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# 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).


Repeated-measures designs 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 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 '''MANOVAs'''.
Repeated-measures designs may also be combined with between-subjects factors to create mixed-design ANOVA. Multiple repeated-measures designs can also be tested using '''MANOVAs'''.


==Assumptions==
==Assumptions==

Revision as of 21:18, 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:

  1. The same measure repeated over time
    (e.g., self-confidence before, after, and following-up a psycho-social intervention), and/or
  2. Across more than one condition
    (e.g., experimental and control conditions), and/or
  3. Several related and comparable factors
    (e.g., sub-scales of an IQ test).

Repeated-measures designs 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-design ANOVA. Multiple repeated-measures designs can also be tested using MANOVAs.

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

University of Canberra

Other

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