Metacognitive myopia in change detection: A collective approach to overcome a persistent anomaly.


Journal

Journal of experimental psychology. Learning, memory, and cognition
ISSN: 1939-1285
Titre abrégé: J Exp Psychol Learn Mem Cogn
Pays: United States
ID NLM: 8207540

Informations de publication

Date de publication:
Apr 2020
Historique:
pubmed: 26 7 2019
medline: 11 11 2020
entrez: 26 7 2019
Statut: ppublish

Résumé

Going beyond the origins of cognitive biases, which have been the focus of continued research, the notion of metacognitive myopia refers to the failure to monitor, control, and correct for biased inferences at the metacognitive level. Judgments often follow the given information uncritically, even when it is easy to find out or explicitly explained that information samples are misleading or invalid. The present research is concerned with metacognitive myopia in judgments of change. Participants had to decide whether pairs of binomial samples were drawn from populations with decreasing, equal, or increasing proportions

Identifiants

pubmed: 31343249
pii: 2019-43001-001
doi: 10.1037/xlm0000751
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

649-668

Subventions

Organisme : Deutsche Forschungsgemeinschaft

Auteurs

Malte Schott (M)

Department of Psychology.

Yaakov Kareev (Y)

Federmann Center for the Study of Rationality and School of Education, The Hebrew University of Jerusalem.

Judith Avrahami (J)

Federmann Center for the Study of Rationality, The Hebrew University of Jerusalem.

Rakefet Ackerman (R)

Faculty of Industrial Engineering and Management, Technion-Israel Institute of Technology.

Morris Goldsmith (M)

Department of Psychology, University of Haifa.

André Mata (A)

Faculty of Psychology CICPSI, University of Lisbon.

Mário B Ferreira (MB)

Faculty of Psychology CICPSI, University of Lisbon.

Ben R Newell (BR)

School of Psychology, University of New South Wales.

Myrto Pantazi (M)

Department of Psychology, University of Cambridge.

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Classifications MeSH