Claims

Treatment and gender did not interact significantly in their effects on algebra achievement

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2018 · 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? The interaction effect of treatment and gender on students' achievement in algebra was statistically not significant (F (1,387)=1.284, p=0.278, η2p=0.007), so the treatment conditions did not discriminate across gender. → Ojaleye 2018

Evidence

Ojaleye 2018

Ojaleye, O. & Awofala, A.O.A. (2018). Blended learning and problem-based learning instructional strategies as determinants of senior secondary school students' achievement in algebra. International Journal of Research in Education and Science (IJRES), 4(2), 486-501. https://doi.org/10.21890/ijres.428286

q3 · i? · causal · r2

ANCOVA interaction test in the same quasi-experimental study; the null hypothesis of no treatment-by-gender interaction was not rejected. The article reports "η 2p=0.007" in Table 6 for the Treatment×Gender source. No equivalence test was reported.

"An analysis of the posttest algebra s cores of the interaction of treatment (PBL, BL & TLM) and gender (male & female) using the Analysis of Covariance as contained in Table 6 above showed that the interaction effect of treatment and gender was statistically not significant (F (1,387)=1.284, p=0.278, η 2p=0.007)."

Discussion

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