Claims

The pooled effect of multiple intelligence practices is resistant to publication bias

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · 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? Funnel plot was relatively symmetrical; clip-and-fill adjusted the effect from 1,117 to 1,408 (both large); Rosenthal's fail-safe N was 4186 and Orwin's method required 765 zero-effect studies. → 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 · r3

Publication-bias assessment of the meta-analysis using funnel scatter plot, clip and fill, and Rosenthal and Orwin's fail-safe N methods. Clip and fill suggested 15 dummy studies; the adjusted effect size value of 1,408 still "show[s] a large effect". Rosenthal's fail-safe N was 4186.

"Then, effect size value of the studies increase to 1,408 from 1,117. According to Cohen's (1988) effect size classification, both values show a large effect."

Discussion

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