How is a 3 level repeated measure design?
It is a 3 level repeated measure design and I want to test the effects of Treatment and Time on my outcome variables. The variables are nested and not crossed, each individual belong only to 1 of the 4 experimental groups and I made 4 measurement on each individual.
How are different conditions used in repeated measures?
Where measurements are made under different conditions, the conditions are the levels (or related groups) of the independent variable (e.g., type of cake is the independent variable with chocolate, caramel, and lemon cake as the levels of the independent variable). A schematic of a different-conditions repeated measures design is shown below.
How to run post hoc tests for a repeated measures ANOVA in SPSS Statistics?
You can learn how to run appropriate post-hoc tests for a repeated measures ANOVA in SPSS Statistics on page 2 of our guide: One-Way Repeated Measures ANOVA in SPSS Statistics. The logic behind a repeated measures ANOVA is very similar to that of a between-subjects ANOVA.
When to use a repeated measures ANOVA in statistics?
A repeated measures ANOVA will not inform you where the differences between groups lie as it is an omnibus statistical test. The same would be true if you were investigating different conditions or treatments rather than time points, as used in this example.
Can a mixed model be used to analyze repeated measurements?
Many common statistical methods, such as linear regression models, should not be used in this situation because those methods assume measurements to be independent of one another. Detry MA, Ma Y. Analyzing Repeated Measurements Using Mixed Models. JAMA. 2016;315 (4):407–408. doi:10.1001/jama
What are the effects of a mixed model?
Mixed models explicitly account for the correlations between repeated measurements within each patient. The factors assumed to have the same effect across many patients are called fixed effects and the factors likely to vary substantially from patient to patient are called random effects.
Is the furthest treatment nested with ID?
So from the furthest to the nearest Treatment is nested with ID that is nested with Time (express the repeated measurement) I want to measure the interaction effect of Time and Treatment (I Expect them to be better at the end of the 4 measurement according to the treatment group they belong to and to the pass of time).