ZORA Publication List

Publications

• Li, C., Frischkorn-Bartsch, G., Dames, H., & Oberauer, K. (2025). The benefit of removing information from working memory: Increasing available cognitive resources or reducing interference? Cognition, 260, 106134. https://doi.org/10.1016/j.cognition.2025.106134
• Nunez, M. D., Schubert, A.-L., Frischkorn-Bartsch, G., & Oberauer, K. (2025). Cognitive models of decision-making with identifiable parameters: Diffusion decision models with within-trial noise Journal of Mathematical Psychology, 125, 102917. https://doi.org/10.1016/j.jmp.2025.102917
• Frischkorn-Bartsch, G., & Popov, V. (2025). A tutorial for estimating Bayesian hierarchical mixture models for visual working memory tasks: Introducing the Bayesian Measurement Modeling (bmm) package for R Behavior Research Methods, 57, 144. https://doi.org/10.3758/s13428-025-02643-0
• Li, C., Frischkorn, G. T., & Oberauer, K. (2025). Updating of information in working memory: Time course and consequences Cognitive Psychology, 156, 101702. https://doi.org/10.1016/j.cogpsych.2024.101702
• Bartsch, L. M., Frischkorn, G. T., & Shepherdson, P. (2024). When Load is Low, Working Memory is Shielded From Long-Term Memory’s Influence Journal of Cognition, 7, 44. https://doi.org/10.5334/joc.368
• Dames, H., Musfeld, P., Popov, V., Oberauer, K., & Frischkorn, G. T. (2024). Responsible Research Assessment Should Prioritize Theory Development and Testing Over Ticking Open Science Boxes Meta-Psychology, 8, 3735. https://doi.org/10.15626/MP.2023.3735
• Souza, A. S., & Frischkorn, G. T. (2023). A diffusion model analysis of age and individual differences in the retro-cue benefit Scientific Reports, 13, 17356. https://doi.org/10.1038/s41598-023-44080-z
• Frischkorn, G. T., & Popov, V. (2023). A tutorial for estimating mixture models for visual working memory tasks in brms: Introducing the Bayesian Measurement Modeling (bmm) package for R (No. umt57; PsyArXiv Preprints). https://doi.org/10.31234/osf.io/umt57
• Dames, H., Musfeld, P., Popov, V., Oberauer, K., & Frischkorn, G. T. (2023). Responsible Research Assessment Should Prioritize Theory Development and Testing Over Ticking Open Science Boxes (No. ad74m; PsyArXiv Preprints). https://doi.org/10.31234/osf.io/ad74m
• Frischkorn, G. T., Wilhelm, O., & Oberauer, K. (2022). Process-oriented intelligence research: A review from the cognitive perspective Intelligence, 94, 101681. https://doi.org/10.1016/j.intell.2022.101681
• Frischkorn, G. T., Hilger, K., Kretzschmar, A., & Schubert, A.-L. (2022). Intelligenzdiagnostik der Zukunft: Ein Plädoyer für eine prozessorientierte und biologisch-inspirierte Intelligenzmessung Psychologische Rundschau, 73, 173–189. https://doi.org/10.1026/0033-3042/a000598
• Frischkorn, G. T., Von Bastian, C. C., Souza, A. S., & Oberauer, K. (2022). Individual differences in updating are not related to reasoning ability and working memory capacity Journal of Experimental Psychology. General, 151, 1341–1357. https://doi.org/10.1037/xge0001141
• Löffler, C., Frischkorn, G. T., Rummel, J., Hagemann, D., & Schubert, A.-L. (2021). Do Attentional Lapses Account for the Worst Performance Rule? Journal of Intelligence, 10, 2. https://doi.org/10.3390/jintelligence10010002
• Frischkorn, G. T., & von Bastian, C. C. (2021). In Search of the Executive Cognitive Processes Proposed by Process-Overlap Theory Journal of Intelligence, 9, 43. https://doi.org/10.3390/jintelligence9030043
• Frischkorn, G. T., & Oberauer, K. (2021). Intelligence test items varying in capacity demands cannot be used to test the causality of working memory capacity for fluid intelligence Psychonomic Bulletin & Review, 28, 1423–1432. https://doi.org/10.3758/s13423-021-01909-w
• Lerche, V., von Krause, M., Voss, A., Frischkorn, G. T., Schubert, A.-L., & Hagemann, D. (2020). Diffusion modeling and intelligence: Drift rates show both domain-general and domain-specific relations with intelligence Journal of Experimental Psychology. General, 149, 2207–2249. https://doi.org/10.1037/xge0000774
• Schubert, A.-L., & Frischkorn, G. T. (2020). Neurocognitive Psychometrics of Intelligence: How Measurement Advancements Unveiled the Role of Mental Speed in Intelligence Differences Current Directions in Psychological Science, 29, 140–146. https://doi.org/10.1177/0963721419896365
• Frischkorn, G. T., & Oberauer, K. (2020). Intelligence test items varying in capacity demands cannot be used to test the causality of working memory capacity for fluid intelligence (o. Nr.; PsyArXiv Preprints). https://doi.org/10.31234/osf.io/quyj5
• Frischkorn, G. T., von Bastian, C. C., Souza, A. S., & Oberauer, K. (2020). Individual Differences in Updating are not related to Reasoning Ability and Working Memory Capacity (No. 92uhb; PsyArXiv Preprints). https://osf.io/zkd4c/?view_only=3936d8fc73924164b0e0cc4325740ae4
• Schubert, A.-L., Hagemann, D., Löffler, C., & Frischkorn, G. T. (2019). Disentangling the Effects of Processing Speed on the Association between Age Differences and Fluid Intelligence Journal of Intelligence, 8, 1–20. https://doi.org/10.3390/jintelligence8010001