Repeated measures ANOVA: Difference between revisions
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==Assumptions== | ==Assumptions== | ||
* '''Sphericity''': Instead of the homogeneity of variance assumption (which is part of one-way (between-subjects) and factorial ANOVA designs, repeated-measures designs have the assumption of sphericity, tested by Mauchly's test. | * '''Sphericity''': Instead of the homogeneity of variance assumption (which is part of one-way (between-subjects) and factorial ANOVA designs, repeated-measures designs have the assumption of sphericity, tested by [[w:Mauchly's sphericity test|Mauchly's sphericity test]]. | ||
==See also== | ==See also== | ||
Revision as of 21:09, 13 August 2008
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Overview
The repeated measures design is also known as a within-subject design. In this design, participants may present scores for:
- the same measure repeated over time (e.g., GPA in first, second, and third year), and/or
- across more than one condition (e.g., experimental and control conditions), and/or
- several related and comparable factors (e.g., sub-scales of an IQ test).
Assumptions
- Sphericity: Instead of the homogeneity of variance assumption (which is part of one-way (between-subjects) and factorial ANOVA designs, repeated-measures designs have the assumption of sphericity, tested by Mauchly's sphericity test.
See also
- Sphericity (Wikipedia)
External links
University of Canberra
- Repeated measures ANOVA (ucspace)
- Repeated measures ANOVA Notes (Handout)
Other
- Chapter 14 Within-Subjects ANOVA (HyperStat Online)