Claims

MetaLight's interface is designed to develop understanding of forest plots, statistical models, and funnel plot construction

Claim · All claims
Evidence · 1 study · design r1 · q2
Currency · newest study 2012 · 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? MetaLight's interface has been designed to develop understanding of the relationship between effect sizes and their appearance on the forest plot, the impact of fixed or random effects model selection, and how funnel plots are constructed. → 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 authors describe the design intent of the MetaLight application in the Results and discussion section. The interface design targets three specific learning goals: "the relationship between effect sizes and their appearance on the forest plot", model selection impact, and funnel plot construction.

"Its interface has been designed to develop understanding of: the relationship between effect sizes and their appearance on the forest plot; the impact on results of selecting a fixed or random effects model; and how funnel plots are constructed."

Discussion

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