Regression Analysis for Social Sciences

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9780127249551: Regression Analysis for Social Sciences

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.

Key Features
* 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

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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

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." --CHOICE, 1999

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Book Description Elsevier Science Publishing Co Inc, United States, 1998. Paperback. Book Condition: New. 232 x 154 mm. Language: English . Brand New Book ***** Print on Demand *****. 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. Bookseller Inventory # AAV9780127249551

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Book Description Elsevier Science Publishing Co Inc, United States, 1998. Paperback. Book Condition: New. 232 x 154 mm. Language: English . Brand New Book ***** Print on Demand *****. 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. It presents accessible methods of regression analysis. It includes a broad spectrum of methods. Techniques are explained step-by-step. It provides sample command and result files for SYSTAT. Bookseller Inventory # AAV9780127249551

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