Confidence measurement in the light of signal detection theory.
Identifieur interne : 003730 ( PubMed/Checkpoint ); précédent : 003729; suivant : 003731Confidence measurement in the light of signal detection theory.
Auteurs : Sébastien Massoni [Australie] ; Thibault Gajdos ; Jean-Christophe Vergnaud [France]Source :
- Frontiers in psychology [ 1664-1078 ] ; 2014.
Abstract
We compare three alternative methods for eliciting retrospective confidence in the context of a simple perceptual task: the Simple Confidence Rating (a direct report on a numerical scale), the Quadratic Scoring Rule (a post-wagering procedure), and the Matching Probability (MP; a generalization of the no-loss gambling method). We systematically compare the results obtained with these three rules to the theoretical confidence levels that can be inferred from performance in the perceptual task using Signal Detection Theory (SDT). We find that the MP provides better results in that respect. We conclude that MP is particularly well suited for studies of confidence that use SDT as a theoretical framework.
DOI: 10.3389/fpsyg.2014.01455
PubMed: 25566135
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Centre National de la Recherche Scientifique France.</nlm:affiliation><wicri:noCountry code="subField">France ; Centre National de la Recherche Scientifique France</wicri:noCountry></affiliation></author><author><name sortKey="Vergnaud, Jean Christophe" sort="Vergnaud, Jean Christophe" uniqKey="Vergnaud J" first="Jean-Christophe" last="Vergnaud">Jean-Christophe Vergnaud</name><affiliation wicri:level="1"><nlm:affiliation>Centre National de la Recherche Scientifique France ; Centre d'Economie de la Sorbonne, University of Paris 1 Paris, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Centre National de la Recherche Scientifique France ; Centre d'Economie de la Sorbonne, University of Paris 1 Paris</wicri:regionArea><wicri:noRegion>University of Paris 1 Paris</wicri:noRegion><wicri:noRegion>University of Paris 1 Paris</wicri:noRegion></affiliation></author></analytic><series><title level="j">Frontiers in psychology</title><idno type="ISSN">1664-1078</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We compare three alternative methods for eliciting retrospective confidence in the context of a simple perceptual task: the Simple Confidence Rating (a direct report on a numerical scale), the Quadratic Scoring Rule (a post-wagering procedure), and the Matching Probability (MP; a generalization of the no-loss gambling method). We systematically compare the results obtained with these three rules to the theoretical confidence levels that can be inferred from performance in the perceptual task using Signal Detection Theory (SDT). We find that the MP provides better results in that respect. We conclude that MP is particularly well suited for studies of confidence that use SDT as a theoretical framework.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">25566135</PMID><DateCreated><Year>2015</Year><Month>01</Month><Day>08</Day></DateCreated><DateCompleted><Year>2015</Year><Month>01</Month><Day>08</Day></DateCompleted><DateRevised><Year>2017</Year><Month>02</Month><Day>20</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1664-1078</ISSN><JournalIssue CitedMedium="Print"><Volume>5</Volume><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>Frontiers in psychology</Title><ISOAbbreviation>Front Psychol</ISOAbbreviation></Journal><ArticleTitle>Confidence measurement in the light of signal detection theory.</ArticleTitle><Pagination><MedlinePgn>1455</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3389/fpsyg.2014.01455</ELocationID><Abstract><AbstractText>We compare three alternative methods for eliciting retrospective confidence in the context of a simple perceptual task: the Simple Confidence Rating (a direct report on a numerical scale), the Quadratic Scoring Rule (a post-wagering procedure), and the Matching Probability (MP; a generalization of the no-loss gambling method). We systematically compare the results obtained with these three rules to the theoretical confidence levels that can be inferred from performance in the perceptual task using Signal Detection Theory (SDT). We find that the MP provides better results in that respect. We conclude that MP is particularly well suited for studies of confidence that use SDT as a theoretical framework.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Massoni</LastName><ForeName>Sébastien</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Queensland Behavioural Economics Group - School of Economics and Finance, Queensland University of Technology Brisbane, QLD, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gajdos</LastName><ForeName>Thibault</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Groupement de Recherche en Economie Quantitative d'Aix-Marseille, École des Hautes Études en Sciences Sociales, Aix Marseille University Marseille, France ; Centre National de la Recherche Scientifique France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Vergnaud</LastName><ForeName>Jean-Christophe</ForeName><Initials>JC</Initials><AffiliationInfo><Affiliation>Centre National de la Recherche Scientifique France ; Centre d'Economie de la Sorbonne, University of Paris 1 Paris, France.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>12</Month><Day>11</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Front Psychol</MedlineTA><NlmUniqueID>101550902</NlmUniqueID><ISSNLinking>1664-1078</ISSNLinking></MedlineJournalInfo><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Neural Comput. 2008 Apr;20(4):873-922</RefSource><PMID Version="1">18085991</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Philos Trans R Soc Lond B Biol Sci. 2012 May 19;367(1594):1338-49</RefSource><PMID Version="1">22492751</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Psychol Rev. 2009 Jan;116(1):59-83</RefSource><PMID Version="1">19159148</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Behav Sci. 1964 Jul;9(3):226-32</RefSource><PMID Version="1">5888778</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Conscious Cogn. 2010 Dec;19(4):1069-78</RefSource><PMID Version="1">20133167</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Psychol Methods. 2013 Dec;18(4):535-52</RefSource><PMID Version="1">24079931</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nature. 2008 Sep 11;455(7210):227-31</RefSource><PMID Version="1">18690210</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Spat Vis. 1997;10(4):433-6</RefSource><PMID Version="1">9176952</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Science. 2009 May 8;324(5928):759-64</RefSource><PMID Version="1">19423820</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Trends Cogn Sci. 2008 Jun;12(6):209-10; 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