Disentangling Bias and Variance in Election Polls
Volume: 113, Issue: 522, Pages: 607 - 614
Published: Mar 14, 2018
Abstract
It is well known among researchers and practitioners that election polls suffer from a variety of sampling and nonsampling errors, often collectively referred to as total survey error. Reported margins of error typically only capture sampling variability, and in particular, generally ignore nonsampling errors in defining the target population (e.g., errors due to uncertainty in who will vote). Here, we empirically analyze 4221 polls for 608...
Paper Details
Title
Disentangling Bias and Variance in Election Polls
Published Date
Mar 14, 2018
Volume
113
Issue
522
Pages
607 - 614
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