Two new modules are made available in the jamovi library. The first one, GAMLj, 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: https://github.com/mcfanda/gamlj for GAMLj, and https://github.com/kylehamilton/MAJOR for MAJOR. Also check out the other modules available in the jamovi library

> CHECK OUT WHICH MODULES ARE AVAILABLE IN THE JAMOVI LIBRARY