文档介绍：Two-way ANOVA
Two-way between-subjects ANOVA
Example: Beer-goggles effect
After alcohol had been consumed, subjective perceptions of physical attractiveness would e more urate
2 between-subjects IVs:
Gender: male and female
Amount of alcohol consumed: 0, 2 pints, and 4 pints
How to enter data in SPSS?
Gender: F (1, 42) = , p>.05
Alcohol consumption: F (2, 42) = , p<.001
Gender X Alcohol consumption: F (2, 42) = , p<.001
Corrected Model = Gender + Alcohol + Gender * Alcohol
Corrected Model + Error = Corrected Total
Corrected Total + Intercept = Total
Corrected Model / Corrected Total = R Squared
Interaction and main effects
Gender, p>.05
Alcohol, p<.05
Gender X Alcohol, p<.001
Main effect is justified by interaction!
Estimated marginal means
None
2 pints
4 pints
Total
Male
Female
Total
Simple main effect of Alcohol
Syntax 1:
GLM Attractiveness by alcohol gender
/EMMEANS = tables(alcohol*pare(alcohol)
Can’t see how the three levels of alcohol differed within each gender group.
Simple main effect of Alcohol
Syntax 2:
manova
attractiveness by Alcohol(1 3) Gender (0 1)
/error = within
/design = alcohol within gender(1)
alcohol within gender(2).
Simple main effect of Alcohol
2 one-way ANOVA for alcohol on each level of gender
with parisons with correction
When Gender is Male
Participant numbers were different from those used in MANOVA, so MSs of Alcohol were identical, but F values were different.