Cited by 235Diverse Music Education InsightsCognitive Abilities and TestingNeuroscience and Music Perception

The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index; 31 of the 55 sources its claims cite were checked for support.

Cognitive and academic benefits of music training with children: A multilevel meta-analysis

Open access
Sala, Giovanni, Gobet, Fernand·2020·Memory & Cognition

Abstract

Music training has repeatedly been claimed to positively impact children’s cognitive skills and academic achievement (literacy and mathematics). This claim relies on the assumption that engaging in intellectually demanding activities fosters particular domain-general cognitive skills, or even general intelligence. The present meta-analytic review ( N = 6,984, k = 254, m = 54) shows that this belief is incorrect. Once the quality of study design is controlled for, the overall effect of music training programs is null ( $$ \overline{g} $$ g ¯ ≈ 0) and highly consistent across studies ( τ 2 ≈ 0). Results of Bayesian analyses employing distributional assumptions (informative priors) derived from previous research in cognitive training corroborate these conclusions. Small statistically significant overall effects are obtained only in those studies implementing no random allocation of participants and employing non-active controls ( $$ \overline{g} $$ g ¯ ≈ 0.200, p < .001). Interestingly, music training is ineffective regardless of the type of outcome measure (e.g., verbal, non-verbal, speed-related, etc.), participants’ age, and duration of training. Furthermore, we note that, beyond meta-analysis of experimental studies, a considerable amount of cross-sectional evidence indicates that engagement in music has no impact on people’s non-music cognitive skills or academic achievement. We conclude that researchers’ optimism about the benefits of music training is empirically unjustified and stems from misinterpretation of the empirical data and, possibly, confirmation bias.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This multilevel meta-analysis of 54 experimental studies (6,984 children, 254 effect sizes) finds that music training does not produce reliable domain-general cognitive or academic benefits once study design quality is controlled. Effects are near-zero in randomized studies and those using active controls, while small positive effects appear only in weaker designs.

Key findings

  • The overall unadjusted effect was small: \(\bar{g} = 0.184\), \(SE = 0.041\), 95% CI [0.101, 0.268], with moderate heterogeneity (\(\tau^2 = 0.041\), \(I^2 = 43.16\%\)).
  • Effects were near-zero in studies with active controls: \(\bar{g} = 0.056\), \(SE = 0.058\), \(p = .350\); sensitivity analysis gave \(\bar{g} = -0.021\), \(SE = 0.032\), \(\tau^2 = 0\), \(I^2 = 0\%\), with Bayes factors favoring the null (\(BF_g = 0.063\), \(BF_\tau = 0.006\)).
  • Small positive effects remained in weaker designs: non-active controls \(\bar{g} = 0.228\), \(SE = 0.045\); non-randomized studies \(\bar{g} = 0.246\), \(SE = 0.049\), versus randomized studies \(\bar{g} = 0.064\), \(SE = 0.065\), \(p = .381\).
  • No significant moderation was found for age, duration of training, or outcome type (memory, verbal, non-verbal, speed; all \(ps \ge .624\) for broad groups), and no difference between cognitive and academic outcomes (\(p = .981\)).

Methods

  • Systematic meta-analysis of experimental music-training studies in children aged 3–16, searching ERIC, PsycINFO, and ProQuest Dissertation & Theses through 1 December 2019; 54 studies from 1986–2019 met inclusion criteria, yielding 254 effect sizes and 6,984 participants.
  • Effect sizes were Hedges’s \(g\) for non-music cognitive or academic outcomes; main models used robust variance estimation with correlational weights, plus meta-regression on six moderators (baseline difference, randomization, control type, age, outcome measure, training duration).
  • Sensitivity analyses excluded three studies with large baseline IQ differences and influential cases; publication bias was assessed with trim-and-fill and selection models; Bayesian analyses used informative priors derived from prior cognitive-training research.

Limitations

  • The paper does not explicitly list limitations of its own meta-analysis; it notes that prior meta-analyses lacked multilevel modeling, had miscalculated effect sizes, left unexplained heterogeneity, and lacked thorough sensitivity analyses.
  • Stated data constraints: pre-post correlations and test-retest reliabilities were rarely reported, so the authors imposed \(r_{xx} = r = .600\); some studies did not report mean age, which was imputed from median or school grade.
  • Evident from the text: small publication bias remained in non-active/non-randomized models (adjusted estimates roughly 0.119–0.228 and 0.126–0.211), three studies with ~1 SD baseline IQ differences were excluded only in sensitivity analyses, and the active-control sensitivity model had \(df = 4.2\), indicating limited precision.

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Integrity signals

Registry

Crossref · 10.3758/s13421-020-01060-2

Cites

81 of 81 references verified0 citation errors · 0 not checkable

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Fig. 1 Flow diagram of the search strategy
Fig. 1 Flow diagram of the search strategyCC BY · PubMed Central

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Claims the paper makes

46 Own result · 30 Own interpretation · 15 No full text of the sources · 13 Partly supported · 8 Supported · 8 No basis given · 3 Own method · 2 Supported so far · 2 Not supported · 1 Mixed support · 1 Sources not found · accuracy not yet measured

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  • It may state two separate claims as one. 40
  • Probably not a substantial claim. 14
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54 of 54
  • The authors state this as an assumption.

    Engaging in intellectually demanding activities fosters particular domain-general cognitive skills, or even general intelligence.

    “This claim relies on the assumption that engaging in intellectually demanding activities fosters particular domain-general cognitive skills, or even general intelligence.”
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Citations

Cites

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Research works printed but not linked: 1

  1. Jaušovec, N., & Pahor, A. (2017). Boost your IQ with music. Retrieved from http://scitechconnect.elsevier.com/boost-your-iq-with-music/

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Metadata

Authors
Sala, G., & Gobet, F.
Affiliations
  • Fujita Health University (JP)
  • London School of Economics and Political Science (GB)
Corresponding author
Gobet, Fernand
Venue
Memory & Cognition
Published
2020-07-29
Volume
48
Issue
8
Pages
1429-1441
ISSN
  • 0090-502X (ISSN-L)
  • 1532-5946
OpenAlex
W3004591569
Cited by
235
References
78
Citations by year
2026: 37 · 2025: 34 · 2024: 30 · 2023: 30 · 2022: 64 · 2021: 37 · 2020: 3
FWCI
369.69
Type
journal article
Language
en
Open access
Locations
  • Memory & Cognition (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • London School of Economics and Political Science Research Online (London School of Economics and Political Science) (submittedVersion, cc-by)
  • London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (submittedVersion, cc-by)
  • OSF Preprints (OSF Preprints) (submittedVersion)
Funders
London School of Economics and Political Science
Topics
  • Social Sciences › Arts and Humanities › Music › Diverse Music Education Insights
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
Keywords
musical training, children, cognitive skills, academic performance, literacy, mathematics, study design quality, confirmation bias
MeSH terms
Bayes Theorem, Child, Cognition, Cross-Sectional Studies, Humans, Intelligence, Music

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