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The CATMOD Procedure |

- maximum likelihood (ML) estimation of parameters for log-linear models and the analysis of generalized logits
- weighted least-squares (WLS) estimation of parameters for a wide range of general linear models

The CATMOD procedure provides a wide variety of categorical
data analyses, many of which are generalizations of
continuous data analysis methods. For example, analysis of
variance, in the traditional sense, refers to the analysis
of means and the partitioning of variation among the means
into various sources. Here, the term *analysis of
variance* is used in a generalized sense to denote the
analysis of response functions and the partitioning of
variation among those functions into various sources. The
response functions might be mean scores if the dependent
variables are ordinally scaled. But they can also be
marginal probabilities, cumulative logits, or other
functions that incorporate the essential information from
the dependent variables.

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