I have data on student graduation (1 = graduated, 0 = not graduated), as well as student gender and whether or not they were diagnosed with a disorder (categorical variable where it can be none, mild, moderate, or severe).
Using R studio to analyze data and get Odds Ratios:
outputx<- svyglm(GRADUATE~GENDER+DISORDER, family = quasibinomial, data=SCHOOL, design = SWSCHOOL, maxit=100) summary(outputx) odds.ratio(outputx)
This provides the following:
OR 2.5% 97.5% P (intercept) 0.01 0.007 0.0317 < 2.2e-16 GENDERFemale 4.31 2.08 16.61 <001269 DISORDERMild 0.84 0.33 2.26 0.604 DISORDERMed 1.18 0.954 3.18 0.085 DISORDERSev 0.48 0.234 0.91 0.048
I don't understand how the odds relate to the reference group for the independent variables.
Is it saying people who graduate are 4.31 more likely to be female compared to people who did not graduate?
Or is it saying people who are female are 4.31 more likely to graduate compared to males?
Ditto for the disorder variable - what does the 0.48 mean in relation to the reference group for "no disorder" here? It seems like it has no interpretation.