Investigating Children in Poverty

Author(s)
Kathy Rowell, Sinclair Community College
Learning Goals

Skill _x000D_
After the completion of this module, the learner should be able to:_x000D_
Demonstrate the ability to state a hypothesis._x000D_
Demonstrate an understanding of both the dependent and independent variable._x000D_
Demonstrate how to create a cross-tabulation using both frequencies and percentages._x000D_
Examine and use web resources to explore possible policy implications of data findings in this module._x000D_
Substance _x000D_
Explain how each of the following variables is related to child poverty within the United States: Race, Age, Family Type, Family Size, and Immigrant Status_x000D_
Explain what is meant by the term feminization of poverty_x000D_
Demonstrate an effective use of the sociological imagination

Context for Use

Students in this sociology class will evaluate and analyze if age, race, and/or family size affect children in poverty in the United States.

Description and Teaching Materials

Module:_x000D_
http://ssdan.net/sites/default/files/DataCounts_InvestigatingChildrenPo…

Assessment

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

Students will form hypotheses and analyze data to explore the how of age, race, and family size impact children in poverty in the United States.
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!

References and Resources

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