In SPSS and Stata, ``Ordinal Logistic Regression'' means
the proportional odds model:
This model is attractive for dependent variables whose
ordinality can be seen as being based on an underlying continuous
dimension, probably unobserved (Agresti, Ch 8.2)
Thus it would be better suited to a Likert-style dependent
variable, than, say, highest educational qualification
The model estimates a set of ``cut-points'', dividing
the sample into the ordinal categories; these can be
considered as representing the ordinality of the categories on
the underlying linear dimension (effectively in terms of the
proportions above and below each binary comparison point)
It then estimates a single for each independent
variable, suggesting that the effect of independent variables is
the same across the range: