Infos

Details

Here you can find some explanation about how GALMj module does things.

• Details: GLM effect size indices
• Details: Model goodness of fit in GAMLj
• Generalized mixed model module technical details
• Generalized linear model module technical details
• Mixed Models module technical details
• Post-hocs Details

Examples

Here you can find some applications of GALMj module.

GLM

• GLM: Multiple regression, moderated regression, and simple slopes
• Polynomial Effects

Mixed model

• Mixed Models: Random coefficients regression
• Mixed Models: Repeated measures designs
• Mixed Models: Subjects by Stimuli random effects
• Mixed Models: Crossing and Nesting Cluster variables
• Mixed Models: Autocorrelation in logitudinal data

Generalized Linear Model

• Multinomial analysis in jamovi
• Logistic analysis in jamovi
• Frequencies analysis with overdispersed models

Generalized Mixed Models

• Logistic mixed model in jamovi
• Poisson and Negative Binomial mixed models in jamovi

Rosetta store: results across software

Comparisons with other software: Here you can find comparisons of results obtained in jamovi GAMLj, and other software, usually jamovi (jmv), pure R, and SPSS. The pages are primarily meant to test convergence between GAMLj and well-established packages, but they can be useful also to check how to get equivalent results across different programs.

• Rosetta store: contrasts
• Rosetta store: Generalized Mixed
• Rosetta store: moderation

Comments?

Got comments, issues or spotted a bug? Please open an issue on GAMLj at github or send me an email