Regression Analysis for Social Sciences

Nonfiction, Reference & Language, Education & Teaching, Educational Theory, Testing & Measurement, Science & Nature, Mathematics, Statistics
Cover of the book Regression Analysis for Social Sciences by Alexander von Eye, Christof Schuster, Elsevier Science
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Author: Alexander von Eye, Christof Schuster ISBN: 9780080550824
Publisher: Elsevier Science Publication: August 12, 1998
Imprint: Academic Press Language: English
Author: Alexander von Eye, Christof Schuster
ISBN: 9780080550824
Publisher: Elsevier Science
Publication: August 12, 1998
Imprint: Academic Press
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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