Claims

Intervention dosage (duration, frequency, intensity) shows no consistent association with app effect sizes

Claim · All claims
Evidence · 1 study · quant-synthesis r? · 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? Log2 duration and log2 intensity did not predict outcomes once assessment type was controlled; evidence on dosage was inconsistent. → James Kim 2021

Evidence

James Kim 2021

James Kim, Joshua Gilbert, Qun Yu, Charles Gale. (2021). Measures Matter: A Meta-Analysis of the Effects of Educational Apps on Preschool to Grade 3 Children's Literacy and Math Skills. AERA Open. https://doi.org/10.1177/23328584211004183

q3 · i? · quant-synthesis · r?

RVE meta-regression Model 2 (Table 6) with dosage moderators; log2 duration coefficient −0.012 and log2 intensity 0.012, both nonsignificant. Log2 frequency was significant (0.126, p < .05), hence the authors call the evidence inconsistent.

"the meta-regressions indicated that log2 duration and log2 intensity measures did not predict outcomes once the assessment type was included in the model"

Discussion

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