Using IBM SPSS Statistics for Research Methods and Social Science Statistics

147 Pages·8.201 MB·English

by  Wagner W.E.

In loving memory of Vic Arcabos

Copyright © 2015 by SAGE Publications, Inc.
All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or
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Printed in the United States of America
Library of Congress Cataloging-in-Publication Data
Wagner, William E. (William Edward)
[Using SPSS for social statistics and research methods]
Using IBM SPSS statistics for research methods and social science statistics / William E. Wagner, III, California State
University Channel Islands. — Fifth edition.
pages cm
Revision of the author’s Using SPSS for social statistics and research methods.
Includes bibliographical references and index.
ISBN 978-1-4833-5128-5 (pbk. : alk. paper) —
ISBN 978-1-4833-5126-1 (web pdf)
1. Social sciences—Statistical methods.
2. SPSS for Windows. I. Title.
HA32.W34 2015
300.285′555—dc23 2013039215
This book is printed on acid-free paper.

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Contents
Preface
Acknowledgments
CHAPTER 1: Overview
What’s the Difference Between SPSS Statistics and PASW Statistics? None.
Statistical Software
About the GSS Data
SPSS/PASW Electronic Files
Opening Existing Data Files
Importing Data From Statistics File Formats Other Than SPSS or PASW
Opening Previously Created Output Files
Saving Files
Creating New SPSS Statistics Data Files
Creating and Editing SPSS Statistics Output Files
Preferences: Getting Started
Measurement of Variables Using SPSS Statistics
References
CHAPTER 2: Transforming Variables
Recoding and Computing Variables
Recoding Variables: Dichotomies and Dummy Variables
Recoding Using Two or More Variables to Create a New Variable
Computing Variables
Using the Count Function
Computing an Index Using the Mean
Multiple Response
CHAPTER 3: Selecting and Sampling Cases
Targeted Selection
Random Selection
Selecting Cases for Inclusion in a New Data Set
CHAPTER 4: Organization and Presentation of Information
Measures of Central Tendency and Variability
Frequency Distributions
CHAPTER 5: Charts and Graphs
Boxplot
Legacy Options for Graphs (Boxplot Example)
Scatterplot
Legacy Scatterplot
Histogram
Multivariate Histogram
Horizontal Histogram
Bar Graph
Multivariate Bar Graph
Pie Chart
Additional Graphic Capabilities in SPSS Statistics
CHAPTER 6: Testing Hypotheses Using Means and Cross-Tabulation
Comparing Means
Comparing Means: Paired-Samples t Test
Comparing Means: Independent-Samples t Test
One-Sample t Test
Chi-Square (χ2)
Chi-Square (χ2) and Cross-Tabulation
CHAPTER 7: Cross-Tabulation and Measures of Association for Nominal and
Ordinal Variables
Bivariate Analysis
Adding Another Variable or Dimension to the Analysis
Measures of Association for Nominal and Ordinal Variables
Lambda (λ)
Gamma (γ), Kendall’s Tau-b, and Somers’ d
References
CHAPTER 8: Correlation and Regression Analysis
Bivariate Regression
Correlation
Multiple Regression
CHAPTER 9: Logistic Regression Analysis
Preparing Variables for Use in Logistic Regression Analysis
Creating a Set of Dummy Variables to Represent a Multicategory Nominal Variable