| 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 | 101 | 2020 |
| 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 | 64 | 2022 |
| 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 | 56 | 2020 |
| 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 | 52 | 2021 |
| 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 | 44 | 2022 |
| 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 | 40 | 2022 |
| 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 | 39 | 2022 |
| 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 | 36* | 2019 |
| 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 | 33 | 2020 |
| Reframing rankings in educational assessments S Pohl, E Ulitzsch, M von Davier Science 372 (6540), 338-340, 2021 | 29 | 2021 |
| 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 | 27 | 2023 |
| 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 | 26 | 2021 |
| 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 | 25 | 2024 |
| 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 | 25 | 2023 |
| 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 | 24 | 2021 |
| 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 | 16 | 2023 |
| Using response times for joint modeling of careless responding and attentive response styles E Ulitzsch, S Pohl, L Khorramdel, U Kroehne, M von Davier Journal of Educational and Behavioral Statistics 49 (2), 173-206, 2024 | 15 | 2024 |
| 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 | 14 | 2023 |
| 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 | 13 | 2017 |
| 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 | 12 | 2023 |