Revisiting the association between music lessons and intelligence: Training effects or music aptitude?
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A plausible alternative explanation for cognitive and academic advantages in correlational and non-randomized intervention studies is preexisting differences in children's intelligence, temperament, and environment.
“From this point of view, most of the cognitive and academic advantages observed in correlational studies and interventions without random assignment (where participants and their families chose musical activities) could be due to preexisting differences in children's intelligence, temperament, and environment.”
From Please don't stop the music: A meta-analysis of the cognitive and academic benefits of instrumental musical training in childhood and adolescence (2022) · cites this paper as Swaminathan et al., 2017
Music aptitude, rather than the amount of music training, predicts fluid intelligence in a sample of adults.
“Swaminathan, Schellenberg, and Khalil (2017) show that music aptitude, rather than the amount of music training, predicts fluid intelligence in a sample of adults.”
From Cognitive and academic benefits of music training with children: A multilevel meta-analysis (2020) · cites this paper as Swaminathan, Schellenberg, and Khalil (2017)
The correlation between intelligence and engagement in music is mediated by innate (as opposed to trained) music skills.
“This finding upholds the idea that the correlation between intelligence and engagement in music is mediated by innate (as opposed to trained) music skills.”
From Cognitive and academic benefits of music training with children: A multilevel meta-analysis (2020) · cites this paper as Swaminathan, Schellenberg, and Khalil (2017)
Cites
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383 · see citing works
Mediation in experimental and nonexperimental studies: New procedures and recommendations.
Shrout, P. E., & Bolger, N. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.4.422 · Cited by 11,335 · see citing works
The role of deliberate practice in the acquisition of expert performance
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993) · Psychological Review · doi:10.1037/0033-295x.100.3.363 · Cited by 9,564 · see citing works
How Much Can We Boost IQ and Scholastic Achievement
Jensen, A. (1969) · Harvard Educational Review · doi:10.17763/haer.39.1.l3u15956627424k7 · Cited by 2,907 · cited 1× · see citing works
“Although such “far-transfer” effects have been studied for over 100 years, it remains unclear whether such effects are actually possible (e.g., Brody, 1992; Jensen, 1969, 1998; Thorndike &Woodworth, 1901a, 1901b).”
BackgroundIs working memory training effective? A meta-analytic review
Melby-Lervåg, M., & Hulme, C. (2013) · Developmental Psychology · doi:10.1037/a0028228 · Cited by 1,782 · see citing works
Why g matters: The complexity of everyday life
Gottfredson, L. S. (1997) · Intelligence · doi:10.1016/s0160-2896(97)90014-3 · Cited by 1,408 · see citing works
Melby-Lervåg, M., Redick, T. S., & Hulme, C. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691616635612 · Cited by 910 · see citing works
Rapport, M. D., Orban, S. A., Kofler, M. J., & Friedman, L. M. (2013) · Clinical Psychology Review · doi:10.1016/j.cpr.2013.08.005 · Cited by 517 · see citing works
Cogmed working memory training: Does the evidence support the claims?
Shipstead, Z., Hicks, K. L., & Engle, R. W. (2012) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2012.06.003 · Cited by 249 · see citing works
Weicker, J., Villringer, A., & Thöne-Otto, A. (2016) · Neuropsychology · doi:10.1037/neu0000227 · Cited by 147 · cited 1× · see citing works
“Moreover, evidence that training in working memory has far-transfer effects (i.e., to reading, intelligence, arithmetic, etc.) is mixed (Melby-Lervåg, Reddick, & Hulme, 2016; Weicker et al., 2016).”
Background
Flagged first, then by citations
Cited by
Sorted by citations
Cognitive Training Does Not Enhance General Cognition
Sala, G., & Gobet, F. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.10.004 · Cited by 303 · see citing works
Cognitive and academic benefits of music training with children: A multilevel meta-analysis
Sala, G., & Gobet, F. (2020) · Memory & Cognition · doi:10.3758/s13421-020-01060-2 · Cited by 235 · see citing works
Román-Caballero, R., Vadillo, M. A., Trainor, L. J., & Lupiáñez, J. (2022) · Educational Research Review · doi:10.1016/j.edurev.2022.100436 · Cited by 118 · see citing works
- Authors
- Swaminathan, S., Schellenberg, E. G., & Khalil, S.
- Affiliations
- University of Toronto (CA)
- Corresponding author
- Schellenberg, E. Glenn
- Venue
- Intelligence
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 62
- Pages
- 119-124
- ISSN
- 0160-2896 (ISSN-L)
- OpenAlex
- W2602310945
- Cited by
- 157
- References
- 10
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 11 · 2023: 12 · 2022: 43 · 2021: 35 · 2020: 15 · 2019: 7 · 2018: 15 · 2017: 1
- FWCI
- 5.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Intelligence (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Social Sciences › Arts and Humanities › Music › Diverse Music Education Insights
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- musical training, music lessons, musical ability, nonverbal intelligence, Raven's Advanced Progressive Matrices, socioeconomic status, training effects
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.
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