Dissertations

2023

  • Pittelkow, Merle: Assessing Evidence and Uncertainty: Informed Decision Making in Regulatory Drug Approval and Replication Target Selection
  • Smid, Sanne: The use of expert data in Bayesian Latent Growth Curve Models with a distal outcome
  • 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

  • Artner, Richard: Reproducibility, robustness, and test severity: New insights for research workers in psychology
  • Fu, Qianrao: Executing replications studies using informative hypotheses
  • Cai, Mingyang: Transition models for individual causal effects
  • Castro-Alvarez, Sebastián: Chronicle of Measurement Unforetold: Measurementmodels 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

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, NiekBig Data in the Social Sciences: Statistical methods for multi-source high- dimensional data
  • Elevelt, AnneSmart(phone) Surveys
  • Kruis, Joost: Item response mechanics
  • Kruijswijk, JulesOn 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-JanNew 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, BeibeiThe 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, SanneAdvances 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, NitinCorrelation, causation, and dynamics
  • Haslbeck, JonasModeling 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, KeesBayesian Circular Statistics: von Mises-based solutions for practical problems
  • Bork, Riet van: Interpreting psychometric models
  • Cremers, JolienOne Direction? Modelling Circular Data in the Social Sciences using the Embedding Approach
  • Savi, AlexanderTowards an idiographic education
  • Zijlmans, EvaItem-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, YasinEvaluation of inequality constrained hypotheses using an Akaike-type information citerion 
  • Van Borkulo, ClaudiaSymptom network models in depression research: From methodological exploration to clinical application
  • Van den Bergh, MattisLatent Class Trees
  • Vidotto, DavideBayesian Latent Class Models for the Multiple Imputation of Cross-Sectional, Multilevel and Longitudinal Categorical Data
  • Flore, PauletteStereotype Threat and Differential Item Functioning: A Critical Assessment
  • De Haan-Rietdijk, Silvia: Time for a change: Studying individual differences in dynamics
  • Nagelkerke, ErwinLocal fit in Multilevel Latent Class and Hidden Markov Models
  • Agelink van Rentergem, JoostStatistical Advances in Clinical Neuropsychology
  • Nuijten, MichèleResearch on research: a meta-scientific study of problems and solutions in psychological science
  • Van Aert, RobbieMeta-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, FlorianBayes Factors for Testing Equality and Inequality Constrained Hypotheses on Variances – 6 October 2017, Tilburg University
  • Epskamp, SachaNetwork Psychometrics – 5 April 2017, University of Amsterdam
  • Hillen, Robert: … – 23 June 2017, Tilburg University
  • Ippel, LianneMultilevel Modeling for Data Streams with Dependent Observations
    13 October 2017, Tilburg University
  • Oosterhuis, HannahRegression-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, GeertComputer Intensive Methods for Evaluating Latent Class Model Fit 
    13 November 2017, Tilburg University
  • Veldkamp, CoosjeThe 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, MarliesUnraveling and unlocking the assets of principal covariates regression
    26 September 2017, KU Leuven

2016

  • Bolsinova, MariaContributions to item response theory in educational measurement
    13 May 2016, Utrecht University
  • Bringmann, LauraDynamical Networks in Psychology: More than a pretty picture?
    7 October 2016, KU Leuven
  • De Klerk, SebastiaanMulti-Media Based Performance Assessment in Dutch Vocational Education – 15 January 2016, University of Twente / ECABO
  • Debeer, DriesItem-position effects and missing responses in large-scale assessments: Models and applications – 11 October 2016, KU Leuven
  • Doove, LisaTree-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, MarijeSolving multiplication and division problems: Latent variable modeling of students’ solution strategies and performance – 15 June 2016, Leiden University
  • Gerritse, SusannaAn application of population size estimation to official statistics – 8 July 2016, Utrecht University
  • Gu, XinBayesian Evaluation of Informative Hypothesis – 3 June 2016, Utrecht University
  • Heylen, JokeModeling variability in time profiles: Teasing apart amplitude and shape
    17 March 2016, KU Leuven
  • Jabrayilov, RuslanImproving Individual Change Assessment in Clinical, Medical and Healt Psychology – 4 April 2016, Tilburg University
  • Jongerling, JoranThere and back again: Studying inter-individual differences in intra-individual variability – 9 December 2016, Utrecht University
  • Krone, TanjaSome Notes on Bayesian Time Series Analysis in Psychology – 22 September 2016, University of Groningen
  • Meijering, JurianProbing the Power of Apollo: Methodological Challenges and Opportunities of the Delphi Method for Developing Rankings – 13 December 2016, Wageningen University
  • Minica, CameliaFamily-Based Genetic Association Analysis: Methods and Applications to Addiction Phenotypes – 18 February 2016, VU University Amsterdam
  • Oosterwijk, PieterStatistical properties and practical use of classical test-score reliability methods – 1 July 2016, Tilburg University
  • Schuurman, NoémiMultilevel Autoregressive Modeling in Psychology: Snags and Solutions – 27 June 2016, Utrecht University
  • Schwabe, IngaNature, Nurture and Item Response Theory – A Psychometric Approach to Behaviour Genetics – 24 March 2016, University of Twente

2015

  • Bakk, ZsuzsaContributions 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, MarjoleinPsychometric Contributions to Improving the Efficiency and Fidelity of Clinical Assessment and Research – 17 June 2015, VU University Amsterdam
  • Gudicha, DerejePower Analysis Methods for Tests in Latent Class and Latent Markov Models – 7 October 2015, Tilburg University
  • Jehangir, KhurrenMethodological Issues in Large-Scale Educational Surveys – 29 October 2015, University of Twente
  • Kuijpers, RenskeApplications of Categorical Marginal Models in Test Construction – 16 January 2015, Tilburg University
  • Lam, Tam Thi ThanhSome 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, GerkoRestrictive imputation of incomplete survey data – 13 March 2015, Utrecht University
  • Vriens, IngridTwo of a kind?: Comparing ratings and rankings for measuring work values using latent class modeling – 20 November 2015, Tilburg University
  • Vries, Rivka deBayes Factor Tests for Intervention Effects – 5 February 2015, University of Groningen

2014

  • Bakker, MarjanGood science, bad science. Questioning research practices in psychological research – 24 April 2014, University of Amsterdam
  • Bennink, MargotMicro-macro multilevel  analysis for discrete data – 10 October 2014, Tilburg University
  • Brinkhuis, MatthieuTracking educational progress – 9 December 2014, University of Amsterdam
  • Groen, Maaike M. vanAdaptive 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, ThomasInformed Design of Mixed-Mode Surveys: Evaluating mode
    effects on measurement and selection error – 10 October 2014, Utrecht University.
  • Koppenol-Gonzales Marin, GabrielaVerbal and Visual Short Term Memory Processes in Children: Capturing their Complexities Using Latent Class Models – 31 January 2014, Tilburg University
  • Marsman, MaartenPlausible 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, MartheMath 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.