2024

• Fang, Qixiang: Leveraging Measurement Theory for Natural Language Processing Research
• Costantini, Eduardo: Simplifying Imputation with Many Predictors in MICE Using Principal Component Analysis
• Langener, Anna: From Data Streams to Mental Health Predictions: Improving the use of Passive Measures from Digital Devices
• Mulder, Jeroen: Structural Equation Modeling for Description, Prediction, and Causation
• Muradchanian, Jasmine: Replicability in science. Quantification, interpretation, and the role of publication bias
• Van den Akker, Olmo: Preregistration in psychology: Past, present, and
  prospects
• Clouth, Felix: Latent Class Models for Causal Inference
• Olsson-Collentine, Anton: Well-reasoned and arbitrary decisions: Investigating how and why research outcomes vary in psychology
• Klotzke, Konrad: Marginal Joint-Modelling of Response Accuracy and Response Times

2023

• Vanhasbroeck, Niels: Testing a mathematical model of affect dynamics
• Niemeijer, Koen: Tracking mood and mood disorder using mobile sensing
• Ariens, Sigert: Regression approaches for modeling affect dynamics: Leveraging on context and serial dependence.
• Burger, Julian: The Future of Case Formulation in Clinical Psychology: Advancements in Network Modeling and Simulation-based Science
• Guerra Urzola, Rosember: A huge scale optimization approach to joint data modeling in the social and behavioral sciences
• Meijerink, Marlyne: Who, when, and how long? Time-sensitive social network modeling using relational event data
• Pittelkow, Merle: Assessing Evidence and Uncertainty: Informed Decision Making in Regulatory Drug Approval and Replication Target Selection
• Neumann, Marvin: Overcoming algorithm aversion in personnel selection and
  admissions decisions
• Stefan, Angelika: Bayesian Power
• Smid, Sanne: Bayesian SEM with Small Samples: Precautions and Guidelines
• Wu, Shiya: Bayesian Adaptive Survey Design
• Lodder, Paul: Medical Psychometrics: A psychometric evaluation of Type D personality and its predictive value in medical research
• D’Urso, Damiano: Safeguarding Psychological Measurement
• Kavelaars, Xynthia: A Bayesian multivariate framework for analysis and decision-making with multiple binary outcome variables
• Leertouwer, IJsbrand: Experiencing versus Remembering
  Comparing Ecological Momentary Assessment to Retrospective Assessment in Personalised Feedback Procedures
• Ten Hove, Debby: A comprehensive framework for estimating and interpreting interrater reliability for dependent data

2022

• Fu, Qianrao: Executing replications studies using informative hypotheses
• Cai, Mingyang: Transition models for individual causal effects
• Castro-Alvarez, Sebastián: Chronicle of Measurement Unforetold: Measurement models for intensive longitudinal data.
• Koopman, Letty: Nonparametric Item Response Theory for Multilevel Test Data
• Ernst, Anja Franziska: Dynamic clustering: Classifying people through ecological momentary assessment.
• Vogelsmeier, Leonie: Latent Markov Factor Analysis: A mixture modeling approach for evaluating within- and between-person measurement model differences in intensive longitudinal data.
• Artner, Richard: Reproducibility, robustness, and test severity: New insights for research workers in psychology.
• Namazkhan, Malileh: Modelling household energy consumption to understand sustainable energy behaviour. An integrated approach.
• Yuan, Shuai: Identifying Group Differences in Large-Scale Multi-Block Data
• Stoevenbelt, Andrea: Psychometrics and statistics of stereotype threat
• Vaheoja, Monika: Setting standards in small samples
• Yuan, Shuai: Novel clustering methods for complex cluster structures in behavioral sciences

2021

• Isvoranu, Adela: From Syndromes to Symptoms: Network Models of Psychosis and Beyond
• Bais, Frank: Constructing Behaviour Profiles for Answer Behaviour Across Surveys
• Blanken, Tessa: Changing perspectives on insomnia and depression: From symptoms to system
• De Schipper, Niek: Big Data in the Social Sciences: Statistical methods for multi-source high- dimensional data
• Elevelt, Anne; Smart(phone) Surveys
• Kruis, Joost: Item response mechanics
• Kruijswijk, Jules: On Hierarchical Structures in the Multi-Armed Bandit Problem
• Loossens, Tim: Toward parsimonious modeling of affect dynamics in daily life: An analysis of continuous time, non-linearities and sudden jumps
• Van Kesteren, Erik-Jan: New Dimensions in Social Science: Extending Structural Equation Models to Accommodate Novel Data Sources
• Van Doorn, Johnny: Bayes factor hypothesis tests for ranks and researchers.
• Wijsen, Lisa: Characterizations of Psychometrics
• Yuan, Beibei: The δ-machine: A new competitive and interpretable classifier based on dissimilarities
• Zadelaar, Jacqueline: Why speeding on your scooter is a good idea: Decision strategies in childhood and adolescence

2020

• Sara van Erp: Bayesian Structural Equation Modeling: The Power of the Prior
• Oisín Ryan: Dynamic Systems and Causal Structures in Psychology: Connecting Data and Theory
• Bodner, Nadja: Unraveling behavioral sequences in micro-coded parent-child interactions: A dynamic network approach to binary time series data
• Tessa Blanken: Changing perspectives on insomnia and depression: From symptoms to system
• Klaassen, Fayette: The latest update on Bayesian informative hypothesis testing
• Lek, Kimberley: Teacher knows best? On the (dis)advantages of teacher judgments and test results, and how to optimally combine them
• Gvaladze, Sofia: Capturing time-varying multivariate dynamics through principal component analysis based methods
• Veen, Duco: Alternative Information: Bayesian Statistics, Expert Elicitation and Information Theory in the Social Sciences
• Willems, Sanne: Advances in Survival Analysis and Optimal Scaling Methods
• Gu, Zhengguo: Monitoring individual change in mental health care and education
• Hartgerink, Chris: Contributions towards understanding and building sustainable science
• Voncken, Lieke: Flexible regression-based norming of psychological tests
• Bhushan, Nitin: Correlation, causation, and dynamics
• Haslbeck, Jonas: Modeling psychopathology. From data models to formal theories
• Crisan, Daniela: Practical Significance of Item Response Theory Model Misfit: Much Ado About Nothing?
• Van Renswoude, Daan: Looking (for) Patterns: Real-world Scene Viewing in Infants and Adults
• De Raadt, Alexandra: Comparison studies on agreement coefficients with emphasis on missing data
• Li, Xinru: Meta-CART: An integration of classification and regression trees into meta-analysis
• Kossakowski, Jolanda: The PsychoGraph: Developing a Seismograph for Psychology

2019

• Boeschoten, Laura:  Consistent estimates for categorical data based on a mix of administrative data sources and surveys
• Zondervan-Zwijnenburg, Mariëlle: Standing on the shoulders of giants. Formalizing and evaluating prior knowledge
• Yocarini, Iris: Testing in Higher Education: Decisions on students’ performance
• Mulder, Kees: Bayesian Circular Statistics: von Mises-based solutions for practical problems
• Bork, Riet van: Interpreting psychometric models
• Cremers, Jolien: One Direction? Modelling Circular Data in the Social Sciences using the Embedding Approach
• Savi, Alexander: Towards an idiographic education
• Zijlmans, Eva: Item-Score Reliability – Estimation and Evaluation.
• Kamert, Maarten:  Improved Strategies for Distance Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data 

2018

• Altinisik, Yasin: Evaluation of inequality constrained hypotheses using an Akaike-type information citerion 
• Van Borkulo, Claudia: Symptom network models in depression research: From methodological exploration to clinical application
• Van den Bergh, Mattis: Latent Class Trees
• Vidotto, Davide: Bayesian Latent Class Models for the Multiple Imputation of Cross-Sectional, Multilevel and Longitudinal Categorical Data
• Flore, Paulette: Stereotype Threat and Differential Item Functioning: A Critical Assessment
• De Haan-Rietdijk, Silvia: Time for a change: Studying individual differences in dynamics
• Nagelkerke, Erwin: Local fit in Multilevel Latent Class and Hidden Markov Models
• Agelink van Rentergem, Joost: Statistical Advances in Clinical Neuropsychology
• Nuijten, Michèle: Research on research: a meta-scientific study of problems and solutions in psychological science
• Van Aert, Robbie: Meta-analysis: Shortcomings and potential
• Hofman, Abe: Psychometric Analyses of Computer Adaptive Practice Data: A New Window on Cognitive Development
• Dekkers, Laura: On Axioms of Choice: A Mathematical Modelling Approach to Study Variability in Decision Making
• Dittrich, Dino: Understanding influence in social networks: New methods for estimation and inference using Bayesian statistics
• Punter, Annemiek: Psychometric modeling of cultural bias in International Large-Scale Assessments
• Worku, Haile Michael: Distance Models for the Analysis of Multivariate Binary Data
• Van Grootel, Leonie: Where No Reviewer Has Gone Before: Exploring the Potential of Mixed Studies Reviewing
• Cabrieto, Jedelyn: Signaling a diverse range of changes in multivariate time series: A flexible Kernel-based change point detection approach
• Kirsten Bulteel: Multivariate time series, vector autoregressive models and dynamic networks in psychology: Extensions and reflections
• Merijn Mestdagh: Prediction and machine learning: Explorations in psychological methodology
• Aniek Sies: Towards precision medicine: Identifying relevant treatment-subgroup interactions and estimating optimal tree-based treatment regimes from randomized clinical trial data

2017

• Böing-Messing, Florian: Bayes Factors for Testing Equality and Inequality Constrained Hypotheses on Variances – 6 October 2017, Tilburg University
• Epskamp, Sacha: Network Psychometrics – 5 April 2017, University of Amsterdam
• Hillen, Robert: … – 23 June 2017, Tilburg University
• Ippel, Lianne: Multilevel Modeling for Data Streams with Dependent Observations –
  13 October 2017, Tilburg University
• Oosterhuis, Hannah: Regression-Based Norming for Psychological Tests and Questionnaires – 12 April 2017, Tilburg University
• Sense, Florian: Making the most of human memory. Studies on personalized fact-learning and visual working memory – 20 April 2017, University of Groningen
• Steegen, Sara: … – 17 October 2017, KU University of Leuven
• Van Kollenburg, Geert: Computer Intensive Methods for Evaluating Latent Class Model Fit –
  13 November 2017, Tilburg University
• Veldkamp, Coosje: The Human Fallibility of Scientists: Dealing with error and bias in academic research – 8 November 2017, Tilburg University
• Verdam, Mathilde: Using Structural Equation Modeling to Investigate Change in Health-Related Quality of Life – 6 April 2017, University of Amsterdam
• Vervloet, Marlies: Unraveling and unlocking the assets of principal covariates regression –
  26 September 2017, KU Leuven

2016

• Bolsinova, Maria: Contributions to item response theory in educational measurement –
  13 May 2016, Utrecht University
• Bringmann, Laura: Dynamical Networks in Psychology: More than a pretty picture? –
  7 October 2016, KU Leuven
• De Klerk, Sebastiaan: Multi-Media Based Performance Assessment in Dutch Vocational Education – 15 January 2016, University of Twente / ECABO
• Debeer, Dries: Item-position effects and missing responses in large-scale assessments: Models and applications – 11 October 2016, KU Leuven
• Doove, Lisa: Tree-based methodologies for the detection of treatment-subgroup interactions and the estimation of optimal treatment regimes in randomized controlled trials – 30 September 2016, KU Leuven
• Fagginger Auer, Marije: Solving multiplication and division problems: Latent variable modeling of students’ solution strategies and performance – 15 June 2016, Leiden University
• Gerritse, Susanna: An application of population size estimation to official statistics – 8 July 2016, Utrecht University
• Gu, Xin: Bayesian Evaluation of Informative Hypothesis – 3 June 2016, Utrecht University
• Heylen, Joke: Modeling variability in time profiles: Teasing apart amplitude and shape –
  17 March 2016, KU Leuven
• Jabrayilov, Ruslan: Improving Individual Change Assessment in Clinical, Medical and Healt Psychology – 4 April 2016, Tilburg University
• Jongerling, Joran: There and back again: Studying inter-individual differences in intra-individual variability – 9 December 2016, Utrecht University
• Krone, Tanja: Some Notes on Bayesian Time Series Analysis in Psychology – 22 September 2016, University of Groningen
• Meijering, Jurian: Probing the Power of Apollo: Methodological Challenges and Opportunities of the Delphi Method for Developing Rankings – 13 December 2016, Wageningen University
• Minica, Camelia: Family-Based Genetic Association Analysis: Methods and Applications to Addiction Phenotypes – 18 February 2016, VU University Amsterdam
• Oosterwijk, Pieter: Statistical properties and practical use of classical test-score reliability methods – 1 July 2016, Tilburg University
• Schuurman, Noémi: Multilevel Autoregressive Modeling in Psychology: Snags and Solutions – 27 June 2016, Utrecht University
• Schwabe, Inga: Nature, Nurture and Item Response Theory – A Psychometric Approach to Behaviour Genetics – 24 March 2016, University of Twente

2015

• Bakk, Zsuzsa: Contributions to bias adjusted stepwise latent class modelling – October 16th 2015, Tilburg University
• Barendse, Mariska: Dimensionality Assessment with Factor Analysis Methods – 16 February 2015, University of Groningen
• Fokkema, Marjolein: Psychometric Contributions to Improving the Efficiency and Fidelity of Clinical Assessment and Research – 17 June 2015, VU University Amsterdam
• Gudicha, Dereje: Power Analysis Methods for Tests in Latent Class and Latent Markov Models – 7 October 2015, Tilburg University
• Jehangir, Khurren: Methodological Issues in Large-Scale Educational Surveys – 29 October 2015, University of Twente
• Kuijpers, Renske: Applications of Categorical Marginal Models in Test Construction – 16 January 2015, Tilburg University
• Lam, Tam Thi Thanh: Some new methods for three-mode factor analysis and multi-set factor analysis – 19 February 2015, University of Groningen
• Safarkhani, Maryam: Optimal Designs for Discrete-time Survival Analysis with Heterogeneity – 27 March 2015, Utrecht University
• Vink, Gerko: Restrictive imputation of incomplete survey data – 13 March 2015, Utrecht University
• Vriens, Ingrid: Two of a kind?: Comparing ratings and rankings for measuring work values using latent class modeling – 20 November 2015, Tilburg University
• Vries, Rivka de: Bayes Factor Tests for Intervention Effects – 5 February 2015, University of Groningen

2014

• Bakker, Marjan: Good science, bad science. Questioning research practices in psychological research – 24 April 2014, University of Amsterdam
• Bennink, Margot: Micro-macro multilevel  analysis for discrete data – 10 October 2014, Tilburg University
• Brinkhuis, Matthieu: Tracking educational progress – 9 December 2014, University of Amsterdam
• Groen, Maaike M. van: Adaptive testing for making unidimensional and multidimensional classification decisions – 21 November 2014, Twente University
• Holt, Janke ten: A comparison between factor analysis and item response theory modeling in scale analysis – 23 June 2014, University of Groningen
• Kievit, Rogier: Turtles all the way down? Psychometric approaches to the reduction problem – 23 April 2014, University of Amsterdam
• Klausch, Thomas: Informed Design of Mixed-Mode Surveys: Evaluating mode
  effects on measurement and selection error – 10 October 2014, Utrecht University.
• Koppenol-Gonzales Marin, Gabriela: Verbal and Visual Short Term Memory Processes in Children: Capturing their Complexities Using Latent Class Models – 31 January 2014, Tilburg University
• Marsman, Maarten: Plausible Values in Statistical Inference – 19 November 2014, University of Twente
• Mittelhaëuser, Marie-Anne: Modeling the Effect of Differential Motivation on Linking Educational Tests – 12 DEcember 2014, Tilburg University
• Smits, Iris A.M.: A methodological perspective on the analysis of clinical and personality questionnaires – 20 February 2014, University of Groningen
• Straatemeier, Marthe: Math garden. A new educational and scientific instrument – 25 April 2014, University of Amsterdam

2013

• Conijn, Judith: Person-misfit in item response models explained by means of nonparametric and multilevel logistic regression models.
• Cramer, Angélique: Causal networks for psychological measurement.
• He, Qiwei: Computerized adaptive text-based testing in psychological and educational measurement.
• Jak, Suzanne: Bias in the measurement of child attributes in educational research: Measurement bias in multilevel data.
• Jozwiak, Kasia: Improving statistical power in studies on event occurrence by using an optimal design.
• Tijmstra, Jesper: Evaluating model assumptions in Item Response Theory.
• Van der Palm, Daniel: Multiple imputation using mixture models.

2012

• Avetisyan, Marianna: A Bayesian approach for handling response bias and incomplete data.
• Geerlings, Hanneke: Linear logistic test models for rule-based item generation.
• Jolani, Shahab: Investigation of statistical properties of proper ways to combine the nonresponse model and the outcome model for drawing imputations.
• Kan, Kees-Jan: Testing the mutualism model of general intelligence.
• Kieruj, Natalia: Question format and response style behaviour in attitude research.
• Korendijk, Elly: Robustness issues for cluster randomised trials.
• Kruyen, Peter: Minimal requirements of the reliability of tests and questionnaire.
• Kuiper, Rebecca: Chained equations.
• Lugtig, Peter: Tailoring to the MAX: Using new IC technology to increase data quality and efficiency in panel surveys.
• Molenaar, Dylan: Statistical modeling of (cognitive) ability differentiation.
• Peeters, Carel: Inequality constrained Bayesian models for the multivariate normal covariance matrix.
• Ravenzwaaij, Don van: Modeling the relation between speed and accuracy.
• Rippe, Ralph: Nonlinear modeling with high volume data sets from systems biology.
• Straat, Hendrik: Higher measurement quality of tests and questionnaires by means of more powerful statistics.
• Verhagen, Josine: Bayesian modeling of heterogeneity for large scale comparative research.
• Weeda, Wouter: EEG/MEG components: A new statistical approach to analyze their (co)variance properties.
• Wetzels, Ruud: Bayesian hypothesis testing hierarchical models: A PhD proposal for the innovation of psychological methods.

2011

• Glasner, Tina: Reconstructing event histories in standardized survey research: Cognitive mechanisms and aided recall techniques.
• Hickendorff, Marian: Mathematical proficiency in primary education: Cognitive processes and predictability.
• King Kallimanis, Bellinda: Unbiased measurement of health-related quality-of-life.
• Maus, Bärbel: Optimal designs for fMRI experiments.
• Morren, Meike: Bias and equivalence in cross-cultural survey research: An analysis of instrument comparability in the SPVA survey.
• Oberski, Daniel: Prediction of the quality of survey questions in cross cultural research.
• Polak, Marike: Item analysis of unipolar item response data.
• Wesel, Floryt van: Model selection.
• Zand Scholten, Annemarie: Admissable statistics and latent variable theory.

2010

• Ligtvoet, Rudy: Models and methods for invariant item ordering.
• Lukociene, Olga: Performance of latent class analysis based random coefficient models.
• Moerman, Gerben: Interview-strategies in open interviews.
• Mulder, Joris: Inequality constrainted models for the multivariate normal mean: A Bayesian approach.
• Schoot, Rens van de: Learning more from emperical data using prior knowledge.
• Spreeuwenberg, Marieke: Countering sample selection biases in social and behavioral research.
• Tendeiro, Jorge: Uniqueness, rank, and simplicity of three-way arrays with symmetric slices.

2009

• Cobben, Fannie: Adjustment for nonresponse bias in household surveys.
• Depril, Dirk: Additive clustering for two-mode data.
• Feskens, Remco: Identification of non-response in groups that are difficult to study and the development of tailor-made non-response reduction strategies.
• Hattum, Pascal van: Market segmentation using Bayesian model based clustering.
• Hoekstra, Rink: Multiple classification latent class models.
• Khalid, Naveed: Searching for fit to IRT models in complex data.
• Klein Entink, Rinke: Simultaneous modeling of response times and responses on test items.
• Oravecz, Zita: Modeling core affect trajectories with diffusion models.
• Ortega Azurdy, Shirley: Powerful and robust designs for longitudinal multilevel studies .
• Schmittmann, Verena: Analysis of qualitatively different learning forms by testing multi-modality and other catastrofe flags.
• Vandekerckhove, Joachim: The development and application of diffusion models.
• Weekers, Anke: The use of item response theory in personality assessment.
• Zijlstra, Wobbe: Detection of out liers in test, questionnaire and survey data.

2008

• Braeken, Johan: Modeling residual dependencies in item response models.
• Cruyff, Maarten: Measurement and prediction in culturally heterogeneous population.
• Maij-De Meij, Annette: Measurement and prediction in culturally heterogeneous population.
• Ploeger, Annemie: Developmental psychology and evolutionay theory.
• Schepers, Jan: Real-valued HICLAS models.
• Van Rijn, Peter: Ergodicity: the relationship between intra- and interindividual variation.
• Warrens, Matthijs: Ordering properties of homogeneity analysis, when applied to data from IRT models.
• Zijlstra, Bonne: Models for the analysis of social networks with multiple sources of variation.

2007

• Balázs, Katalin: Detecting heterogeneity in logistic regression models.
• Carabain, Christine: Survey research on ethnic attitudes: A comparison between open and closed.
• Ginkel, Joost van: Handling missing scores and outliers in test and questionnaire data.
• González, Jorge: Random effect approaches of individual differences in complex models for categorical data.
• Hidegkuti, István: Categories and dimensions.
• Linting, Mariëlle: Nonparametric inference in multivariate categorical data analysis.
• Stuive, Ilse: The multiple group method of confirmatory factor analysis for test construction.
• van der Kooij, Anita: Constrained regression models.
• Wicherts, Jelte: Application and development of multi-group means and covariance structure modeling of the Flynn effect.

2006

• Frank, Laurence: Stability of feature network modeling of proximity da.
• Hol, Michiel: Efficiency and administration invariance of computer adaptive computerized and paper-and-pencil testing using Likert item questionnaires.
• Laudy, Olav: Translation of theories into statistical models using inequality constrained loglinear/ latent class models.