Repeated measures ANOVA: Difference between revisions

Revision as of 21:14, 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 design, participants may present scores for:

The same measure repeated over time
(e.g., Self-confidence before, after, and following-up a psycho-social intervention), 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).

The repeated-measures design can also be understood as an extension of the paired-samples t-test to include comparison between more than two repeated measures.

Repeated-measures designs may also be combined with between-subjects factors to create mixed-designs, and multiple repeated-measures designs can also be tested using MANOVA.

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.

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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@@ Line 4: / Line 4: @@
 ==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<br>(e.g., [[w:Self-confidence|Self-confidence]] before, after, and following-up a psycho-social intervention), and/or
+# The same measure repeated over '''''time'''''<br>(e.g., [[w:Self-confidence|Self-confidence]] before, after, and following-up a psycho-social intervention), and/or
-# Across more than one condition<br>(e.g., experimental and control conditions), and/or
+# Across more than one '''''condition'''''<br>(e.g., experimental and control conditions), and/or
-# Several related and comparable factors<br>(e.g., sub-scales of an [[IQ]] test).
+# Several related and comparable '''''factors'''''<br>(e.g., sub-scales of an [[IQ]] test).
+The repeated-measures design can also be understood as an extension of the '''paired-samples t-test''' to include comparison between more than two repeated measures.
+Repeated-measures designs may also be combined with between-subjects factors to create mixed-designs, and multiple repeated-measures designs can also be tested using MANOVA.
 ==Assumptions==