The relationship of divergent thinking with broad retrieval ability and processing speed: A meta-analysis
Kirill G. Miroshnik,
Boris Forthmann,
Maciej Karwowski and
Mathias Benedek
Intelligence, 2023, vol. 98, issue C
Abstract:
The present study aimed to integrate evidence on the relationship among broad retrieval ability (Gr), processing speed (Gs), and divergent thinking (DT) with a three-level meta-analytic approach. The analysis was conducted on 560 effect sizes obtained from 47 studies with an overall sample of 10,391 participants. Results indicated moderate mean correlations for both the Gr–DT (r = 0.47, 95% CI: [0.38, 0.54]) and the Gs–DT relationship (r = 0.31, 95% CI: [0.20, 0.41]). Notably, the correlation between DT and Gr was significantly higher than between DT and Gs, and the former remained significant even after controlling for the Gr–Gs correlation (r = 0.35, 95% CI: [0.26, 0.44]). Moderation analyses revealed that the Gr–DT link was moderated by the modality of DT tests and type of DT indicator, whereas the Gs–DT link was moderated by the modality of DT tests and type of DT instruction. Overall, these findings support the claim on the essential role of broad retrieval ability and processing speed in creative idea production.
Keywords: Divergent thinking; Intelligence; Broad retrieval ability; Processing speed; Meta-analysis (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/S016028962300020X
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:98:y:2023:i:c:s016028962300020x
DOI: 10.1016/j.intell.2023.101739
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 ().