Because only published and nominally significant values are considered, this makes effect estimates arguably insensitive to non-retrievable unpublished (and therefore likely non-significant) results and makes it possible to assess more insidious forms of dissemination bias such as p -hacking (e.g., repeated calculation of significance statistics in primary studies by means of different methods or inclusion of different a posteriori-selected covariates, until nominal significance is achieved).
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Indirect (implicit) and direct (explicit) self-esteem measures are virtually unrelated: A meta-analysis of the initial preference task.
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