Effect size estimates for hands-on science interventions are highly heterogeneous across studies¶
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? Heterogeneity across the 19 effect size estimates is statistically significant and very large (Q(18) = 175.12, p < .01; I2 = 90.45%). → 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
Heterogeneity analysis of the 19 included effect size estimates using the Q-statistic, I2 and H2 indices. The article reports "a great amount of heterogeneity" with Q(18) = 175.12, p < .01, and states the I2 value showed 90.45% of total variability was due to heterogeneity.
"Our data analysis showed that there was a great amount of heterogeneity in the observed effect size estimates obtained from the selected studies [Q (18) = 175.12, p < .01]."
Discussion¶
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