Contents
What is RM two-way ANOVA?
Two-way ANOVA, also called two-factor ANOVA, determines how a response is affected by two factors. “Repeated measures” means that one of the factors was repeated. For example you might compare two treatments, and measure each subject at four time points (repeated).
Is a repeated measures ANOVA the same as a factorial ANOVA?
A factorial repeated measures ANOVA (or two-way repeated measures ANOVA) is quite similar to a factorial ANOVA with the difference that there is dependency between groups in the data set like in a repeated measures ANOVA.
What is a factorial ANOVA?
Factorial analysis of variance (ANOVA) is a statistical procedure that allows researchers to explore the influence of two or more independent variables (factors) on a single dependent variable. Second, factorial ANOVAs are a more powerful test because they reduce potential error variance.
Is ANOVA Factorial?
When to use factorial ANOVA or repeated measures ANOVA?
It depends whether the EEG frequencies relate to the same subject or different subjects. For the former use repeated measures, for the latter use factorial. Enhancing Peter’s answer, if you have a within subjects factor (like repeated measurements from the same subject) then you should perform a version of RM-ANOVA.
When to use RM-ANOVA or RM-mixed ANOVA?
Enhancing Peter’s answer, if you have a within subjects factor (like repeated measurements from the same subject) then you should perform a version of RM-ANOVA. If you have a between subjects factor (like different groups) then you should perform an ANOVA (may be factorial). If you have both, that ANOVA is called mixed.
How to use the LM function in factorial ANOVA?
For this, we will use the lsmeans package. The linear model under consideration is called model, created the lm function above. The formula in the lsmeans function indicates that pairwise comparisons should be conducted for the variable Country in the first call, and for the variable Diet in the second call.
What’s the problem with 2 x 2 mixed factorial ANOVA?
The particular analysis/design in question is a 2 x 2 between-within (i.e., mixed design, repeated measures + between measure, etc.) factorial ANOVA. The problem I’m having (or maybe it isn’t one?) is when I check for violations of the sphericity assumption.