Dr. Henrik Singmann
Dr. Henrik Singmann
Raum 4033, 4. OG
Tel.: +49 (0)761/203-9400
(Note that Journal articles are usually password protected, in this case SINGMANN might help)
Kellen, D., Singmann, H., & Klauer K. C. (in press). Modeling Source Memory Overdistiribution. Journal of Memory and Language.
Kellen, D., Singmann, H., Vogt, J., & Klauer, K. C. (in press). Further Evidence for Discrete-State Mediation in Recognition Memory. Experimental Psychology.
Ragni, M., Singmann, H., & Steinlein, E.-M. (in press). Theory Comparison for Generalized Quantifiers. Proceedings of the 36th Annual Conference of the Cognitive Science Society.
Singmann, H., Klauer, K. C. & Kellen, D. (2014). Intuitive Logic Revisited: New Data and a Bayesian Mixed Model Meta-Analysis. PLoS ONE, 9(4), e94223.
Singmann H. & Kellen D. (2014). Concerns with the SDT Approach to Causal Conditional Reasoning: A Comment on Trippas, Handley, Verde, Roser, Mcnair, and Evans (2014). Frontiers in Psychology, 5, 402.
Singmann H., Klauer K. C. & Over D. E. (2014). New Normative Standards of Conditional Reasoning and the Dual-Source Model. Frontiers in Psychology, 5, 316.
Merkt, J., Singmann, H., Bodenburg, S., Goosens-Merkt, H., Kappes, A., Wendt, M., & Gawrilow, C. (2013). Flanker Performance in Female College Students with ADHD - A Diffusion Model Analysis. ADHD Attention Deficit and Hyperactivity Disorders, 5, 321-341. [unprotected submission format]
Klauer, K. C., & Singmann, H. (2013). Does Logic Feel Good? Testing for Intuitive Detection of Logicality in Syllogistic Reasoning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39, 1265-1273. [unprotected submission format]
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.
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 (pp. 1330-1336). Austin, TX: Cognitive Science Society. [supplemental material]
Singmann, H., & Kellen, D. (2013). MPTinR: Analysis of Multinomial Processing Tree Models in R. Behavior Research Methods, 45, 560–575. [supplemental material] [unprotected submission format]
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. [unportected submission format]
Kappes, A. Singmann, H., & Oettingen, G. (2012). Mental Contrasting Instigates Goal-Pursuit by Linking Obstacles of Reality with Instrumental Behavior. Journal of Experimental Social Psychology, 18, 811-818.
Singmann, H., & Klauer, K. C. (2011). Deductive and Inductive Conditional Inferences: Two Modes of Reasoning. Thinking & Reasoning, 17, 247-281. [unportected submission format]
The list with presentations and posters can now be found here.
Workshops (hosted or organized)
Operationalization 2013. 14-16 October, 2013. Workshop organized together with Marco Ragni, Vincezo Crupi and Jan Sprenger. The workshop is co-sponsored by the DFG Priority Program "New Frameworks of Rationality" (SPP 1516) and the Freiburg Institute for Advanced Studies (FRIAS).
Operationalizing Epistemic Concepts. 10-13 September, 2012. Workshop organized with Jan Sprenger and Vincezo Crupi. (See Posters and Presentations 2012, below, for materials from my tutorial sessions)
Data analysis and modeling methods in R. November 24th and December 8th, 2012. Mannheim University. Together with David Kellen.
An introduction to R. August 6th and 13th, 2012. Universität Zürich. Together with David Kellen.
An introduction to R. October 19th and 24th, 2011. Mannheim University. Together with David Kellen.
Other Important Activities
Author and maintainer of R package afex.
Author and maintainer of R package MPTinR.
Author and maintainer of R package acss.
An essay on how to do science by Richard Feynman.
http://www.psychopy.org/ Using Python for designing experiments is almost as great as R! And better than anything I tested before (e.g., C++).
http://stats.stackexchange.com/ You have statistics questions? Here you will get an answer. Potentially by me...
http://stackoverflow.com/ Any programming questions? Check this out. You can find me at the R tag.