R package for effect size calculations for psychology researchers

October 19, 2013
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(This article was first published on Statistical Modeling, Causal Inference, and Social Science » R, and kindly contributed to R-bloggers)

Dan Gerlanc writes:

I read your post the other day [now the other month, as our blog is on a bit of a delay] on helping psychologists do research and thought you might be interested in our R package, “bootES”, for robust effect size calculation and confidence interval estimation using resampling techniques. The package provides one function, ‘bootES’, that makes a variety of effect size calculations fairly straightforward for researchers with limited programming experience. The majority of the implemented are not available in R or SPSS without custom coding. Kris Kirby (Williams College) and I have published a paper in Behavioral Research Methods describing the methods and providing a tutorial on use of the package: http://bit.ly/YIM6VD. We hope that it’s useful to psychologists and other social science researchers!

I haven’t tried this out but it might be of interest for some of you.

The post R package for effect size calculations for psychology researchers appeared first on Statistical Modeling, Causal Inference, and Social Science.

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