Feature request in jamovi ANOVA

Everything related to the development of modules in jamovi

by Paul_Ginns » Tue Nov 26, 2019 4:39 am

I'd like to suggest a robust ANOVA alternative for jamovi based on the WelchADF package:

Keselman, H. J., Algina, J., Lix, L. M., Wilcox, R. R., & Deering, K. N. (2008). A generally robust approach for testing hypotheses and setting confidence intervals for effect sizes. Psychological Methods, 13, 110–129.
Villacorta, P. J. (2017). The welchADF package for robust hypothesis testing in unbalanced multivariate mixed models with heteroscedastic and non-normal data. R J, 9(2), 309-328.
https://journal.r-project.org/archive/2 ... index.html

One of the open secrets of behavioral science and educational research is the prevalence of non-normal data. The WelchADF approach provides an approach to estimating effect sizes and their confidence intervals in a more robust way than traditional ANOVA.

Thanks for considering this suggestion.
Paul_Ginns
 
Posts: 3
Joined: Sat Oct 26, 2019 12:53 am

by jonathon » Tue Nov 26, 2019 9:20 am

oh yup. have you taken a look at the walrus module?

jonathon
User avatar
jonathon
 
Posts: 986
Joined: Fri Jan 27, 2017 10:04 am

by Paul_Ginns » Tue Nov 26, 2019 11:09 pm

Thanks Jonathon. Just had a look at walrus - thanks very much for putting this together! I think the WelchADF package would extend robust analyses in jamovi quite a way by reporting effect sizes and their confidence intervals.

Hopefully,

Paul
Paul_Ginns
 
Posts: 3
Joined: Sat Oct 26, 2019 12:53 am


Return to Module development