Your input and results
This incredibly basic shiny app uses the function hedges_g() from the package esc with thanks to its author Daniel Lüdecke . I created it partly to complement my Rblog post about Hedges's g which has now (26.viii.25) grown into a small monograph which explores a lot about g
- Demonstrating that d overestimates population d and that g does correct for that.
- Exploring different ways of computing g .
- Showing that g is not robust to unequal sample sizes, heteroscedasticity or non-Gaussian distributions
- Concluding that if you have raw data, bootstrapping g will probably be more robust than this parametric conversion from d to g
App created by Chris Evans
PSYCTC.org
licenced under a
Creative Commons, Attribution Licence-ShareAlike
Please respect that and put an acknowledgement and link back to here if re-using anything from here.
App first created 24.xii.24, most recent update with more linkage to the Rblog post 26.viii.25.
Background and related resources
This shiny app is one of a growing number in, my shiny serverThey complement:
- my Rblog of posts about using R
- the glossary linked with
- the OMbook
- the CECPfuns R package
- and it's all part of the resources of PSYCTC.org
- and linked with the CORE system web site
There is a form if you want to contact me: so do please use that if you think there is anything wrong here or anything that could be improved.
There is also now an Email announcement list, never updating more than monthly, where I will put up developments of new apps here, a summary of updates to the glossary and new posts in the Rblog. You can sign up for that here.