Hi SAS Community,
I need to embark on some data analyses but am at a loss as to what makes the most sense. Hopefully, you bright minds can shed some light. It is a repeated measures design (participants are assessed at two time points). My outcome of interest is dichotomous (low need vs. high need). I have 9 independent variables: sex (male/female), age (will be treating this as categorical in analysis with 3 groupings), agency type and 6 continous measures on a variety of personality traits. What I am interested in answering are the following 3 questions:
1) Is there a difference in the outcome variable between Time 1 and Time 2? --> Was thinking a McNemar test, but open to suggestions.
2) Are sex, age, agency type and the personality indicators predictive of higher need?
3) How does data at the agency level (will be pulling data from one of the agency types on all 9 independent variables) compare to the whole picture?
It's questions 2 and 3 that are causing me the most grief. Not sure what is the best way to answer my research questions while being sensitive to the fact there is independence in observations between two time points. Any suggestions would be greatly appreciated.
If there are any questions to help clarify, please feel free to ask.
Thank you in advance!
