Cited by 118Diverse Music Education InsightsNeuroscience and Music PerceptionMusic Therapy and Health

The DOI matches its Crossref record; 127 of the 127 references it cites were found in a registry or an index; 20 of the 45 sources its claims cite were checked for support.

Please don't stop the music: A meta-analysis of the cognitive and academic benefits of instrumental musical training in childhood and adolescence

Open access

Abstract

An extensive literature has investigated the impact of musical training on cognitive skills and academic achievement in children and adolescents. However, most of the studies have relied on cross-sectional designs, which makes it impossible to elucidate whether the observed differences are a consequence of the engagement in musical activities. Previous meta-analyses with longitudinal studies have also found inconsistent results, possibly due to their reliance on vague definitions of musical training. In addition, more evidence has appeared in recent years. The current meta-analysis investigates the impact of early programs that involve learning to play musical instruments on cognitive skills and academic achievement, as previous meta-analyses have not focused on this form of musical training. Following a systematic search, 34 independent samples of children and adolescents were included, with a total of 176 effect sizes and 5998 participants. All the studies had pre-post designs and, at least, one control group. Overall, we found a small but significant benefit (g‾Δ = 0.26) with short-term programs, regardless of whether they were randomized or not. In addition, a small advantage at baseline was observed in studies with self-selection (g‾pre = 0.28), indicating that participants who had the opportunity to select the activity consistently showed a slightly superior performance prior to the beginning of the intervention. Our findings support a nature and nurture approach to the relationship between instrumental training and cognitive skills. Nevertheless, evidence from well-conducted studies is still scarce and more studies are necessary to reach firmer conclusions.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This meta-analysis of 34 independent samples (5,998 participants) found a small but significant benefit of instrumental musical training on cognitive and academic outcomes in children and adolescents (gΔ = 0.26). It also found a baseline advantage in self-selection studies (gpre = 0.29), supporting a nature-and-nurture interpretation, though the authors note that reliable evidence remains scarce.

Key findings

  • Across randomized and non-randomized pre-post studies, instrumental training showed a positive overall effect: gΔ = 0.26, 95% CI [0.12, 0.39], p < .001; randomized studies alone showed gΔ = 0.26, p = .013, and non-randomized studies gΔ = 0.25, p = .015.
  • Self-selection studies showed a significant baseline advantage for music groups before training: gpre = 0.29, 95% CI [0.12, 0.47], p = .003; randomized studies showed no baseline difference (gpre = 0.00, p = .957) and non-randomized studies showed none (gpre = 0.03, p = .510).
  • Most moderators were not significant, but in randomized studies the best model included age, baseline difference, and low SES: effects were smaller in older participants and those with higher baseline performance, and larger in low-SES samples.
  • Outcome-specific effects varied: executive functions gΔ = 0.41 [0.12, 0.70], short-term memory gΔ = 0.28 [0.15, 0.41], literacy gΔ = 0.20 [0.06, 0.34], while mathematics was not significant (gΔ = 0.23 [−0.41, 0.87]). Publication-bias tests showed little evidence of bias; an η ≈ 9 was needed to reduce the estimate to gΔ = 0.10.

Methods

  • Systematic search of PubMed, ProQuest, Scopus, Web of Science, and ProQuest Dissertation & Theses in February 2021 with no time restriction; 8,560 results yielded 32 studies, 34 independent samples, 179 effect sizes, and 5,998 participants. Inclusion required instrumental training, pre-post measures, at least one control group, no prior formal musical training, ages 3–16, and non-musical cognitive/academic outcomes.
  • Main effect size was Hedges’ gΔ (Morris, 2008), the standardized pre-post change difference between groups; baseline differences used gpre. Analyses used robust variance estimation (RVE) with correlated dependence and small-sample corrections, plus heterogeneity indexes (τ², I²), moderator analyses, and multiple publication-bias methods (trim-and-fill, selection model, RVE PET/PEESE, Mathur & VanderWeele sensitivity analysis).
  • Samples included 8 randomized, 12 non-randomized, and 14 self-selection studies; mean age was 8 years (SD = 2.2, range 3.9–14.7), mean program duration was 17 months (SD = 16.3, range 0.75–60), with 1,664 children/adolescents in music training and 4,334 controls (3,670 passive, 664 active).

Limitations

  • Stated in the paper: evidence from well-conducted studies is still scarce and more studies are necessary for firmer conclusions; heterogeneity remained moderate in the best randomized model (I² = 59.56%), and outcome-specific analyses were underpowered because only two of nine cognitive/academic domains were assessed in at least ten studies.
  • Stated in the paper: participants’ engagement and between-lesson practice were rarely reported, making it hard to detect related biases; the mechanisms for transfer remain unknown.
  • Evident from the text: overall heterogeneity was high (I² = 83.89% before outlier removal; 70.35% after), many included studies were non-randomized or self-selection, and interventions were often short with small samples, limiting causal certainty and generalizability.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.edurev.2022.100436

Cites

127 of 127 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

20 of 45 cited sources checked · 12 supported · 0 flagged · accuracy not yet measured

Show all 58 claims

  • It may state two separate claims as one. 41
  • Probably not a substantial claim. 18
56 of 56
  • The authors state this as an assumption.

    The variance of the pretest score is equal to the variance of the posttest score.

    “For instance, the variance of the pretest score is assumed to be equal to the variance of the posttest score.”
  • The authors state this as an assumption.

    Both groups are equivalent in baseline performance.

    “Similarly, both groups are assumed to be equivalent in baseline performance.”
  • The paper relies on this without support.

    The computerized psychological tasks and standardized tests used in the meta-analysis have little in common with playing a musical instrument at a concert or rehearsal.

    “Computerized psychological tasks (e.g., go/no-go), and standardized tests of intelligence or academic achievement have little in common with playing a musical instrument at a concert or rehearsal.”
  • The paper relies on this without support.

    Music-making requires the coordination of several skills and sensory modalities and involves a wide and constantly augmented variety of stimuli, social situations, and types of performance.

    “Unlike many other cognitive activities involving highly specific contexts and tasks, music-making requires the coordination of several skills and sensory modalities and involves a wide and constantly augmented variety of stimuli, social situations, and types of performance.”
  • The paper relies on this without support.

    Attention and executive functions are engaged in many daily activities as well as in many of the tasks used in the studies included in the present meta-analysis for measuring academic achievement and cognitive functions.

    “Attention and executive functions are engaged in many daily activities as well as in many of the tasks used in the studies included in the present meta-analysis for measuring academic achievement and cognitive functions in the included studies.”
  • The paper relies on this without support.

    No matter what level of technical and artistic mastery a musician achieves, there is always room for improvement.

    “No matter what level of technical and artistic mastery a musician achieves, there is always room for improvement.”
  • The paper relies on this without support.

    There are always new pieces, interpretations, styles, and genres of music to learn.

    “Furthermore, there are always new pieces, interpretations, styles, and genres of music to learn.”
  • The paper relies on this without support.

    There are always different musicians and ensembles to play with, adjust to, and learn from.

    “And different musicians and ensembles to play with, adjust to, and learn from.”
8 of 8

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Consistentχ²(1) = 0.27reported p = .606 · recomputed p = .603

    “χ 2 (1) = 0.27, p = .606”

  • Consistentχ²(1) = 1.08reported p = .298 · recomputed p = .299

    “χ 2 (1) = 1.08, p = .298”

2 of 2

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Effect-size count differs between the abstract and main text

    Minor

    The abstract reports 176 effect sizes, while the literature-search and results sections report 179 for the included studies.

  • Sensitivity analysis cites the wrong equations for pre-posttest correlation

    Minor

    The sensitivity-analysis section says correlations were computed with Equations (6) and (7), but those equations define the baseline effect size and its variance. The correlation and its variance are given in Equations (4) and (5).

2 of 2

Citations

Cites

Flagged first, then by citations

Show all 124 references

Research works printed but not linked: 1

  1. Said, 2020, Effect of music education on the promotion of school performance in children, CoDAS, 32

Cited by

Sorted by citations

Items 101–117 of 117

Metadata

Authors
Román-Caballero, R., Vadillo, M. A., Trainor, L. J., & Lupiáñez, J.
Affiliations
  • Universidad de Granada (ES)
  • Universidad Autónoma de Madrid (ES)
  • Baycrest Hospital (CA)
Corresponding author
Román-Caballero, Rafael
Venue
Educational Research Review
Publisher
Elsevier BV
Published
2022-02
Volume
35
Pages
100436
ISSN
1747-938X (ISSN-L)
OpenAlex
W4206934517
Cited by
118
References
124
Citations by year
2026: 36 · 2025: 32 · 2024: 28 · 2023: 19 · 2022: 3
FWCI
23.71
Type
journal article
Language
en
Open access
Locations
  • Educational Research Review (publishedVersion, cc-by)
  • Institutional Repository of the University of Granada (University of Granada) (submittedVersion, cc-by-nd)
  • OSF Preprints (OSF Preprints) (submittedVersion)
Funders
  • Comunidad de Madrid (2016-T1/SOC-1395)
  • Ministerio de Educación, Cultura y Deporte
  • Universidad de Granada
  • Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España (PSI2017-84926-P, PSI2017-85159-P)
  • Gobierno de Espana Ministerio de Educacion Cultura y Deporte (FPU17/02864)
Topics
  • Social Sciences › Arts and Humanities › Music › Diverse Music Education Insights
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
  • Social Sciences › Psychology › Social Psychology › Music Therapy and Health
Keywords
music education, cognitive skills, academic performance, children, adolescents, nature versus nurture, self-selection

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-11-03, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-11-03 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review