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Logistic Regression

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Edited by: Published: 2010
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Logistic regression is a statistical technique used in research designs that call for analyzing the relationship of an outcome or dependent variable to one or more predictors or independent variables when the dependent variable is either (a) dichotomous, having only two categories, for example, whether one uses illicit drugs (no or yes); (b) unordered polytomous, which is a nominal scale variable with three or more categories, for example, political party identification (Democrat, Republican, other, or none); or (c) ordered polytomous, which is an ordinal scale variable with three or more categories, for example, level of education completed (e.g., less than elementary school, elementary school, high school, an undergraduate degree, or a graduate degree). Here, the basic logistic regression model for dichotomous outcomes is examined, noting ...

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