What Statistical Test to use to determine significant difference between ordinal variables pre and post intervention I have a variable that has 4 levels low, med, high, very high. The variable is from two time points, in 2013 and 2019, assessed using the same survey on the same subject/study individuals. I'm struggling to figure out exactly how to compare these. Is there a way to compare the variables as a whole? or do I compare the individual levels eg high 2013 vs high 2019? and what test would be best?
180 subjects, and the counts were recorded at each of the 4 levels eg:
2013 cleanliness: low=20 med=40 high=90 very high=30   and
2019 cleanliness: low=10 med=80 high=70 very high=20
I was considering a chi square test, but they aren't independent.
paired T test is likely also a no go?
Please correct me if I'm wrong.

If I am understanding your question correctly, you could think of this in terms of a multinomial logistic regression with repeated measurements.  If you used a cumulative logit link function you would have one have one regression parameter to interpret for 2019 vs 2013.  If you used a generalized logit you would have a separate 2019 vs 2013 comparison for each level: low, med, high, very high. Using standard software the test and confidence interval method would be a Wald test on the cumulative or generalized logit scale that accounts for the correlation between repeated measurements on the same subject.
