|Prof. Dr. Thorsten Meiser |
L13, 15, room 326
Liaison Officer of the German Research Foundation (DFG)
at the University of Mannheim
- Statistical modelling of cognitive processes
- Episodic memory, prospective memory, and metacognition
- Contingency learning, judgement and decision making
- Item response theory
- Böckenholt, U. & Meiser, T. (2017). Response style analysis with threshold and multiprocess IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159-181.
- Fiedler, K., Freytag, P., & Meiser, T. (2009). Pseudocontingencies: An integrative account of an intriguing cognitive illusion. Psychological Review, 116, 187-206.
- Meiser, T. (2011). Much pain, little gain? Paradigm-specific models and methods in experimental psychology. Perspectives on Psychological Science, 6, 183-191.
- Meiser, T. (2014). Analyzing stochastic dependence of cognitive processes in multidimensional source recognition. Experimental Psychology, 61, 402-415.
- Meiser, T., & Hewstone, M. (2004). Cognitive processes in stereotype formation: The role of correct contingency learning for biased group judgments. Journal of Personality and Social Psychology, 87, 599-614.
- Meiser, T., & Machunsky, M. (2008). The personal structure of personal need for structure: A mixture-distribution Rasch analysis. European Journal of Psychological Assessment, 24, 27-34.
- Meiser, T., & Rummel, J. (2012). False prospective memory responses as indications of automatic processes in the initiation of delayed intentions. Consciousness and Cognition, 21, 1509-1516.
- Meiser, T., Sattler, C., & Weißer (2008). Binding of multidimensional context information as a distinctive characteristic of remember judgments. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 32-49.
- Meiser, T., & Steinwascher, M. (2014). Different kinds of interchangeable methods in multitrait-multimethod analysis: A note on the multilevel CFA-MTMM model by Koch et al. (2014). Frontiers in Psychology: Quantitative Psychology and Measurement. DOI: 10.3389/fpsyg.2014.00615