Claims

Publication bias is unlikely to explain the consistency of SRL intervention effect sizes

Claim · All claims
Evidence · 1 study · quant-synthesis r1 · 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? Egger's regression intercept test (intercept = 0.691) suggested publication bias is unlikely to account for the observed consistency in effect sizes. → Guntur 2024

Evidence

Guntur 2024

Guntur, M., & Purnomo, Y. W. (2024). A Meta-Analysis of Self-Regulated Learning Interventions Studies on Learning Outcomes in Online and Blended Environments. Online Learning Journal, 28(3). https://doi.org/10.24059/olj.v28i3.4025

q2 · i? · quant-synthesis · r1

Publication-bias assessment of the 15 included studies using a funnel plot and Egger's Regression Intercept test, analyzed in JASP. The authors report the funnel plot alone was inconclusive, so the Egger test was used; the resulting data "does not show bias".

"Egger's regression intercept test yielded a value of 0.691 for the intercept. These findings suggest that publication bias is unlikely to account for the observed consistency in impact size across studies."

Discussion

Page metadata
Field Value
type claim
id srl-meta-analysis-no-publication-bias
title Publication bias is unlikely to explain the consistency of SRL intervention effect sizes
description Publication bias is unlikely to explain the consistency of SRL intervention effect sizes
status review
evidence_strength weak
newest_evidence 2024
generated by process:wiki-ingest on 2026-10-02
trust unverified — no one has confirmed this page's content
sources 1 — guntur-2024

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