Forschungsinteressen: Zentrale Publikationen

Decision Making Under Risk

Key references:

  • Pachur, T., Schulte-Mecklenbeck, M., Murphy, R. O., & Hertwig, R. (2018). Prospect theory reflects selective allocation of attention. Journal of Experimental Psychology: General, 147, 147-169.
  • Pachur, T., Mata, R., & Hertwig, R. (2017). Who dares, who errs? Disentangling cognitive and motivational roots of age differences in decisions under risk. Psychological Science, 28, 504-518.
  • Pachur, T., Suter, R. S., & Hertwig, R. (2017). How the twain can meet: Prospect theory and models of heuristics in risky choice. Cognitive Psychology, 93, 44-73.
  • Kellen, D., Pachur, T., & Hertwig, R. (2016). How (in)variant are subjective representations of described and experienced risk and rewards? Cognition, 157, 126-138.
  • Lejarraga, T., Pachur, T., Frey, R., & Hertwig, R. (2016). Decisions from experience: From monetary to medical gambles. Journal of Behavioral Decision Making, 29, 67-77.
  • Scheibehenne, B., & Pachur, T. (2015). Using Bayesian hierarchical parameter estimation to assess the generalizability of cognitive models of choice. Psychonomic Bulletin & Review, 22, 391-407.
  • Pachur, T., Hertwig, R., & Wolkewitz, R. (2014). The affect gap in risky choice: Affect-rich outcomes attenuate attention to probability information. Decision, 1, 64-78.
  • Pachur, T., Hertwig, R., Gigerenzer, G., & Brandstätter, E. (2013). Testing process predictions of models of risky choice: A quantitative model comparison approach. Frontiers in Psychology, 4:646.
  • Glöckner, A., & Pachur, T. (2012). Cognitive models of risky choice: Parameter stability and predictive accuracy of prospect theory. Cognition, 123, 21-32.

 

The Development of Decision Making Across the Life Span

Key references:

  • Fechner, H. B., Pachur, T., & Schooler, L. J. (2019). How does aging impact decision making? The contribution of cognitive decline and strategic compensation revealed in a cognitive architecture. Journal of Experimental Psychology: Learning, Memory, and Cognition.
  • Groß, J., & Pachur, T. (2019). Age differences in hindsight bias: A meta-analysis. Psychology and Aging, 34, 294-310.
  • Horn, S. S., Mata, R., & Pachur, T. (2019). Good + bad = ? Developmental differences in balancing gains and losses in decisions from memory. Child Development.
  • Pachur, T., Mata, R., & Hertwig, R. (2017). Who dares, who errs? Disentangling cognitive and motivational roots of age differences in decisions under risk. Psychological Science, 28, 504-518.
  • Horn, S. S., Ruggeri, A., & Pachur, T. (2016). The development of adaptive decision making: Recognition-based inference in children and adolescents. Developmental Psychology, 52, 1470-1485.
  • Pachur, T., Mata, R., & Schooler, L. J. (2009). Cognitive aging and the use of recognition in decision making. Psychology and Aging, 24, 901-915.

 

How Attention Guides Decisions

Key references:

  • Leuker, C., Pachur, T., Hertwig, R., & Pleskac, T. J. (in press). Do people exploit risk-reward structures to simplify information processing in risky choice? Journal of the Economic Science Association.
  • Pachur, T., Schulte-Mecklenbeck, M., Murphy, R. O., & Hertwig, R. (2018). Prospect theory reflects selective allocation of attention. Journal of Experimental Psychology: General, 147, 147-169.
  • Pachur, T., & Scheibehenne, B. (2012). Constructing preference from experience: The endowment effect reflected in external information search. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 1108-1116.
  • Khader, P. H., Pachur, T., Weber, L. A. E., & Jost, K. (2016). Neural signatures of controlled and automatic retrieval processes in memory-based decision making. Journal of Cognitive Neuroscience, 28, 69-83.
  • Khader, P. H., Pachur, T., & Jost, K. (2013). Automatic activation of attribute knowledge in heuristic inference from memory. Psychonomic Bulletin & Review, 20, 372-377.
  • Khader, P. H., Pachur, T., Meier, S., Bien, S., Jost, K., & Rösler, F. (2011). Memory-based decision making with heuristics involves increased activation of decision-relevant memory representations.Journal of Cognitive Neuroscience, 23, 3540-3554.

 

Decision Making in a Social World

Key references:

  • Stevens, J. R., Woike, J. K., Schooler, L. J., Lindner, S., & Pachur, T. (2018). Social contact patterns can buffer costs of forgetting in the evolution of cooperation. Proceedings of the Royal Society of London: B, Biological Sciences, 285:20180407.
  • Pachur, T., Schooler, L. J., & Stevens, J. R. (2014). We'll meet again: Revealing distributional and temporal patterns of social contact. PLoS ONE, 9(1): e86081.
  • Pachur, T., Hertwig, R., & Rieskamp, J. (2013). Intuitive judgments of social statistics: How exhaustive does sampling need to be? Journal of Experimental Social Psychology, 49, 1059-1077.
  • Pachur, T., Hertwig, R., & Steinmann, F. (2012). How do people judge risks: Availability heuristic, affect heuristic, or both? Journal of Experimental Psychology: Applied, 18, 314-330.
  • Hills, T. T., & Pachur, T. (2012). Dynamic search and working memory in social recall. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 218-228.
  • Hertwig, R., Pachur, T., & Kurzenhäuser, S. (2005). Judgments of risk frequencies: Tests of possible cognitive mechanisms. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 621- 642.

 

Adaptive Decision Making

Key references:

  • Fechner, H. B., Schooler, L. J., & Pachur, T. (2018). Cognitive costs of decision-making strategies: A resource demand decomposition with a cognitive architecture. Cognition, 170, 102-122.
  • Horn, S. S., Ruggeri, A., & Pachur, T. (2016). The development of adaptive decision making: Recognition-based inference in children and adolescents. Developmental Psychology, 52, 1470-1485.
  • Pachur, T., & Aebi Forrer, E. (2013). Selection of decision strategies after conscious and unconscious thought. Journal of Behavioral Decision Making, 26, 477-488.
  • Pachur, T., & Bröder, A. (2013). Judgment: A cognitive processing perspective. Wiley Interdisciplinary Reviews: Cognitive Science, 4, 665-681.
  • Pachur, T., & Marinello, G. (2013). Expert intuitions: How to model the decision strategies of airport customs officers? Acta Psychologica, 144, 97-103.
  • Pachur, T., & Olsson, H. (2012). Type of learning task impacts performance and strategy selection in decision making. Cognitive Psychology, 65, 207-240.
  • Pachur, T., Todd, P. M., Gigerenzer, G., Schooler, L. J. & Goldstein, D. G. (2011). The recognition heuristic: A review of theory and tests. Frontiers in Cognitive Science, 2:147.
  • Pachur, T., Mata, R., & Schooler, L. J. (2009). Cognitive aging and the use of recognition in decision making. Psychology and Aging, 24, 901-915.
  • Pachur, T., & Hertwig, R. (2006). On the psychology of the recognition heuristic: Retrieval primacy as a key determinant of its use. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32, 983-1002.
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