2015London School of Economics and Political Science Research Online (London School of Economics and Political Science)Open access

Why the pre-election polls get it so wrong: Is it time to take probability sampling seriously?

Oliver Heath

Open full text 0 citations

Abstract

Many of the lessons from the polling debacle of 1992 have been learned, but it may be time to address the underlying causes of the error rather than just treating the symptoms, writes Oliver Heath.

Open-access reader

About this research paper

What this paper is about

Many of the lessons from the polling debacle of 1992 have been learned, but it may be time to address the underlying causes of the error rather than just treating the symptoms, writes Oliver Heath.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Many of the lessons from the polling debacle of 1992 have been learned, but it may be time to address the underlying causes of the error rather than just treating the symptoms, writes Oliver Heath.

Key concepts: Polling, Probability sampling, Sampling (signal processing), Computer science, Political science, Sociology, Telecommunications, Demography

Related papers

Back to paper searchBrowse research topicsOriginal source
Why the pre-election polls get it so wrong: Is it time to take probability sampling seriously? — Research Paper | ScholarLens