ZORA Publikationsliste

Publikationen

• Rey-Mermet, A., Singmann, H., & Oberauer, K. (2025). Neither measurement error nor speed–accuracy trade-offs explain the difficulty of establishing attentional control as a psychometric construct: Evidence from a latent-variable analysis using diffusion modeling Psychonomic Bulletin & Review, 32, 2585–2632. https://doi.org/10.3758/s13423-025-02696-4
• Singmann, H., Heck, D. W., Barth, M., Erdfelder, E., Arnold, N. R., Aust, F., Calanchini, J., Gümüsdagli, F. E., Horn, S. S., Kellen, D., Klauer, K. C., Matzke, D., Meissner, F., Michalkiewicz, M., Schaper, M. L., Stahl, C., Kuhlmann, B. G., & Groß, J. (2024). Evaluating the robustness of parameter estimates in cognitive models: A meta-analytic review of multinomial processing tree models across the multiverse of estimation methods Psychological Bulletin, 150(8), 965–1003. https://doi.org/10.1037/bul0000434
• Baumann, C., Singmann, H., Gershman, S. J., & von Helversen, B. (2020). A linear threshold model for optimal stopping behavior Proceedings of the National Academy of Sciences of the United States of America, 117, 12750–12755. https://doi.org/10.1073/pnas.2002312117
• Niklaus, M., Singmann, H., & Oberauer, K. (2018). Two distinct mechanisms of selection in working memory: Additive last-item and retro-cue benefits Cognition, 183, 282–302. https://doi.org/10.1016/j.cognition.2018.11.015
• Bartsch, L. M., Singmann, H., & Oberauer, K. (2018). The effects of refreshing and elaboration on working memory performance, and their contributions to long-term memory formation Memory & Cognition, 46, 796–808. https://doi.org/10.3758/s13421-018-0805-9
• Mizrak, E., Singmann, H., & Öztekin, I. (2018). Forgetting emotional material in working memory Social Cognitive and Affective Neuroscience, 13, 331–340. https://doi.org/10.1093/scan/nsx145
• Singmann, H., Kellen, D., Mizrak, E., & Öztekin, I. (2018). Using Ensembles of Cognitive Models to Answer Substantive Questions In C. W. Kalish & M. Rau (Eds.), Changing/minds : 40th Annual Meeting of the Cognitive Science Society (CogSci 2018) (pp. 1068–1074). Curran Associates.
• Singmann, H., Kellen, D., Mizrak, E., & Öztekin, I. (2018). Using Ensembles of Cognitive Models to Answer Substantive Questions (No. rg4sz; PsyArXiv Preprints). https://doi.org/10.31234/osf.io/rg4sz
• Niklaus, M., Singmann, H., & Oberauer, K. (2018). Two Distinct Mechanisms of Selection in Working Memory: Additive Last-Item and Retro-Cue Benefits (No. bcav6; PsyArXiv Preprints). https://doi.org/10.31234/osf.io/bcav6
• Kellen, D., & Singmann, H. (2017). Memory representations, tree structures, and parameter polysemy: Comment on Cooper, Greve, and Henson (2017) Cortex, 96, 148–155. https://doi.org/10.1016/j.cortex.2017.05.015
• Singmann, H., Klauer, K. C., & Beller, S. (2016). Probabilistic conditional reasoning: Disentangling form and content with the dual-source model Cognitive Psychology, 88, 61–87. https://doi.org/10.1016/j.cogpsych.2016.06.005
• Skovgaard-Olsen, N., Singmann, H., & Klauer, K. C. (2016). The relevance effect and conditionals Cognition, 150, 26–36. https://doi.org/10.1016/j.cognition.2015.12.017
• Gauvrit, N., Singmann, H., Soler-Toscano, F., & Zenil, H. (2016). Algorithmic complexity for psychology: a user-friendly implementation of the coding theorem method Behavior Research Methods, 48, 314–329. https://doi.org/10.3758/s13428-015-0574-3
• Kellen, D., & Singmann, H. (2016). ROC residuals in signal-detection models of recognition memory Psychonomic Bulletin & Review, 23, 253–264. https://doi.org/10.3758/s13423-015-0888-2
• Hindriks, F., Douven, I., & Singmann, H. (2016). A New Angle on the Knobe Effect: Intentionality Correlates with Blame, not with Praise Mind & Language, 31, 204–220. https://doi.org/10.1111/mila.12101
• Skovgaard-Olsen, N., Singmann, H., & Klauer, K. C. (2016). Relevance and Reason Relations Cognitive Science, 41, 1202–1215. https://doi.org/10.1111/cogs.12462