A, B, C are categorical variables. A is a dependent variable against which I would like to find if B and C have any relationship.
Suppose P-value from a Chi-square test between categorical attribute A and B comes out to be 4%, and that between A and C comes out to be 1%.
- Is it correct to say C has higher impact on A than B?
- Should P-value be treated as binary (either significant as per predefined significance level or not significant)?
- Do we know the "direction" of impact from P-value (e.g. the way we can
interpret the correlation coefficient, ~1 -> higher positive correlation &
~-1 higher negative correlation)?
- Consequently, can we rank a list of categorical variables based on the P- values with the dependent variables?
Kindly also suggest me if there are alternative ways of achieving the above objectives.
Please let me know if I need to be more clear in the question.