Do errors on classic decision biases happen fast or slow? Numeracy and decision time predict probability matching, sample size neglect, and ratio bias
Author(s) / Creator(s)
Corser, Ryan
Voss, Raymond P.
Jasper, John D.
Abstract / Description
Higher numeracy is associated with better comprehension and use of numeric information as well as reduced susceptibility to some decision biases. We extended this line of work by showing that increased numeracy predicted probability maximizing (versus matching) as well as a better appreciation of large sample sizes. At the same time, we replicated the findings that the more numerate were less susceptible to the ratio bias and base rate neglect phenomena. Decision time predicted accuracy for the ratio bias, probability matching, and sample size scenarios, but not the base rate scenarios. Interestingly, this relationship between decision time and accuracy was positive for the ratio bias problems, but negative for the probability matching and sample size scenarios. Implications for research on cognitive ability and decision biases are discussed.
Keyword(s)
numeracy decision bias probability matching ratio bias base rates sample size neglectPersistent Identifier
Date of first publication
2024-11-04
Journal title
Journal of Numerical Cognition
Volume
10
Article number
Article e12473
Publisher
PsychOpen GOLD
Publication status
publishedVersion
Review status
peerReviewed
Is version of
Citation
Corser, R., Voss, R. P., & Jasper, J. D. (2024). Do errors on classic decision biases happen fast or slow? Numeracy and decision time predict probability matching, sample size neglect, and ratio bias. Journal of Numerical Cognition, 10, Article e12473. https://doi.org/10.5964/jnc.12473
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jnc.v10.12473.pdfAdobe PDF - 385.5KBMD5 : 5205d17a995ca2eb198759362739715a
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Author(s) / Creator(s)Corser, Ryan
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Author(s) / Creator(s)Voss, Raymond P.
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Author(s) / Creator(s)Jasper, John D.
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PsychArchives acquisition timestamp2024-12-30T10:13:08Z
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Made available on2024-12-30T10:13:08Z
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Date of first publication2024-11-04
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Abstract / DescriptionHigher numeracy is associated with better comprehension and use of numeric information as well as reduced susceptibility to some decision biases. We extended this line of work by showing that increased numeracy predicted probability maximizing (versus matching) as well as a better appreciation of large sample sizes. At the same time, we replicated the findings that the more numerate were less susceptible to the ratio bias and base rate neglect phenomena. Decision time predicted accuracy for the ratio bias, probability matching, and sample size scenarios, but not the base rate scenarios. Interestingly, this relationship between decision time and accuracy was positive for the ratio bias problems, but negative for the probability matching and sample size scenarios. Implications for research on cognitive ability and decision biases are discussed.en_US
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Publication statuspublishedVersion
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Review statuspeerReviewed
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CitationCorser, R., Voss, R. P., & Jasper, J. D. (2024). Do errors on classic decision biases happen fast or slow? Numeracy and decision time predict probability matching, sample size neglect, and ratio bias. Journal of Numerical Cognition, 10, Article e12473. https://doi.org/10.5964/jnc.12473
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ISSN2363-8761
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/11313
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.15893
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Language of contenteng
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PublisherPsychOpen GOLD
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Is version ofhttps://doi.org/10.5964/jnc.12473
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Is related tohttps://doi.org/10.23668/psycharchives.15501
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Is related tohttps://doi.org/10.17632/5z68zdgzk5.1
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Keyword(s)numeracyen_US
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Keyword(s)decision biasen_US
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Keyword(s)probability matchingen_US
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Keyword(s)ratio biasen_US
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Keyword(s)base ratesen_US
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Keyword(s)sample size neglecten_US
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Dewey Decimal Classification number(s)150
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TitleDo errors on classic decision biases happen fast or slow? Numeracy and decision time predict probability matching, sample size neglect, and ratio biasen_US
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DRO typearticle
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Article numberArticle e12473
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Journal titleJournal of Numerical Cognition
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Volume10
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Visible tag(s)Version of Record