Dear friends, this time I have a problem with using waba function. Firstly, I'll explain you my situation. In the survey a gruop of supervisors judge the dipendents of a company. One supervisor reported on more than one subordinate. Thus, I need to show that lack of independence is not a problem, and a reviewer told me to use WABA. The question is, how? In which way i can build my X and Y? I've understand that i need a variable group (supervisor), but i didn't understand how i can prove that judgement are indipendent from the supervisor. Another specification: supervisors reply to 12 items about each worker, and i have more than 15 supervisors, and ones of them judges only few workers, and others ones judges a very big quantity of workers. The reviewer also told me that another approach is use multilevel modeling (HLM), but i really don't know how i can do it. Hoping to have so many replies earlier, i wish you the best. Costantino Milanese [[alternative HTML version deleted]]
Dear friends, this time I have a problem with using waba function. Firstly, I'll explain you my situation. In the survey a gruop of supervisors judge the dipendents of a company. One supervisor reported on more than one subordinate. Thus, I need to show that lack of independence is not a problem, and a reviewer told me to use WABA. The question is, how? In which way i can build my X and Y? I've understand that i need a variable group (supervisor), but i didn't understand how i can prove that judgement are indipendent from the supervisor. Another specification: supervisors reply to 12 items about each worker, and i have more than 15 supervisors, and ones of them judges only few workers, and others ones judges a very big quantity of workers. The reviewer also told me that another approach is use multilevel modeling (HLM), but i really don't know how i can do it. Hoping to have so many replies earlier, i wish you the best. Costantino Milanese [[alternative HTML version deleted]]