Curtis S. Dunkel , Joseph Nedelec , Dimitri van der Linden
{"title":"Reevaluating the Dunning-Kruger effect: A response to and replication of Gignac and Zajenkowski (2020)","authors":"Curtis S. Dunkel , Joseph Nedelec , Dimitri van der Linden","doi":"10.1016/j.intell.2022.101717","DOIUrl":null,"url":null,"abstract":"<div><p>As applied to general intelligence, the Dunning-Kruger effect (DK) is the phenomenon in which individuals at the lower end of the intellectual ability distribution are more likely to overestimate their intelligence. In a recent article in <em>Intelligence</em> it was suggested that the DK is primarily a statistical artifact and, indeed, the application of more appropriate analyses led to a failure to replicate a significant effect. When some of the limitations (namely sample representativeness) were addressed and the more appropriate statistical methods were used in the current study, our analyses illustrated a statistically significant DK effect. However, the magnitude of the effect was minimal; bringing its meaningfulness into question. In conclusion, it is recommended that the conditions that result in a significant DK be further explored.</p></div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160289622000988","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 3
Abstract
As applied to general intelligence, the Dunning-Kruger effect (DK) is the phenomenon in which individuals at the lower end of the intellectual ability distribution are more likely to overestimate their intelligence. In a recent article in Intelligence it was suggested that the DK is primarily a statistical artifact and, indeed, the application of more appropriate analyses led to a failure to replicate a significant effect. When some of the limitations (namely sample representativeness) were addressed and the more appropriate statistical methods were used in the current study, our analyses illustrated a statistically significant DK effect. However, the magnitude of the effect was minimal; bringing its meaningfulness into question. In conclusion, it is recommended that the conditions that result in a significant DK be further explored.