Repeated measures ANOVA: Difference between revisions

Revision as of 21:03, 13 August 2008

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

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).

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.

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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.
+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., [[w:GPA|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==