A two-way ANOVA differs from a one-way ANOVA in that _____.
A) Post hoc comparisons are completed as a part of the initial test
B) It requires an assumption of normality
C) It examines possible interaction effects among two independent factors
D) It examines possible interaction effects among two or more dependent variables
E) It allows an examination of ordinal data

Question

Quizplus · Accepted Answer

A two-way ANOVA examines the possible interaction effects between two independent factors, whereas a one-way ANOVA only examines the effect of one independent factor. Post hoc comparisons may be completed after the initial test, but they are not a necessary part of the test. Normality is an assumption for all ANOVA tests. A two-way ANOVA does not examine multiple dependent variables, but it does allow for the examination of multiple levels of the independent variables. Ordinal data can be analyzed using ANOVA, but it may not be the best statistical test for this type of data.

A Two-Way ANOVA Differs from a One-Way ANOVA in That