jamovi

Investigating the issues further, I found out that GAMLj3 fixed all the issues. A catch is that GAML3 is not compatible with 2.3.28. You need the 2.4.11 version to install GAMLj3.

Although I resolved this issue, I will leave my comments here for others who may have experienced the same issue.

What is weird is that the error happened when the categorical variable had only 2 categories. When I used a different dataset with a categorical variable with 3 categories, I got a correct graph.

I would like to report an error in Plots function in GAMLj module. When I entered only the predictor in the horizontal axis, the graph looked fine. But, when I tried to separate the lines by a categorical moderator, the graph was something wrong. I tried various options to improve the graph but it s...

I noticed an issue related to a big data too. One of the data files had 2200 variables. I could open the file. But, when I try to see the list of the variables, the later variables were munched together. Please see the image. So, is there a limit in the number of variables or the size of the data fi...

I got the answer from other forums. I missed something big. Because the relationship between the IV and the DV is negative, the predicted value should have a negative relationship with the IV. Sorry, it is not a bug. I found a big missing piece in my understanding.

I was preparing a seminar and accidentally stumbled upon an odd situation in SPSS. When there is a negative relationship between the predictor and the dependent variable in a simple regression, the calculated predicted value showed a negative perfect correlation (-1) with the original predictor in S...

It seems the issue is related to centering, not the scale scoring. But, if you show me your regression model, I can figure out the reason.

None of your diagrams are showing bifactor models. I am curious if you wanted or meant a hierarchical model, not bi-factor model. Considering the modeling history of bi-factor models, I am not sure if you have a good theoretical rationale for bi-factor models. If you did mean bi-factor models, then ...

It might be helpful if you understand the relationship between ANOVA and regression. ANOVA is a special case in regression. In regression terms, ANOVA with 2 group means is the same as saying that the DV is regressed on a dichotomous categorical predictor. The dichotomous predictor can be coded as 0...

Run simple regression analysis in each group!