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Linda is not a bearded lady : configural weighting and adding as the cause of extension errors

Nilsson, Håkan and Winman, Anders and Juslin, Peter and HAnsson, Göran. (2009) Linda is not a bearded lady : configural weighting and adding as the cause of extension errors. Journal of experimental psychology. General, Vol. 138, H. 4. pp. 517-534.

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Official URL: http://edoc.unibas.ch/dok/A5260047

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Abstract

This article explores the configural weighted average (CWA) hypothesis suggesting that extension biases, like conjunction and disjunction errors, occur because people estimate compound probabilities by taking a CWA of the constituent probabilities. The hypothesis suggests a process consistent with well-known cognitive constraints, which nonetheless achieves high robustness and bounded rationality in noisy real-life environments. Predictions by the CWA hypothesis are that in error-free data, conjunction and disjunction errors should be the rule rather than the exception when pairs of statements are randomly sampled from an environment, the rate of extension errors should increase when noise in data is decreased, and that adding a likely component should increase the probability of a conjunction. Four experiments generally verify the predictions by the hypothesis, demonstrating that extension errors are frequent also when tasks are selected according to representative design.
UniBasel Contributors:Nilsson, Hakan
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:American Psychological Association
ISSN:0096-3445
Note:Publication type according to Uni Basel Research Database: Journal article
Last Modified:22 Mar 2012 14:24
Deposited On:22 Mar 2012 13:43

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