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Multivariate Behavioral Research|January 8, 2016
Measuring Response Styles Across the Big Five: A Multiscale Extension of an Approach Using Multinomial Processing TreesLale Khorramdel, Matthias von DavierThe British Journal of Mathematical and Statistical Psychology|August 7, 2019
Combining mixture distribution and multidimensional IRTree models for the measurement of extreme response stylesLale Khorramdel, Matthias von Davier, Artur PokropekEducational and Psychological Measurement|May 15, 2023
Scoring Graphical Responses in TIMSS 2019 Using Artificial Neural NetworksMatthias von Davier, Lillian Tyack, Lale KhorramdelApplied 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.Psychometrika|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.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 DavierThe British Journal of Mathematical and Statistical Psychology|January 10, 2013
The DINA model as a constrained general diagnostic model: Two variants of a model equivalencyMatthias von DavierThe British Journal of Mathematical and Statistical Psychology|May 31, 2007
A general diagnostic model applied to language testing dataMatthias von DavierEducational and Psychological Measurement|July 3, 2023
A Robust Method for Detecting Item Misfit in Large-Scale AssessmentsMatthias von Davier, Ummugul BezirhanPageof 3