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)

Foster, K. & Singmann, H. (in revision). Another Approximation of the First-Passage Time Densities for the Ratcliff Diffusion Decision Model.

Winiger, S., Singmann, H., & Kellen, D. (in revision). Violations of Conditional Independence in Mixed-State Models of Visual Working Memory.

Rey-Mermet, A.,  Singmann, H., Oberauer, K. (in revision). 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.

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. In: Proceedings of the National Academy of Sciences, vol. 117, no. 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. In: Journal of Statistical Software, vol. 92, no. 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. In: Psychonomic Bulletin & Review, vol. 25, no. 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. In: 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. In: Memory & Cognition, vol. 46, no. 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. In: Journal of Memory and Language, vol. 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).