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Paul D. Allison - Multiple Regression : A Primer (Undergraduate Research Methods & Statistics in the Social Sciences)

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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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title Multiple Regression A Primer Pine Forge Press Series in Research - photo 1


title:Multiple Regression : A Primer Pine Forge Press Series in Research Methods and Statistics
author:Allison, Paul David.
publisher:Sage Publications, Inc.
isbn10 | asin:0761985336
print isbn13:9780761985334
ebook isbn13:9780585386751
language:English
subjectRegression analysis.
publication date:1999
lcc:QA278.2.A435 1999eb
ddc:519.5/36
subject:Regression analysis.

Page i

Multiple Regression: A Primer

Page ii


TITLES OF RELATED INTEREST FROM
PINE FORGE PRESS


The Social Worlds of Higher Education: Handbook for Teaching edited by Bernice Pescosolido and Ronald Aminzade

Adventures in Social Research: Data Analysis Using SPSS for Windows95/98 TM Versions 7.5, 8.0, or Higher by Earl Babbie and Fred Halley

Adventures in Criminal Justice Research, Revised Edition: Data Analysis Using SPSS for Windows95/98 TM Versions 7.5, 8.0, or Higher by George Dowdall, Kim Logio, Earl Babbie, and Fred Halley

Exploring Social Issues Using SPSS for Windows95/98 TM Versions 7.5, 8.0, or Higher by Joseph Healey, John Boli, Earl Babbie, and Fred Halley

The Pine Forge Press Series in Research Methods and Statistics edited by Kathleen S. Crittenden

A Guide to Field Research by Carol A. Bailey

Designing Surveys: A Guide to Decisions and Procedures by Ronald Czaja and Johnny Blair

Social Statistics for a Diverse Society, Updated Printing by Chava Frankfort-Nachmias

Experimental Design and the Analysis of Variance by Robert Leik

How Sampling Works by Richard Maisel and Caroline Hodges Persell

Program Evaluation by George McCall

Investigating the Social World: The Process and Practice of Research, 2nd Edition by Russell K. Schutt

Page iii

Multiple Regression:
A Primer

Paul D. Allison

Page iv Copyright 1999 by Pine Forge Press Inc All rights reserved No part - photo 2

Page iv

Copyright 1999 by Pine Forge Press, Inc.

All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher.

For information, address:

Picture 3

Pine Forge Press
A Sage Publications Company
2455 Teller Road
Thousand Oaks, California 91320
(805) 499-4224
E-mail: sales@pfp.sagepub.com

SAGE Publications Ltd.
6 Bonhill Street
London EC2A 4PU
United Kingdom

SAGE Publications India Pvt. Ltd.
M-32 Market
Greater Kailash I
New Delhi 110 048 India

Production Coordinator: Windy Just
Production Editor: Wendy Westgate
Production Assistant: Stephanie Allen
Typesetter/Designer: Danielle Dillahunt
Cover Designer: Ravi Balasuriya

Printed in the United States of America

00 01 02 03 04 10 7 6 5 4 3 2

Library of Congress Cataloging-in-Publication Data
Allison, Paul David.
Multiple regression: A primer / Paul D. Allison.
p. cm. (The Pine Forge Press series in research methods and
statistics)
Includes bibliographical references and index.
ISBN 0-7619-8533-6 (pbk.: acid-free paper)
1. Regression analysis. I. Title. II. Series.
QA278.2 .A435 1998
519.5'36ddc21 98-40066

This book is printed on acid-free paper that meets
Environmental Protection Agency standards for
recycled paper.

Page v

About the Author

Paul D. Allison, Ph.D., is Professor of Sociology at the University of Pennsylvania. He received his Ph.D. in sociology from the University of Wisconsin in 1976 and did postdoctoral study in statistics at the University of Chicago and the University of Pennsylvania. He has published three books and more than 25 articles on statistical methods in the social sciences. These have dealt with a wide variety of methods including linear regression, log-linear analysis, logit analysis, probit analysis, measurement error, inequality measures, missing data, Markov processes, and event history analysis. At present, his research is focused on the analysis of longitudinal data, especially with determining the causes and consequences of events. Each summer, he teaches 5-day workshops on event history analysis and categorical data analysis that draw nearly 100 researchers from around the United States. At Penn, he teaches graduate courses on event history analysis, categorical data analysis, and structural equation models with latent variables. His substantive interests include scientists' careers and theories of altruistic behavior.

About the Publisher

Pine Forge Press is an educational publisher, dedicated to publishing innovative books and software throughout the social sciences. On this and any other of our publications, we welcome your comments and suggestions.

Please call or write us at:

Pine Forge Press
A Sage Publications Company
2455 Teller Road
Thousand Oaks, CA 91320
(805) 499-4224
E-mail: sales@pfp.sagepub.com

Visit our World Wide Web site, your direct link to a multitude of online resources:

http://www.pineforge.com

Page vi

To Linda: I missed you at the start but found you
in time for the finish.

Page vii

Contents

Series Foreword

Kathleen S. Crittenden

xiii

Preface

xv

What Sort of Book Is This?

xv

Who Is This Book For?

xv

How Is This Book Organized?

xvi

What Do I Need to Know to Be Able to Understand This Book?

xvi

How Should I Read This Book?

xvii

Where Can I Learn More?

xvii

Where Can I Get the Data?

xviii

Acknowledgments

xviii

1 What Is Multiple Regression?

1.1. What Is Multiple Regression?

1.2. What Is Multiple Regression Good For?

1.3. Are There Other Names for Multiple Regression?

1.4. Why Is Multiple Regression So Popular?

1.5. Why Is Regression "Linear"?

1.6. What Does a Linear Equation Look Like With More Than Two Variables?

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