The pooled effect of multiple intelligence practices is resistant to publication bias¶
Claim · All claims
Evidence · 1 study · quant-synthesisr3·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¶
Related Claims¶
- Funnel plot analysis showed no publication bias among the 15 studies included in the AR meta-analysis — related
- Fail-safe N analyses (Rosenthal N = 902.2; Orwin N = 140.0) indicate the meta-analytic result is robust to unpublished conflicting studies — related
- The meta-analytic effect of learning stations is resistant to publication bias — related
- Publication-bias checks give mixed results: Egger's test indicates funnel-plot asymmetry while Trim and Fill and Fail-Safe N indicate no bias — related
- The digital story meta-analysis is resistant to publication bias by fail-safe N and trim-and-fill tests — related
- The meta-analysis is resistant to publication bias by Rosenthal's fail-safe N criterion — related
- No publication bias was detected in the set of creative drama studies on Social Studies achievement — related
- Publication-bias checks indicate the pooled effect is unlikely to result from publication bias — related
- Publication bias tests give mixed evidence: Egger's test indicates bias, but fail-safe N calculations lead the authors to conclude no publication bias — related
- Publication bias is present and may inflate the overall hands-on effect size estimate — related
- The meta-analysis shows no publication bias problem by Rosenthal's fail-safe N criterion — related
- Fail-safe analyses indicate the meta-analysis findings are not attributable to publication bias — related
- Fail-safe N analyses indicate the pooled effect is resistant to publication bias (Rosenthal FSN = 2139; Orwin FSN = 1048) — related
- The meta-analysis results are resistant to publication bias, per fail-safe N of 1791 — related
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