Claims

No moderator variable (intervention type, group size, grade level, implementer, hours of intervention) significantly explained variance in intervention effects, though moderator analyses were underpowered.

Claim · All claims
Evidence · 1 study (2 entries) · quant-synthesis r2 · q3
Currency · newest study 2016 · 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? Intervention effectiveness did not significantly differ by intervention type, size of instructional group, grade level, implementer, or number of hours of intervention. → Wanzek 2016

Evidence

Wanzek 2016

Wanzek, J., Vaughn, S., Scammacca, N., Gatlin, B., Walker, M. A., & Capin, P. (2016). Meta-analyses of the effects of tier 2 type reading interventions in grades K-3. Educational Psychology Review, 28, 551-576. https://eric.ed.gov/?id=ED579894

q3 · i? · quant-synthesis · r2

Moderator analyses (mixed-effects models) across the meta-analyses comparing intervention type, group size (1:1, 2-3, 4-5), grade level, implementer, and hours categories. The article reports "no statistically significant differences were found between groups based on any moderator variable."

"No statistically significant differences were found between groups based on any moderator variable, meaning there was no evidence that intervention effectiveness differed by intervention type, size of instructional group, grade level, implementer, or the number of hours of intervention."

Wanzek 2016 (2)

Wanzek, J., Vaughn, S., Scammacca, N., Gatlin, B., Walker, M. A., & Capin, P. (2016). Meta-analyses of the effects of tier 2 type reading interventions in grades K-3. Educational Psychology Review, 28, 551-576. https://eric.ed.gov/?id=ED579894

q3 · i? · quant-synthesis · r2

Authors' own limitation on the null moderator findings in the Discussion section: "Statistical power was below .90 for many of the moderator analyses," so null results may reflect insufficient power rather than true equivalence.

"Statistical power was below .90 for many of the moderator analyses. Therefore, our discussion of the implications of the moderator findings should be considered in light of the related limitations within the available research, including insufficient power."

Discussion

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