Claims

Removing outliers does not meaningfully change cross-age tutoring meta-analysis results

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i? After removing extremely small and large effect sizes, overall (g = 0.33), tutor (g = 0.38), and tutee (g = 0.33) estimates were similar to original results. → Chang 2025

Evidence

Chang 2025

Chang, A., Mauer, E., Wanzek, J., Kim, S., Scammacca, N., & Swanson, E. (2025). Examining the academic effects of cross-age tutoring: A meta-analysis. Educational Psychology Review, 37, 19. https://doi.org/10.1007/s10648-025-09997-z

q3 · i? · quant-synthesis · r3

Sensitivity analysis identified outliers by confidence-interval overlap criteria and re-ran meta-regression models. For tutees, 13 effect sizes from 5 studies were extremely small and 8 from 6 studies extremely large; one tutor study had an extremely large effect size.

"These results show no meaningful differences in the mean effect sizes from the tutor and tutee analyses before and after removing outliers."

Discussion

Page metadata
Field Value
type claim
id cross-age-tutoring-sensitivity-outliers-null
title Removing outliers does not meaningfully change cross-age tutoring meta-analysis results
description Removing outliers does not meaningfully change cross-age tutoring meta-analysis results
status review
evidence_strength moderate
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-22
trust unverified — no one has confirmed this page's content
sources 1 — chang-2025

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