Hi everyone,
I would like to assess the correlation between a 7-category ordinal variable (X) and a number of other variables some of which are ordinal with 3-6 categories, others are continuous and a couple are dichotomous. The dataset includes only 24 observations and lack of normality and tied observations are therefore issues to take into account. Would it be best to use the Kendall coefficient to assess the correlation between X and each of the other ordinal variables? If so, which one (i.e. tau-a or tau-b; I know that roger Newson favours the former)? Would it be reasonable to use Spearman as well? What would be the best test to assess the correlation with each of the dichotomous variables?
I would very much appreciate everyone's thoughts.
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