Claims

Training combining modeling and performance feedback is associated with larger implementation fidelity effects (β = .77, p = .04)

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 all 12 studies, presence of a combination of modeling and performance feedback was the strongest single predictor of effect size, statistically significant and explaining 42.03% 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 moderator analysis across all 12 group-design studies, testing predictors identified from the single-case design literature. The modeling-plus-performance-feedback combination was "statistically significant, β = .77, t(10) = 2.24, p = .04" and explained R2 = 42.03% of random variance.

"Presence of a combination of modeling and performance feedback was the strongest single predictor. This combination was statistically significant, β = .77, t(10) = 2.24, p = .04, and it explained a substantial proportion of the random variance in the model (R2 = 42.03%)."

Discussion

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