Meta-Analysis of Errorless Motor Learning Effects Across Lifespan and Impairments

A systematic review and meta-analysis synthesizes evidence from 29 studies involving 1,509 participants on the effects of errorless motor learning. The analysis calculated effect sizes (Hedges’ g) for movement performance and accuracy across subgroups including children, young adults, and individuals with impairments. The work was authored by Yuen Ting Wong and published on figshare in 2026.

Use Cases

• Analyze the overall effect size (Hedges’ g) for movement performance to assess the efficacy of errorless versus errorful learning.
• Compare subgroup effect sizes for movement accuracy among children, young adults, and learners with impairments.
• Examine risk of bias assessments (ROBINS-I or RoB2) and GRADE certainty ratings across the 31 included experiments.
• Investigate heterogeneity metrics (Q-statistic and I² index) reported in the meta-analysis results.

Strengths

• Aggregates data from 29 studies and 1,509 participants, providing a substantial evidence base.
• Reports specific effect sizes (Hedges’ g) for overall and subgroup analyses, such as g=0.804 for learners with impairments.
• Includes detailed methodology with risk of bias and certainty of evidence assessments for transparency.
• Covers a lifespan perspective, analyzing outcomes for children, young adults, and individuals with impairments.

Limitations

• The evidence base is limited by moderate to high risk of bias and low GRADE certainty ratings across studies.
• The dataset is a single 740.3 KB document, containing only the review's analysis rather than raw experimental data.
• Substantial heterogeneity (I² index) was reported among the included studies, indicating variability in findings.

Provenance

Source

figshare, authored by Yuen Ting Wong.

Collection Method

Systematic literature review and meta-analysis of nine electronic databases and grey literature.

Time Range

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Freshness

Last updated March 2026.

Geography

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