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st: Incorporating sample design into logistic regression model


From   Jamie Burnett <Jamie.Burnett@ipsos.com>
To   "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu>
Subject   st: Incorporating sample design into logistic regression model
Date   Wed, 16 Dec 2009 19:02:10 +0000

Hi, I desperately need some help?


How do I go about using logistic regression in SPSS when I have Design (sample) weights (due to unequal probabilities of selection in my survey) and I want to take them into account when estimating the beta coefficients of my model. According to R. Groves and M. Couper 'Nonresponse in Household Interview Surveys' they talk about estimating the unknown parameters by maximising the weighted log-likelihood.



Can this be done in SPSS either through simply weighting the data (through Data>Weight cases) before running a binary logistic regression or do I need to use the Advanced Generalised Linear Model add-on and include the sample weight as a scale weight variable? Or do I need the add-on Complex Samples?



Any help greatly appreciated.



Many thanks

Jamie Burnett






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