For several predictor variables, I am getting signficant coeffecients which have signs in the expected directions, but the Pearson's goodness-of-fit test for the model is significant at the .05 level (I am using SPSS).

It appears to be *very* significant, Chi-sq of 11,766.414/919 df, sig = .000

Apparently this means that the model is not performing well, because the expected cell frequencies differ greatly from the observed cell frequencies.

My question: How important is this goodness-of-fit test result? Does this mean that the model is invalid or basically useless (analogous to a low adjusted R-square in linear regression) or is the goodness-of-fit test merely advisable in probit?

**Bottom Line**: Can I confidently report my results, even with such a poor result on the goodness of fit test?

I have done quite a bit of web searching and searching in SPSS product help and can't find an answer. Any help here would be appreciated. Thanks!

DavidBill