The college-or-university school level shows a statistically significant difference in mean effect size from other school levels¶
Claim · All claims
Evidence · 1 study · quant-synthesisr2·q3
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.
q3 i? The mean effect size estimate from studies conducted in college or university differed statistically from other school levels, with a subgroup estimate of g = 3.14 based on one study. → Caglak 2017
Evidence¶
Caglak 2017¶
Caglak, S. (2017). Does hands-on science practices make an ımpact on achievement in science? A meta-analysis. Journal of Education in Science, Environment and Health (JESEH), 3(1), 69-87. https://eric.ed.gov/?id=EJ1125775
q3 · i? · quant-synthesis · r2
Mixed-effects parameter estimates for the school level moderator (Table 2 and Appendix A). The article reports the college-or-university slope was statistically significant; Appendix A shows a subgroup estimate of 3.14 [2.69-3.59] based on N = 1 study.
"However, the mean effect size estimate obtained from the studies conducted in college or university showed some statistical difference from the other school levels since the associated slope parameter was statistically significant."
Discussion¶
Related Claims¶
- No moderator variable significantly differentiates hands-on science effect sizes across subgroups — related
- ACT scores show significant subgroup misprediction by race, ethnicity, and gender that HSGPA models do not, and school-level variance is smaller among students with the same ACT score than the same HSGPA — related
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