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Multiple Regression: A Practical Introduction

Multiple Regression: A Practical Introduction

Multiple Regression: A Practical Introduction
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Multiple Regression: A Practical Introduction Paperback -

by Roberts, John M.,Roberts, Aki

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Details

  • Title Multiple Regression: A Practical Introduction
  • Author Roberts, John M.,Roberts, Aki
  • Binding Paperback
  • Condition New
  • Pages 280
  • Volumes 1
  • Language ENG
  • Publisher Sage Publications, Inc
  • Illustrated Yes
  • Bookseller's Inventory # 42296400-n
  • ISBN 9781544339702 / 1544339704
  • Weight 1.12 lbs (0.51 kg)
  • Dimensions 10 x 7 x 0.5 in (25.40 x 17.78 x 1.27 cm)
  • Category Sociology
  • Library of Congress subjects Social sciences - Statistical methods, Psychology - Statistical methods
  • Library of Congress Catalogue Number 2020948981
  • Quantity available 2

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From the publisher

Multiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Also, students preparing for more advanced courses can self-study the text to refresh and solidify their statistical background. Drawing on decades of teaching this material, the authors present the ideas in an approachable and nontechnical manner, with no expectation that readers have more than a standard introductory statistics course as background. Multiple regression asks how a dependent variable is related to, or predicted by, a set of independent variables. The book includes many interesting example analyses and interpretations, along with exercises. Each dataset used for the examples and exercises is small enough for readers to easily grasp the entire dataset and its analysis with respect to the specific statistical techniques covered.

A website for the book includes SPSS, Stata, SAS, and R code and commands for each type of analysis or recoding of variables in the book. Solutions to two of the end-of-chapter exercise types are also available for students to practice. The instructor side of the site contains editable PowerPoint slides, other solutions, and a test bank.

About the author

Aki Roberts is Associate Professor in the Sociology Department at the University of Wisconsin-Milwaukee. Her research focuses on policing, crime statistics, and comparative criminology. She regularly teaches the two undergraduate statistics courses in her department, Soc. 261 (Introduction to Statistical Thinking in Sociology) and Soc. 461 (Multivariate Data Analysis for Social Research), as well as course for MA and and PhD students, Soc, . 761 (Advanced Statistical Methods in Sociology). The manuscript for this book has been class-tested in Soc. 461.

John Roberts is Professor and Director of Graduate Studies in the Sociology Department at the University of Wisconsin-Milwaukee. His teaching and research interests are social networks, data analysis, and research methods.

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