Quantitative Data Analysis

James A. Vela-McConnell, Augsburg College
Learning Goals

The learning objectives regarding quantitative data analysis include:_x000D_
To gain exposure to working with numerical data._x000D_
To learn how to read and interpret univariate, bivariate, and multivariate tables._x000D_
The learning objectives regarding the content of sociology include:_x000D_
To recognize the earnings consequences of one’s level of education._x000D_
To understand how the relationship between education and earnings have changed over time._x000D_
To understand how the relationship between education and earnings changes when taking race into account._x000D_
To understand how the relationship between education, earnings, and race has changed over time.

Context for Use

In this exercise designed a for Race, Class and Gender course, students will look at how the relationship between education, family and earnings over time in the United States.

Description and Teaching Materials

Please see File Attachment(s).



Students will analyze quantitative data and interpret the results, learning about the relevance of education and family type to earnings, how it has changed over time and the relevance of race in understanding these relationships.
Teaching Notes and Tips

This activity uses a customized data set made from combining census information from 1950-1990 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