Peer Reviewed Publications

The raw data and analysis scripts are available for many papers, at least for those papers where I was first author. Just click on “Links”.

Citation information can be found at my Google Scholar profile.

Submitted manuscripts (i.e., under review or in revision)

Kellen, D., Winiger, S., Dunn, J. C., & Singmann, H. (under review). Testing the Foundations of Signal Detection Theory in Recognition Memory.

Winiger, S., Singmann, H., & Kellen, D. (under review). Bias in Confidence: A critical test for discrete-state models of visual working memory.

Newall, P. W. S., Walasek, L., Singmann, H., & Ludvig, E. A. (under review). Testing a gambling warning label’s effect on behavior.

Publications

Note: Publications “in press” are displayed as published in the upcoming year.

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2020

6. Baumann, Chrisitiane; Singmann, Henrik; Gershman, Samuel; von Helversen, Bettina: A Linear Threshold Model for Optimal Stopping Behavior. Proceedings of the National Academy of Sciences, 117 (23), pp. 12750-12755, 2020. (Type: Journal Article | Links | BibTeX | Tags: Decision Making, hierarchical-Bayesian modeling, mathematical modeling, measurement models)
5. Gronau, Quentin F; Singmann, Henrik; Wagenmakers, Eric-Jan: bridgesampling: An R Package for Estimating Normalizing Constants. Journal of Statistical Software, 92 (10), 2020. (Type: Journal Article | Abstract | Links | BibTeX | Tags: hierarchical-Bayesian modeling, R, Software, Statistics - Computation)

2018

4. Trippas, Dries; Kellen, David; Singmann, Henrik; Pennycook, Gordon; Koehler, Derek J; Fugelsang, Jonathan A; Dubé, Chad: Characterizing Belief Bias in Syllogistic Reasoning: A Hierarchical-Bayesian Meta-Analysis of ROC Data. Psychonomic Bulletin & Review, 25 (6), pp. 2141–2174, 2018. (Type: Journal Article | Links | BibTeX | Tags: hierarchical-Bayesian modeling, mathematical modeling, measurement models, Meta Analysis, Reasoning, Signal detection, syllogistic reasoning)
3. Singmann, Henrik; Kellen, David; Mizrak, Eda; Öztekin, Ilke: Using Ensembles of Cognitive Models to Answer Substantive Questions. Rogers, Tim; Rau, Marina; Zhu, Jerry; Kalish, Chuck (Ed.): Proceedings of the 40th Annual Conference of the Cognitive Science Society, pp. 1070–1075, Austin TX: Cognitive Science Society, 2018. (Type: Inproceedings | Links | BibTeX | Tags: hierarchical-Bayesian modeling, mathematical modeling, measurement models, model selection)
2. Bartsch, Lea; Singmann, Henrik; Oberauer, Klaus: The Effects of Refreshing and Elaboration on Working Memory Performance, and their Contributions to Long-Term Memory Formation. Memory & Cognition, 46 (5), pp. 796-808, 2018. (Type: Journal Article | Links | BibTeX | Tags: hierarchical-Bayesian modeling, working memory)

2014

1. Kellen, David ; Singmann, Henrik ; Klauer, Karl Christoph : Modeling source-memory overdistribution. Journal of Memory and Language, 76 , pp. 216–236, 2014. (Type: Journal Article | Links | BibTeX | Tags: Familiarity, hierarchical-Bayesian modeling, mathematical modeling, measurement models, memory, MPT models, overdistribution, source memory)

Other up-to-date lists of my publications can be found at my Google Scholar profile (which contains citation information), my ReseachGate profile, or my ORCID profile (can be a little outdated).