It did solve, and the results are the same as the versions prior to 2.5.1.
Thanks, Marcello!
Search found 24 matches
- Wed Oct 06, 2021 3:16 pm
- Forum: Help
- Topic: GAMLj: Very different results after the last update
- Replies: 11
- Views: 13295
- Mon Oct 04, 2021 2:48 pm
- Forum: Help
- Topic: GAMLj: Very different results after the last update
- Replies: 11
- Views: 13295
Re: GAMLj: Very different results after the last update
I have uninstalled it and installed it again but not yet working - see screenshot
- Sat Oct 02, 2021 6:20 pm
- Forum: Help
- Topic: GAMLj: Very different results after the last update
- Replies: 11
- Views: 13295
Re: GAMLj: Very different results after the last update
Hi Marcello,
I just updated to the new version but now I get this error. Can't run the analysis.
I just updated to the new version but now I get this error. Can't run the analysis.
- Wed Sep 29, 2021 2:15 pm
- Forum: Help
- Topic: GAMLj: Very different results after the last update
- Replies: 11
- Views: 13295
Re: GAMLj: Very different results after the last update
Hi Marcello,
Okay, I'll re-run the analyses with the new version. And thanks for the tip bout cluster-based centered - I did not know that the centering was done by the first cluster variable. I will also check this on the new analyses.
Best,
Tomás
Okay, I'll re-run the analyses with the new version. And thanks for the tip bout cluster-based centered - I did not know that the centering was done by the first cluster variable. I will also check this on the new analyses.
Best,
Tomás
- Tue Sep 28, 2021 12:28 pm
- Forum: Help
- Topic: GAMLj: Very different results after the last update
- Replies: 11
- Views: 13295
Re: GAMLj: Very different results after the last update
Done.
As I said, same random structure, same fixed factors (simple contrast coding), same covariate (postdiction, cluster based centered), same method to calculate dfs, different results. Weird.
As I said, same random structure, same fixed factors (simple contrast coding), same covariate (postdiction, cluster based centered), same method to calculate dfs, different results. Weird.
- Mon Sep 27, 2021 9:52 pm
- Forum: Help
- Topic: GAMLj: Very different results after the last update
- Replies: 11
- Views: 13295
GAMLj: Very different results after the last update
Hi,
I just updated the GAMLj module and after doing so the results of different GLMM analyses I was working on drastically changed. I did not do any changes to the models, just the update. Take a look at the attached files.
Thanks.
Tomás
I just updated the GAMLj module and after doing so the results of different GLMM analyses I was working on drastically changed. I did not do any changes to the models, just the update. Take a look at the attached files.
Thanks.
Tomás
- Mon May 24, 2021 5:10 pm
- Forum: Module development
- Topic: GAMLj: LRT for random effects
- Replies: 2
- Views: 15248
Re: GAMLj: LRT for random effects
Thanks for the clarifications, and for the amazing GAMLj module!
- Thu May 20, 2021 6:22 pm
- Forum: General
- Topic: mixed models analyses within GAMLj
- Replies: 7
- Views: 11555
Re: mixed models analyses within GAMLj
I have another question, sorry.
In the covariate scaling menu, the "centered" option means centering around the grand mean, and the option "centered clusterwise" means around participant's own mean?
In the covariate scaling menu, the "centered" option means centering around the grand mean, and the option "centered clusterwise" means around participant's own mean?
- Thu May 20, 2021 2:35 pm
- Forum: Module development
- Topic: GAMLj: LRT for random effects
- Replies: 2
- Views: 15248
GAMLj: LRT for random effects
Hi, I have two questions: 1. Are you planning on adding LRT for random effects to generalized mixed effect models? 2. Also, will you add Likelihood Ratio Tests (LRTs) for comparing different nested models? In the current GAMKL version, it's not possible to test whether models differ statistically in...
- Wed May 19, 2021 1:08 pm
- Forum: General
- Topic: mixed models analyses within GAMLj
- Replies: 7
- Views: 11555
Re: mixed models analyses within GAMLj
Thanks! It's a GLMM prediction recognition performance (yes/no) as a function of target race, target typicality, and confidence (continuously measured and mean-centered), with participants and stimuli as random factors (cluster variables). Here the model info: Model Info Info Value Comment Model Typ...