This brief and economical text shows students with relatively little mathematical background how to understand and apply sophisticated linear regression models in their research areas within the social, behavioral, and medical sciences, as well as marketing, and business. Less theoretical than competing texts, Hoffman includes numerous exercises and worked-out examples and sample programs and data sets for three popular statistical software programs: SPSS, SAS, and Stata.

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Without requiring mathematical training beyond algebra and introductory statistics, Generalized Linear Models shows readers how to understand and apply sophisticated linear regression models in their research areas within the social, behavioral, and medical sciences, as well as marketing and business.

By including numerous exercises and worked-out examples, as well as applications from many academic disciplines, Hoffman has written a book that is less theoretical and more applied than competing texts.

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