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What is mixed factorial ANOVA?
design that has a pretest and a posttest. Such a design is called a “mixed factorial ANOVA” because it is a mix. of between-subjects and within-subjects design elements. For such a 2 × 2 mixed design, the main effect for. the between-subjects factor compares the two groups overall, combining pretest and posttest scores …
Why is the repeated measures ANOVA more powerful than the between groups ANOVA?
More statistical power: Repeated measures designs can be very powerful because they control for factors that cause variability between subjects. Fewer subjects: Thanks to the greater statistical power, a repeated measures design can use fewer subjects to detect a desired effect size.
When would you use a mixed factorial ANOVA?
For example, a mixed ANOVA is often used in studies where you have measured a dependent variable (e.g., “back pain” or “salary”) over two or more time points or when all subjects have undergone two or more conditions (i.e., where “time” or “conditions” are your “within-subjects” factor), but also when your subjects …
When to use factorial ANOVA or between X between 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. Apparently, you have a two-way factorial design. This can be a ‘between x between’, ‘between x within’ (also named ‘mixed’), or ‘within x within’ (doubly repeated) factorial design.
How is the between groups factor coded in ANOVA?
The between-groups factor would need to be coded in a single column as with the independent-samples t test or the one-way ANOVA, while the repeated measures variable would comprise as many columns as there are measures as in the paired-samples t test or the repeated-measures 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.
When to use one way repeated measures ANOVA?
Comparing more than two measurements of the same or matched participants One-Way Repeated Measures ANOVA • Used when testing more than 2 experimental conditions. • In dependent groups ANOVA, all groups are dependent: each score in one group is associated with a score in every other group.