jamovi

mcfanda@gmail.com wrote: ↑Sat Sep 28, 2024 1:50 amGreat

Thank you again and again, have a great day.

Please have a look here https://gamlj.github.io/book/glm.html#anova, and here https://gamlj.github.io/rosetta_contrasts.html Thank you so much, I get a bit more now. For other than the interactions, simple and dummy doing the same thing because "centering around zero = no centering". But,...

I am confused right now and I didn't quite get this explanation:
https://gamlj.github.io/mixed.html#factors-coding

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 Hi, I have this variable with co...

Thank you, I am gonna look the link you gave me (Probably I am gonna cite this paper). I am gonna give the graph that I shared in here, and I am gonna point out "This is not a must-have". And also this is not relevant, but I want to say while it is coming to my mind. I had tried JReshape m...

The residuals-predicted scatterplot:

And also, I watch this youtube videos and thisperson checking 3 graph and saying "All assumptions are okey.". Is there no consensus on these assumptions in the literature?
1. https://youtu.be/1DBujFQsJ_U?t=770
2. https://youtu.be/CiYHoxXKA5w?t=1127

Hi, I was doing assumption checks for my analysis' in my thesis. I couldn't figure it out this, could you help me: Is there a way to handle these assumptions in this module (or in the jamovi): 1. Homogenity of variances (Homogenity of level-1 variances ?) (Equality of level-1 variances for each leve...