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This entry provides a nontechnical description of loglinear models, which were developed to analyze multivariate cross-tabulation tables. Although a detailed exposition is beyond its scope, the entry describes when loglinear models are necessary, what these models do, how they are tested, and the more familiar extensions of binomial and multinomial logistic regression.

Why Loglinear Models?

Many social science phenomena, such as designated college major or type of exercise, are non-numeric, and categories of the variable cannot even be ordered from highest to lowest. Thus, the phenomenon is a nominal dependent variable; its categories form a set of mutually exclusive qualities or traits. Any two cases might fall into the same or different categories, but we cannot assert that the value of one case is more or less ...

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