calculate degrees of freedom for factorial anova

Studies that investigate either (1) changes in mean scores over three or more time points, or (2) differences in mean scores under three or more different conditions. We can analyse data using a repeated measures ANOVA for two types of study design. The dependent variable needs to be continuous (interval or ratio) and the independent variable categorical (either nominal or ordinal).

This particular test requires one independent variable and one dependent variable. There are many complex designs that can make use of repeated measures, but throughout this guide, we will be referring to the most simple case, that of a one-way repeated measures ANOVA. All these names imply the nature of the repeated measures ANOVA, that of a test to detect any overall differences between related means. A repeated measures ANOVA is also referred to as a within-subjects ANOVA or ANOVA for correlated samples. Repeated measures ANOVA is the equivalent of the one-way ANOVA, but for related, not independent groups, and is the extension of the dependent t-test.

Calculate degrees of freedom for factorial anova