Adventures in Social Research: Data Analysis Using IBM SPSS Statistics (10th Revised edition)

Adventures in Social Research: Data Analysis Using IBM SPSS Statistics (10th Revised edition)

By: Jeanne S. Zaino (author), Earl R. Babbie (author), William E. Wagner (author)Paperback

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Description

The fully revised Tenth Edition of Adventures in Social Research: Data Analysis Using IBM (R) SPSS (R) Statistics offers step-by-step instruction on data analysis using the latest version (24.0) of SPSS and current data from the General Social Survey. Organized to parallel most introductory research methods texts, this text starts with an introduction to computerized data analysis and the social research process, then takes readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics. The range of topics, from beginning to advanced, make Adventures in Social Research appropriate for both undergraduate and graduate courses.

About 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 PhD 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, PhD, 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, 9E (SAGE, c. 2015) and The Practice of Survey Research (SAGE, c. 2016), and author of Using IBM (R) SPSS (R) Statistics for Research Methods and Social Science Statistics. 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 PhD 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.

Contents

Preface About the Authors PART I. PREPARING FOR DATA ANALYSIS Chapter 1. Introduction: The Theory and Practice of Social Research Overview Why Use a Database? SPSS Statistics Social Research: A Primer Concepts and Theories: Deprivation Theory Variables and Hypotheses: Religiosity Social Research Strategies: Inductive and Deductive Theory and Research in Practice Conclusion Chapter 2. The Logic of Measurement Validity Problems Reliability Problems Distinguishing Between Validity and Reliability Multiple Indicators Levels of Measurement Measurement and Information Measurement Options Classifying Variables as Discrete or Continuous Conclusion Chapter 3. Description of Data Sets: The General Social Survey Sampling Data Collection The Codebook: Appendix A Conclusion PART II. UNIVARIATE ANALYSIS Chapter 4. Using SPSS Statistics: Some Basics Demonstration 4.1: Starting an SPSS Statistics Session Demonstration 4.2: Exploring the Data View Portion of the Data Editor Demonstration 4.3: Entering Data-a Preview Demonstration 4.4: Loading a Data Set Demonstration 4.5: Raw Data in Data View Finding Variable Information: Values and Labels Demonstration 4.6: Variable View Tab Demonstration 4.7: Ending Your SPSS Statistics Session Conclusion Chapter 5. Describing Your Data: Religiosity Demonstration 5.1: Opening Frequently Used Data Files Demonstration 5.2: Setting Options-Variable Lists and Output Labels Demonstration 5.3: Frequency Distributions Demonstration 5.4: Frequency Distributions-Running Two or More Variables at One Time Descriptive Statistics: Basic Measures of Central Tendency and Dispersion Demonstration 5.5: The Frequencies Procedure Demonstration 5.6: The Descriptives Procedure-Calculating Descriptive Statistics for Continuous Variables Demonstration 5.7: Printing Your Output (Viewer) Demonstration 5.8: Adding Headers/Footers and Titles/Text Demonstration 5.9: Saving Your Output (Viewer) Demonstration 5.10: Saving Changes to Your Data Set Conclusion Chapter 6. Presenting Your Data in Graphic Form: Political Orientations Graphing Data With Direct "Legacy" Dialogs Demonstration 6.1: Frequency Table-POLVIEWS Demonstration 6.2: SPSS Statistics Chart Editor Demonstration 6.3: Frequency Table-PARTYID Demonstration 6.4: Political Attitudes Demonstration 6.5: Histogram-AGE Demonstration 6.6: Line Chart-INCOME Saving and Printing Your Charts Conclusion Chapter 7. Recoding Your Data: Religiosity and Political Orientations Demonstration 7.1: Modifying Variables With Recode-ATTEND ? CHATT Demonstration 7.2: Recoding AGE ? AGECAT Demonstration 7.3: Recoding POLVIEWS ? POLREC Demonstration 7.4: Recoding PARTYID ? PARTY Demonstration 7.5: Saving Changes to Your Data Set Conclusion Chapter 8. Creating Composite Measures: Exploring Attitudes Toward Abortion in More Depth Demonstration 8.1: Identifying the Seven Abortion Variables-File Info Demonstration 8.2: Running Frequencies for Several Variables at Once Index: A Form of Composite Measure Demonstration 8.3: ABORT Index Demonstration 8.4: Defining ABORT Demonstration 8.5: Checking New Index-Comparing Scores on Old and New Variables Demonstration 8.6: Running Frequencies for ABORT Demonstration 8.7: ABINDEX Demonstration 8.8: Running Frequencies Conclusion Chapter 9. Suggestions for Further Analysis Desired Family Size Demonstration 9.1: Respondents' Ideal Family Size (CHLDIDEL) Child-Rearing Demonstration 9.2: Important Qualities for Children Attitudes About Sexual Behavior Demonstration 9.3: Index of Sexual Permissiveness Prejudice Conclusion PART III. BIVARIATE ANALYSIS Chapter 10. Examining the Sources of Religiosity The Deprivation Theory of Religiosity Testing Our Hypothesis: Correlating Religiosity and Gender Demonstration 10.1: Running Crosstabs to Test Our Hypothesis Demonstration 10.2: Interpreting a Crosstab With Limited Categories Demonstration 10.3: Correlating Another Measure of Religiosity and Gender Drawing Conclusions Carefully: Reassessing Our Original Hypothesis Demonstration 10.4: Interpreting a Crosstab With Ordinal Variables-Religiosity and Age Demonstration 10.5: Correlating Other Measures of Religiosity and Age Conclusion Chapter 11. Political Orientations as Cause and Effect The Relationship Between POLVIEWS and PARTYID Demonstration 11.1: POLREC by PARTY Demonstration 11.2: PARTY by POLREC Demonstration 11.3: POLREC by AGECAT Demonstration 11.4: PARTY by AGECAT Demonstration 11.5: POLREC by RELIG Demonstration 11.6: PARTY by RELIG Demonstration 11.7: PARTY and POLREC by SEX Demonstration 11.8: POLREC by RACE Demonstration 11.9: PARTY by RACE Demonstration 11.10: Recoding EDUC ? EDCAT Demonstration 11.11: POLREC by EDCAT Demonstration 11.12: PARTY by EDCAT Some Surprises: Class, Marital Status, and Politics The Impact of Party and Political Philosophy Saving Recoded Variable: EDCAT Conclusion Chapter 12. What Causes Different Attitudes Toward Abortion? Demonstration 12.1: Gender and Abortion Demonstration 12.2: Age and Abortion Demonstration 12.3: Religion and Abortion Demonstration 12.4: Politics and Abortion Demonstration 12.5: Sexual Attitudes and Abortion Other Factors You Can Explore on Your Own Conclusion Chapter 13. Measures of Association for Nominal and Ordinal Variables The Logic of Statistical Association: Proportionate Reduction of Error Lambda (?): A Measure Appropriate for Nominal Variables Demonstration 13.1: Instructing SPSS Statistics to Calculate Lambda (?) Interpreting Lambda and Other Measures Gamma (?): A Measure Appropriate for Ordinal Variables Demonstration 13.2: Instructing SPSS Statistics to Calculate Gamma (?)-Example 1 Demonstration 13.3: Running Gamma (?)-Example 2 (Reverse Scoring Case) Additional Measures of Association Analyzing the Association Between Variables at Different Levels of Measurement Conclusion Chapter 14. Correlation and Regression Analysis Pearson's r: A Measure Appropriate for Interval/Ratio Variables Interpreting Pearson's r and the Coefficient of Determination (r2) Instructing SPSS Statistics to Calculate Pearson's r Demonstration 14.1: Recoding RINCOM16 ? RECINC Demonstration 14.2: Using SPSS Statistics to Compute Pearson's r Demonstration 14.3: Requesting Several Correlation Coefficients Regression Analysis Demonstration 14.4: Regression Demonstration 14.5: Presenting Data Graphically-Producing a Scatterplot With a Regression Line Measures of Association for Interval and Ratio Variables Analyzing the Association Between Variables at Different Levels of Measurement Conclusion Chapter 15. Tests of Significance Statistical Significance Significance Tests: Part of the Larger Body of Inferential Statistics Statistical Significance Versus Measures of Association Chi-Square (c2) Demonstration 15.1: Instructing SPSS Statistics to Calculate Chi-Square Significance and Association Demonstration 15.2: Instructing SPSS Statistics to Run Independent-Samples t Test Demonstration 15.3: t Test-EDUC by SEX Analysis of Variance Demonstration 15.4: Instructing SPSS Statistics to Run ANOVA A Statistical Toolbox: A Summary Conclusion Chapter 16. Suggestions for Further Bivariate Analyses Demonstration 16.1: Desired Family Size Child-Rearing Attitudes About Sexual Behavior Demonstration 16.2: Investigating Sexual Permissiveness Further Additional Resources Conclusion PART IV. MULTIVARIATE ANALYSIS Chapter 17. Multiple Causation: Examining Religiosity in Greater Depth Multiple Causation Demonstration 17.1: The Impact of Age and Sex on Religiosity Demonstration 17.2: Family Status and Religiosity Demonstration 17.3: Family Status and Religiosity, Controlling for Age Demonstration 17.4: Social Class and Religiosity Other Variables to Explore Chi-Square and Measures of Association Multiple Regression Conclusion Chapter 18. Dissecting the Political Factor Political Philosophy and Party Identification Demonstration 18.1: Controlling for Education Demonstration 18.2: The Mystery of Politics and Marital Status Political Issues Conclusion Chapter 19. A Powerful Prediction of Attitudes Toward Abortion Religion and Abortion Demonstration 19.1: Religious Affiliation and Church Attendance Demonstration 19.2: Religious Affiliation, Church Attendance, and Abortion Politics (POLREC, PARTY) and Abortion (ABORT) Demonstration 19.3: The Interaction of Religion and Politics on Abortion Attitudes Demonstration 19.4: Constructing an Index of Ideological Traditionalism Sexual Attitudes and Abortion Demonstration 19.5: Recode PREMARSX and HOMOSEX Demonstration 19.6: The Relationship Between Sexual Permissiveness and IND Conclusion Chapter 20. Suggestions for Further Multivariate Analyses Ideal Family Size and Abortion Child-Rearing The Protestant Ethic Capital Punishment, Gender, and Race Demonstration 20.1: CAPPUN by SEX Demonstration 20.2: CAPPUN by SEX, Controlling for RACE Conclusion PART V. THE ADVENTURE CONTINUES Chapter 21. Designing and Executing Your Own Survey The Social Research Process and Proposal Designing and Executing Your Own Survey Getting Ready for Data Analysis Using SPSS Statistics Step 1: Define Your Data Demonstration 21.1: Example 1-Defining ID Demonstration 21.2: Example 2-Defining CHLDIDEL Demonstration 21.3: Copying a Variable Demonstration 21.4: Saving Your New File Step 2: Edit and Code Your Data Demonstration 21.5: Accessing File Information for Coding and Editing Step 3: Enter Your Raw Data Demonstration 21.6: Moving Through Data View Demonstration 21.7: Entering Data Demonstration 21.8: Revising or Deleting Data Demonstration 21.9: Saving Your Data File Writing a Research Report Conclusion Chapter 22 Further Opportunities for Social Research The Unabridged GSS Other Data Sets Other Computer Programs Conclusion Appendix A: The Codebook Appendix B: Questionnaire for Class Survey Index/Glossary

Product Details

  • ISBN13: 9781506362779
  • Format: Paperback
  • Number Of Pages: 512
  • ID: 9781506362779
  • ISBN10: 150636277X
  • edition: 10th Revised edition

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