Bias and Credibility in "Internet Samples" for Policy Research: Data-driven Comparisons

Jacobs, Lawrence R.
2009-03-26
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Bias and Credibility in "Internet Samples" for Policy Research: Data-driven Comparisons

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2009-03-26

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Bias and Credibility in "Internet Samples" for Policy Research: Data-driven Comparisons Bill McCready, Vice President, Government & Academic Research Group, Knowledge Networks Dr. McCready is responsible for working with academic, government, and non-profit clients to help them design projects that use the Knowledge Networks Panel. He has worked with the Bureau of the Census' evaluation, Stanford & the University of Michigan's ANES, the University of Pennsylvania's Annenberg School’s 2008 election project and with several PIs from the University of Minnesota. He has worked in the survey research field for more than 40 years, both as the first Program Director at NORC at the University of Chicago and then directed the Public Opinion Lab at Northern Illinois University. He has directed the CDC-funded Illinois BRFSS as well as projects for the Ford Foundation, the Smithsonian Institution, NIAAA, and McDonald's Corporation and is a past member the National Academy of Science's Committee for a National Urban Policy.

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Jacobs, Lawrence R.. (2009). Bias and Credibility in "Internet Samples" for Policy Research: Data-driven Comparisons. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/216917.

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