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
5 - Understanding Bias and Error
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 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.
- Type
- Chapter
- Information
- Polls, Pollsters, and Public OpinionA Guide for Decision-Makers, pp. 55 - 82Publisher: Cambridge University PressPrint publication year: 2024