Income Inequality in the United States

Author(s)
Tim Thorton, SUNY Brockport
Learning Goals

Skill_x000D_
After using this module, students will gain skills in:_x000D_
Using software to access and analyze census data_x000D_
Identifying independent and dependent variables_x000D_
Employing control variables _x000D_
Forming testable hypotheses using quantitative data_x000D_
Quantitative writing Learning how to construct, read, and interpret bivariate tables displaying frequencies and percentages_x000D_
Using real world data to enhance and support key course concepts

Context for Use

In this exercise designed for an introductory sociology course, students will use WebCHIP and data analysis to assess whether there are income discrepancies related to race and gender.

Description and Teaching Materials

http://ssdan.net/sites/default/files/DataCounts_IncomeInequalityInTheUS…

Assessment

http://www.ssdan.net/datacounts/modules_assessment.html

For this assignment we will explore the impact of gender and race on the earnings of full-time workers in 2000. The purpose of this assignment is to introduce you to some basic data analysis software (WebCHIP), to develop some familiarity with working with data from the Current Population Survey, and to apply what you have learned in the course to try to explain differences in earnings based on race and gender.
Teaching Notes and Tips

This activity uses a customized data set made from the 1990 Census and guides students through data manipulation using WebCHIP software found at DataCounts!. To open WebCHIP with the dataset for the activity, please see instructions and links in the exercise documents under teaching materials. For more information on how to use WebCHIP, see the How To section on DataCounts!

Revision History

http://ssdan.net/sites/default/files/DataCounts_IncomeInequalityInTheUS…

References and Resources

http://www.ssdan.net/datacounts/modules/index/thorton_income_index.shtml