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

  3

Forked from osf.io/d2cye on

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

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.

Wiki

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...

Files

Citation

Recent Activity

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.