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Multiple Regression
A Primer
- Paul D. Allison - University of Pennsylvania, University of Pennsylvania, USA
Other Titles in:
Quantitative/Statistical Research | Regression & Correlation | Sociological Research Methods
Quantitative/Statistical Research | Regression & Correlation | Sociological Research Methods
April 2018 | 224 pages | SAGE Publications, Inc
Multiple regression is at the heart of social science data analysis, because it deals with explanations and correlations. This book is a complete introduction to this statistical method.
This textbook is designed for the first social statistics course a student takes and, unlike other titles aimed at a higher level, has been specifically written with the undergraduate student in mind.
What Is Multiple Regression?
How Do I Interpret Multiple Regression Results?
What Can Go Wrong with Multiple Regression?
How Do I Run a Multiple Regression?
How Does Bivariate Regression Work?
What Are the Assumptions of Multiple Regression?
What Can Be Done about Multicollinearity?
How Can Multiple Regression Handle Nonlinear Relationships?
How Is Multiple Regression Related to Other Statistical Techniques?
The accessible language and simple format is ideal for students with little mathematical background.
College Of Arch Urban Planning, University of Michigan
December 14, 2010
Allison's book presents relevant information on multiple regression at a level that is easily digestible for students.
Sociology Dept, University of New Mexico
April 13, 2010
Easy to read. A good primer
Education Dept, North Carolina State University
January 25, 2010