@PeterFlom Thank you for pointing that out, I amended it. I'm not sure if this is what I'm looking for. I found different ways to calculate effect size but I'm not sure which is the most appropriate approach for a logistic regression with interactions of different types of independent variables. For example, here (youtube.com/watch?v=W8ktaSKVCL0) they mention cohen's d calculated using that method might not be good for continous iv.

Yes, the significant interaction is in the between-subjects level. I disentangled the within and between variance. The interaction was n.s. in the within level. That's why I'm lost regarding what I need to do in this case in which the interaction is in the between subjects level.

Thank you for your answer. If I run the model using the standardized predictors I might lose disentangling the within and between person, am I correct? The model showed only the interaction of the between-person level of both stress type and stress level was significant (mean_stress_type_rec * mean_stress_level), which is what I'd like to understand. The within-person interaction was not significant. For clarification, the between-person variable of stress type is the proportion of the chronic (vs acute) events over the study.