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Adventures in Social Research
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Adventures in Social Research
Data Analysis Using IBM SPSS Statistics

Tenth Edition


May 2018 | 512 pages | SAGE Publications, Inc

Recipient of the 2018 Cornerstone Author Award!

Inspire students to pursue their own adventures in social research with this practical, hands-on introduction to data conceptualization, measurement, and association through active learning.

Adventures in Social Research: Data Analysis Using IBM® SPSS® Statistics offers a practical, hands-on introduction to the logic of social science research for students in many disciplines. The fully revised Tenth Edition 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.

For students who are using SPSS for the first time, the free online study site includes video tutorials on basic procedures and operations and includes all SPSS data sets necessary for completing the exercises in the book.

SAVE! SPSS bundles available

Adventures in Social Research, 10e + SAGE IBM® SPSS® Statistics v24.0 Student Version
Bundle ISBN: 978-1-5443-3750-0

Available with Perusall—an eBook that makes it easier to prepare for class
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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

Supplements

Student Study Site

An open-access student study site includes all GSS data sets used in the text, and screen-cast videos created by Billy Wagner to walk students through basics of SPSS.

Key features
NEW TO THIS EDITION:
  • The text is fully updated to include screenshots and instructions for the latest release of SPSS.
  • All exercises are fully compatible with IBM® SPSS® Statistics v24.0, which can be bundled with the text.
  • Uses data from the 2016 General Social Survey and reflects the latest characteristics, behaviors, and attitudes of the U.S. population. 
KEY FEATURES:
  • Includes applications and examples from a wide range of disciplines including sociology, social work, political science, criminal justice, communication, and health studies.
  • Each chapter includes basic research principles, techniques, and effective step-by-step demonstrations of how to use SPSS Statistics to support beginning users who have no prior experience with research or SPSS as well as more advanced users who want to hone their research or data analysis skills.
  • Chapters are structured around instruction techniques followed by concrete, hands-on exercises that encourage students to design their own hypotheses, choose their own variables, and interpret the results.
  • Two final chapters focus on doing primary and secondary research and writing research reports.
  • The text captures students’ curiosity by getting them to do research on issues that already interest them, such as religion, gender roles, the environment, sexual attitudes, and gun control.
  • The authors enliven abstract material with a variety of pedagogical features including
    • Clear tables, screenshots, and illustrations;
    • Writing Boxes that show how a social scientist might describe the findings being discussed;
    • Review Questions to test mastery of the material; and
    • SPSS Statistics Lab Exercises to apply what is being learned.

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