Hi all,
Something I came across when helping a colleague out. I can conceptualize one 'grouping' of his data as a within-subject factor or as different dependent variables. He's looking at the attributes of brands (functional/traits/values) and, in a survey, asks for the importance of each in a buying decision for a certain product.
I could see these things as different variables or as a within-subject factor. I'm leaning towards the latter, because A) they're all measured on the same Likert scale and B) he wants to compare the means of each category. But what, generally speaking, determines whether to see something as a within-subject factor or as different DVs?
Something I came across when helping a colleague out. I can conceptualize one 'grouping' of his data as a within-subject factor or as different dependent variables. He's looking at the attributes of brands (functional/traits/values) and, in a survey, asks for the importance of each in a buying decision for a certain product.
I could see these things as different variables or as a within-subject factor. I'm leaning towards the latter, because A) they're all measured on the same Likert scale and B) he wants to compare the means of each category. But what, generally speaking, determines whether to see something as a within-subject factor or as different DVs?