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David Kellen

David Kellen

David Kellen

Associate professor and Director of the Ph.D. Program in Cognitive Psychology


486 Marley Educational Building


  • Ph.D., Psychology, Albert-Ludwigs-Universitat Freiburg, 2011.
  • M.S., + B.S., Psychology, University of Lisbon, 2008.

Social/Academic Links

Research Interests

Characterizing cognitive processes by means of mathematical models.

Academic Appointments

- Assistant Professor, Department of Psychology, Syracuse University, 2016 – present.

- Assistant, Cognitive and Decision Sciences Group, University of Basel, 2014-2016.

- Post-Doctoral Researcher, Department of Social Psychology and Methodology, Albert-Ludwigs-Universitat Freiburg, 2011-2014.

Recent Publications

Kellen, D., Pachur, T., & Hertwig, R. (in press). How (In)Variant Are Subjective Representations of Described and Experienced Risk and Rewards? Cognition.

Kellen, D., Erdfelder, E., Malmberg, K. J., Dube, C., & Criss, A. H. (in press). The Ignored Alternative: An Application of Luce’s Low-Threshold Model to Recognition Memory. Journal of Mathematical Psychology.

Kellen, D. & Klauer, K. C. (in press). Elementary Signal Detection and Threshold Theory. The Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience.

Kellen, D. & Singmann, H. (2016). ROC residuals in signal-detection models of recognition memory.Psychonomic Bulletin & Review, 23, 253-264.

Kellen, D. & Klauer, K. C. (2015). Signal detection and threshold modeling of confidence-rating ROCs: A critical test with minimal assumptions. Psychological Review, 122, 542-557.

Klauer, K. C. & Kellen, D. (2015). The Flexibility of Models of Recognition Memory: The Case of Confidence Ratings. Journal of Mathematical Psychology, 67, 8-25.

Klauer, K. C., Singmann, H., & Kellen, D. (2015). Parametric order constraints in Multinomial Processing Tree models: An extension of Knapp & Batchelder (2004). Journal of Mathematical Psychology, 64, 1-5.

Kellen, D., Singmann, H., Vogt, J., & Klauer, K. C. (2015). Further Evidence for Discrete-State Mediation in Recognition Memory. Experimental Psychology, 62, 40-53.

Kellen, D., Singmann, H., & Klauer K. C. (2014). Modeling Source Memory Overdistribution. Journal of Memory and Language, 76, 216-236.

Kellen, D., & Klauer, K. C. (2014). Discrete State and Continuous Models of Recognition Memory: Testing Core Properties under Minimal Assumptions. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40, 1795-1804.

Castela, M., Kellen, D., Erdfelder, E.. & Hilbig, B. E. (2014). The impact of subjective recognition experiences on recognition heuristic use: A multinomial processing tree approach. Psychonomic Bulletin & Review, 21, 1131-1138.

Singmann, H. & Kellen, D. (2014). Concerns with the SDT Approach to Causal Conditional Reasoning: A Comment on Trippas, Handley, Verde, Roser, McNair, and Evans (in press). Frontiers in Psychology.

Singmann, H., Klauer, K. C., & Kellen, D. (2014). Claims of Intuitive Logic Revisited: New Data and a Bayesian Mixed-Model Comparison. PLOS ONE, 9, e94223.

Dittrich, K., Kellen, D., & Stahl, C. (2014). Analyzing distributional properties of interference effects across modalities: Chances and challenges. Psychological Research, 78, 387-399.

Bröder, A., Kellen, D., Schütz, J., & Rohrmeier, C. (2013). Validating a Two-High-Threshold Measurement Model for Confidence Rating Data in Recognition. Memory, 20, 916-944.

Pachur, T., & Kellen, D. (2013). Modeling Gain-Loss Asymmetries in Risky Choice: The Critical Role of Probability Weighting. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Singmann, H., Kellen, D., & Klauer, K. C. (2013). Investigating the Other-Race Effect of Germans towards Turks and Arabs using Multinomial Processing Tree Models. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Kellen, D., Klauer, K. C., & Singmann, H. (2013). On the Measurement of Criterion Noise in Signal Detection Theory: Reply to Benjamin (2013). Psychological Review, 120, 727-730.

Kellen, D., Klauer, K. C., & Bröder, A. (2013). Recognition Memory Models and Binary-Response ROCs: A Comparison by Minimum Description Length. Psychonomic Bulletin & Review, 20, 693-719.

Singmann, H., & Kellen, D. (2013). MPTinR: Analysis of Multinomial Processing Tree models with R.Behavior Research Methods, 45, 560–575.

Kellen, D., Klauer, K. C., & Singmann, H. (2012). On the measurement of criterion noise in Signal Detection Theory: The case of recognition memory. Psychological Review, 119, 457-479.

Klauer, K. C., & Kellen, D. (2012). The Law of Categorical Judgment (Corrected) extended: A note on Rosner and Kochanski (2009). Psychological Review, 119, 216-220.

Klauer, K. C., & Kellen, D. (2011). The flexibility of models of recognition memory: An analysis by the minimum-description length principle. Journal of Mathematical Psychology, 55, 430-450.

Kellen, D., & Klauer, K. C. (2011). Evaluating models of recognition memory using first- and second-choice responses. Journal of Mathematical Psychology, 55, 251–266.

Klauer, K. C., & Kellen, D. (2011). Assessing the belief bias effect with ROCs: Reply to Dube, Rotello, and Heit (2010). Psychological Review, 118, 164-173.

Klauer, K. C., & Kellen, D. (2010). Toward a complete decision model of item and source recognition: A discrete-state approach. Psychonomic Bulletin & Review, 17, 465-478.