Testing for the potential for nonresponse bias in sample surveys

Dennis Keith Pearl; David Fairley

doi:10.1086/268950

Testing for the potential for nonresponse bias in sample surveys

Dennis Keith Pearl
, David Fairley

Research output: Contribution to journal › Article › peer-review

51 Scopus citations

Abstract

This article proposes using a statistical hypothesis test to check for the nonresponse bias that results when there is a corrrelation between strength of opinion and reply on issue preference. This idea is developed through an example of two mail polls conducted by a Columbus, Ohio newspaper to ascertain voter preference prior to the November 1983 election.

Original language	English (US)
Pages (from-to)	553-560
Number of pages	8
Journal	Public Opinion Quarterly
Volume	49
Issue number	4
DOIs	https://doi.org/10.1086/268950
State	Published - Dec 1985

All Science Journal Classification (ASJC) codes

Communication
History
Sociology and Political Science
General Social Sciences
History and Philosophy of Science

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abstract = "This article proposes using a statistical hypothesis test to check for the nonresponse bias that results when there is a corrrelation between strength of opinion and reply on issue preference. This idea is developed through an example of two mail polls conducted by a Columbus, Ohio newspaper to ascertain voter preference prior to the November 1983 election.",

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AB - This article proposes using a statistical hypothesis test to check for the nonresponse bias that results when there is a corrrelation between strength of opinion and reply on issue preference. This idea is developed through an example of two mail polls conducted by a Columbus, Ohio newspaper to ascertain voter preference prior to the November 1983 election.

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Testing for the potential for nonresponse bias in sample surveys

Abstract

All Science Journal Classification (ASJC) codes

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