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Introduction to Categorical Data Analysis Procedures

Chapter 5 Introduction to Categorical DataAnalysis ProceduresChapter Table of 65 SAMPLING FRAMEWORKS AND DISTRIBUTION 67 Simple Random Sampling: One Population .. 67 Stratified Simple Random Sampling: Multiple 68 Observational data : Analyzing the Entire Population .. 69 Randomized Experiments .. 70 RelaxationofSamplingAssumptions .. 70 COMPARISON OF FREQ AND CATMOD 71 COMPARISON OF CATMOD, GENMOD, LOGISTIC, AND 72 Logistic 73 Parameterization .. 7464 Chapter 5. Introduction to Categorical data Analysis ProceduresSAS OnlineDoc : Version 8 Chapter 5 Introduction to Categorical DataAnalysis ProceduresOverviewSeveral Procedures in SAS/STAT software can be used for the Analysis of categoricaldata:CATMOD fits linear models to functions of Categorical data , facilitating suchanalyses as regression, Analysis of variance, linear modeling, log-linear modeling, logistic regression, and repeated measures anal-ysis. Maximum likelihood estimation is used for the Analysis oflogits and generalized logits, and weighted least squares Analysis isused for fitting models to other response simple and multiple correspondence analyses, using acontingency table, Burt table, binary table, or raw Categorical dataas input.

Chapter 5 Introduction to Categorical Data Analysis Procedures Overview Several procedures in SAS/STAT software can be used for the analysis of categorical

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