Analyzing the Effect of Regional Modality in Polling Surveys

A Case Study of the 2020 U.S. Presidential Election Results in Florida

Dados Bibliográficos

ID7571129
AutoresEric Levy (Florida Atlantic University, Boca Raton, USA), Eric P Levy (0000-0002-6988-9771, Florida Atlantic University, autor correspondente), ERIC Chiang (Florida Atlantic University, Boca Raton, USA), Eric P Chiang (0000-0003-3037-7776, Florida Atlantic University), Ting Levy (Florida Atlantic University, Boca Raton, USA)
Ano2023
Páginas000276422311668
Data de publicação2023-05-10
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoAmerican Behavioral Scientist (JOURNAL)
Identificadores do periódicoISSN: 0002-7642 • E-ISSN: 1552-3381
EditoraSAGE Publications (PUBLISHER • US)
DOI10.1177/00027642231166879
OpenAlexW4376107437
IdiomaEN
Referências citadas11

Pre-election polls have been conducted using different modes of data collection with varying degrees of accuracy. As media’s appetite for horserace polling increased, the demand for all types of data collection increased, raising the price of achieving a representative sample. Mixing modes of data collection have been popular due to the increased cost of polling using traditional methods such as face-to-face interviews, mail-in surveys, or live operator phone surveys. Due to technological advances in self-administered surveys, other forms of data collection provide more cost-effective solutions. Florida Atlantic University’s Business and Economics Polling Initiative conducted political polls throughout the fall of 2020 in anticipation of the general election for President of the United States. This unique dataset from polls conducted in September and October of 2020 showed interactive voice response (IVR) landline polling to be the most accurate statewide and across most regions of Florida. The survey data collected via opt-in online panels and via mobile phone text messaging exhibited results outside of the margin of error for certain regions. However, given the trend of declining landline phones and greater instances of exclusive mobile phone usage, polling by way of online and mobile phone surveys is becoming increasingly important

Advertising · Business · Data collection · Landline · Mobile phone · Phone · Polling · Sampling frame · Sociology · Statistics · Survey data collection · Telecommunications · Computer Science · Demography · Human Mobility and Location-Based Analysis · Social Media and Politics · Survey Methodology and Nonresponse