Multilevel (mixed) binomial logit in CSPLAN?

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Multilevel (mixed) binomial logit in CSPLAN?

Rieza Soelaeman
Dear SPSSX-Lers,
I'm new to SPSS.  I'm analyzing data collected using multistage cluster sampling design, as such the clusters and the sampling weights must be considered in the analysis.  I want to fit a multilevel (mixed) logit model to control for clustering.  I was thinking about doing a simple random intercept model, because in my case, fitting a random slopes model doesn't really make sense.  I tried to Google syntax for this kind of modeling, but did not have any luck. 

Wondering if anyone on this listserv has done such an analysis, or could point me to a resource/samples for doing this kind of thing in SPSS.

The model I'm thinking of:

Ever delivered at facility [yes/no] =  FIXED PORTION: [individual level covariates] + [community level covariates] + intercept_ij + RANDOM PORTION: intercept_j

Controlling for non-self weighting design.

any ideas?

Thanks,
RS


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Re: Multilevel (mixed) binomial logit in CSPLAN?

Ryan
RS,

Here's code to fit a binary logistic regression model with two fixed
effects (and a fixed grand intercept), along with a random intercept.

GENLINMIXED
  /FIELDS TARGET=y
  /TARGET_OPTIONS DISTRIBUTION=BINOMIAL LINK=LOGIT
  /FIXED EFFECTS=x1 x2 USE_INTERCEPT=TRUE
  /BUILD_OPTIONS TARGET_CATEGORY_ORDER=DESCENDING
  /RANDOM USE_INTERCEPT=TRUE SUBJECTS=subject
COVARIANCE_TYPE=VARIANCE_COMPONENTS.

where

"y" = binary dependent variable
"x1" and "x2" = continuous fixed effects variables
"subject" = subject identification variable

HTH,

Ryan

On Tue, May 22, 2012 at 3:48 PM, Rieza Soelaeman <[hidden email]> wrote:

> Dear SPSSX-Lers,
> I'm new to SPSS.  I'm analyzing data collected using multistage cluster
> sampling design, as such the clusters and the sampling weights must be
> considered in the analysis.  I want to fit a multilevel (mixed) logit model
> to control for clustering.  I was thinking about doing a simple random
> intercept model, because in my case, fitting a random slopes model doesn't
> really make sense.  I tried to Google syntax for this kind of modeling, but
> did not have any luck.
>
> Wondering if anyone on this listserv has done such an analysis, or could
> point me to a resource/samples for doing this kind of thing in SPSS.
>
> The model I'm thinking of:
>
> Ever delivered at facility [yes/no] =  FIXED PORTION: [individual level
> covariates] + [community level covariates] + intercept_ij + RANDOM PORTION:
> intercept_j
>
> Controlling for non-self weighting design.
>
> any ideas?
>
> Thanks,
> RS
>
>

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