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
- Yuan, Beibei: The δ-machine: A new competitive and interpretable classifier based on dissimilarities
University of Amsterdam
- 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
- 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 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
- 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
- Crompvoets, Elise: Pairwise comparisons within education
- De Schipper, Niek: Big Data in the Social Sciences: Statistical methods for multi-source high- dimensional data
- 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
- 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
- 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
- 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
- Cai, Mingyang: Transition models for individual causal effects
- 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
- Lek, Kimberley: How to hedge our bets in educational testing: combining test results with teacher expertise
- Leplaa, Hidde: Replication in the behavioural sciences
- McCool, Danielle: Using surveys and smartphone sensors to produce time use and travel statistics
- Mulder, Jeroen: Concerning Causes: Evaluation of Methods to Study Causes and Their Effects in Developmental Processes
- Ryan, Oisín: Not straightforward: Mediation and networks in continuous time
- 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)
- 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
KU University Leuven
- Artner, Richard: Methods for estimating and improving the replicability of psychological science
- Bodner, Nadja: Boolean Networks
- 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
- 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?