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Repeated Measures Analysis of Variance

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Title: Repeated Measures Analysis of Variance


1
Repeated Measures Analysis of Variance
  • Chapter 18

2
Repeated Measures
  • With the dependant measures t-test, we defined a
    repeated measure design as one that took multiple
    observations from each subject

3
Repeated Measures ANOVA
  • With the one-way ANOVA, we had 2 sources of
    variability
  • Variability between groups
  • Variability within groups
  • With the repeated measures ANOVA, we now have a
    3rd source of variance
  • individual differences between subjects
  • SStotal SSbetween SSerror SSsubjects

4
Formulas
  • SSTOTAL ?X2total - (?Xtotal)2
  • Ntotal
  • SSBetween (?X1)2 (?X2)2 .. (?Xk)2 -
    (?Xtotal)2
  • n1
    n2 nk Ntotal
  • SSSubjects ? (?XS)2 - (?Xtotal)2
  • k Ntotal
  • SSERROR SSTOTAL - SSBetween - SSSubjects

5
Formulas
  • dftotal N-1
  • dfbetween k - 1
  • k is the number of conditions
  • dfsubjects s-1
  • s is the number of subjects
  • dferror (k-1)(s-1)

6
Sums of Squares Example
  • We are interested in the effect of mediation on
    individuals stress levels. We measure the stress
    levels of 4 people 1 week before mediation
    training, during the week long mediation
    training, and 1 week after.
  • Compute SStotal SSbetween SSerror SSsubjects

7
Assumptions
  • Normality
  • Homogeneity of Variance
  • The relationship between the different conditions
    is constant
  • This is a often violated assumption
  • Use the Geisser-Greenhouse correction
  • We adjust our degrees of freedom, so we use a
    more conservative critical value
  • Use F?(1, n-1) to look up the critical value
    where n is the number of observations in a group

8
Advantages Disadvantages
  • Advantages
  • It separates subject differences from error which
    gives us a more powerful test
  • Disadvantages
  • Carry over effects from one condition to the next
  • We can potentially alleviate this concern by
    counterbalancing the order in which we present
    the conditions

9
Example
  • We are interested in whether wearing a uniform
    affects students school satisfaction. We measured
    the school satisfaction of individuals 3 months
    before a dress code was enacted, while the dress
    code was in effect and 3 moths after it was
    repealed.
  • Conduct a repeated measures ANOVA (? .05) and
    Tukeys HSD test

10
EXAM 3
  • Exam 3 is Monday 2/26 at 600pm in Morton 235
  • The help session is Sunday 2/25 from 600pm to
    730pm in Porter 102
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