751; Ranking 2014: 81/178 in Statistics & Probability) • Kocken, P., Pannebakker, F., Fekkes, M., Kuiper, R., Gravesteijn, C., and Diekstra, R. (2013). Effecten van het lesprogramma ‘Levensvaardigheden’ op gezondheid en gedrag van leerlingen van het voortgezet onderwijs. Tijdschrift voor jeugdgezondheidszorg, 45(5), 104-105. • O Kuiper, R. M. and Hoijtink, H. (2013). A Fortran 90 program for the generalized order-restricted information criterion. Journal of Statistical Software, 54(8), 1-19. (Impact factor 2011: 4.010; Ranking 2011: 1/116 in Statistics & Probability and 3/99 in Computer Science, Interdisciplinary Applications) (Impact factor 2013: 3.801, 5-year: 6.538; Ranking 2013: 5/178 in Statistics & Probability, 3/1193 in Computer Science, Interdisciplinary Applications, and in 4/96 Statistics, Probability & Uncertainty) • Kuiper, R. M., Raub, W., Buskens, V., and Hoijtink, H. (2013). Combining Statistical Evidence From Several Studies: A Method Using Bayesian Updating and an Example From Research on Trust Problems in Social and Economic Exchange. Sociological Methods and Research, 42(1), 60-81. (Impact Factor 2011: 1.524; Ranking 2011: 22/138 in Sociology and 11/45 in Social Sciences, Mathematical Methods) (Impact Factor 2013: 2.292, 5-year: 2.864; Ranking 2013: 66/902 in Sociology & Political Science and 24/414 in Social Sciences, Mathematical Methods) • Tak, E., Kuiper, R., Chorus, A., and Hopman-Rock, M. (2013). Prevention of onset and progression of basic ADL disability in community dwelling older adults: A meta-analysis. Ageing Research Reviews, 12, 329-338. (Impact factor 2011: 6.174; Ranking 2011: 3/45 in Geriatrics & Gerontology and 37/181 in Cell Biology) (Impact factor 2013: 7.628, 5-year: 7.517; Ranking 2013: 3/33 in Aging, 36/390 in Biochemistry, and 14/260 in Biotechnology) • Kuiper, R. M., Hoijtink, H. and Silvapulle, M. J. (2012). Generalization of the order-restricted information criterion for multivariate normal linear models. Journal of Statistical Planning and Inference, 142, 2454-2463. (Impact factor 2011: 0.716; Ranking 2011: 70/116 in Statistics & Probability) (Impact factor 2012: 0.713, 5-year: 0.784; Ranking 2012: 63/175 in Statistics & Probability, 37/95 in Statistics, Probability & Uncertainty, and 107/496 in Applied Mathematics) • Kuiper, R. M. and Hoijtink, H. (2011). How to handle missing data in regression models using information criteria. Statistica Neerlandica, 65(4), 489-506. (Impact factor: 0.500; Ranking: 86/116 in Statistics & Probability) (Impact factor 2011: 0.500, 5-year: 0.483; Ranking 2011: 76/95 in Statistics, Probability & Uncertainty and 128/162 in Statistics & Probability) • Kuiper, R. M., Hoijtink, H. and Silvapulle, M. J. (2011). An Akaike-type information criterion for model selection under inequality constraints. Biometrika, 98(2), 495-501. (Impact factor: 1.912; SJR: 3.125; Ranking: 29/85 in Biology, 16/47 in Mathematical & Computational Biology, and 14/116 in Statistics & Probability) (Impact factor 2011: 1.912, 5-year: 2.575; SJR: 3.125; Ranking 2011: 9/203 in Agricultural and Biological Sciences, 8/162 in Statistics and Probability, 9/434 in Applied Mathematics, 10/335 in Mathematics, and 6/95 in Statistics, Probability & Uncertainty) • O Kuiper, R. M., Klugkist, I., and Hoijtink, H. (2010). A Fortran 90 program for confirmatory analysis of variance. Journal of Statistical Software, 34(8), 1-31. (Impact factor: 2.647; Ranking: 5/110 in Statistics & Probability and 13/97 in Computer Science, Interdisciplinary Applications) (Impact factor 2010: 2.647, 5-year: 3.654; Ranking 2010: 22/160 in Statistics & Probability, 22/1587 in Software / Computer Science, Interdisciplinary Applications, and 16/98 in Statistics, Probability & Uncertainty) • Kuiper, R. M. and Hoijtink, H. (2010). Comparisons of means using exploratory and confirmatory approaches. Psychological Methods, 15(1), 69-86. (Impact factor: 4.449 Ranking: 8/125 in Psychology, Multidisciplinary) (Impact factor 2010: 4.449 3.186, 5-year: 6.207; Ranking 2010: 6/223 in Psychology, Multidisciplinary)

Software development O denotes open acces • O The gorica will be implemented in JASP. • O An R package (in collaboration with Caspar van Lissa and Yasin Altinisik) called gorica. Kuiper, R. M., Altınısık, Y., and Van Lissa, C. J. (2020). gorica: Evaluation of Inequality Constrained Hypotheses Using GORICA. https://CRAN.R-project.org/package=gorica • O An R package (on GitHub) called CTmeta, which enables doing meta-analysis in lagged effects. Kuiper, R. M. (2020). CTmeta: Continuous-time meta-analysis (CTmeta) on standarized lagged effects taking into account the various time-intervals used in the primary studies. R package version 0.0.0.9000. • O An R package (on GitHub) called ChiBarSq.DiffTest to conduct a Chi-bar-square test on variances (e.g., testing the fit of a CLPM versus the fit of the RI-CLPM). • O Several stand alone and free of use software using interactive websites / web applications / ‘Shiny apps’; available from https://www.uu.nl/staff/RMKuiper/Websites%20%2F%20Shiny%20apps • O The goric function in the R package restriktor (of Leonard Vanbrabant and Yves Rosseel), which enables using the both the GORIC and GORICA (https://restriktor.org/tutorial/example6.html) Vanbrabant, L. and Kuiper, R. M. (2020). goric function in R package restriktor. https://CRAN.R- project.org/package=restriktor Vanbrabant, L. and Rosseel, Y. (2020). restriktor: Restricted Statistical Estimation and Inference for Linear Models. R package version 0.2-15. http://restriktor.org • O Several stand alone and free of use software packages; available from https://www.uu.nl/staff/RMKuiper/Software • O An R package (in collaboration with Dr. D. Gerhard) called goric: Generalized Order-Restricted Information Criterion (http://cran.r-project.org/web/packages/goric/goric.pdf). Via this link, you can find files with R code (R scripts and (html) vignettes) for the GORIC and GORICA and a (html) vignette for CTmeta. I also share R scripts and more on my GitHub page.

Book chapters • Ryan, O., Kuiper, R. M., and Hamaker, E. L. (2018). A continuous time approach to intensive longitudinal data: What, why and how? In K. v. Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous time modeling in the behavioral and related sciences. (pp. 27-54). New York: Springer. • Hamaker, E. L., van Hattum, P., Kuiper, R. M., and Hoijtink, H. (2011). Model selection based on information criteria in multilevel modeling. In J. Hox and K. Roberts (Eds.), Handbook of advanced multilevel analysis. (pp. 231-255). New York: Taylor and Francis Group. • Hoijtink, H., Huntjens, R., Reijntjes, A., Kuiper, R., and Boelen, P. A. (2008). An evaluation of Bayesian inequality constrained analysis of variance. In H. Hoijtink, I. Klugkist, and P. A. Boelen (Eds.), Bayesian evaluation of informative hypotheses. (pp. 85-108). New York: Springer.

Proceedings / Abstracts / Conference papers • Kocken, P., Pannebakker, F., Fekkes, M., Kuiper, R., Gravesteijn, C., and Diekstra, R. (2013, June 27-29). Effects of the Life Skills school curriculum on health and behavior of Dutch secondary school students. In the 17th biennial EUSUHM Congress, London (UK). • Horton, L. A., Kuiper, R. M. & Gerhard, D. (2012, September 24-26). Statistical evaluation of studies in regulatory toxicology. In Biannual Non-Clinical Statistics Conference, Potsdam (Germany). • Gerhard, D. & Kuiper, R. M. (2012, August 26-31). Selecting Models in Longitudinal Data Analysis by the Generalized Order-Restricted Information Criterion. In XXVIth International Biometric Conference, Kobe (Japan). • Tak, E. C. P. M., Kuiper, R. M., Chorus, A., and Hopman-Rock, M. (2012, August 13-17). Review and meta-analysis of the relationship between physical activity and ADL disability in older adults. In 8th World Congress on Active Ageing, Glasgow (Scotland, UK); Journal of Aging and Physical Activity, Supplement, 20, S203. • Horton, L. A. & Kuiper, R. M. (2012, March 13-15). Model selection procedures under order restriction- an alternative to related multiple test procedures?. In Biometrisches Kolloquium 2012, Berlin (Germany). • Kuiper, R. M. and Hoijtink, H. (2010, July 5-9). Generalization of the order-restricted information criterion: Illustrated. Proceedings of the 25th International Workshop on Statistical Modelling (pp. 303-306), University of Glasgow (Scotland, UK).

Reports • Dommelen, van P., Galindo Garre, F., Kuiper, R. M., and Verheijden, M. W. (2012). Evaluatie programma voorbeeldgedrag ouders: Landelijk programma over voorbeeldgedrag van ouders aan hun kinderen op het gebied van voeding en bewegen. Leiden: TNO Quality of Life. • Bernaards, C. M., Kuiper, R. M., Slinger, J. D., and Nauta, S. M. (2012). Eindevaluatie VMBO in beweging. Leiden: TNO Quality of Life. • Klein Velderman, M., Pannebakker, F. D., Wolff, M. S. de, Pedro-Carroll, J. A., Kuiper, R. M., Vlasblom, E., and Reijneveld, S. A. (2011). Child adjustment in divorced families: Can we successfully intervene with Dutch 6- to 8-year-olds? Feasibility study Children of Divorce Intervention Program (CODIP) in the Netherlands. Leiden: TNO Quality of Life. • Kuiper, R. M., Dusseldorp, E. M. L., and Vogels, A. G. C. (2010). A first hypothetical estimate of the Dutch burden of disease in relation to negative experiences during childhood. Leiden: TNO Quality of Life.

Acknowledgement • Koeneman, M. A., Verheijden, M. W., Chinapaw, M. J. M., and Hopman-Rock, M. (2011). Determinants of physical activity and exercise in healthy older adults: A systematic review. International Society of Behavioral Nutrition and Physical Activity, 8–142. (Impact factor: 3.830)

Dissertation • Kuiper, R. M. (2012). Model selection criteria: how to evaluate order restrictions (Doctoral dissertation).

References • Prof. Dr. Herbert Hoijtink Department of Methodology and Statistics Faculty of Social and Behavioural Sciences Utrecht University PO box 80140 3508 TC Utrecht E-mail: [email protected]

• Prof. Dr. Ellen Hamaker Department of Methodology and Statistics Faculty of Social and Behavioural Sciences Utrecht University PO box 80140 3508 TC Utrecht E-mail: [email protected]

• Dr. Elise Dusseldorp Statistician at the Quality of Life division of TNO in Leiden and a scientist in the Quantitative Psychology and Individual Differences Research Group of the Catholic University of Leuven (Belgium). Department of Statistics Wassenaarseweg 56 PO box 2215 2301 CE Leiden Tel: 071-5181424 E-mail: [email protected]