Repeated measures ANOVA - Revision history

wikademia>Wikademia: moved Alpha:Repeated measures ANOVA to Repeated measures ANOVA over redirect

2009-08-19T04:31:00Z

moved Alpha:Repeated measures ANOVA to Repeated measures ANOVA over redirect

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wikademia>Wikademia: moved Repeated measures ANOVA to Alpha:Repeated measures ANOVA

2009-06-08T19:33:46Z

moved Repeated measures ANOVA to Alpha:Repeated measures ANOVA

← Older revision	Revision as of 19:33, 8 June 2009
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wikademia>Wikademia at 07:49, 15 April 2009

2009-04-15T07:49:43Z

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	The purpose of this tutorial is teach the use of '''repeated measures ANOVAs''', including one-way repeated measures, 2-way within-subjects ANOVA, and mixed designs. Practical exercises are based on using [[SPSS]].		The purpose of this tutorial is teach the use of '''repeated measures ANOVAs''', including one-way repeated measures, 2-way within-subjects ANOVA, and mixed designs. Practical exercises are based on using [[SPSS]].
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	==Overview==		==Overview==
	The '''repeated measures design''' is also known as a '''within-subject design'''. In this design, participants may present scores for:		The '''repeated measures design''' is also known as a '''within-subject design'''. In this design, participants may present scores for:

wikademia>Wikademia: Text replace - 'w:' to 'Wikipedia:'

2009-04-11T18:18:38Z

Text replace - 'w:' to 'Wikipedia:'

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	==Overview==		==Overview==
	The '''repeated measures design''' is also known as a '''within-subject design'''. In this design, participants may present scores for:		The '''repeated measures design''' is also known as a '''within-subject design'''. In this design, participants may present scores for:
	# A measure repeated over '''''time'''''<br>(e.g., [[w:Self-confidence\|self-confidence]] before, after, and following-up a psycho-social intervention), and/or		# A measure repeated over '''''time'''''<br>(e.g., [[Wikipedia:Self-confidence\|self-confidence]] before, after, and following-up a psycho-social intervention), and/or
	# A measure repeated cross more than one '''''condition'''''<br>(e.g., experimental and control conditions), and/or		# A measure repeated cross more than one '''''condition'''''<br>(e.g., experimental and control conditions), and/or
	# Several related, comparable measures<br>(e.g., sub-scales of an [[IQ]] test).		# Several related, comparable measures<br>(e.g., sub-scales of an [[IQ]] test).
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	==Assumptions==		==Assumptions==
	Most of the assumptions for between-subjects ANOVA design apply, however the key variation is that instead of the '''homogeneity of variance assumption''', repeated-measures designs have the assumption of '''Sphericity''' which means that the variance of the population difference scores for any two conditions should be the same as the variance of the population difference scores for any other two conditions.		Most of the assumptions for between-subjects ANOVA design apply, however the key variation is that instead of the '''homogeneity of variance assumption''', repeated-measures designs have the assumption of '''Sphericity''' which means that the variance of the population difference scores for any two conditions should be the same as the variance of the population difference scores for any other two conditions.
	# Tested by [[w:Mauchly's sphericity test\|Mauchly's sphericity test]].		# Tested by [[Wikipedia:Mauchly's sphericity test\|Mauchly's sphericity test]].
	# When the significance level of Mauchly’s test is < 0.05 then sphericity cannot be assumed.		# When the significance level of Mauchly’s test is < 0.05 then sphericity cannot be assumed.
	# Note: the sphericity assumption is only relevant to the univariate (one-way) RM ANOVA. This assumption is commonly violated and so it is generally not recommended to use the univariate analyses – the ''p''-values tend to be inaccurate to the extent that this assumption is violated. The alternative, a multivariate test, does not require the assumption of sphericity and is therefore recommended. The multivariate test is conducted on difference scores and evaluates whether the population means for the sets of difference scores are simultaneously equal to zero.		# Note: the sphericity assumption is only relevant to the univariate (one-way) RM ANOVA. This assumption is commonly violated and so it is generally not recommended to use the univariate analyses – the ''p''-values tend to be inaccurate to the extent that this assumption is violated. The alternative, a multivariate test, does not require the assumption of sphericity and is therefore recommended. The multivariate test is conducted on difference scores and evaluates whether the population means for the sets of difference scores are simultaneously equal to zero.
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	==See also==		==See also==
	* [[Mixed-design ANOVA‎]]		* [[Mixed-design ANOVA‎]]
	* [[w:Repeated measures design\|Repeated measures design]] (Wikipedia)		* [[Wikipedia:Repeated measures design\|Repeated measures design]] (Wikipedia)
	* [[w:Sphericity#Sphericity in statistics\|Sphericity]] (Wikipedia)		* [[Wikipedia:Sphericity#Sphericity in statistics\|Sphericity]] (Wikipedia)

	==External links==		==External links==

wikademia>Wikademia at 05:34, 11 April 2009

2009-04-11T05:34:07Z

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	The purpose of this tutorial is teach the use of '''repeated measures ANOVAs''', including one-way repeated measures, 2-way within-subjects ANOVA, and mixed designs. Practical exercises are based on using [[SPSS]].		The purpose of this tutorial is teach the use of '''repeated measures ANOVAs''', including one-way repeated measures, 2-way within-subjects ANOVA, and mixed designs. Practical exercises are based on using [[SPSS]].
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wikademia>Wikademia: moved Advanced ANOVA/Repeated measures ANOVA to Repeated measures ANOVA

2009-04-06T06:56:45Z

moved Advanced ANOVA/Repeated measures ANOVA to Repeated measures ANOVA

← Older revision	Revision as of 06:56, 6 April 2009
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wikademia>Wikademia: 49 revisions

2009-04-06T06:56:21Z

49 revisions

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88.192.37.9: /* Why use? */

2009-01-03T18:01:30Z

Why use?

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	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'''.		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'''.

	==Why use?==		==Why to use?==
	By collecting data from the same participants under repeated conditions:		By collecting data from the same participants under repeated conditions:
	* Individual differences can be reduced/eliminated as a source of between-groups differences (which helps to create a more powerful test).		* Individual differences can be reduced/eliminated as a source of between-groups differences (which helps to create a more powerful test).

wikademia>Jtneill: Category:{{BASEPAGENAME}}

2008-12-03T00:14:19Z

[[Category:{{BASEPAGENAME}}]]

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	The purpose of this tutorial is teach the use of '''repeated measures ANOVAs''', including one-way repeated measures, 2-way within-subjects ANOVA, and mixed designs. Practical exercises are based on using [[SPSS]].		The purpose of this tutorial is teach the use of '''repeated measures ANOVAs''', including one-way repeated measures, 2-way within-subjects ANOVA, and mixed designs. Practical exercises are based on using [[SPSS]].
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	===Effect sizes===		===Effect sizes===
	* [http://wilderdom.com/301/Cohensd.xls Cohensd.xls]		* [http://wilderdom.com/301/Cohensd.xls Cohensd.xls]
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wikademia>Jtneill: Research methods and professional ethics/Repeated measures ANOVA moved to Advanced ANOVA/Repeated measures ANOVA

2008-12-02T23:34:17Z

Research methods and professional ethics/Repeated measures ANOVA moved to Advanced ANOVA/Repeated measures ANOVA

← Older revision	Revision as of 23:34, 2 December 2008
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