Multiple Regression: A Practical Introduction

Author:   Aki Roberts (University of Wisconsin-Milwaukee, USA) ,  John M. Roberts (University of Wisconsin, Milwaukee, USA) ,  Inc. SAGE Publications
Publisher:   SAGE Publications Inc
ISBN:  

9781544339702


Pages:   280
Publication Date:   02 March 2021
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Multiple Regression: A Practical Introduction


Overview

Including many interesting example analyses and interpretations, along with exercises, this text offers a practical introduction to multiple regression. 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. SPSS, Stata, SAS, and R code and commands for each type of analysis or recoding of variables in the book are available on an accompanying website, along with solutions to the exercises (on the instructor site).

Full Product Details

Author:   Aki Roberts (University of Wisconsin-Milwaukee, USA) ,  John M. Roberts (University of Wisconsin, Milwaukee, USA) ,  Inc. SAGE Publications
Publisher:   SAGE Publications Inc
Imprint:   SAGE Publications Inc
Weight:   0.530kg
ISBN:  

9781544339702


ISBN 10:   1544339704
Pages:   280
Publication Date:   02 March 2021
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Chapter 1 Introduction Chapter 2 Fundamentals of Multiple Regression Chapter 3 Categorical Independent Variables in Multiple Regression: Dummy Variables Chapter 4 Multiple Regression with Interaction Chapter 5 Logged Variables in Multiple Regression Chapter 6 Nonlinear Relationships in Multiple Regression Chapter 7 Categorical Dependent Variables: Logistic Regression Chapter 8 Count Dependent Variables: Poisson Regression Chapter 9 A Brief Tour of Some Related Methods

Reviews

This book gives students the practical knowledge and foundation of regression analysis. It is refreshing that the book includes two chapters the extend past linear regression to other types of analysis. -- Margaret Ralston


This book gives students the practical knowledge and foundation of regression analysis. It is refreshing that the book includes two chapters the extend past linear regression to other types of analysis. -- Margaret Ralston


Author Information

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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