Dear Alfonso
Dear Conn-Users

Previous posts suggest the following 2nd level contrast [0 0 1 -1] for testing the gender by score interaction, using "males" , "females", "score_for_males", "score_for_females", respectively. However, how do you test the same interaction, by simultaneously correcting for covariates of no interest, such as age or sites? Doesn't it confuse the Conn with categorical or continuous variables when you put "0" for these e.g. [0 0 0 0 0 1 -1]? I also assume here the scores are coded with either a value or a "0". Does it additionally require spliting each covariate into "age_males", "age_females", "site_1_male", "site_1_female", "site_2_male", "site_2_female"?

I screened the posts for this specific question, but could find no answer and would appreciate any comment. Thank you.

Greetings,
Lucas