Regression analysis for social sciences:
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Bibliographic Details
Main Author: Eye, Alexander von (Author)
Format: Electronic eBook
Language:English
Published: San Diego, Calif. Academic Press c1998
Subjects:
Online Access:FAW01
FAW02
Volltext
Item Description:Includes bibliographical references (p. 373-380) and index
Simple linear regression -- Multiple linear -- Categorical predictors -- Outlier analysis -- Residual analysis -- Polynomial regression -- Multicollinearity -- Multiple curvilinear regression -- Interaction terms in regression -- Robust regression -- Symmetric regression -- Variable selection techniques -- Regression for longitudinal data -- Piecewise regression -- Dichotomous criterion variables -- Computational issues
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
Physical Description:1 Online-Ressource (xv, 386 p.)
ISBN:0080550827
1281057126
9780080550824
9780127249551
9781281057129

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