generalized linear mixed model does not run
Hi,
I'm trying to run a generalized linear mixed model with 5 fixed variables (one of them on a scale score the rest are nominal variables) and one random nominal variable, and a binary outcome variable (see below). Last time I ran a similar model it took the night to calculate it, however, this time, it just keeps on "thinking" after calculating the first variable (see blow) I tried many different computers and gave it over a night to calculate. any ideas please??
Comments
That's because JASP has the very, very bad default behavior of including all possible interaction terms as both fixed and random effects. Under Model on the left, remove all terms with a star in it, especially from the random effects box. You might even need to remove more from the random effects box.
What default behavior would be better? Could you suggest something on our GitHub page? (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/)
EJ
I think it's quite common for the user to want a 'repeated-measures-ANOVA-like' result, which would include all possible interactions. Thus, even if the default were to exclude interactions, there would still be the question of whether JASP is running with enough speed/efficiency to compute the requested interactions.
R
I think there can also be issues with Type I error inflation if some interactions (or other components) are excluded from the model.
R