Claims

No publication bias is detected in the collected Covid-19 achievement estimates

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q3
Currency · newest study 2023 · 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? The Doi plot shows no asymmetry (LFK index = 0) and Egger's test accepts the null of no publication bias (p = 0.380). → Di Pietro Giorgio 2023

Evidence

Di Pietro Giorgio 2023

Di Pietro Giorgio. (2023). The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis. Educational Research Review. https://doi.org/10.1016/j.edurev.2023.100530

q3 · i? · quant-synthesis · r3

Publication-bias assessment using the Doi plot and LFK index, supplemented by Egger's test where the null of no publication bias is accepted (p-value = 0.380); consistent with prior meta-analyses.

"the Doi plot shows no asymmetry (LFK index = 0), indicating that no publication bias is detected."

Discussion

Page metadata
Field Value
type claim
id covid-meta-analysis-no-publication-bias
title No publication bias is detected in the collected Covid-19 achievement estimates
description No publication bias is detected in the collected Covid-19 achievement estimates
status review
evidence_strength moderate
newest_evidence 2023
generated by process:wiki-ingest on 2026-10-21
trust unverified — no one has confirmed this page's content
sources 1 — di-pietro-giorgio-2023

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