I have a question regarding my design and how to analyze.
I have 3 independent variables all consisting of 2 levels:
1 Treatment: Interpersonal treatment versus no treatment (control group) (manipulated)
2 Facebook use: excessive fb use versus No fb use (manipulated)
3 Residential status: living at parent's home versus living on your own
My dependent variable is a score on a depression scale.
Because I measure Pre and post treatment I take pre test score as a covariate.
My researchquestion is something like:
the influence of Facebook use on depressive symptoms in first year students with different residential status who receive interpersonal treatment. This led to the following hypotheses:
Hypothesis 1: Excessive Facebook use will have a larger negative effect on depressive symptoms in students living on their own then those living with their parents.
Hypothesis 2: Excessive Facebook use will have a larger negative effect on depressive symptoms compared to no Facebook use treated by interpersonal treatment in both living at home at living on their own.
(I am also not sure about these hypotheses and they may need to be restated)
So should I do a 3-way ANCOVA or planned contrast or something else?
Can some one please tell me how I should analyze this and the thought behind it. (I only need this for my research proposal assignment so I do not actually have to perform the analyses)