Repeated measures ANOVA: Difference between revisions

Revision as of 21:00, 13 August 2008

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Resource type: this resource contains a tutorial or tutorial notes.

Overview

The repeated measures design is also known as a within-subject design. In this ANOVA design, participants present scores for each of the conditions in the study. These repeated conditions may include the same measure repeated over time, or across conditions for each participant, or it may involve the measure and comparison of several related factors for each participant.

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.

External links

University of Canberra

Repeated measures ANOVA (ucspace)
- Repeated measures ANOVA Notes (Handout)

Other

Chapter 14 Within-Subjects ANOVA (HyperStat Online)

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+==Overview==
+The '''repeated measures design''' is also known as a '''within-subject design'''. In this ANOVA design, participants present scores for each of the conditions in the study. These repeated conditions may include the same measure repeated over time, or across conditions for each participant, or it may involve the measure and comparison of several related factors for each participant.
 ==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.