272
Views
0
CrossRef citations to date
0
Altmetric
Articles

No easy fix for belief bias during syllogistic reasoning?

ORCID Icon, ORCID Icon & ORCID Icon
Pages 401-421 | Received 06 Oct 2022, Accepted 13 Feb 2023, Published online: 27 Feb 2023
 

ABSTRACT

Although erroneous intuitions often lead human thinking astray, recent studies suggest that single-shot interventions in which the underlying problem logic is clarified can easily remediate this bias. Because previous work typically focused on numerical problems, we tested here the generalizability to the infamous non-numerical belief bias during syllogistic reasoning. Unfortunately, results of 3 studies show that the effect is less clear. Although we succeeded in boosting performance for a minority of reasoners, reasoners who remained biased also tended to show a worse performance after training. We conclude that more work is needed to optimise the single-shot “easy fix” intervention approach to remediate belief bias during syllogistic reasoning.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Raw data can be downloaded from our OSF page (https://osf.io/rzm92/).

Notes

1 Since it has been shown that the initial response latency is not a reliable measure for conflict detection (Bago & De Neys, Citation2017), we will only present the conflict detection associated with the confidence rates.

Additional information

Funding

This study was supported by the Idex Université Paris Cité ANR-18-IDEX-0001, France.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 298.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.