Treatment and gender do not interact significantly in their effect on mathematics achievement¶
Claim · All claims
Evidence · 1 study · causalr2·q2
Currency · newest study 2015 · 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 effect of treatment and gender on students' achievement in mathematics was not significant, so the CRAIS advantage did not differ by gender. → Sabainah Oyebola Akinoso 2015
Evidence¶
Sabainah Oyebola Akinoso 2015¶
Sabainah Oyebola Akinoso. (2015). Teaching Mathematics in a Volatile, Uncertain, Complex and Ambiguous (VUCA) World: The Use of Concrete – Representational – Abstract Instructional Strategy. JISTE Vol. 19, No. 1, 2015. https://eric.ed.gov/?id=EJ1177074
q2 · i? · causal · r2
Omnibus ANCOVA interaction test in the quasi-experiment: Table 5 shows CRAIS means of 20.92 (male) and 21.72 (female) versus control means of 18.55 and 19.60, with the interaction reported as "not significant"; no effect size is printed.
"From Tables 2 and 5 , the interaction effect of treatment and gender on students’ achievement in mathematics is not significant (F (1, 190) =.01; p < .05). Therefore, hypothesis 3 is rejected."
Discussion¶
Related Claims¶
- Senior secondary students taught with CRAIS achieved significantly higher mathematics posttest scores than students taught with modified conventional teaching strategy — related
- No significant differential treatment effects by prior (Grade 4) achievement level or gender; the Grade 4 Level 3 subgroup difference was marginal (p = .053) — related
- The simulation advantage and interest differences hold across subgroups of age, gender, school form, and grade — related
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