Claims

Posttest accuracy scores did not differ significantly between the treatment and control groups

Claim · All claims
Evidence · 1 study · causal r1 · q2
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.

q2 i? The follow-up ANOVA on gain scores found posttest accuracy scores were not significantly different between groups (F(1,26) = .74, p > .025). → Letwinsky 2017

Evidence

Letwinsky 2017

Letwinsky, K. M., & Berry, M. D. (2017). Technology Integration and the Effect on Mathematics Fact Fluency in the Middle East. Journal of International Education and Leadership, 7(1). https://eric.ed.gov/?id=EJ1153618

q2 · i? · causal · r1

Post hoc ANOVA following the gain-score MANOVA in the Findings section, testing the accuracy dependent variable at the Bonferroni-adjusted alpha of .025. The null indicates no detected difference; equivalence was not tested and no effect size is printed.

"The posttest scores, however, were not significantly different (F (1,26) = .74, p > .025)."

Discussion

Learner Variables

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