**Module Description** Because publication bias leads to misleading results in meta-analysis, a number of statistical methods have been proposed to try to adjust for this bias. This module reviews contemporary methods, their strengths and weaknesses, and examines the quality of adjustment that can be expected. **Learning Objectives** Know the statistical methods for bias adjustment: p-curve / p-uniform, selection models, PET-PEESE meta-regression, trim-and-fill. Understand how each method works, and thus, what assumptions they rely on and when they will perform well or poorly. Calibrate your expectations for what publication bias adjustments can do. **Readings** [Egger, Smith, Schneider, and Minder. Bias in meta-analysis detected by a simple, graphical test.][1] [Simonsohn, Nelson, and Simons. P-Curve and Effect Size: Correcting for Publication Bias Using Only Significant Results.][2] [Vevea & Hedges. A general linear model for estimating effect size in the presence of publication bias.][3] [Guan & Vandekerkhove. A Bayesian approach to mitigation of publication bias.][6] Optional module: Current discussions in adjustment quality. [Carter, Schonbrodt, Hilgard, Gervais. Correcting for bias in psychology: A comparison of meta-analytic methods.][7] [Simonsohn, Simmons, and Nelson. Why p-curve excludes p > .05.][8] Optional module: Popular methods that don't work: [Fail-safe N][4] [Trim-and-fill][5] **Demonstrations** A bulleted list of (hyperlinked) activities goes here **Assignments** Load [this data][9] into your meta-analysis package of choice. Filter the data to only experiments of aggressive behavior. (Outcome == "AggBeh" & Setting == "Exp"). Make a funnel plot using the effect size (Fisher.s.Z) and standard error (Std.Err). Then, filter for only the "best" studies (Best. == "y") and make the funnel plot again. Does filtering for the "best" studies seem to increase or decrease publication bias? [1]: http://www.bmj.com/content/315/7109/629.short [2]: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2377290 [3]: https://link.springer.com/article/10.1007/BF02294384 [4]: http://crystalprisonzone.blogspot.com/2016/07/the-failure-of-fail-safe-n.html [5]: https://crystalprisonzone.blogspot.com/2017/05/trim-and-fill-just-doesnt-work.html [6]: https://link.springer.com/article/10.3758/s13423-015-0868-6 [7]:https://osf.io/preprints/psyarxiv/9h3nu [8]:http://datacolada.org/61 [9]:https://github.com/Joe-Hilgard/Anderson-meta/blob/master/cleaned_data.txt