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Complex Samples Ordinal Regression
from Disagree to Agree, more than half of whom were observed to respond Disagree or Strongly disagree. This is a very important distinction that deserves careful consideration before choosing the reduced model.
Summary
Using the Complex Samples Ordinal Regression Procedure, you have constructed competing models for the level of support for the proposed bill based on voter demographics. The test of parallel lines shows that a generalized cumulative model is not necessary. The tests of model effects suggest that Gender and Voted in last election could be dropped from the model, and the reduced model performs well in terms of
Related Procedures
The Complex Samples Ordinal Regression procedure is a useful tool for modeling an ordinal 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 General Linear Model procedure allows you to model a scale response.
The Complex Samples Logistic Regression procedure allows you to model a categorical response.
