I am currently working with survey data, and I'm a bit at a loss as to how to test for strength of association between categorical responses across questions.
The data in question is in this format:
Q01 Q02 Q03 Q04 Q05 1 Agree Agree Neutral Agree Disagree 2 Agree Agree Neutral Disagree Neutral 3 Agree Neutral Disagree Disagree Agree 4 Agree Neutral Disagree Agree Neutral 5 Agree Agree Neutral Agree Neutral
I have 18 questions with 472 respondents, all questions on the same scale ("Agree/Neutral/Disagree"). One of the things I'd like to know is how well correlated are responses of specific categories across questions: for example, how correlated is an "Agree" on Q1 with an "Agree" on Q2, etc.
Anyone mind giving me a "nudge" on the right path to go down? I believe I need to use Cramer's V in this situation (and implement it in
R with the
vcd package), but I'd like to make sure I'm on the right path.