Quantitative Data Analysis

Author(s)

James A. Vela-McConnell
Augsburg College

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.

Learning Goals

Skill
The learning objectives regarding quantitative data analysis include:

  • To gain exposure to working with numerical data.
  • To learn how to read and interpret univariate, bivariate, and multivariate tables.

Substance
The learning objectives regarding the content of sociology include:

  • To recognize the earnings consequences of one's level of education.
  • To understand how the relationship between education and earnings have changed over time.
  • To understand how the relationship between education and earnings changes when taking race into account.
  • 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).

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!

Assessment

References and Resources

File Attachment(s)