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Complex Samples General Linear Model

Figure 19-15

Estimated marginal means by levels of gender by shopping style

This table displays the model-estimated marginal means, standard errors, and confidence intervals of Amount spent at the factor combinations of Who shopping for and Use coupons. This table 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 confirmed 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 specifications and obtain a sample. The sampling plan file created by the Sampling Wizard contains a default analysis plan and can be specified 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 specifications for an existing complex sample. The analysis plan file created by the Sampling Wizard can be specified 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.

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