I administered a customer service satisfaction survey and one of the questions is a check-all-that-apply asking respondents to check the boxes for the services that they liked most (medical assistance, linkage to medical doctor, housing assistance, therapy, and additional funds). I'd like to test whether there are any differences in counts of responses as a function of age group (55-60, 61-65, 66-70, 71+), i.e. whether certain choices are significantly more likely to be checked by one age group compared to another.
I entered each of the 6 response choices as a separate variable in SPSS, with each answer coded as either 0 (no for no check mark) or 1 (yes for a check mark) for each of the above six response variables.
Would it be appropriate to run six separate 4 (55-60, 61-65, 66-70, 71+) x 2 (yes, no) chi-square tests for independence for each of the six categories? Or, can I just run a test on the counts of the "yes" responses across the six categories by age group as reflected in the following table:
Insight into how to approach this in general and in SPSS in particular will go a long way.