Regression Analysis for Social Sciences by Alexander von Eye, Christof Schuster

Regression Analysis for Social Sciences



Download Regression Analysis for Social Sciences




Regression Analysis for Social Sciences Alexander von Eye, Christof Schuster
Language: English
Page: 386
Format: pdf
ISBN: 0127249559, 9780080550824
Publisher:

Review

"Individuals in the social and behavioral sciences as well as those with biological and biometrical backrounds would benefit from this book. Recommended. Upper-division undergraduates through faculty."
--D.J. Gougeon, University of Scranton, in CHOICE, February 1999

From the Back Cover

Regression analysis is the most widely used method in applied statistics. The method has many facets and provides many options. Introductory textbooks typically cover only standard ordinary least-squares regression. Regression Analysis for Social Services covers many more options, including robust regression, curvilinear regression, symmetrical regression, ridge regression, piecewise regression, regression for longitudinal data, and the partial interaction method for dealing with interaction problems. Sample applications are presented and sample command files are included for SYSTAT and S+. Results of analyses and characteristics of solutions are illustrated in over 50 figures.
Key Features
* Covers a comprehensive array of models of regression
* Explains technical and application features of methods
* Presents sample command files in SYSTAT and S+
* Presents numerous data examples
* Illustrates characteristics of methods in over 50 graphical displays
* Includes sample data files
Benefits to Readers
* Illustrates the flexibility of regression methods so readers can tailor their plans for data analysis for more valid answers to their research questions
* Shows how to answer research questions that cannot be answered using standard methods of regression
* Teaches readers how to incorporate graphics in the presentation of results
* Helps readers develop abilities to match research questions and statistical methods

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