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Multiple Regression: A Primer: Undergraduate Research Methods & Statistics in the Social Sciences

Autor Paul D. Allison
en Limba Engleză Paperback – 10 feb 1999
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.
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Specificații

ISBN-13: 9780761985334
ISBN-10: 0761985336
Pagini: 224
Ilustrații: tables, figures, references, bibliography, index
Dimensiuni: 152 x 229 x 12 mm
Greutate: 0.31 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Undergraduate Research Methods & Statistics in the Social Sciences

Locul publicării:Thousand Oaks, United States

Recenzii

"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." 

Cuprins

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?

Descriere

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.