True, or false? a. One reason it is usually wise to treat an ordinal variable with methods that use the ordering is that in tests about effects, chi-squared statistics have smaller df values and tend...

True, or false?

a. One reason it is usually wise to treat an ordinal variable with methods that use the ordering is that in tests about effects, chi-squared statistics have smaller df values and tend to be more powerful.

b. The cumulative logit model assumes that Y is ordinal; it should not be used with nominal Y . The baseline-category logit model treats Y as nominal; it can be used with ordinal Y , but it then ignores the ordering.

c. If political ideology is mainly in the moderate category in New Zealand and mainly in the liberal and conservative categories in Australia, models with the proportional odds assumption should fit well for comparing these countries.