Cited by 148Cognitive Abilities and TestingCognitive and developmental aspects of mathematical skillsDevelopmental and Educational Neuropsychology

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index; 29 of the 50 sources its claims cite were checked for support.

Working memory training in typically developing children: A multilevel meta-analysis

Open access
Sala, Giovanni, Gobet, Fernand·2020·Psychonomic Bulletin & Review

Abstract

Working memory (WM) training in typically developing (TD) children aims to enhance not only performance in memory tasks but also other domain-general cognitive skills, such as fluid intelligence. These benefits are then believed to positively affect academic achievement. Despite the numerous studies carried out, researchers still disagree over the real benefits of WM training. With this meta-analysis (m = 41, k = 393, N = 2,375), we intended to resolve the discrepancies by focusing on the potential sources of within-study and between-study true heterogeneity. Small to medium effects were observed in memory tasks (i.e., near transfer). The size of these effects was proportional to the similarity between the training task and the outcome measure. By contrast, far-transfer measures of cognitive ability (e.g., intelligence) and academic achievement (mathematics and language ability) were essentially unaffected by the training programs, especially when the studies implemented active controls (g¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{g} $$\end{document} = 0.001, SE = 0.055, p = .982, τ2 = 0.000). Crucially, all the models exhibited a null or low amount of true heterogeneity, which was wholly explained by the type of controls (nonactive vs. active) and by statistical artifacts, in contrast to the claim that this field has produced mixed results. Since the empirical evidence shows the absence of both generalized effects and true heterogeneity, we conclude that there is no reason to keep investing resources in WM training research with TD children.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This multilevel meta-analysis of 41 studies (393 effect sizes, N = 2,375) finds that working memory training in typically developing children produces near-transfer memory benefits but no reliable far-transfer effects on intelligence or academic achievement. With active controls, far-transfer effects are essentially zero, and true heterogeneity is null or low.

Key findings

  • Near-transfer effects were small to medium: overall \( \bar{g} = 0.389 \), SE = 0.056, p < .001; nearest-transfer effects were larger (\( \bar{g} = 0.468 \)) than less-near-transfer effects (\( \bar{g} = 0.261 \)).
  • Far-transfer effects were small overall (\( \bar{g} = 0.092 \), SE = 0.033, p = .015), but became null with active controls (\( \bar{g} = 0.001 \), SE = 0.055, p = .982, \( \tau^2 = 0.000 \)).
  • Far-transfer follow-up effects were null (\( \bar{g} = 0.006 \), SE = 0.022, p = .809), while near-transfer follow-up effects were \( \bar{g} = 0.239 \), SE = 0.103, p = .059.
  • True heterogeneity was null or low across models; when present, it was explained by control type, baseline differences, transfer distance, and a few influential cases, not by age or training-task type.

Methods

  • Systematic search of MEDLINE, PsycINFO, Science Direct, and ProQuest Dissertation & Theses, plus reference lists, retrieved 3,080 records; 41 studies from 2007–2019 met inclusion criteria.
  • Included typically developing children (maximum mean age = 16 years), a WM training condition, at least one control group, objective cognitive/academic tasks, pre-post design, non-self-selected participants, and sufficient data for effect sizes.
  • Used robust variance estimation with hierarchical weights to model nested effect sizes and estimate within-cluster (\( \omega^2 \)) and between-cluster (\( \tau^2 \)) true heterogeneity; moderators included baseline difference, control group, age, training-task type, outcome measure, and near-transfer type.

Limitations

  • The paper states that most primary studies examined preschool and primary school children, with only a fraction including adolescents, making findings less generalizable to typically middle/high school students (e.g., 12–16 years).
  • The paper states that follow-up models included limited numbers of studies, so no further analysis was conducted for those models.
  • Evident from the text: effect-size calculations assumed a pre-post-test correlation of \( r_{xx} = r = .700 \) because primary studies rarely reported these values, though the authors replicated analyses using correlations from .500 to .800 and observed no significant differences.

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

Integrity signals

Registry

Crossref · 10.3758/s13423-019-01681-y

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

31 Own interpretation · 29 Own result · 14 Own method · 9 Partly supported · 7 Supported · 6 No full text of the sources · 3 Sources not found · 3 No basis given · 2 Not supported · 1 Mixed support · 1 Not checked yet · accuracy not yet measured

  • It may state two separate claims as one. 32
  • Probably not a substantial claim. 14
  • The quote only partly states this claim. 5
46 of 46

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?

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.

2 of 2

Citations

Cites

Show all 58 references

Cited by

Sorted by citations

See all 148

Metadata

Authors
Sala, G., & Gobet, F.
Affiliations
  • Fujita Health University (JP)
  • London School of Economics and Political Science (GB)
Corresponding author
Sala, Giovanni
Venue
Psychonomic Bulletin & Review
Published
2020-01-14
Volume
27
Issue
3
Pages
423-434
ISSN
  • 1069-9384 (ISSN-L)
  • 1531-5320
OpenAlex
W2963815297
Cited by
148
References
58
Citations by year
2026: 25 · 2025: 22 · 2024: 34 · 2023: 20 · 2022: 22 · 2021: 18 · 2020: 7
FWCI
2.11
Type
journal article
Language
en
Open access
Locations
  • Psychonomic Bulletin & Review (publishedVersion)
  • PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
  • PubMed (publishedVersion)
  • London School of Economics and Political Science Research Online (London School of Economics and Political Science) (submittedVersion)
  • London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (submittedVersion)
Funders
Japan Society for the Promotion of Science (17F17313)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Social Sciences › Psychology › Developmental and Educational Psychology › Cognitive and developmental aspects of mathematical skills
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
Keywords
working memory training, typically developing children, near transfer, far transfer, fluid intelligence, academic performance, active control, statistical heterogeneity
MeSH terms
Academic Success, Child, Child Development, Cognition, Humans, Intelligence, Mathematics, Memory, Short-Term, Research Design, Teaching

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 2026-10-08, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-08 (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