Two factors will be used, A has 3 levels and B has 2 levels. Thus we have a 3x2 design. The dependent variable is how many times they experienced symptoms associated with their disorder. These are self-report measures that participants have been keeping in a daily journal throughout the course of 2 months. The sample consisted of females w
FACTORIAL ANOVA
Calculate eta-squared, which is included in APA format AND Tukey's HSD (keep in mind you'll be looking at cells if there is significant interaction; if there is statistical significance but NO interaction you will looking at main effects of factor A or B or both A and B).
In the write-up report ALL 3 F's in APA format. However, if there is interaction, focus there b/c interaction means you can't talk about one factor without also talking about the levels of the second factor.
Don't forget to use eta squared so F(df,df)=Fcalculated, p < or >alpha level, eta squared
End the APA statement with a recommendation that allows a layperson reading to know the study outcome.
Two factors will be used, A has 3 levels and B has 2 levels. Thus we have a 3x2 design.
The dependent variable is how many times they experienced symptoms associated with their disorder.
These are self-report measures that participants have been keeping in a daily journal throughout the course of 2 months. The sample consisted of females who have received a diagnosis within the last 3 months, are from 16-36 years of age and are not taking any medication nor are currently in therapy.
Analyze using alpha .05
Factor A is Type of Diagnosis
a1 = depression
a2 = anxiety
a3 = impulse control
Factor B is Exercise
b1 = less than 2 hours weekly
b2 = between 2 and 4 hours weekly
I can't put b1 and b2 on the right side of the matrix, so I'm labeling cells in bold.
a1 a2 a3
|
a1b1 12 55 37 42 |
a2b1 17 39 28 16 |
a3b1 77 64 81 55 |
|
a1b2 23 12 33 28 |
a2b2 42 41 66 55 |
a3b2 9 3 14 6 |
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