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Slide 1
Mixed ANOVA (GLM 5)
Chapter 15
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Slide 2
Mixed ANOVA
• Mixed:– 1 or more Independent variable uses the
same participants– 1 or more Independent variable uses
different participants
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Slide 3
An Example: Speed Dating
• Is personality or looks more important?– IV 1 (Personality): High Charisma, Some Charisma,
Dullard
– IV 2 (Gender): Male or Female?
• Dependent Variable (DV): P’s rating of the date– 100% = The prospective date was perfect!
– 0% = I’d rather date my own mother
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SPSS
• Analyze > General Linear Model > Repeated Measures
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SPSS
• Enter repeated factor
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SPSS
• Move over the RM variables in the within subjects variables
• Move over the between subjects variables
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SPSS
• Plots– Move over the variables and hit add– (remember you can get two of them to see the
interaction if it exists)
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SPSS
• Click post hoc– Move over the variable– Click your favorite post hoc– This analysis will only give you the main effect for
the between subjects (and here we don’t actually need it because we only have two levels, but you would normally).
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SPSS
• Click options– Move the variables over– Click compare main effects (pick an option)• Remember LSD is no correction• This section gives us the main effect analysis for the
repeated factor
– Click descriptives, effect size, homogeneity
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SPSS
• Hit ok!
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Output
Gives you the order of your levels for both types of variables.
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Output
Gives you the means for each repeated and between subjects variables.
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Output
Box’s = multivariate homogeneity, akin to Levene’s. You will ignore this box if you arenot doing a multivariate test.
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Output
Gives you the MANOVA, again you’ll ignore it if you are not doing multivariate test.
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Output
Sphericity for your repeated measures variables only.
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Output
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Output
• Main effect of charisma: • F(2, 36) = 328.25, p <.001, partial n2 = .95
• Interaction of charisma & gender:• F(2, 36) = 62.45, p <.001, partial n2 = .78
• The within subjects box will only have repeated measures factors or interactions with repeated measures factors.
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Output
Contrasts if you wanted them.
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Output
Levene’s test for your between subjects variable – you’ll get one for each RM level.
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Output
Now you need to use the between subjects box.Main effect of Gender: F(1, 18) = .01, p = .95, partial n2 <.01
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Output
You may get pairwise comparisons box but remember only two levels = no post hoc.
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Output
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Output
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Output
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Output
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Output
• Simple effect analysis– Post hoc test now depends on the direction you
decide to analyze.– Same basic rules:• Go with the hypothesis• Or the smaller number of levels
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OutputHigh Average Low
Male Repeated Measures
Female Repeated Measures
Between Subjects
Between Subjects
Between Subjects
• Since gender has a smaller number of levels, we can see if gender affects ratings for each type of charisma
• That’s going to be independent t because we are comparing the between subjects levels.
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Output
• Analyze > compare means > independent t-test
• Move over the between subjects IV into the grouping box.
• Move over all the levels of the RM factor into the test variables box.
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Output
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Output
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Output
• High and low charisma are significant.– Look at the means, so you can tell what
happened.
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Output
• Still want to correct for multiple comparisons• Bonferroni = .05 / 3 = .0167– Since it’s Bonferroni – look at sig to determine if
it’s significant after correction.
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Effect Size
• ANOVAs = partial eta squared, R squared, omega squared
• Post hoc tests = Cohen’s d, Hedges g, Glass’ delta
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Write ups
• Need to include– Type of ANOVA – Main effect F values (2 of them)– Interaction F values– Type of post hoc and correction– Post hoc values – Figure / means and SD