Re: Multinomial regression and weighting problem

Posted by Bruce Weaver on Dec 02, 2012; 2:42pm
URL: http://spssx-discussion.165.s1.nabble.com/Multinomial-regression-and-weighting-problem-tp5716582p5716583.html

Please post your syntax.  At the moment, it's not clear, for example, whether you are using CSLOGISTIC or NOMREG in conjunction with WEIGHT CASES (or something else).  

HTH.

n90 wrote

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!