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Autor/inn/enNilsson, Hakan; Winman, Anders; Juslin, Peter; Hansson, Goran
TitelLinda Is Not a Bearded Lady: Configural Weighting and Adding as the Cause of Extension Errors
QuelleIn: Journal of Experimental Psychology: General, 138 (2009) 4, S.517-534 (18 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0096-3445
DOI10.1037/a0017351
SchlagwörterExperimental Psychology; Prediction; Probability; Bias; Computation; Hypothesis Testing; Error Patterns; Theories; Equations (Mathematics); Undergraduate Students; Stimuli; Foreign Countries; Sweden
AbstractThis 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. (Contains 5 figures, 5 footnotes and 1 table.) (As Provided).
AnmerkungenAmerican Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002-4242. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org/publications
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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