I have a questionnaire consisting of 7 multi item scales. The first four multi item scale each represents if a respondent performs a giving role and the remaining 3 multi item scales each represent a respondents identification with e.g. organization, colleagues, top-level managers. All the multi-item scales are based on likert scales summated into a multi-item scale (e.g. 6 questions added up to a total score and then divided with number of items within the scale (6) which gives the mean for the scale - if the mean is above a certain point, I then have created a dummy variabel (e.g. if respondent A has a mean for multi item scale 1 of more than 3, he will get a 1 (and a 0 if not). That is done for each of the scales meaning they only consist of 1's and 0's. Is that the way to do it, if I want to knoq the following?
I want to know if the role identification can explain why a certain role is performed more than other roles?
It should be noted that each multi-item scale is based on reliable theory and I have used cronbachs alpha to confirm it, which stated values for each of 7 scales of more than 0,70.
What should I do next?