Claims

The blended learning treatment effect on reading scores did not differ as a function of grade

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2020 · 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? The interaction between treatment group and grade was not significant, indicating the treatment effect was consistent across grades. → Paul Macaruso 2020

Evidence

Paul Macaruso 2020

Paul Macaruso, Shani Wilkes, Jen Elise Prescott. (2020). An investigation of blended learning to support reading instruction in elementary schools. Education Tech Research Dev. https://doi.org/10.1007/s11423-020-09785-2

q2 · i? · causal · r2

Two-way interaction test within the ANCOVA of treatment group by grade on posttest RIT scores. The article reports the interaction was not significant and interprets this as a treatment effect consistent across grades; no effect size is printed.

"The interaction between treatment group and grade was not significant (F (5,3703) = 1.247, p = .284). This indicates that the treatment effect was consistent across grades."

Discussion

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