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Overview of Michigan's advanced research computing resources, Monday, June 27, 9-10:30 am, BSRB - Kahn Auditorium

U-M's Data Science Initiative offers expanded consulting services via CSCAR

Elizabeth Bruch promoted to Associate Professor

Susan Murphy elected to the National Academy of Sciences

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PSC Brown Bags
will resume fall 2016

Mick P. Couper photo

Computer Assisted Survey Information Collection

Publication Abstract

Couper, Mick P., R.P. Baker, J. Bethlehem, C. Clark, J. Martin, W.L. Nicholls II, and J. O'Reilly. 1998. Computer Assisted Survey Information Collection. New York: Wiley.

Computer Assisted Survey Information Collection is the most up-to-date and authoritative resource available on CASIC methods and issues. Its comprehensive treatment provides the scope needed to evaluate past development and implementation of CASIC designs, to anticipate its future directions, and to identify new areas for research and development. Supplemented with copious tables, figures, and references as well as an extensive glossary, Computer Assisted Survey Information Collection provides a solid foundation in CASIC for seasoned research-survey practitioners and graduate students across a broad spectrum of social science disciplines.

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