What Is a Post Hoc Test?

When con­duct­ing mul­ti­ple sta­tis­ti­cal tests simul­ta­ne­ous­ly, there’s an increased risk of Type I errors, or false­ly reject­ing the null hypoth­e­sis. To avoid this prob­lem, we must use post hoc tests. These help us under­stand the nature of ANO­VA results show­ing sig­nif­i­cant dif­fer­ence or a sig­nif­i­cant inter­ac­tion effect between fac­tors. Learn the com­mon types of post hoc tests and when they are appro­pri­ate to use.