Claims

Effect sizes of multiple intelligence practices are highly heterogeneous across studies

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3
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.

q3 i? The homogeneity test showed heterogeneous distribution of success data (Q=518,665, p<0,001; I2 above 75%). → Eyüp Yurt & Seyat Polat 2015

Evidence

Eyüp Yurt & Seyat Polat 2015

Eyüp Yurt & Seyat Polat. (2015). The Effectiveness of Multiple Intelligence Applications on Academic Achievement: A Meta-Analysis. Journal of Social Studies Education Research 6(1), 84-122. https://eric.ed.gov/?id=EJ1105368

q3 · i? · quant-synthesis · r2

Homogeneity test across the 81 comparisons in the meta-analysis. The article reports the Q statistic and states that I2 values bigger than 75% show the distribution of effect values is "highly heterogeneous".

"On the other hand, Q value which was calculated with homogeneity test showed that distributions of the success data have a heterogeneous structure (Q=518,6 65, p<0,001)."

Discussion

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