Adventures in Social Research: Data Analysis Using IBM SPSS Statistics

by Earl R. Babbie, William E. Wagner-Huang, Jeanne S. Zaino

Overview

This text provides a practical, hands-on introduction to data conceptualization, measurement, and association through active learning. Students get step-by-step instruction on data analysis using the latest version of SPSS and the most current General Social Survey data. The text starts with an introduction to computerized data analysis and the social research process, then walks users through univariate, bivariate, and multivariate analysis using SPSS. The book contains applications from across the social sciences—sociology, political science, social work, criminal justice, health—so it can be used in courses offered in any of these departments. The Eleventh Edition uses the latest general Social Survey (GSS) data, and the latest available version of SPSS. The GSS datasets now offer additional variables for more possibilities in the demonstrations and exercises within each chapter.

Product Details

ISBN-13:	9781544398006
Publisher:	SAGE Publications
Publication date:	03/29/2022
Edition description:	11th Edition
Pages:	536
Product dimensions:	8.50(w) x 11.00(h) x (d)

About the Author

Earl Babbie was born in Detroit, Michigan, in 1938, but his family chose to return to Vermont 3 months later, and he grew up there and in New Hampshire. In 1956, he set off for Harvard Yard, where he spent the next 4 years learning more than he initially planned. After 3 years with the US Marine Corps, mostly in Asia, he began graduate studies at the University of California—Berkeley. He received his Ph D from Berkeley in 1969. He taught sociology at the University of Hawaii from 1968 through 1979, took time off from teaching and research to write full-time for 8 years, and then joined the faculty at Chapman University in Southern California in 1987. Although he is the author of several research articles and monographs, he is best known for the many textbooks he has written, which have been widely adopted in colleges throughout the United States and the world. He also has been active in the American Sociological Association for 25 years and currently serves on the ASA’s executive committee. He is also past president of the Pacific Sociological Association and California Sociological Association.

William E. Wagner, III, Ph D, is Professor of Sociology at California State University-Channel Islands where he teaches courses in statistics and research methods. He has published research on topics such as urban sociology, sports, homophobia, and academic status. He is co-author of Adventures in Social Research, 10E (SAGE, 2018), The Practice of Survey Research (SAGE, 2016), and A Guide to R for Social and Behavioral Sciences (SAGE, 2020) and author of Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics (2019).

Jeanne Zaino, Associate Professor of Political Science, Iona College, earned a bachelor’s degree in political science and a master’s degree in survey research at the University of Connecticut—Storrs. During that time, she worked as a research assistant at the Roper Center for Public Opinion Research. She went on to earn a master’s degree and Ph D in political science from the University of Massachusetts—Amherst. She is currently chair of the Political Science Department at Iona College in New Rochelle, New York, where she teaches courses in American government, institutions, research methods, social statistics, public opinion, scope, and methods. She and her husband, Jeff, are the proud parents of two sons, Maxim and Logan.

Table of Contents

Part I Preparing for Data Analysis
Chapter 1 Introduction: The Theory and Practice of Social Research
Chapter 2 The Logic of Measurement
Chapter 3 Description of Data Sets: The General Social Survey
Part II Univariate Analysis
Chapter 4 Using SPSS Statistics: Some Basics
Chapter 5 Describing Your Data: Religiosity
Chapter 6 Presenting Your Data in Graphic Form: Political Orientations
Chapter 7 Recoding Your Data: Religiosity and Political Orientations
Chapter 8 Creating Composite Measures: Exploring Attitudes Toward Abortion in More Depth
Chapter 9 Suggestions for Further Analysis
Part III Bivariate Analysis
Chapter 10 Examining the Sources of Religiosity
Chapter 11 Political Orientations as Cause and Effect
Chapter 12 What Causes Different Attitudes Toward Abortion?
Chapter 13 Measures of Association for Nominal and Ordinal Variables
Chapter 14 Correlation and Regression Analysis
Chapter 15 Tests of Significance
Chapter 16 Suggestions for Further Bivariate Analyses
Part IV Multivariate Analysis
Chapter 17 Multiple Causation: Examining Religiosity in Greater Depth
Chapter 18 Dissecting the Political Factor
Chapter 19 A Powerful Prediction of Attitudes Toward Abortion
Chapter 20 Suggestions for Further Multivariate Analyses
Part V The Adventure Continues
Chapter 21 Designing and Executing Your Own Survey
Chapter 22 Further Opportunities for Social Research

Editorial Reviews

This text has been a lifesaver! Although the material is challenging, I have been continually impressed with my student’s ability to come away from this course with the ability to perform their own (small) data analysis project in the final week using what they learned. . . . Many start with zero knowledge or experience with research, and in a very short time period are able to get up to speed with the terminology, and to sift through all of the various ‘rules’ of data analysis (which measures of association, tests of significance, etc. to use based on their variables) like pros.

Kristie Vise

This book is based on sound pedagogic principles and clearly derives from current live classes: you can practically hear the authors in the text. Unlike some other textbooks, it is not just a “How to” book, but also a “Why?” book, with occasional side comments revealing the sort of wry and mischievous sense of humour which appeals to students

John F Hall