Adventures in Social Research
SAGE Publications Inc (Verlag)
978-1-4833-5958-8 (ISBN)
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Written by esteemed social science research authors, this book encourages students to practice SPSS as they read about it, providing a practical, hands-on introduction to conceptualization, measurement, and association through active learning. This fully revised workbook will guide students through step-by-step instruction on data analysis using the latest version of SPSS and the most up to date General Social Survey data. Arranged to parallel most introductory research methods texts, this text starts with an introduction to computerized data analysis and the social research process, then walks readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics. In this revised edition, active and collaborative learning will be emphasized as students engage in a series of practical investigative exercises.
New to this edition:
The text is fully updated to include screenshots and instructions for the latest release of SPSS
Reflects the most current GSS data, ensuring that students are exposed to the most current data available
All exercises are fully compatible with SPSS Student Version 22, which can be bundled with the text
Ch. 15 (Tests of Significance) has been divided into two shorter, more manageable chapters, furthering student comprehension
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 Chair of the Department of Sociology at California State University, Dominguez Hills and Executive Director of the Social Science Research & Instructional Council of the CSU. He is co-author of Adventures in Social Research, 11th edition (SAGE, 2022), 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, 7th edition (SAGE, 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 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.
Part I: Preparing for Data Analysis
Chapter 1: Introduction: The Theory and Practice of Social Research
Overview
Why Use a Computer?
SPSS Statistics
Social Research: A Primer
Theories and Concepts: Deprivation Theory
Hypotheses and Variables: Religiosity
Social Research Strategies: Inductive and Deductive
Theory and Research in Practice
Conclusion
Main Points
Key Terms
Review Questions
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
Main Points
Key Terms
Review Questions
Chapter 3: Description of Data Sets: The General Social Survey
Sampling
Data Collection
The Codebook: Appendix A
Conclusion
Main Points
Key Terms
Review Questions
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
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 4.1
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
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 5.1
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
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 6.1
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
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 7.1
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
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 8.1
Chapter 9: Suggestions for Further Analysis
Desired Family Size
Demonstration 9.1: Respondents’ Ideal Family Size (CHLDIDEL)
Child Training
Demonstration 9.2: Important Qualities for Children
Attitudes About Sexual Behavior
Demonstration 9.3: Index of Sexual Permissiveness
Prejudice
Conclusion
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 9.1
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
Interpreting Crosstabs With Ordinal Variables
Demonstration 10.5: Correlating Other Measures of Religiosity and Age
Conclusion
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 10.1
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
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 11.1
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
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 12.1
Chapter 13: Measures of Association for Nominal and Ordinal Variables
The Logic of Statistical Association: Proportionate Reduction of Error
Lambda (l): A Measure Appropriate for Nominal Variables
Demonstration 13.1: Instructing SPSS Statistics to Calculate Lambda (l)
Interpreting Lambda and Other Measures
Gamma (g): A Measure Appropriate for Ordinal Variables
Demonstration 13.2: Instructing SPSS Statistics to Calculate Gamma (g)—Example 1
Demonstration 13.3: Running Gamma (g)—Example 2 (Reverse Scoring Case)
Additional Measures of Association
Analyzing the Association Between Variables at Different Levels of Measurement
Conclusion
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 13.1
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 RINCOM06 ® 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
An Indication of Direction and Strength of Association
Measures of Association for Interval and Ratio Variables
Analyzing the Association Between Variables at Different Levels of Measurement
Conclusion
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 14.1
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
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 15.1
Chapter 16: Suggestions for Further Bivariate Analyses
Demonstration 16.1: Desired Family Size
Demonstration 16.2: Investigating Sexual Permissiveness Further
Additional Resources
Conclusion
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 16.1
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
Recoding SEX to Create a Dummy Variable: MALE
Recoding RACE to Create a Dummy Variable: WHITE
Multiple Regression
Conclusion
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 17.1
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
Conclusion
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 18.1
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
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 19.1
Chapter 20: Suggestions for Further Multivariate Analyses
Ideal Family Size and Abortion
Child Training
The Protestant Ethic
Capital Punishment, Gender, and Race
Demonstration 20.1: CAPPUN by SEX
Demonstration 20.2: CAPPUN by SEX, Controlling for RACE
Conclusion
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 20.1
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
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
Demonstration 21.5: Accessing File Information for Coding and Editing
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
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
SPSS Statistics Lab Exercise 21.1
Chapter 22: Further Opportunities for Social Research
The Unabridged GSS
Other Data Sets
Other Computer Programs
Conclusion
Main Points
Key Terms
SPSS Statistics Commands Introduced in This Chapter
Review Questions
Appendix A: The Codebook
Appendix B: Questionnaire for Class Survey
Index/Glossary
| Erscheint lt. Verlag | 19.5.2015 |
|---|---|
| Verlagsort | Thousand Oaks |
| Sprache | englisch |
| Maße | 215 x 279 mm |
| Gewicht | 1140 g |
| Themenwelt | Schulbuch / Wörterbuch |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-10 | 1-4833-5958-1 / 1483359581 |
| ISBN-13 | 978-1-4833-5958-8 / 9781483359588 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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