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Chunk #14 — Method — Publishing everything is more effective (II): when effect size matters

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Why publishing everything is more effective than selective publishing of statistically significant results.
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The final rows of Table 1 present the meta-analytic effect size averaged across all runs having the same sign of the first published study, i.e., negative or positive. One may wonder whether the selective publishing scenario yields a biased estimate of the effect depending on the sign of the first study. The results of our simulation show that meta-analyses with as few as about 8 published studies already yield an unbiased estimate, confirming W&H (p.3) that possible bias in selective publishing (as modeled by W&H) is rapidly nullified.