Is failure to replicate effect size of meta-analysis estimates a reflection of publication bias?
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Suggests the likelihood that there were other studies with smaller effect sizes that were not included in the meta (likely either because file drawer or publication bias).
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This recent simulation study by
@J_Frankenbach and myself illustrates how p-hacking and publication bias can bias meta-analytic effect size estimates. Turns out the two interact and estimates are less affected if true effects are robust.https://psyarxiv.com/bvm58Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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A meta-analysis of meta-analyses finds a potential issue with meta-analyses ;)
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It’s so meta even this acronym
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But did they account for the fact that their paper is itself a meta-analysis?
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Are these mostly for experimental studies? I wonder if the problem might be worse for metas of correlational/longitudinal studies to the extent they (mostly mistakenly) rely on bivariate rs, when included studies might have multivariate analyses.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Or is it bad news for current replication procedures?
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Meta-analysis will reflect the bias presented in the published literature. In the presence of the QRPs, the reported effects are overestimates. Meta-analyses reflect this.
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