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10.1177/1745691616650874 http://scihub22266oqcxt.onion/10.1177/1745691616650874 C5117126!5117126 !27694466     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27694466 &cmd=llinks): Failed to open stream: HTTP request failed! 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Conducting Meta-Analyses Based on p Values: Reservations and Recommendations for Applying p-Uniform and p-Curve |pdf=|usr=}}{{27694466 }} gab.com Text Conducting Meta-Analyses Based on p Values: Reservations and Recommendations for Applying p-Uniform and p-Curve JO: Perspect Psychol Sci http://www.kidney.de/pget.php?&tw=1&pmid=27694466 #FOAvip Because of overwhelming evidence of publication bias in psychology, techniques to correct meta-analytic estimates for such bias are greatly needed. The methodology on which the p-uniform and p-curve methods are based has great promise for providing accurate meta-analytic estimates in the presence of publication bias. However, in this article, we show that in some situations, p-curve behaves erratically, whereas p-uniform may yield implausible estimates of negative effect size. Moreover, we show that (and explain why) p-curve and p-uniform result in overestimation of effect size under moderate-to-large heterogeneity and may yield unpredictable bias when researchers employ p-hacking. We offer hands-on recommendations on applying and interpreting results of meta-analyses in general and p-uniform and p-curve in particular. Both methods as well as traditional methods are applied to a meta-analysis on the effect of weight on judgments of importance. We offer guidance for applying p-uniform or p-curve using R and a user-friendly web application for applying p-uniform. Twit Text FOAVip Conducting Meta-Analyses Based on p Values: Reservations and Recommendations for Applying p-Uniform and p-Curve ????Perspect Psychol Sci http://www.kidney.de/pget.php?&tw=1&pmid=27694466 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27694466 #FOAvip English Wikipedia <ref>{{Cite pmid|27694466 }}</ref> Conducting Meta-Analyses Based on p Values: Reservations and Recommendations for Applying p-Uniform and p-Curve #MMPMID27694466 van Aert RC ; Wicherts JM ; van Assen MA Perspect Psychol Sci 2016[Sep]; 11 (5 ): 713-729 PMID27694466 show ga Because of overwhelming evidence of publication bias in psychology, techniques to correct meta-analytic estimates for such bias are greatly needed. The methodology on which the p-uniform and p-curve methods are based has great promise for providing accurate meta-analytic estimates in the presence of publication bias. However, in this article, we show that in some situations, p-curve behaves erratically, whereas p-uniform may yield implausible estimates of negative effect size. Moreover, we show that (and explain why) p-curve and p-uniform result in overestimation of effect size under moderate-to-large heterogeneity and may yield unpredictable bias when researchers employ p-hacking. We offer hands-on recommendations on applying and interpreting results of meta-analyses in general and p-uniform and p-curve in particular. Both methods as well as traditional methods are applied to a meta-analysis on the effect of weight on judgments of importance. We offer guidance for applying p-uniform or p-curve using R and a user-friendly web application for applying p-uniform. |*Data Interpretation, Statistical [MESH] |*Meta-Analysis as Topic [MESH] |*Models, Statistical [MESH] |Humans [MESH] |Internet [MESH] |Psychology/methods [MESH] |Publication Bias [MESH]Conducting Meta-Analyses Based on p Values: Reservations and Recommend(epmc).pdf DeepDyve Pubget Overpricing