Literature DB >> 23794254

Ecological rationality or nested sets? Individual differences in cognitive processing predict Bayesian reasoning.

Miroslav Sirota1, Marie Juanchich, York Hagmayer.   

Abstract

The presentation of a Bayesian inference problem in terms of natural frequencies rather than probabilities has been shown to enhance performance. The effect of individual differences in cognitive processing on Bayesian reasoning has rarely been studied, despite enabling us to test process-oriented variants of the two main accounts of the facilitative effect of natural frequencies: The ecological rationality account (ERA), which postulates an evolutionarily shaped ease of natural frequency automatic processing, and the nested sets account (NSA), which posits analytical processing of nested sets. In two experiments, we found that cognitive reflection abilities predicted normative performance equally well in tasks featuring whole and arbitrarily parsed objects (Experiment 1) and that cognitive abilities and thinking dispositions (analytical vs. intuitive) predicted performance with single-event probabilities, as well as natural frequencies (Experiment 2). Since these individual differences indicate that analytical processing improves Bayesian reasoning, our findings provide stronger support for the NSA than for the ERA.

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Year:  2014        PMID: 23794254     DOI: 10.3758/s13423-013-0464-6

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  14 in total

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Authors: 
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Review 10.  Base-rate respect: From ecological rationality to dual processes.

Authors:  Aron K Barbey; Steven A Sloman
Journal:  Behav Brain Sci       Date:  2007-06       Impact factor: 12.579

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  23 in total

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Review 5.  Perspectives on the 2 × 2 Matrix: Solving Semantically Distinct Problems Based on a Shared Structure of Binary Contingencies.

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7.  The effect of iconicity of visual displays on statistical reasoning: evidence in favor of the null hypothesis.

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8.  Effects of visualizing statistical information - an empirical study on tree diagrams and 2 × 2 tables.

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9.  On Bayesian problem-solving: helping Bayesians solve simple Bayesian word problems.

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10.  Bayesian probability estimates are not necessary to make choices satisfying Bayes' rule in elementary situations.

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