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Generalized Linear Models
Generalized linear models

Generalized linear models (GLMs) were proposed by Nelder and Wedderburn (1972) and represent a family of statistical techniques that can be used to analyse a wide variety of research problems. They are sufficiently general to be applicable to much social science data and provide a comprehensive set of analytical tools. Of particular importance is the unified theoretical framework that enables certain ‘economies of scale’ to be realised (e.g. the interpretation of the parameter estimates and model-fit statistics are similar for all techniques under the GLM umbrella, as are many of the model-building techniques and model diagnostics) and enable a full set of analyses to be taught within the confines of a typical postgraduate statistics course.

Key Features

GLMs are univariate models as ...

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