Claims

Publication bias analyses suggest the pooled effect may be underestimated: trim-and-fill raises the mean effect from g = 0.24 to g = 0.29, with no evidence of funnel plot asymmetry

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q4
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.

q4 i? Egger's regression test indicated no evidence of funnel plot asymmetry, but trim-and-fill indicated five missing studies on the right side, and including them would increase the mean effect to g = 0.29. → Dahl-Leonard 2024

Evidence

Dahl-Leonard 2024

Dahl-Leonard, K., Hall, C., & Peacott, D. (2024). A meta-analysis of technology-delivered literacy instruction for elementary students. Education Tech Research Dev (2024) 72:1507–1538. https://doi.org/10.1007/s11423-024-10354-0

q4 · i? · quant-synthesis · r2

Publication bias analyses (funnel plot, Egger's regression, trim-and-fill) within the meta-analysis of 53 studies. The article reports "b = 0.37, df = 51, p = .51" for Egger's test and a trim-and-fill adjusted mean of g = 0.29; no standardized effect size is printed for the bias tests themselves.

"An Egger's regression test indicated no evidence of funnel plot asymmetry (b = 0.37, df = 51, p = .51). Results of the trim and fill analysis indicated that five studies were missing from the right side of the funnel plot. Including these missing studies in the random-effects model would increase the mean effect size from g = 0.24 to g = 0.29."

Discussion

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