Synopses & Reviews
This combination text and workbook teaches beginning sociology students how they can use statistical measures and archival data to test hypotheses about the social world. Popular features in this text include:
- A hands-on, active approach to learning that encourages students to do real data analysis in the first sociology courses
- Step-by-step instructions that guide students through each activity
- Activities followed by a set of self-test questions that help students test their understanding of the data
- Exercises written to use the General Social Survey, U.S. Census, National Election Surveys, and other professional quality datasets
- An overview in Chapter 1 of basic terms and techniques, such as hypothesis testing, survey research, sampling, descriptive statistics and tests of statistical significance, and chi-square analysis
- A wide range of topics, including family lifestyles and change, political values and behavior, religious affiliation, crime, drug use, gambling, aging, urbanization/suburbanization
Synopsis
This combination text/workbook teaches beginning sociology students how they can use statistical measures and archival data to test hypotheses about the social world.
About the Author
"Hands-On Sociology" won the 2005 ICPSR Prize Competition: Best Instructional Module or Instructional Innovation in the Social Sciences and Social Science History. "Hands-On Sociology" won for its outstanding contribution to instruction in the quantitative social sciences.
Table of Contents
Acknowledgments.
Preface.
1. Fundamentals of Sociological Analysis With Archival Survey Data.
2. Using SDA at Home or in Campus Computer Labs.
3. Getting Started: Analyzing the Correlates of Abortion Attitudes.
4. Culture and Ethnic Diversity.
5. Urbanization and Suburbanization.
6. Finer Points of Crosstabular Analysis.
7. Socialization.
8. Social Stratification and Social Mobility.
9. Minority/Majority Relations.
10. The American Family.
11. Aspects of American Political Life.
12. Crime and Violence: Serious American Social Problems.
13. Youth Problems.
14. Population.
15. Dealing With Continuous Data and Still More Complex Data Analysis Problems.
16. Multiple and Logistic Regression.