Search found 465 matches
- Sat May 04, 2024 10:51 am
- Forum: Statistics
- Topic: Logistic regression analysis for two treatment groups and two time points?
- Replies: 4
- Views: 77
Re: Logistic regression analysis for two treatment groups and two time points?
You need to install GAMLj3 module. There you find generalized mixed models
- Fri May 03, 2024 9:11 am
- Forum: Statistics
- Topic: Logistic regression analysis for two treatment groups and two time points?
- Replies: 4
- Views: 77
Re: Logistic regression analysis for two treatment groups and two time points?
You can use generalized mixed models, selecting a logistic model.
- Sun Apr 28, 2024 3:50 pm
- Forum: Help
- Topic: "the condition has length > 1" message on SEMLj interactive
- Replies: 1
- Views: 96
Re: "the condition has length > 1" message on SEMLj interactive
Please update to 1.2.3, it should work now
- Mon Apr 22, 2024 10:36 pm
- Forum: Module development
- Topic: SEM parameter constrained
- Replies: 1
- Views: 194
Re: SEM parameter constrained
If you send a practical example, we sort it out
- Sun Apr 21, 2024 2:21 am
- Forum: Help
- Topic: GLM Mediation with 3 level categorical factor
- Replies: 2
- Views: 184
Re: GLM Mediation with 3 level categorical factor
As for any other genaral linear model, also in mediation the effect of a categorical variable is represented by K-1 contrast variables, where K is the number of levels. If you want to change the reference level, go to the data tab, variable properties, and set your reference level as the first level...
- Mon Apr 15, 2024 9:35 am
- Forum: Help
- Topic: Error message 'the condition has length >1' for SEM Model
- Replies: 2
- Views: 501
Re: Error message 'the condition has length >1' for SEM Model
Hi there was an issue with the module. Update to next version (1.2.2) and it will work (it coming up tomorrow). In the meantime, you can run your analyses selecting "Missing pairwise" in "Model Options". In your data this option does not change anything (you do not have missing) ...
- Mon Apr 08, 2024 3:17 pm
- Forum: Statistics
- Topic: mean centering & variables scaling
- Replies: 1
- Views: 2339
Re: mean centering & variables scaling
1. sure, that is the default. With mixed model is always a good idea to center the covariates (although not necessary)
2. any factor is transformed in contrast variables and their coding is mean-centered (if do not select "dummy" as a coding system)
3. yes
2. any factor is transformed in contrast variables and their coding is mean-centered (if do not select "dummy" as a coding system)
3. yes
- Sat Apr 06, 2024 2:57 pm
- Forum: General
- Topic: Lmer and glmer in jamovi
- Replies: 1
- Views: 333
Re: Lmer and glmer in jamovi
Here is jamovi to R:
General Linear Model-> lm()
Generalized Liner Models -> glm() (plus some specific commands)
Mixed Models -> lmer() and lme()
Generalized Mixed Models -> glmer()
Gamlj uses a lot of other R packages to accomplish specific tasks, but these are the basic R commands.
General Linear Model-> lm()
Generalized Liner Models -> glm() (plus some specific commands)
Mixed Models -> lmer() and lme()
Generalized Mixed Models -> glmer()
Gamlj uses a lot of other R packages to accomplish specific tasks, but these are the basic R commands.
- Wed Mar 27, 2024 11:29 am
- Forum: Help
- Topic: Multilevel modelling: center leve 2 predictors
- Replies: 1
- Views: 3898
Re: Multilevel modelling: center leve 2 predictors
That would be a very strange default setting. By default all continuous variables are grand mean centered. You can choose "centered clusterwise" in the "covariates scaling" panel if you want to center level 1 predictors at group means.
- Tue Mar 26, 2024 11:15 am
- Forum: Statistics
- Topic: Gamma Mixed Model, Posthoc Odds Ratio
- Replies: 1
- Views: 3709
Re: Gamma Mixed Model, Posthoc Odds Ratio
Hi GAMLj3 implements posthoc tests for beta models (following R emmeans package) testing differences in probabilities (o proportions). So, the posthoc values are basically marginal effects for categorical independent factors. As such, the exp(b) would not make much sense. However, you can always get...