Leiden University

• Deen, Mathijs: Resampling methodology for longitudinal data analysis
• Durieux, Jeffrey: Clusterwise Independent Component Analysis for multi-subject (resting state) fMRI data
• Flore, Giulio: Predictive Unfolding Models for Single-Peaked Items with Binary and Graded Response Data
• Kampert, Maarten: Distance-based analysis of (gen)omics data
• Li, Xinru: Meta-CART: An integration of classification and regression trees into meta-analysis
• Pratiwi, Bunga Citra: Predictive Validity of Psychological Tests from a Statistical Learning Perspective
• Van Loon, Wouter: Stacked Domain Learning for multi-domain data: A new ensemble method
• Willems, Sanne: New Approaches in Survival Analysis
• Worku, Hailemichael: Multivariate logistic regression using the ideal point classification model
• Yuan, Beibei: The δ-machine: A new competitive and interpretable classifier based on dissimilarities

University of Amsterdam

• Bork, Riet van: Empirical methods to distinguish network from latent variable constructs
• Haslbeck, Jonas: Modeling Dynamics in Psychopathology
• Hoekstra, Ria: Within, Between and Beyond: A network perspective on intra- versus inter-individual data
• Isvoranu, Adela: Psychosis: Towards a Dynamical Systems Approach
• Kolbe, Laura: Non-standard applications of structural equation modeling in child development and education research
• Koopman, Letty: Scaling methods for multilevel test data
• Kossakowski, Jolanda: The PsychoGraph: Developing a Seismograph for Psychology
• Kucharsky, Simon: Inferring cognitive strategies from eye movements: A Bayesian model-based approach
• Lunansky, Gabriela: A theoretical network model of psychological resilience
• Kruis, Joost: Developing Process Measurement Models with Broad Applicability
• Savi, Alexander: Experimentation in online education: Increasing return on investment through A/B testing
• Ten Hove, Debby: A comprehensive framework for estimating and interpreting interrater reliability for dependent data
• Tio, Pia: SPANC: Simultaneous Principal and Network Components model for integration of multi-source data
• Van Doorn, Johnny: Bayesian inference for ordinal data in psychology
• Van Renswoude, Daan: Gaze-Patterns Tell the Tale: A Model-Based Approach to Free-Scene Viewing in Infancy
• Wijsen, Lisa: The History of Psychometrics: Tools, Trends and Turning points
• Zadelaar, Jacqueline: Why speeding on your scooter is a good idea: Decision strategies in childhood and adolescence

University of Groningen

• Bhushan, Nitin: Network dynamics of households’ energy consumption after interventions
• Castro Alvarez, Sebastián: ImpoRTant: Developing item response theory to analyze intensive longitunidal data
• Crisan, Daniela: Practical Implications of the Mist of Item Response Theory Models
• De Raadt, Alexandra: Properties of Cohen’s kappa
• Ernst, Anja Franziska: Dynamic clustering: Classifying people through ecological momentary assessment
• Namazkhan, Malileh: Statistical Modeling of Energy Saving Measures
• Neumann, Marvin: Bridging the scientist-practitioner gap in judgement and prediction
• Van der Hoef, Hanneke: Cluster analysis in educational research: Best practice guidelines for finding groups
• Verschoor, Mark: A dynamical network model for household energy use
• Voncken, Lieke: Norming Methods for Psychological Tests

University of Twente

• Hubregtse, Marianne: Competence based assessment in vocational education in The Netherlands
• Klotzke, Konrad: Marginal Joint-Modelling of Response Accuracy and Response Times
• Vaheoja, Monika: Application of IRT equating on high-stakes testing in Applied Universities of Teacher Education. Errors and error-analysis in the consistency and stability of pass/fail decision in tests with different sample sizes

Tilburg University

• Augusteijn, Hilde: Getting it right with meta-analysis: Assessing heterogeneity and moderator effects in the presence of publication bias and p-hacking
• Boeschoten, Laura: Consistent Estimates for Categorical Data based on a Mix of Administrative Data Sources and Surveys
• Clouth, Felix: Personalised Treatment Options Model
• Crompvoets, Elise: Pairwise comparisons within education
• De Schipper, Niek: Big Data in the Social Sciences: Statistical methods for multi-source high- dimensional data
• Guerra Urzola, Rosember: A huge scale optimization approach to joint data modeling in the social and behavioral sciences
• Gu, Zhengguo: Monitoring Individual Change in Mental Health Care and Education
• Hartgerink, Chris: Detecting potential data fabrication in the social sciences
• Karimova, Diana: Multinomial Choice Model for Relational Events Networks
• Kavelaars, Xynthia: Making the most of clinical trials: Increasing efficiency using novel Bayseian methods for information-sharing within and between trials
• Kruijswijk, Jules: On Hierarchical Structures in the Multi-Armed Bandit Problem
• Leertouwer, IJsbrand: Understanding vulnerability to stress-related disorders from a complex dynamic systems perspective
• Lodder, Paul: Latent variable prediction models in clinical and medical psychology
• Maassen, Esther: Structural equation modeling as an antidote to selective outcome reporting
• Meijerink, Marlyne: Confirmatory methods for time-sensitive social processes
• Park, Soogeun: Big data in the social sciences: Statistical methods for multi-source high-dimensional data
• Stoevenbelt, Andrea: Psychometrics and statistics of stereotype threat
• Tio, Pia: SPANC: Simultaneous Principal and Network Components model for integration of multi-source data
• Van den Akker, Olmo: Preregistration and the “failed study”
• Van Erp, Sara: Advancing structural equation modeling with unbiased Bayesian methods
• Vogelsmeier, Leonie: Understanding between- and within-person differences in experience sampling measurements using mixture factor analysis
• Yuan, Shuai: Identifying Group Differences in Large-Scale Multi-Block Data

Utrecht University

• Bais, Frank: Respondent profiles and questionnaire profiles in mixed-mode surveys
• Cremers, Jolien: Circular data in longitudinal designs
• De Haan-Rietdijk, Silvia: Time for a change: Studying individual differences in dynamics
• Elevelt, Anne: Smart(phone) Surveys
• Fu, Qianrao: Executing replications studies using informative hypotheses
• Grootel, Leonie van: Not as we know it: Developing and evaluating synthesis methods that incorporate quantitative and qualitative research
• Klaassen, Fayette: Hypotheses formulation, evaluation, updating and replication for experimental univariate within person data
• Lek, Kimberley: How to hedge our bets in educational testing: combining test results with teacher expertise
• Mulder, Kees: Bayesian analysis of circular data in between-subjects designs
• Ryan, Oisín: Not straightforward: Mediation and networks in continuous time
• Schouten, Rianne: About the evaluation of missing data methodologies
• Smid, Sanne: The use of expert data in Bayesian Latent Growth Curve Models with a distal outcome
• Van Kesteren, Erik-Jan: New Dimensions in Social Science: Extending Structural Equation Models to Accommodate Novel Data Sources
• Veen, Duco: Elicitation of expert information: Modelling latent growth models with prior expert information and evaluating predictions
• Wu, Shiya: Bayesian Adaptive Survey Design
• Zondervan-Zwijnenburg, Mariëlle: Formalization and evaluation of prior knowledge based on prior/posterior predictive inference

KU University Leuven

• Artner, Richard: Methods for estimating and improving the replicability of psychological science
• Bodner, Nadja: Boolean Networks
• Bulteel, Kirsten: Dynamic network models for dyadic data
• Claesen, Aline: Methods for estimating and improving the replicability of psychological science
• Gvaladze, Sofia: Capturing time-varying multivariate dynamics through principal component analysis based methods
• Loossens, Tim: Statistical modelling of emotion dynamics
• Mestdagh, Merijn: Modeling and control of dynamical within-person networks
• Sies, Aniek: Developing a statistical methodology for optimal treatment assignment

Statistics Netherlands (CBS)

VU University Amsterdam

• Blanken, Tessa: From heterogeneous insomnia to homogeneous subtypes – and beyond: how do different subtypes of insomnia relate to (first-) onset depression?

Maastricht University

Wageningen University

Erasmus University Rotterdam

• Yocarini, Iris: Psychometric evaluation of combining tests in a higher education context

In Memoriam

Janneke de Kort