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Each question had a respondent rate it on a 0-5 point Likert scale.

Instead, Likert scale is the name of a measurement instrument which consists of

several Likert-type items, which are summed up.

So far, all I can come up with would be desriptive stats analysis, looking at the mean score for each item

would be the median. But maybe your instructors will nevertheless accept the mean.

and seeing which has the highest mean and the highest percentage of "4" or "5" scores. However, a friend suggested an ANOVA analysis to see if there is a significant difference between any of the items. I didn't think that was possible because none of the items have a normal distribution, and technically they're not independent since the same respondents answered for each and every item.

But even if they were interval scaled, normality of the variables would not matter.

So you want to compare ordinal scaled items which have all been anwered by the

same subjects (i.e. dependent measures, as you correctely noticed). The sign test

would be appropriate for the pairwise comparisons (it'll be 190 pairwise

comparisons).

With kind regards

Karabiner

P.S.

The dependent samples t-test would be used if the variables were interval scaled.

Apart from the question whether the t-test could be used here, please keep in mind

that the dependent samples t-test requires normally distributed

variables (not normally distributed variables). Moreover, if sample size is large enough

(some say n > 30, some n > 50), the t-test is valid even if the differences are not normally

distributed in the population.