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Issue title: StatisticsLiteracy
Article type: Research Article
Authors: Meier, Ann | McCaa, Robert | Lam, David
Affiliations: Associate Professor of Sociology, Department of Sociology and the Minnesota Population Center, University of Minnesota, USA | Professor of Population History, Department of History and Minnesota Population Center, and Principal Investigator of IPUMS-International projects, University of Minnesota, USA | Professor of Economics and Director of the Population Studies Center, University of Michigan, USA
Note: [] Corresponding author: Professor of Population History, Department of History and Minnesota Population Center, and Principal Investigator of IPUMS-International projects, University of Minnesota, Minnesota Population Center, 50 Willey Hall, 225 19th Ave S., Minneapolis, MN 55455, USA. Tel.: +1 952 334 7867; Fax: +1 612 826 8375; E-mail: rmccaa@umn.edu
Abstract: Census microdata are ideal for developing statistical literacy of university students. Access, particularly to internationally comparable microdata, has been a significant obstacle. The IPUMS-International project offers a uniform solution to providing access for policy analysts, researchers, and students to integrated microdata and metadata, while protecting statistical confidentiality. Eighty-five official statistical agencies have endorsed IPUMS-I dissemination principles and entrusted microdata for 249 censuses to the project. From June 2010, 159 integrated samples, representing 55 countries and totaling over 325 million person records, are available at no cost to researchers and their students. The database is being expanded with the addition of samples for 5–10 countries per year as well as samples for the 2010 round of censuses. This paper illustrates two approaches to using IPUMS-I census microdata in the university curriculum to promote statistical literacy among undergraduates.
Keywords: Census microdata, statistical literacy, microdata access, integrated samples, university students
DOI: 10.3233/SJI-2011-0733
Journal: Statistical Journal of the IAOS, vol. 27, no. 3-4, pp. 145-156, 2011
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