Interpreting the Results We should use post hoc tests instead of a priori tests when
A)the computed F is not significant.
B)we did not predict group differences.
C)we need to perform fewer pairwise comparisons than the number of treatment groups.
D)we want to reduce the risk of Type 2 error.

Question

Quizplus · Accepted Answer

Post hoc tests are used when we did not predict group differences beforehand and want to compare all possible pairwise combinations of treatment groups. They are not used when the computed F is not significant as this indicates that there are no significant differences between the groups, and no further testing is necessary. They are also not used solely to reduce the risk of Type 2 error, as there are other ways to address this issue (e.g., increasing sample size or using a more powerful statistical test). Finally, post hoc tests do not necessarily perform fewer pairwise comparisons than the number of treatment groups.

Interpreting the Results We Should Use Post Hoc Tests Instead