The CATMOD Procedure
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Overview
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Getting Started
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Syntax
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DetailsMissing ValuesInput Data SetsOrdering of Populations and ResponsesSpecification of EffectsOutput Data SetsLogistic AnalysisLog-Linear Model AnalysisRepeated Measures AnalysisGeneration of the Design MatrixCautionsComputational MethodComputational FormulasMemory and Time RequirementsDisplayed OutputODS Table Names
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ExamplesLinear Response Function, r=2 ResponsesMean Score Response Function, r=3 ResponsesLogistic Regression, Standard Response FunctionLog-Linear Model, Three Dependent VariablesLog-Linear Model, Structural and Sampling ZerosRepeated Measures, 2 Response Levels, 3 PopulationsRepeated Measures, 4 Response Levels, 1 PopulationRepeated Measures, Logistic Analysis of Growth CurveRepeated Measures, Two Repeated Measurement FactorsDirect Input of Response Functions and Covariance MatrixPredicted Probabilities
- References
The CATMOD procedure is a general modeling procedure for categorical data analysis, and it can be used for sophisticated analyses that require matrix specification of the response function and the design matrix. It can also be used to perform basic analysis-of-variance-type analyses that require only a few statements. The following is a basic example.