Search found 460 matches
- Mon Apr 15, 2024 9:35 am
- Forum: Help
- Topic: Error message 'the condition has length >1' for SEM Model
- Replies: 2
- Views: 201
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: 147
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: 215
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: 170
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: 182
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...
- Sun Mar 24, 2024 11:06 pm
- Forum: Help
- Topic: GAMLj3 error in Linear Mixed Model (cholmod_factor_IdetA..)
- Replies: 6
- Views: 340
Re: GAMLj3 error in Linear Mixed Model (cholmod_factor_IdetA..)
We are investigating this. Thanks for sharing
- Sun Mar 24, 2024 10:28 am
- Forum: General
- Topic: Linear Regression Calculation differences
- Replies: 2
- Views: 186
Re: Linear Regression Calculation differences
General Linear Model by default centers the covariates to their mean, whereas Linear Regression does not. So, when your variables are entered as covariates and there is an interaction in the model, the first order effects are different. If you center your variables or in GLM set the scale to "n...
- Fri Mar 22, 2024 9:36 am
- Forum: Help
- Topic: GAMLj3 error in Linear Mixed Model (cholmod_factor_IdetA..)
- Replies: 6
- Views: 340
Re: GAMLj3 error in Linear Mixed Model (cholmod_factor_IdetA..)
Could you tell us the jamovi version and the version of GAMLj you work with?
- Sat Mar 16, 2024 4:20 pm
- Forum: Statistics
- Topic: Graphing Johnson-Neyman plots in Jamovi
- Replies: 2
- Views: 217
Re: Graphing Johnson-Neyman plots in Jamovi
If you are interested, Jn plot will be in gamlj3 in next version
- Tue Mar 05, 2024 6:47 am
- Forum: Statistics
- Topic: Structuring Data for Binomial Logistic Regression with Two-Level Questions
- Replies: 3
- Views: 585
Re: Structuring Data for Binomial Logistic Regression with Two-Level Questions
mcfanda@gmail.com wrote: ↑Tue Feb 27, 2024 8:29 pm If you have repeated measure, you need a logistic mixed model, under generalized mixed models