Claims

No significant moderators of effects among research design features or intervention characteristics

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3
Currency · newest study 2021 · 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? Meta-regressions with adequate statistical power found no significant moderators among research design features or intervention characteristics for vocabulary or comprehension effect sizes. → HyeJin Hwang 2021

Evidence

HyeJin Hwang 2021

HyeJin Hwang, Sonia Q. Cabell & Rachel E. Joyner (2021). Effects of Integrated Literacy and Content-area Instruction on Vocabulary and Comprehension in the Elementary Years: A Meta-analysis. Scientific Studies of Reading. https://doi.org/10.1080/10888438.2021.1954005

q3 · i? · quant-synthesis · r2

Meta-regression analyses (Robumeta) of research design features (Table 8) and intervention characteristics (Table 9), each moderator entered separately, restricted to analyses with adequate statistical power per the power analysis. No significant moderators emerged; the abstract attributes this partly to the small number of studies.

"Meta-regression analyses with sufficient statistical power revealed that none of the research design features were significant moderators for explaining the differences in the overall effect sizes for vocabulary and comprehension. Similarly, there was no significant moderator among characteristics of the interventions to predict the variance in the overall effect size for vocabulary"

Discussion

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