How to scale coded text units without bias: A response to Gemenis

Coding non-manifesto documents as if they were genuine policy platforms produced at election time clearly raises serious issues with error when these codings are used in the standard manner to estimate left-right policy positions. In addition to the long term solution of improving the document base...

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Main Authors: BENOIT, Kenneth, LAVER, Michael, LOWE, Will, MIKHAYLOV, Slava
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
CMP
Online Access:https://ink.library.smu.edu.sg/soss_research/3984
https://ink.library.smu.edu.sg/context/soss_research/article/5242/viewcontent/Benoitetal_ElStudies_2012_pv.pdf
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spelling sg-smu-ink.soss_research-52422024-09-02T06:21:17Z How to scale coded text units without bias: A response to Gemenis BENOIT, Kenneth LAVER, Michael LOWE, Will MIKHAYLOV, Slava Coding non-manifesto documents as if they were genuine policy platforms produced at election time clearly raises serious issues with error when these codings are used in the standard manner to estimate left-right policy positions. In addition to the long term solution of improving the document base of the Manifesto Project identified by Gemenis (2012), we argue that immediate gains in manifesto-based estimates of policy positions can be realised by using the confrontational logit scales from Lowe et al. (2011), which addresses the problems of scale content and scale construction that are exacerbated by but not unique to the problems found in proxy documents. 2012-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soss_research/3984 info:doi/10.1016/j.electstud.2012.05.004 https://ink.library.smu.edu.sg/context/soss_research/article/5242/viewcontent/Benoitetal_ElStudies_2012_pv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School of Social Sciences eng Institutional Knowledge at Singapore Management University CMP manifestos policy positions Models and Methods Political Science
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic CMP
manifestos
policy positions
Models and Methods
Political Science
spellingShingle CMP
manifestos
policy positions
Models and Methods
Political Science
BENOIT, Kenneth
LAVER, Michael
LOWE, Will
MIKHAYLOV, Slava
How to scale coded text units without bias: A response to Gemenis
description Coding non-manifesto documents as if they were genuine policy platforms produced at election time clearly raises serious issues with error when these codings are used in the standard manner to estimate left-right policy positions. In addition to the long term solution of improving the document base of the Manifesto Project identified by Gemenis (2012), we argue that immediate gains in manifesto-based estimates of policy positions can be realised by using the confrontational logit scales from Lowe et al. (2011), which addresses the problems of scale content and scale construction that are exacerbated by but not unique to the problems found in proxy documents.
format text
author BENOIT, Kenneth
LAVER, Michael
LOWE, Will
MIKHAYLOV, Slava
author_facet BENOIT, Kenneth
LAVER, Michael
LOWE, Will
MIKHAYLOV, Slava
author_sort BENOIT, Kenneth
title How to scale coded text units without bias: A response to Gemenis
title_short How to scale coded text units without bias: A response to Gemenis
title_full How to scale coded text units without bias: A response to Gemenis
title_fullStr How to scale coded text units without bias: A response to Gemenis
title_full_unstemmed How to scale coded text units without bias: A response to Gemenis
title_sort how to scale coded text units without bias: a response to gemenis
publisher Institutional Knowledge at Singapore Management University
publishDate 2012
url https://ink.library.smu.edu.sg/soss_research/3984
https://ink.library.smu.edu.sg/context/soss_research/article/5242/viewcontent/Benoitetal_ElStudies_2012_pv.pdf
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