IBM SPSS COMPLEX SAMPLES 19 Water System User Manual


 
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Complex Samples General Linear Model
Figure 19-15
Estimated marginal means by levels of gender by shoppi ng styl e
This table displays the model-estimated marginal means, standard errors, and condence intervals
of Amount spent at the factor combinations of Who shopping for and Use coupons.Thistable
is useful for exploring the interaction effect between these two factors that was found in the
tests of model effects.
Summary
In this example, the estimated marginal means revealed differences in spending between customers
at varying levels of Who shopping for and Use coupons. The tests of model effects conrmed this,
as well as the fact that there appears to be a Who shopping for*Use coupons interaction effect.
The model summary table revealed that the present model explains somewhat more than half of
the variation in the data and could likely be improved by adding more predictors.
Related Procedures
The Complex Samples General Linear Model procedure is a useful tool for modeling a scale
variable when the cases have been drawn according to a complex sampling scheme.
The Complex Samples Sampling Wizard is used to specify complex sampling design
specications and obtain a sample. The sampling plan le created by the Sampling Wizard
contains a default analysis plan and can be specied in the Plan dialog box when you are
analyzing the sample obtained according to that plan.
The Complex Samples Analysis Preparation Wizard is used to specify analysis specications
for an existing complex sample. The analysis plan le created by the Sampling Wizard can be
specied in the Plan dialog box when you are analyzing the sample corresponding to that plan.
The Complex Samples Logistic Regression procedure allows you to model a categorical
response.
The Complex Samples Ordinal Regression procedure allows you to model an ordinal response.