z-logo
open-access-imgOpen Access
Online Polls and Registration-Based Sampling: A New Method for Pre-Election Polling
Author(s) -
Michael Barber,
Christopher Mann,
J. Quin Monson,
Kelly D. Patterson
Publication year - 2014
Publication title -
political analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.953
H-Index - 69
eISSN - 1476-4989
pISSN - 1047-1987
DOI - 10.1093/pan/mpt023
Subject(s) - polling , voting , computer science , general election , sample (material) , turnout , sampling (signal processing) , voter registration , sample size determination , public opinion , econometrics , political science , statistics , mathematics , politics , telecommunications , law , chemistry , chromatography , detector , operating system
This article outlines a new method for surveys to study elections and voter attitudes. Pre-election surveys often suffer from an inability to identify and survey the likely electorate for the upcoming election. We propose a new and inexpensive method to conduct representative surveys of the electorate. We demonstrate the performance of our method in producing a representative sample of the future electorate that can be used to study campaign dynamics and many other issues. We compare pre-election outcome forecasts to election outcomes in seven primary and general election surveys conducted prior to the 2008 and 2010 primary and general elections in three states. The results indicate that the methodology produces representative samples, including in low-turnout elections such as primaries where traditional methods have difficulty consistently sampling the electorate. This new methodology combines Probability Proportional to Size (PPS) sampling, mailed invitation letters, and online administration of the questionnaire. The PPS sample is drawn based on a model employing variables from the publicly available voter file to produce a probability of voting score for each individual voter. The proposed method provides researchers a valuable tool to study the attitudes of the voting public.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom