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from Part II - The Pollster as Data Scientist
Published online by Cambridge University Press: 01 November 2024
This chapter covers the concepts of error and bias and their application in practice using a total error framework. This includes a discussion of how to manage both sampling and non-sampling error, and covers ways to assess and address coverage bias, nonresponse bias, measurement error, and estimation error.
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