Follow
Esther Ulitzsch
Esther Ulitzsch
Verified email at cemo.uio.no
Title
Cited by
Cited by
Year
A hierarchical latent response model for inferences about examinee engagement in terms of guessing and item‐level non‐response
E Ulitzsch, M von Davier, S Pohl
British Journal of Mathematical and Statistical Psychology 73, 83-112, 2020
882020
Using response times for joint modeling of response and omission behavior
E Ulitzsch, M von Davier, S Pohl
Multivariate Behavioral Research 55 (3), 425-453, 2020
482020
A response-time-based latent response mixture model for identifying and modeling careless and insufficient effort responding in survey data
E Ulitzsch, S Pohl, L Khorramdel, U Kroehne, M von Davier
Psychometrika 87 (2), 593-619, 2022
472022
Combining clickstream analyses and graph-modeled data clustering for identifying common response processes
E Ulitzsch, Q He, V Ulitzsch, H Molter, A Nichterlein, R Niedermeier, ...
psychometrika 86 (1), 190-214, 2021
472021
Using response times to model not-reached items due to time limits
S Pohl, E Ulitzsch, M von Davier
psychometrika 84 (3), 892-920, 2019
35*2019
A multilevel mixture IRT framework for modeling response times as predictors or indicators of response engagement in IRT models
G Nagy, E Ulitzsch
Educational and Psychological Measurement 82 (5), 845-879, 2022
332022
Using sequence mining techniques for understanding incorrect behavioral patterns on interactive tasks
E Ulitzsch, Q He, S Pohl
Journal of Educational and Behavioral Statistics 47 (1), 3-35, 2022
332022
An explanatory mixture IRT model for careless and insufficient effort responding in self‐report measures
E Ulitzsch, SN Yildirim‐Erbasli, G Gorgun, O Bulut
British Journal of Mathematical and Statistical Psychology 75 (3), 668-698, 2022
302022
A Multiprocess Item Response Model for Not-Reached Items due to Time Limits and Quitting
E Ulitzsch, M von Davier, S Pohl
Educational and Psychological Measurement 80 (3), 522-547, 2020
282020
A comparison of penalized maximum likelihood estimation and Markov Chain Monte Carlo techniques for estimating confirmatory factor analysis models with small sample sizes
O Lüdtke, E Ulitzsch, A Robitzsch
Frontiers in Psychology 12, 615162, 2021
252021
Model meets reality: Validating a new behavioral measure for test-taking effort
E Ulitzsch, C Penk, M von Davier, S Pohl
Educational Assessment 26 (2), 104-124, 2021
232021
Reframing rankings in educational assessments
S Pohl, E Ulitzsch, M von Davier
Science 372 (6540), 338-340, 2021
232021
A machine learning-based procedure for leveraging clickstream data to investigate early predictability of failure on interactive tasks
E Ulitzsch, V Ulitzsch, Q He, O Lüdtke
Behavior Research Methods 55 (3), 1392-1412, 2023
222023
Accounting for careless and insufficient effort responding in large-scale survey data—development, evaluation, and application of a screen-time-based weighting procedure
E Ulitzsch, HJ Shin, O Lüdtke
Behavior Research Methods 56 (2), 804-825, 2024
142024
The role of rapid guessing and test‐taking persistence in modelling test‐taking engagement
G Nagy, E Ulitzsch, MA Lindner
Journal of Computer Assisted Learning 39 (3), 751-766, 2023
142023
Comparing multilevel and classical confirmatory factor analysis parameterizations of multirater data: a Monte Carlo simulation study
E Ulitzsch, J Holtmann, M Schultze, M Eid
Structural Equation Modeling: A Multidisciplinary Journal 24 (1), 80-103, 2017
142017
Alleviating estimation problems in small sample structural equation modeling—A comparison of constrained maximum likelihood, Bayesian estimation, and fixed reliability approaches.
E Ulitzsch, O Lüdtke, A Robitzsch
Psychological Methods 28 (3), 527, 2023
132023
Analyzing stability and change in dyadic attachment: The multi-rater latent state-trait model with autoregressive effects
J Bohn, J Holtmann, E Ulitzsch, T Koch, M Luhmann, M Eid
Frontiers in psychology 12, 604526, 2021
82021
A probabilistic filtering approach to non‐effortful responding
E Ulitzsch, BW Domingue, R Kapoor, K Kanopka, JA Rios
Educational Measurement: Issues and Practice 42 (3), 50-64, 2023
72023
A bayesian approach to estimating reciprocal effects with the bivariate STARTS model
O Lüdtke, A Robitzsch, E Ulitzsch
Multivariate Behavioral Research 58 (3), 560-579, 2023
72023
The system can't perform the operation now. Try again later.
Articles 1–20