Book contents
- Polls, Pollsters, and Public Opinion
- Methodological Tools in the Social Sciences
- Polls, Pollsters, and Public Opinion
- Copyright page
- Contents
- Figures
- Graphs
- Quadrants
- Tables
- Acknowledgments
- 1 The Three-Hatted Pollster
- Part I The Fundamentals of Public Opinion
- Part II The Pollster as Data Scientist
- 5 Understanding Bias and Error
- 6 Assessing a Single Poll during the 2016 US Presidential Election
- 7 The Case of Grexit and Assessing the Polls in Aggregate
- Part III The Pollster as Fortune Teller
- Part IV The Pollster as Spin Doctor
- Index
6 - Assessing a Single Poll during the 2016 US Presidential Election
from Part II - The Pollster as Data Scientist
Published online by Cambridge University Press: 01 November 2024
- Polls, Pollsters, and Public Opinion
- Methodological Tools in the Social Sciences
- Polls, Pollsters, and Public Opinion
- Copyright page
- Contents
- Figures
- Graphs
- Quadrants
- Tables
- Acknowledgments
- 1 The Three-Hatted Pollster
- Part I The Fundamentals of Public Opinion
- Part II The Pollster as Data Scientist
- 5 Understanding Bias and Error
- 6 Assessing a Single Poll during the 2016 US Presidential Election
- 7 The Case of Grexit and Assessing the Polls in Aggregate
- Part III The Pollster as Fortune Teller
- Part IV The Pollster as Spin Doctor
- Index
Summary
This chapter applies the total error framework presented in Chapter 5 to a case example of preelection polling during the 2016 US presidential election. Here, the focus is on problems with a single poll.
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- Polls, Pollsters, and Public OpinionA Guide for Decision-Makers, pp. 83 - 93Publisher: Cambridge University PressPrint publication year: 2024