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Multivariate Behavioral Research|August 27, 2019
Using Response Times for Joint Modeling of Response and Omission BehaviorEsther Ulitzsch, Matthias von Davier, Steffi PohlThe British Journal of Mathematical and Statistical Psychology|November 12, 2019
A hierarchical latent response model for inferences about examinee engagement in terms of guessing and item-level non-responseEsther Ulitzsch, Matthias von Davier, Steffi PohlPsychometrika|May 5, 2019
Using Response Times to Model Not-Reached Items due to Time LimitsSteffi Pohl, Esther Ulitzsch, Matthias von DavierEducational and Psychological Measurement|May 20, 2020
A Multiprocess Item Response Model for Not-Reached Items due to Time Limits and QuittingEsther Ulitzsch, Matthias von Davier, Steffi PohlPsychometrika|December 2, 2021
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey DataEsther Ulitzsch, Steffi Pohl, Lale Khorramdel, et al.Multivariate Behavioral Research|April 10, 2024
A Model-Based Approach to the Disentanglement and Differential Treatment of Engaged and Disengaged Item OmissionsEsther Ulitzsch, Susu Zhang, Steffi PohlEducational and Psychological Measurement|November 18, 2024
Assessing the Speed-Accuracy Tradeoff in Psychological Testing Using Experimental ManipulationsTobias Alfers, Georg Gittler, Esther Ulitzsch, et al.Psychometrika|February 5, 2021
Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response ProcessesEsther Ulitzsch, Qiwei He, Vincent Ulitzsch, et al.Psychometrika|August 3, 2021
Commentary: Matching IRT Models to PRO Constructs- Modeling Alternatives, and Some Thoughts on What Makes a Model DifferentMatthias von DavierPsychometrika|March 14, 2018
Automated Item Generation with Recurrent Neural NetworksMatthias von DavierPageof 8