I run an ordinal logistic regression model using both SPSS and Minitab. The dataset is exactly the same. The results are exactly the same, but in opposite directions. I have not manipulated default values of the two programs.

The result of SPSS is the correct one. I know this since when I analyze this dataset using Minitab, but using its linear regression (not ordinal logit), the Minitab itself gives something similar to SPSS. But Minitab's ordinal regression tends to consider a strange default. All betas in logistic regression of Minitab are negated.

Why is that?

  • 5
    $\begingroup$ Ummm... I guess someone at Minitab thought this was a good default? Every piece of software has some odd choices built in. $\endgroup$
    – Peter Flom
    Commented Jun 10, 2013 at 18:19
  • 3
    $\begingroup$ See this answer for an explanation of the possible ways to write down the same model for ordinal logistic regression. $\endgroup$
    – caracal
    Commented Jun 10, 2013 at 18:40
  • $\begingroup$ Caracal, your answer there was awesome. :) $\endgroup$
    – Vic
    Commented Jun 12, 2013 at 17:32

1 Answer 1


I suspect that the models are specified differently between SPSS and Minitab. I think that SPSS "puts" a minus sign between the intercept and all the regression coefficients. This is ensures that, for positive coefficients, increases in X values lead to an increase of probability in the higher-numbered response categories. However, I wonder if Minitab "puts" a plus between the intercept and coefficients so increases in predictor values lead to an increase of probability in the lower-numbered response categories. Check documentation for each software package to verify this.

  • $\begingroup$ Thanks a lot dear Scott. I am wondering which one is the right one? Should that minus be there (I think the answer is yes, of course), but don't know why Minitab ignores it in the first place? I would check out the documentation and update later. $\endgroup$
    – Vic
    Commented Jun 10, 2013 at 22:01
  • $\begingroup$ Both methods are "correct." Which one you choose will depend on which method you find to be easier to interpret. $\endgroup$ Commented Jun 11, 2013 at 14:07
  • $\begingroup$ yes yes they are correct. I meant the one which is closer to common sense. Caracal's answer ( stats.stackexchange.com/a/38130/1909 ) made it clear that SPSS's approach is the good one (in which a positive beta indicates increases in X together with "increases" in Y), but the Minitab's approach is counterintuitive (increases in X accompanies decreases in Y). $\endgroup$
    – Vic
    Commented Jun 12, 2013 at 17:31
  • $\begingroup$ Vic, Yes, I agree with you. $\endgroup$ Commented Jun 12, 2013 at 17:56

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