Quantitative Social Science Digital Library Pathway (QSSDL)

Investigators:   George C. Alter, William H. Frey

The Quantitative Social Science Digital Library (QSSDL) Pathway will provide a portal to materials that integrate quantitative analysis in the teaching of the social sciences. Quantitative analysis has long played a key role in social science research, but many students only encounter quantitative data in statistics courses. Influential voices have called for ways to introduce students to data analysis in courses throughout the curriculum. We aim to promote quantitative literacy by helping instructors to find high quality teaching materials that include data for student exercises and research.

We will build on a recent rapid acceleration in the availability of data, the creation of new educational tools, growing interest by instructors in making innovative use of digital resources, and new, team-based and interdisciplinary approaches to building collections of social science data for instruction. By integrating social science into the portfolio of NSDL Pathway projects, QSSDL will add a new resource infrastructure to an existing network of data archives and professional associations to support education, research, and the interactions between the two, and to make a vast body of resources known and available to teachers, students, and informal learners. QSSDL is a partnership of the Inter-university Consortium for Political and Social Research and the Social Science Data Analysis Network, both at the University of Michigan, and the American Sociological Association, the American Political Science Association, and the Association of American Geographers.

Funding Period: 11/01/2008 to 10/31/2011


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Wildeman, "Imprisonment & Infant Mortality," PSC Research Report

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Arland Thornton & Barb Koremenos
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