Hello,
I am testing the effects of four variables on a 6-point index using separate ordinal logistic regressions. Three of my variables show significant results but I am having trouble assessing which of these has the greatest effect on the probability of achieving higher ranks on my index.
I am posting my effect summaries for reference. My variable (LOG MBL Balances) exhibits the highest log-worth and highest pseudo r-squared but a slightly lower coefficient estimate than the other two variables. My other two variables (LOG assets and LOG membership) exhibit very similar results and both have a higher absolute value for avg log-likelihood than MBL balances.
Am I able to say that since LOG MBL exhibits a better fit that it would be the variable with the greatest effect on my DV despite having a lower coefficient and a lower absolute value on the avg log-likelihood? Or is it better to say that all three variables exhibit similar, modest effects on my DV?
![Ordinal Fit by Log AssetNorm n=134 (1).png Ordinal Fit by Log AssetNorm n=134 (1).png](https://community.jmp.com/t5/image/serverpage/image-id/22563iAF4FD450B7488E88/image-size/large?v=v2&px=999)
![Ordinal Fit for LOG Current Member n=134 (1).png Ordinal Fit for LOG Current Member n=134 (1).png](https://community.jmp.com/t5/image/serverpage/image-id/22564i67A8F17F83032839/image-size/large?v=v2&px=999)
![Ordinal Logistic Fit Model Log MBL n=134 (1).png Ordinal Logistic Fit Model Log MBL n=134 (1).png](https://community.jmp.com/t5/image/serverpage/image-id/22565iD684B36397ACD437/image-size/large?v=v2&px=999)
P.S. I have run my regressions in both JMP 14 and Eviews 11. Can anyone tell me why the coefficients are reported as negative in JMP while in Eviews they are reported as positive?
Thank you