Book Review Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment

por Ulitzsch, Esther
Publicado 2022

A Multilevel Mixture IRT Framework for Modeling Response Times as Predictors or Indicators of Response Engagement in IRT Models

por Nagy, Gabriel, Ulitzsch, Esther
Publicado 2021

A Comparison of Penalized Maximum Likelihood Estimation and Markov Chain Monte Carlo Techniques for Estimating Confirmatory Factor Analysis Models With Small Sample Sizes

por Lüdtke, Oliver, Ulitzsch, Esther, Robitzsch, Alexander
Publicado 2021

A machine learning-based procedure for leveraging clickstream data to investigate early predictability of failure on interactive tasks

por Ulitzsch, Esther, Ulitzsch, Vincent, He, Qiwei, Lüdtke, Oliver
Publicado 2022

A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data

por Ulitzsch, Esther, Pohl, Steffi, Khorramdel, Lale, Kroehne, Ulf, von Davier, Matthias
Publicado 2021

Analyzing Stability and Change in Dyadic Attachment: The Multi-Rater Latent State-Trait Model With Autoregressive Effects

por Bohn, Johannes, Holtmann, Jana, Ulitzsch, Esther, Koch, Tobias, Luhmann, Maike, Eid, Michael
Publicado 2021

Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes

por Ulitzsch, Esther, He, Qiwei, Ulitzsch, Vincent, Molter, Hendrik, Nichterlein, André, Niedermeier, Rolf, Pohl, Steffi
Publicado 2021