Poverty and Young Adults

Joan Morris, University of Central Florida
Learning Goals

Diagram a causal relationship between an independent variable and a dependant variable._x000D_
Diagram a causal relationship between four independent variables and a dependant_x000D_
Construct a crosstabulation to investigate the relationship between an independent_x000D_
variable and a dependant variable._x000D_
Explain the relationship between gender, race/ethnicity, educational level, type of_x000D_
geographic area and poverty among young adults._x000D_

Context for Use

This exercise was developed for use in a general sociology course. Students will hypothesize about relationships between race, education, geographic area, and poverty and analyze data sets to determine draw conclusions about variable relationships.

Description and Teaching Materials




This exercise focuses on the effects of various social characteristics on poverty. It is based on the sociological assumption that patterns exist in relation to poverty in society. There is a wide range of sociological research and media coverage on poverty. It is generally accepted that women are more likely to be poor than men, the better educated are less likely to be poor than the poorly educated, and blacks are more likely to be poor than others. The stereotypical media image of poverty is the inner-city ghetto. Thus there is the widespread assumption that urban people are more likely to be poor than those who live in other types of places.
Teaching Notes and Tips

This activity uses a_x000D_
customized data set made from the 2008 Census and guides students_x000D_
through data manipulation using WebCHIP software found at DataCounts!._x000D_
To open WebCHIP with the dataset for the activity, please see_x000D_
instructions and links in the exercise documents under teaching_x000D_
materials. For more information on how to use WebCHIP, see the How To_x000D_
section on DataCounts!

References and Resources