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g versus c: comparing individual and collective intelligence across two meta-analyses
Collective intelligence (CI) is said to manifest in a group’s domain general mental ability. It can be measured across a battery of group IQ tests and statistically reduced to a latent factor called the “c-factor.” Advocates have found the c-factor predicts group performance better than individual I...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019454/ https://www.ncbi.nlm.nih.gov/pubmed/33813669 http://dx.doi.org/10.1186/s41235-021-00285-2 |
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author | Rowe, Luke I. Hattie, John Hester, Robert |
author_facet | Rowe, Luke I. Hattie, John Hester, Robert |
author_sort | Rowe, Luke I. |
collection | PubMed |
description | Collective intelligence (CI) is said to manifest in a group’s domain general mental ability. It can be measured across a battery of group IQ tests and statistically reduced to a latent factor called the “c-factor.” Advocates have found the c-factor predicts group performance better than individual IQ. We test this claim by meta-analyzing correlations between the c-factor and nine group performance criterion tasks generated by eight independent samples (N = 857 groups). Results indicated a moderate correlation, r, of .26 (95% CI .10, .40). All but four studies comprising five independent samples (N = 366 groups) failed to control for the intelligence of individual members using individual IQ scores or their statistically reduced equivalent (i.e., the g-factor). A meta-analysis of this subset of studies found the average IQ of the groups’ members had little to no correlation with group performance (r = .06, 95% CI −.08, .20). Around 80% of studies did not have enough statistical power to reliably detect correlations between the primary predictor variables and the criterion tasks. Though some of our findings are consistent with claims that a general factor of group performance may exist and relate positively to group performance, limitations suggest alternative explanations cannot be dismissed. We caution against prematurely embracing notions of the c-factor unless it can be independently and robustly replicated and demonstrated to be incrementally valid beyond the g-factor in group performance contexts. |
format | Online Article Text |
id | pubmed-8019454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-80194542021-04-16 g versus c: comparing individual and collective intelligence across two meta-analyses Rowe, Luke I. Hattie, John Hester, Robert Cogn Res Princ Implic Review Article Collective intelligence (CI) is said to manifest in a group’s domain general mental ability. It can be measured across a battery of group IQ tests and statistically reduced to a latent factor called the “c-factor.” Advocates have found the c-factor predicts group performance better than individual IQ. We test this claim by meta-analyzing correlations between the c-factor and nine group performance criterion tasks generated by eight independent samples (N = 857 groups). Results indicated a moderate correlation, r, of .26 (95% CI .10, .40). All but four studies comprising five independent samples (N = 366 groups) failed to control for the intelligence of individual members using individual IQ scores or their statistically reduced equivalent (i.e., the g-factor). A meta-analysis of this subset of studies found the average IQ of the groups’ members had little to no correlation with group performance (r = .06, 95% CI −.08, .20). Around 80% of studies did not have enough statistical power to reliably detect correlations between the primary predictor variables and the criterion tasks. Though some of our findings are consistent with claims that a general factor of group performance may exist and relate positively to group performance, limitations suggest alternative explanations cannot be dismissed. We caution against prematurely embracing notions of the c-factor unless it can be independently and robustly replicated and demonstrated to be incrementally valid beyond the g-factor in group performance contexts. Springer International Publishing 2021-04-03 /pmc/articles/PMC8019454/ /pubmed/33813669 http://dx.doi.org/10.1186/s41235-021-00285-2 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Article Rowe, Luke I. Hattie, John Hester, Robert g versus c: comparing individual and collective intelligence across two meta-analyses |
title | g versus c: comparing individual and collective intelligence across two meta-analyses |
title_full | g versus c: comparing individual and collective intelligence across two meta-analyses |
title_fullStr | g versus c: comparing individual and collective intelligence across two meta-analyses |
title_full_unstemmed | g versus c: comparing individual and collective intelligence across two meta-analyses |
title_short | g versus c: comparing individual and collective intelligence across two meta-analyses |
title_sort | g versus c: comparing individual and collective intelligence across two meta-analyses |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019454/ https://www.ncbi.nlm.nih.gov/pubmed/33813669 http://dx.doi.org/10.1186/s41235-021-00285-2 |
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