EconPapers    
Economics at your fingertips  
 

Reevaluating the Dunning-Kruger effect: A response to and replication of Gignac and Zajenkowski (2020)

Curtis S. Dunkel, Joseph Nedelec and Dimitri van der Linden

Intelligence, 2023, vol. 96, issue C

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.

Keywords: Dunning-Kruger effect; General intelligence; Heteroscedasticity (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160289622000988
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:intell:v:96:y:2023:i:c:s0160289622000988

DOI: 10.1016/j.intell.2022.101717

Access Statistics for this article

Intelligence is currently edited by R.J. Haier

More articles in Intelligence from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:intell:v:96:y:2023:i:c:s0160289622000988