I'm a bit (actually, totally) confused with SPSS ordinal regression output.
Let say we have dependent variable score=1,2,3,4,5 (higher is better) and one predictor gender=male,female.
We run Ordinal regression and get parameter "Estimate" for male=1.
1 is log-odds, so odds ratio (OR) is 2.7
What does it mean? Being male causes to get 2.7 times HIGHER chance to get higher score compare to being female, or LOWER?
Different resources I found in the internet give opposite interpretation (i.e. OR=EXP(B) or OR=EXP(-B) or I can't correctly interpret them…
Best Answer
In ordinal regression, the odds ratio tells you the odds of being in the higher levels of the dependent ordinal variable (relative to being in or below a given level) for a one unit change in the predictor variable. In your case a 1-unit change in the predictor variable means being a male. Hence, the interpretation of your result would be "Being a male increases the odds of being in the higher levels of the dependent variable by a factor of 2.7 (or 2.7 times). For additional explanation, you can check http://www.ats.ucla.edu/stat/stata/output/stata_ologit_output.htm.