Two new modules are made available in the jamovi library. The first one,
developed by Marcello Gallucci, is a general
framework for general, mixed, and generalized linear models and allows you to run
a large number of useful analyses. Make sure to check out the excellent
documentation, which includes elaborate
examples for a number of analyses such as
multinomial logistic regression
and moderated regression.
The second module,
MAJOR, developed by Kyle Hamilton,
allows you to do a meta-analysis in jamovi using different types of input (e.g.,
effect sizes, correlations coefficients).
MAJOR and jamovi work really well together;
new studies can easily be added in the spreadsheet and the results will automatically update,
making it easy to always keep your meta-analyses up-to-date.
Both modules can be downloaded straight from the jamovi library and any comments or
suggestions can be left on their respective github pages:
Also check out the other modules available in the jamovi library