Multinomial regression and weighting problem

Posted by n90 on Dec 02, 2012; 1:46pm
URL: http://spssx-discussion.165.s1.nabble.com/Multinomial-regression-and-weighting-problem-tp5716582.html

Hi,

I'm conducting a multinomial logistic regression on some British Crime Survey data. For this analysis I need to weight the dataset in order to account for sampling biases.

The problem I'm having is when I apply the correct weight and run the multinomial regression, my model fitting criteria for the model fitting information and likelihood ratio test come up with a blank (...). As a consequence, everything in my model is coming out as significant, which I know is wrong.

I have run the model before using a different weight, which I now know is wrong for use in my particular analysis, so I believe there is a problem with this new weighting, rather than any of the other inputs into the model.

Has anybody else had experience of this? If it's a problem with the weighting is there anything I can do to fix it?

If it helps the unweighted sample size is 46,484 and weighted is 43,974,190.

Any help would be very much appreciated!