Claims

Performance feedback alone is not a statistically significant predictor of training effect size in group-design studies

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3
Currency · newest study 2017 · 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? In meta-regression across 12 studies, performance feedback alone was not a significant predictor of effect size (β = .68, p = .14), though it explained 19.53% of random variance. → Matthew E. Brock and Erik W. Carter 2017

Evidence

Matthew E. Brock and Erik W. Carter 2017

Matthew E. Brock and Erik W. Carter. (2017). A Meta-Analysis of Educator Training to Improve Implementation of Interventions for Students With Disabilities. Remedial and Special Education. https://doi.org/10.1177/0741932516653477

q3 · i? · quant-synthesis · r2

Meta-regression model across all 12 group-design studies testing performance feedback as a hypothesized moderator. It was "not a significant predictor of effect size" (p = .14) but explained R2 = 19.53% of random variance.

"Performance feedback alone was not a significant predictor of effect size, β = .68, t(10) = 1.62, p = .14, although it did explain random variance in the model (R2 = 19.53%)."

Discussion

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