I want to create a model to examine the relationship between 7 independent variables and 1 dependent variable.
The dep var is EverRetained. Values are Y/N.
The independent vars are gender (M/F), lunchstatus (F,R,P), GTstatus (Y/N), IEPstatus (Y/N), 504status (Y/N), LEPstatus (Y/N) and RR (Y/N).
I know the type of variables determine how I should proceed but I'm sure if a regression model is appropriate. I conducted a chi square comparing the dependent var to each indep var separately. 5 of the 7 tests returned a p-value less than 0.05
A first approach that ignores any interactions would look like:
proc logistic data=yourdata;
class gender lunchstatus gtstatus iepstatus 504status rr;
model everretained(event='y') = gender lunchstatus gtstatus iepstatus 504status rr/clodds=both;
run;
However, I am sure that interactions between the independent variables exist, and should be modeled. Use your prior knowledge about which interactions are of interest.
Steve Denham
A first approach that ignores any interactions would look like:
proc logistic data=yourdata;
class gender lunchstatus gtstatus iepstatus 504status rr;
model everretained(event='y') = gender lunchstatus gtstatus iepstatus 504status rr/clodds=both;
run;
However, I am sure that interactions between the independent variables exist, and should be modeled. Use your prior knowledge about which interactions are of interest.
Steve Denham
Ok, now I'm looking for the part of the output (odds ratios?) so that I can conclude something like "males are 1.5 times more likely to be retained than females."
That would come from the odds ratios, yes.
Steve Denham
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