Exploring a Complex Gender Wage Gap Dataset: An Introductory Activity in Identifying Issues and Data Visualization

Autor/inn/en	Lasater, Robert S.; Joseph, Anny-Claude; Cummiskey, Kevin
Titel	Exploring a Complex Gender Wage Gap Dataset: An Introductory Activity in Identifying Issues and Data Visualization
Quelle	In: Teaching Statistics: An International Journal for Teachers, 45 (2023) 1, S.14-21 (8 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Lasater, Robert S.) ORCID (Joseph, Anny-Claude) ORCID (Cummiskey, Kevin)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0141-982X
DOI	10.1111/test.12319
Schlagwörter	Gender Differences; Salary Wage Differentials; Visual Aids; Statistics Education; Social Justice; Teaching Methods; Class Activities; Introductory Courses; Novices; Web Based Instruction; Programming; Prior Learning + Suchen Sie Ihr Suchwort? Geschlechterkonflikt; Anschauungsmaterial; Soziale Gerechtigkeit; Teaching method; Lehrmethode; Unterrichtsmethode; Einführungskurs; Web Based Training; Programmierung; Vorkenntnisse
Abstract	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. (As Provided).
Anmerkungen	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/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01