Claims

Meta-analytic evidence attributes average COVID learning losses of roughly -0.09 to -0.18 SD, larger in mathematics than reading

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2024 · 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.

q2 i? The review reports, citing Betthäuser et al. (2023), that average learning loss across 42 studies in 15 countries was more pronounced in mathematics (-0.18 SD) than in reading (-0.09 SD). → Kraus 2024

Evidence

Kraus 2024

Kraus, E. B., Wild, J., Schilcher, A., & Hilbert, S. (2024). Exploring the Short-Term and Long-Term Effects of the COVID-19 School Closures on Reading Fluency in Southern Germany: A Longitudinal Causal Effects Analysis. https://osf.io/bu2ad/

q2 · i? · causal · r2

Narrative review section attributing this pooled estimate to Betthäuser et al. (2023); the article reports the review found losses "more pronounced in mathematics (-0.18 SD) than in reading (-0.09 SD)". The present article did not re-analyze these data.

"Betthäuser et al. (2023) showed in a review of 42 studies across 15 countries that the average learning loss was more pronounced in mathematics (-0.18 SD) than in reading (-0.09 SD)."

Discussion

Page metadata
Field Value
type claim
id meta-analytic-covid-learning-losses-math-exceed-reading
title Meta-analytic evidence attributes average COVID learning losses of roughly -0.09 to -0.18 SD, larger in mathematics than reading
description Meta-analytic evidence attributes average COVID learning losses of roughly -0.09 to -0.18 SD, larger in mathematics than reading
status review
evidence_strength weak
newest_evidence 2024
generated by process:wiki-ingest on 2026-10-23
trust unverified — no one has confirmed this page's content
sources 1 — kraus-2024

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