Let's say you've got data of many
paired cases of two ordinal variables, like you might when you ask a large
number of people the same two Likert scale questions (e.g. "poor",
"fair", "good", "very good",
"excellent").
What could you learn from the data
from those two questions?
Here's a few common approaches:
1) Compare the means of each
variable by abusing a t-test.
2) Compare the distribution of
each variable with a chi-squared goodness-of-fit test.
3) Check for a relationship
between responses of each variable with a chi-squared independence test.
4) Estimate the strength of such a
relationship with a Spearman correlation.