The Empirical content of theories in judgment and decision making: Shortcomings and remedies
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References listed on IDEAS
- Andreas Glöckner & Tilmann Betsch, 2008. "Modeling Option and Strategy Choices with Connectionist Networks: Towards an Integrative Model of Automatic and Deliberate Decision Making," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2008_02, Max Planck Institute for Research on Collective Goods.
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- Tracy Tomlinson & Julian N. Marewski & Michael Dougherty, 2011. "Four challenges for cognitive research on the recognition heuristic and a call for a research strategy shift," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(1), pages 89-99, February.
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- repec:jdm:journl:v:12:y:2017:i:6:p:537-552 is not listed on IDEAS
- Steven Verheyen & Wouter Voorspoels & Gert Storms, 2015. "Inferring choice criteria with mixture IRT models: A demonstration using ad hoc and goal-derived categories," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 10(1), pages 97-114, January.
- Basel, Jörn S. & Brühl, Rolf, 2013. "Rationality and dual process models of reasoning in managerial cognition and decision making," European Management Journal, Elsevier, vol. 31(6), pages 745-754.
- Andreas Glockner & Benjamin E. Hilbig, 2011. "Editorial: Methodology in judgment and decision making research," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(8), pages 705-710, December.
- Pascal J. Kieslich & Benjamin E. Hilbig, 2015. "Judging competing theoretical accounts by their empirical content and parsimony: Reply to Myrseth and Wollbrant (2015)," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 10(3), pages 280-283, May.
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Keywordsempirical content; theory of science; critical rationalism; methodology; formalization; falsification; critical testing.;
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