One way repeated measures ANOVA Flashcards
What does a one-way repeated measures ANOVA analyse?
The one-way repeated measures ANOVA analyses the variance of the model while reducing the error of the within-person variance. It consists of one independent variable which uses the same entities and one dependent variable which is continuous.
What are the assumptions of the one-way repeated measures ANOVA
Same as the one way independent ANOVA, but also the assumption of sphericity; the variances of the difference scores between all conditions of the repeated measurement are equal i.e the variances within groups is equal to each other
What is used to test for this assumption?
Mauchly’s test of sphericity
What does local sphericity refer to?
Local sphericity refers to when some conditions have equal variance and some do not.
What is the consequences of not meeting the assumption of sphericity ?
Loss of power
What is important in sphericity is not assumed?
epsilon
What are the outcomes based on the epsilon?
If the epsilon is greater than 0.7, then the Greenhouse- Geiser value becomes important. If the epsilon is not greater than 0.7, then it should be checked whether n > a + 10. If this is the case, a MANOVA should be used.
what happens if n > a + 10 is not the case?
Greenhouse- Geiser value becomes important
What outcomes can come of the Greenhouse- Geiser value?
If the Greenhouse-Geiser value is greater than 0.75, then the Huyn-Feldt correction should be used in the calculation of the F-statistic. If the Greenhouse-Geiser value is not greater than 0.75, then the Greenhouse-Geiser correction should be applied.
In one-way repeated measures ANOVA calculations, what does ni mean?
number of observations per person
In one-way repeated measures ANOVA calculations, what does k mean?
number of conditions
In one-way repeated measures ANOVA calculations, what does N mean?
Number of data points (n*K)
