Mixed Model ANOVA (Analysis of Variance) Simply explained
What is a Mixed Model ANOVA? What are the hypotheses and assumptions? And how to interpret the results of a Mixed Model ANOVA? This is what we discuss in this video!
A Mixed Model ANOVA is a statistical method used to analyze data that involve both between-subjects factors and within-subjects factors.
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0:00 What is a Mixed Model ANOVA?
3:50 What are the hypotheses in a Mixed Model ANOVA?
4:45 What are the assumptions in a Mixed Model ANOVA?
6:40 Example of a Mixed Model ANOVA.
7:26 How to calculate and interpret a Mixed Model ANOVA?
Пікірлер: 11
Thank you for this simplified explanation.
@datatab
3 ай бұрын
Glad it was helpful!
Super straightforward explanations, thank you. I'd also like to request sources for additional reading, if possible.
nicely explained, life saver
@datatab
2 ай бұрын
Glad it helped!
So, two-way RM ANOVA is used when I have two within-subject factors, while Mixed Model ANOVA is used when I have one within-subjects and one between-subjects factor?
what would be the counterpart of this test for not normally distributed data?
If my study design has only two treatment arm groups, could I use mixed model ANOVA to calculate mean difference across followed up period.
@flowstateofmind2380
2 ай бұрын
Or May I use linear mixed model ?
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Madam.............I have a question........for performing Mixed ANOVA, I need to prepare 3 hypotheses at a time? or any one as per my requirement I need to formulate the hypothesis?