I have two ordinal values on a 5 point Likert scale, let's say "Would you like flowers?" and "Would you like to go out to dinner with me?". My hypotheses is that there is a relationship between the two, i.e. people who would like flowers would also like to go out for dinner with me.
I can perform a Spearman's correlation to between ordinals to determine whether a relationship exists - that's all well and good (I hope). Then I can recode the Likert scale in a nominal Yes / No value using 'Agree' and 'Strongly Agree' as a 'Yes' and 'Strongly disagree', 'Disagree' and 'Neither' as a 'No'. Once that's done, I can then perform a chi-square test to determine whether this is a significant association. In effect I'm trying to test the efficacy of giving flowers for more dinner dates.
My question is whether this a good approach to test my hypotheses, using the correlation test to determine a relationship and then confirming the strength of the association?
Thanks in advance.