Literature DB >> 24583622

Association between individual differences in non-symbolic number acuity and math performance: a meta-analysis.

Qixuan Chen1, Jingguang Li2.   

Abstract

Many recent studies have examined the association between number acuity, which is the ability to rapidly and non-symbolically estimate the quantity of items appearing in a scene, and symbolic math performance. However, various contradictory results have been reported. To comprehensively evaluate the association between number acuity and symbolic math performance, we conduct a meta-analysis to synthesize the results observed in previous studies. First, a meta-analysis of cross-sectional studies (36 samples, N = 4705) revealed a significant positive correlation between these skills (r = 0.20, 95% CI = [0.14, 0.26]); the association remained after considering other potential moderators (e.g., whether general cognitive abilities were controlled). Moreover, a meta-analysis of longitudinal studies revealed 1) that number acuity may prospectively predict later math performance (r = 0.24, 95% CI = [0.11, 0.37]; 6 samples) and 2) that number acuity is retrospectively correlated to early math performance as well (r = 0.17, 95% CI = [0.07, 0.26]; 5 samples). In summary, these pieces of evidence demonstrate a moderate but statistically significant association between number acuity and math performance. Based on the estimated effect sizes, power analyses were conducted, which suggested that many previous studies were underpowered due to small sample sizes. This may account for the disparity between findings in the literature, at least in part. Finally, the theoretical and practical implications of our meta-analytic findings are presented, and future research questions are discussed.
Copyright © 2014 Elsevier B.V. All rights reserved.

Keywords:  Individual differences; Math performance; Meta-analysis; Number acuity

Mesh:

Year:  2014        PMID: 24583622     DOI: 10.1016/j.actpsy.2014.01.016

Source DB:  PubMed          Journal:  Acta Psychol (Amst)        ISSN: 0001-6918


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