Factorial ANOVA
Consider empathy scores (“measured” on a 0-30 pt. scale) for managers with three
different conflict resolution styles (turtles, sharks, owls; or hide in a shell, attack, use
wisdom). Is there an interaction between these styles and gender with regard to selfreported levels of empathy?
Turtles
Male
Female
15
17
18
16
16
19
17
17
12
13
13
12
11
14
16
13
Sharks
Male
Female
6
8
8
7
9
8
6
9
9
10
11
11
12
13
10
12
Owls
Male
Female
19
19
25
24
23
20
21
22
25
24
23
24
22
24
23
23
1. Enter the data into SPSS and obtain a table of descriptive statistics.
2. Conduct a 2x3 ANOVA and report the results for the interaction and main effects.
3. Interpret any results that are statistically significant. The interaction is indeed
significant, and you’ll need a graph of the means to drive your interpretation.
4. Compute and interpret partial eta-squared for the significant results.
5. Follow up the interaction using a simple-main-effect breakdown. You’ll find the
syntax for the jealousy example on the website. Edit the syntax for this problem
being sure to test gender differences within styles (in other words, test males vs.
females for each style). Use a Bonferroni adjustment for determining significance,
and compute partial eta-squared for each effect. Interpret the results.
6. Follow up the interaction by constructing one interaction contrast based on the
graph of the means. Editing the syntax on the course website, test the interaction
contrast for statistical significance using an alpha of .05. Compute and interpret
partial eta-squared.
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