In situations where the dependent measure has only two or three values,most researchers will not use a parametric test.

Question

Quizplus · Accepted Answer

When the dependent measure has only two or three values, it is often categorical or nominal in nature, and does not meet the assumptions of normality and homogeneity of variance required for a parametric test. Therefore, non-parametric tests such as chi-square, Fisher's exact test or Mann-Whitney U test are more appropriate for analyzing such data.

In Situations Where the Dependent Measure Has Only Two or Three