Claims

MetaLight calculates multiple effect size types from continuous or binary two-group data

Claim · All claims
Evidence · 1 study · design r1 · q2
Currency · newest study 2012 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2015: tool and model accuracy changes quickly

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? MetaLight calculates Hedges g, r, mean difference, odds ratio, risk ratio, and risk difference from either continuous or binary data assuming a standard two group study design. → Thomas James 2012

Evidence

Thomas James 2012

Thomas James, Graziosi Sergio, Higgins Steve, Coe Robert, Torgerson Carole, Newman Mark. (2012). Teaching meta-analysis using MetaLight. BMC Research Notes. https://doi.org/10.1186/1756-0500-5-571

q2 · i? · design · r1

The article describes MetaLight's analytical functionality in the Results and discussion section. The software computes six named effect size types from continuous or binary two-group data, with Hedges g and mean difference calculated from group sample sizes, means and standard deviations.

"It calculates the following effect sizes from either continuous or binary data assuming a standard two group (typically intervention and control) study design: Hedges g, r (correlation), mean difference, odds ratio, risk ratio, risk difference."

Discussion

Page metadata
Field Value
status review
generated by process:wiki-ingest on 2026-11-01
trust unverified — no one has confirmed this page's content

Frontmatter is the page's machine-readable record — see the Schema & Guide.