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Background beliefs in Bayesian inference

Evans, JST; Handley, SJ; Over, DE; Perham, N

Authors

JST Evans

SJ Handley

David Over david.over@durham.ac.uk
Emeritus Professor

N Perham



Abstract

We report five experiments in which the role of background beliefs in social judgments of posterior probability was investigated. From a Bayesian perspective, people should combine prior probabilities (or base rates) and diagnostic evidence with equal weighting, although previous research shows that base rates are often underweighted. These experiments were designed so that either piece of information was supplied either by personal beliefs or by presented statistics, and regression analyses were performed on individual participants to assess the relative influence of information. We found that both prior probabilities and diagnostic information significantly influenced judgments, whether supplied by beliefs or by statistical information, but that belief-based information tended to dominate the judgments made.

Citation

Evans, J., Handley, S., Over, D., & Perham, N. (2002). Background beliefs in Bayesian inference. Memory and Cognition, 30(2), 179-190

Journal Article Type Article
Publication Date 2002-03
Journal Memory and Cognition
Print ISSN 0090-502X
Electronic ISSN 1532-5946
Publisher Psychonomic Society
Volume 30
Issue 2
Pages 179-190
Keywords BASE-RATE INFORMATION; RATE FALLACY; PROBABILITY; FREQUENCY; JUDGMENT;UNCERTAINTY; STEREOTYPES; FORMATS
Public URL https://durham-repository.worktribe.com/output/1574391