Claims

The digital story meta-analysis is resistant to publication bias by fail-safe N and trim-and-fill tests

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3
Currency · newest study 2020 · 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? Rosenthal's fail-safe N was 7854, meaning 7854 zero-effect studies would be needed to render the pooled effect of 0.750 non-significant, and the Mullen formula value of 16.3625 exceeds 1. → Nurullah Sahin and İsmail Coban 2020

Evidence

Nurullah Sahin and İsmail Coban 2020

Nurullah Sahin and İsmail Coban. (2020). The effect of digital story applications on students' academic achievement: A meta-analysis study. African Educational Research Journal, Special Issue 8(3), S62-S75. https://eric.ed.gov/?id=EJ1274516

q3 · i? · quant-synthesis · r2

Publication bias assessment in the Findings section using funnel plot inspection, Duval and Tweedie's trim and fill (14 artificial studies added, adjusted ES = 0.822), Rosenthal's fail-safe N (7854), and the Mullen et al. formula ([7854 / (5 * 94 + 10) = 16.3625]). The authors conclude the meta-analysis is resistant to publication bias.

"the fail-safe N number was calculated as 7854. This value indicates that in order for the common effect size calculated as 0.750 to be statistically insignificant, 7854 studies with zero effect level should be included in the meta-analysis."

Discussion

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