After completing this module, students will be able to:_x000D_
Access and use data from the Census and the American Community Survey to examine the relationship between two variables._x000D_
Interpret a frequency table._x000D_
Interpret a cross-tabulation._x000D_
Use information from a cross-tab to draw conclusions about the relationship between two variables._x000D_
Write clear conclusions based on data, and support these conclusions with numerical evidence._x000D_
Use findings from quantitative data on employment status to discuss implications for “productive aging” initiatives, civic engagement, and labor force participation in later life._x000D_
Use quantitative data to document the tripartitioned life course._x000D_
Apply quantitative data analysis to make relevant policy recommendations.
This assignment is used in a junior-level undergraduate course on the sociology of aging. The class size is approximately 30 students. Students are allowed to work individually or in small teams to complete the project. The instructor illustrates the website and practices accessing, using, and interpreting results with the students during class. After covering the related course material, the assignment is then distributed to students and they have three weeks to complete the project. The biggest challenge the students face is correctly choosing which way to percentage their cross-tabs. Additional time discussing this issue during class is advisable.
Exercises PDF: https://ssdan.web.itd.umich.edu/sites/default/files/Datacounts_Healthan…
It is especially important to demonstrate the use of the website and data with students during class. Students generally need a detailed explanation of how to use and interpret the data. This is particularly true for producing cross-tabs. Instructors should spend some class time explaining why it is valuable to look at a two-variable relationship and how to correctly percentage a cross-tab.
Original Archive Module: https://ssdan.web.itd.umich.edu/sites/default/files/Datacounts_Healthan…