Repeated Measures One-way ANOVA

Authors

Affiliations

Nate Yomogida, B.S., SPT

Doctor of Physical Therapy

B.S. in Kinesiology

Chloë Kerstein, B.S., SPT

Doctor of Physical Therapy

B.A. in Neuroscience

One-way vs Repeated One-way

The difference between ordinary and repeated-measures ANOVA is the same as the difference between the unpaired and paired t tests¹.

When to Use

Repeated measures ANOVA should be applied in three kinds of experiments:

1. Multiple measurements in multiple groups: Measurements are made repeatedly for each subject, perhaps before, during, and after an intervention, and these repeated measurements make up the groups being compared by ANOVA¹.
2. Matched sets (AKA Blocks): Subjects are matched for variables (i.e. age, postal code, or diagnosis) and each subject in the set receives a different intervention (or placebo)¹.
3. Multiple treatments performed sequentially or parallel: Experiment performed several times with different interventions (or a control and several treatments) handled in parallel¹.

References

1.

Motulsky H. Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking. 4th ed. Oxford University Press; 2018.