I'm evaluating a survey regarding opinions. Now I check for relations/similarities between the variables.
My German workbook names the following condition for a Spearman rank correlation without further explanation:
"At least one variable is ordinal-scaled and/or not normally distributed."
But when I look at how Spearman rank correlation works, it only makes sense to use the test if both variables are at least ordinal-scaled.
Why does the German workbook tell otherwise? Is there something I am missing?
Now I'm looking for another appropriate test to test relations between the variables with the following properties:
- not normally distributed
- variable a: dichotomous or categorical (>2 categories)
- variable b: ordinal scaled or continuous.
I considered Mann Whitney U test and Kruskall-Wallis test. Are there more appropriate tests to identify relations between the variables?
And can I use the same tests for testing relations between the independent and dependent variables?