Fork of Power in language research: Power and effect size in mixed effects models

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Description: In psychology and language research, attempts to replicate published findings are less successful than expected. For properly powered studies replication rate should be around 80%. The Open Science Collaboration (2015) could only replicate 36% of studies that were selected from different areas of psychology. This can partly be explained by publication bias and fraud, but most likely reflects a lack of power in the original studies. We describe how you can estimate the power of studies with both subjects and items as random factors.

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Contents The development of the SIMR package in R has made it possible to do power analyses yourself. In addition, there have been interesting developments with respect to the calculation of effect sizes. Therefore, the original paper has been rewritten, now using the Perea et al. (2015) dataset instead of the Huthcison et al. (2013) dataset. The former is a more typical, small-scale word recogni...

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