Posted by
Maguin, Eugene on
Dec 03, 2012; 5:31pm
URL: http://spssx-discussion.165.s1.nabble.com/Multinomial-regression-and-weighting-problem-tp5716582p5716611.html
I'm not denying what you describe or that the analysis might be wrong or intending to be sarcastic or snarky but ... tell me how large would the 'd' effect size have to be to be significant given an N of 44M???
I understand you want to do a weighted analysis. I'm wondering if it might be better to compute the weights so that they are proportional to the sample size so that the analysed N is 46,484 but weighted to be proportional to the population (I hope that is clear; I'm not sure it is and I apologize.) Something to check on is whether Logistic regression or Nomreg or Plum or GenLin will accept fractional weights. You will definitely have them (and you may have them now) and I'm unsure whether those procedures will accept non-integer weights.
Gene Maguin
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of n90
Sent: Sunday, December 02, 2012 8:46 AM
To:
[hidden email]
Subject: Multinomial regression and weighting problem
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!
--
View this message in context:
http://spssx-discussion.1045642.n5.nabble.com/Multinomial-regression-and-weighting-problem-tp5716582.htmlSent from the SPSSX Discussion mailing list archive at Nabble.com.
=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD