Claims

No statistically significant gender difference in chemistry achievement among students taught through computer-based simulations

Claim · All claims
Evidence · 1 study (2 entries) · causal r2 · 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? An independent samples t-test found no significant difference between male and female students taught through CBS. → Mihindo W. Jane 2017 q2 i? ANCOVA with KCPE as covariate also showed no significant gender difference in the experimental groups. → Mihindo W. Jane 2017 (2)

Evidence

Mihindo W. Jane 2017

Mihindo W. Jane, Wachanga S.W. & Anditi Z. O. (2017). Effects of Computer-Based Simulations Teaching Approach on Students’ Achievement in the Learning of Chemistry among Secondary School Students in Nakuru Sub County, Kenya. Journal of Education and Practice, 8(5). https://eric.ed.gov/?id=EJ1133108

q2 · i? · causal · r2

Independent samples t-test of post-test CAT scores by gender in the experimental groups (female mean .6432, N=38; male mean .6608, N=49). The article reports "no significance difference ... since t (85) =-.562, p>0.05"; null hypothesis Ho3 was accepted.

"From the results of the independent samples t-test no significance difference was obtained between achievement of male and female who were taught Chem istry through CBS since t (85) =-.562, p>0.05."

Mihindo W. Jane 2017 (2)

Mihindo W. Jane, Wachanga S.W. & Anditi Z. O. (2017). Effects of Computer-Based Simulations Teaching Approach on Students’ Achievement in the Learning of Chemistry among Secondary School Students in Nakuru Sub County, Kenya. Journal of Education and Practice, 8(5). https://eric.ed.gov/?id=EJ1133108

q2 · i? · causal · r2

ANCOVA of post-test CAT scores by gender with KCPE as covariate, run to compensate for pre-test mean differences between male and female students. The article reports "no statistically significant difference ... F(1, 84 )=.355 ,p>0.05".

"The results in Table 15 showed that there was still no statistically significant difference between th e mean scores of male and female students in Experimental Groups 1 and 2,F(1, 84 )=.355 ,p>0.05."

Discussion

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