# Confused with SPSS ordinal regression output

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...

• Exp(b) is how much times (i.e. the ratio) the estimated odds in the dependent variable increases when the predictor switches to male (from female). The odds is Prob(code>j)/Prob(code<=j) for any j from 1,2,3,4,5. If you choose to think of the odds as Prob(code<=j)/Prob(code>j) then exp(-b) is the same as the previous. Commented Apr 11, 2015 at 14:23
• Does "Prob(code>j)" mean "probability of having higher value of dependent variable"? Does it mean that Prob(code<=j)/Prob(code>j) equal to reverse scale (1-best, 5-worst)? Commented Apr 11, 2015 at 15:22
• Probability of having value higher than threshold j (j can be 1,2,3,4, no matter, because the effect on the log is modelled as straight, linear). Commented Apr 11, 2015 at 15:56

• The numbers tell the rank of a given level. Higher numbers indicate higher rank (i.e., a higher magnitude of the variable of interest). Therefore, for example, if you are talking about pain severity on a four-point scale ranging from 0-3 such that 0=no pain, 1=mild pain, 2=moderate pain, and 3=severe pain, then a higher level indicates any level above the first (or any other)level. ...(to be cont'd). Commented Apr 13, 2015 at 7:25