Regression Analysis for Social Sciences

Presents methods of regression analysis, with each method having illustrations and examples. This book is suitable for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. It contains examples that include data from the social and behavioral sciences as well as biology.

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Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step-by-step enabling students and researchers to analyze their own data. Examples include data from the social and behavioral sciences as well as biology, making the book useful for readers with biological and biometrical backgrounds. Sample command and result files for SYSTAT are included in the text.