ERIC Number: EJ1362712
Record Type: Journal
Publication Date: 2023
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0141-982X
EISSN: EISSN-1467-9639
Available Date: N/A
Exploring a Complex Gender Wage Gap Dataset: An Introductory Activity in Identifying Issues and Data Visualization
Teaching Statistics: An International Journal for Teachers, v45 n1 p14-21 Spr 2023
In this paper, we provide instructors with an approach for a classroom activity for students in an introductory data science or statistics course who have little or no statistical programming experience. We designed this activity to help students improve their statistical literacy while exploring a social justice problem-the gender wage gap. To minimize the challenges of developing statistical literacy in students who lack programming skills, we developed a web-based data visualization application that does not require users to have any prior programming knowledge. The data in this visualization application comes from the March 2018 Current Population Uniform Extracts detailed by the Center for Economic Policy Research. Students can use the visualization application to create tables and plots to explore data on factors such as earnings and gender. Instructors can also use the application for other wage-related variables, such as race, occupation and family size.
Descriptors: Gender Differences, Salary Wage Differentials, Visual Aids, Statistics Education, Social Justice, Teaching Methods, Class Activities, Introductory Courses, Novices, Web Based Instruction, Programming, Prior Learning
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www-wiley-com.bibliotheek.ehb.be/en-us
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A