I have data from a study where subjects were shown videos and asked to identify the contents as one of two options, as well as to rate their confidence of correct classification on a likert scale of 1 to 7. Each subject was asked to perform this classification task multiple times, and given different video material each time.
I am using mixed logit because I think this data is categorical. I am encoding it as each choice situation having 14 alternatives.
That is, the subject identifies the content as type 1 or type 2 then provides a rating of their confidence from 1 to 7, so I view that as 2 * 7 = 14 alternatives of which only 1 may be given as the answer.
Does this seem a reasonable approach? Or is this an inappropriate way to use mixed logit estimation?
I'm new to discrete choice methods, and my general statistical knowledge is rusty, so I welcome reading recommendations. Thanks very much for your time!