Happiness is an ordered categorical variable. Higher categories correspond to being happier.

The effect describes the influence of a correlate on the probability of being happy for a given set of values for the correlates in the model.

OMPE<0 indicates that the probability of being in the chosen happiness category de-creases by OMPE units when

1) the corresponding metric correlate increases with one unit
2) the corresponding category of a categorical correlate is compared to the reference category.

OMPE>0 indicates that the probability of being in the chosen happiness category in-creases by OMPE units when

1) the corresponding metric correlate increases with one unit
2) the corresponding category of a categorical correlate is compared to the reference category.