I have a data that consists of some "after treatment" and "before treatment" observations from some individuals.
Specifically the data looks like this:
A B C D before 10 15 4 0 after 12 12 2 3
A = not agree
B = slightly not agree
C = agree
D = definitely agree
Basically I have a group of individuals ($N=29$) who did a survey which consists of answering some questions before and after some intervention. My question is how do I test if there is difference in the "before" and "after" proportion of answering the question.
For example, for the "before" row, there are 10/29 people answers "not agree", but after the intervention, 12/29 people answers "not agree".
I was thinking of the chi-square test, but it is definitely wrong to use chi-square since the samples of "before" and "after" are coming from the same group of individuals. McNemar test won't work since I have more than 2 categories.
Could someone advise as to what test I can use?