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Psychometrika|November 17, 2016
Modeling Omitted and Not-Reached Items in IRT ModelsNorman Rose, Matthias von Davier, Benjamin NagengastEducational and Psychological Measurement|May 15, 2023
Scoring Graphical Responses in TIMSS 2019 Using Artificial Neural NetworksMatthias von Davier, Lillian Tyack, Lale KhorramdelEducational and Psychological Measurement|August 22, 2022
A Multilevel Mixture IRT Framework for Modeling Response Times as Predictors or Indicators of Response Engagement in IRT ModelsGabriel Nagy, Esther UlitzschEducational and Psychological Measurement|December 22, 2025
Reconceptualizing Scoring Reliability Through Linguistic SimilarityJi Yoon Jung, Ummugul Bezirhan, Matthias von DavierEducational and Psychological Measurement|March 23, 2026
Faking in High-Stakes Personality Assessments: A Response-Time-Based Latent Response Mixture Modeling ApproachTimo Seitz, Esther UlitzschApplied Psychological Measurement|June 9, 2018
The Effects of Vignette Scoring on Reliability and Validity of Self-ReportsMatthias von Davier, Hyo-Jeong Shin, Lale Khorramdel, et al.Psychological Methods|December 20, 2021
Alleviating estimation problems in small sample structural equation modeling-A comparison of constrained maximum likelihood, Bayesian estimation, and fixed reliability approachesEsther Ulitzsch, Oliver Lüdtke, Alexander RobitzschThe British Journal of Mathematical and Statistical Psychology|February 22, 2023
Bayesian hierarchical response time modelling-A tutorialChristoph Koenig, Benjamin Becker, Esther UlitzschFrontiers in Psychology|May 17, 2021
A Comparison of Penalized Maximum Likelihood Estimation and Markov Chain Monte Carlo Techniques for Estimating Confirmatory Factor Analysis Models With Small Sample SizesOliver Lüdtke, Esther Ulitzsch, Alexander RobitzschMultivariate Behavioral Research|March 16, 2022
A Bayesian Approach to Estimating Reciprocal Effects with the Bivariate STARTS ModelOliver Lüdtke, Alexander Robitzsch, Esther UlitzschPageof 8