Current Students

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
  • Hendrikse, Sophie: The Rhythm of Relating: How to quantify interpersonal synchrony in movement, physiological and neural activations and model the interactions between these modalities?
  • Kloos, Kevin: Improving the Accuracy of Aggregate Statistics with Quantification Learning
  • 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
  • Rieble, Carlotta: Early Warning Signals of Depression Onset
  • Van Loon, Wouter: Stacked Domain Learning for multi-domain data: A new ensemble method
  • Veenman, Myrthe: Communicating Networks

University of Amsterdam

  • Adam Finneman: Theory Construction in Complex Psychological Systems
  • Hoekstra, Ria: Within, Between and Beyond: A network perspective on intra- versus inter-individual data
  • 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
  • Stefan, Angelika: Bayes Factor Design Analysis for the Efficient Collection of Informative Data
  • 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 den Ende, Maarten: Computational modelling of psychological and social dynamics and urban mental health conditions
  • Zadelaar, Jacqueline: Why speeding on your scooter is a good idea: Decision strategies in childhood and adolescence

University of Groningen

  • Burger, Julian: Advancing Personalized Network Modelling in Clinical Practice
  • 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
  • Langener, Anna: Using multimodal data to understand the social environment and its effect on wellbeing
  • Linde, Maximilian: Back to Bayesics: Solving the Reproducibility Crisis in Biomedicine
  • Muradchanian, Jasmine: Improving replicability in science
  • Namazkhan, Malileh: Statistical Modeling of Energy Saving Measures
  • Neumann, Marvin: Bridging the scientist-practitioner gap in judgement and prediction
  • Pittelkow, Merle: Back to Bayesics: Solving the Reproducibility Crisis in Biomedicine
  • Stadel, Marie: Capturing a Patient’s Context: Developing experience sampling tools for personalised patient feedback in psychotherapy

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

  • Arena, Giuseppe: The Time is Now: Understanding Social Network Dynamics Using Relational Event Histories
  • Augusteijn, Hilde: Getting it right with meta-analysis: Assessing heterogeneity and moderator effects in the presence of publication bias and p-hacking
  • Clouth, Felix: Personalised Treatment Options Model
  • Constantin, Mihai: Tools for Aiding Empirical Research Based on Intensive Longitudinal Data
  • Costantini, Eduardo: Treatment of Missing Data in High-Dimensional Social and Behavioral Science Data
  • Crompvoets, Elise: Pairwise comparisons within education
  • D’Urso, Damiano: Unraveling measurement non-invariance in multilevel data in the Social Sciences
  • Guerra Urzola, Rosember: A huge scale optimization approach to joint data modeling in the social and behavioral 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
  • 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
  • Liu, Anne: Correcting for selectivity in datasets
  • Maassen, Esther: Structural equation modeling as an antidote to selective outcome reporting
  • Meijerink, Marlyne: Confirmatory methods for time-sensitive social processes
  • Olsson-Collentine, Anton: (Data-dependent) choices and (statistical) consequences in psychology
  • Park, Soogeun: Big data in the social sciences: Statistical methods for multi-source high-dimensional data
  • Stoevenbelt, Andrea: Psychometrics and statistics of stereotype threat
  • Van den Akker, Olmo: Preregistration and the “failed study”
  • Yuan, Shuai: Identifying Group Differences in Large-Scale Multi-Block Data

Utrecht University

  • Andresen, Pia: Coming-of-Age of Process Research: Connecting Theory with Measurement and Modelling (OPTIMAL)
  • Arts, Ingrid: Increasing MI by introducing webprobing into a BSEM
  • Cai, Mingyang: Transition models for individual causal effects
  • De Haan-Rietdijk, Silvia: Time for a change: Studying individual differences in dynamics
  • De Jong, Daan: OPTIMAL
  • Fang, Qixiang: Content Validity of High-Dimensional Measurement
  • Fu, Qianrao: Executing replications studies using informative hypotheses
  • Leplaa, Hidde: Replication in the behavioural sciences
  • McCool, Danielle: Using surveys and smartphone sensors to produce time use and travel statistics
  • Mildiner Moraga, Sebastián: The multilevel explicit-duration hidden Markov model for real time behavioural data
  • Moazeni, Mehran: Developing and applying machine learning algorithms to improve prediction in patients with heart failure
  • Mulder, Jeroen: Concerning Causes: Evaluation of Methods to Study Causes and Their Effects in Developmental Processes
  • Smid, Sanne: The use of expert data in Bayesian Latent Growth Curve Models with a distal outcome
  • Sukpan, Chuenjai: Inequality-constrained model selection (for dynamical models)
  • Tang, Dandan: Bayesian Evaluation of Informative Hypotheses Using bain
  • Wu, Shiya: Bayesian Adaptive Survey Design

KU University Leuven

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

In Memoriam

Janneke de Kort