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Multiple Regression: a Primer

by Allison P Pine Forge Press
Pub Date:
02/1999
ISBN:
9780761985334
Format:
Pbk 224 pages
Price:
AU$108.00 NZ$108.70
Product Status: In Stock Now
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This extremely well-written, straightforward book gives you the flexibility to cover regression more thoroughly than do most statistics texts, without financially taxing your students.+é-áIt is written at a level that undergraduate students can easily comprehend.

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?

'I find the concept for this approach to teaching undergraduate research methods and statistics innovative and exciting. The idea of core texts supplemented by satellite volumes covering specific, important topics makes absolute sense.' Barbara Heyl
Paul D. Allison is Professor of Sociology at the University of Pennsylvania, where he teaches advanced graduate courses on event history analysis, categorical data analysis, and structural equation models with latent variables. He is the author of seven books and more than 50 journal articles. Every summer he teaches 5-day workshops on survival analysis and logistic regression analysis that draw about 100 researchers from around the U.S. A former Guggenheim Fellow, Allison received the 2001 Lazarsfeld Award for distinguished contributions to sociological methodology.