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Regression Analysis for Social Sciences
1st Edition - June 25, 1998
Authors: Alexander von Eye, Christof Schuster
Language: English
eBook ISBN:9780080550824
9 7 8 - 0 - 0 8 - 0 5 5 0 8 2 - 4
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 method…Read more
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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.
Presents accessible methods of regression analysis
Includes a broad spectrum of methods
Techniques are explained step-by-step
Provides sample command and result files for SYSTAT
Academics, researchers, and students in the social sciences including psychology and sociology
Simple Linear RegressionMultiple Linear RegressionCategorical PredictorsOutlier AnalysisResidual AnalysisPolynomial RegressionMulticollinearityMultiple Curvilinear RegressionInteraction Terms in RegressionRobust RegressionSymmetric RegressionVariable Selection TechniquesRegression for Longitudinal DataPiecewise RegressionDichotomous Criterion VariablesComputational IssuesElements of Matrix AlgebraBasics of DifferentiationBasics of Vector DifferentiationPolynomialsData Sets