Four challenges for cognitive research on the recognition heuristic and a call for a research strategy shift
Journal Title: Judgment and Decision Making - Year 2011, Vol 6, Issue 1
Abstract
The recognition heuristic assumes that people make inferences based on the output of recognition memory. While much work has been devoted to establishing the recognition heuristic as a viable description of how people make inferences, more work is needed to fully integrate research on the recognition heuristic with research from the broader cognitive psychology literature. In this article, we outline four challenges that should be met for this integration to take place, and close with a call to address these four challenges collectively, rather than piecemeal.
Authors and Affiliations
Tracy Tomlinson, Julian N. Marewski and Michael Dougherty
Keywords
Related Articles
- EP ID EP677781
- DOI -
- Views 143
- Downloads 0
Predictably intransitive preferences
The transitivity axiom is common to nearly all descriptive and normative utility theories of choice under risk. Contrary to both intuition and common assumption, the little-known ’Steinhaus-Trybula paradox’ shows the rel...
Moody experts — How mood and expertise influence judgmental anchoring
Anchoring effects, the assimilation of numerical estimates to previously considered standards, are highly robust. Two studies examined whether mood and expertise jointly moderate the magnitude of anchoring. Previous rese...
A statistical test of independence in choice data with small samples
This paper develops tests of independence and stationarity in choice data collected with small samples. The method builds on the approach of Smith and Batchelder (2008). The technique is intended to distinguish cases whe...
Choosing with confidence: Self-efficacy and preferences for choice
Previous research on the role of choice set size in decision making has focused on decision outcomes and satisfaction. In contrast, little is known about interindividual differences in preferences for larger versus small...
Using hierarchical Bayesian methods to examine the tools of decision-making
Hierarchical Bayesian methods offer a principled and comprehensive way to relate psychological models to data. Here we use them to model the patterns of information search, stopping and deciding in a simulated binary com...