Benoit, K;
Laver, M;
Lowe, W;
Mikhaylov, S;
(2012)
How to scale coded text units without bias: A response to Gemenis.
Electoral Studies
, 31
(3)
pp. 605-608.
10.1016/j.electstud.2012.05.004.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | How to scale coded text units without bias: A response to Gemenis |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.electstud.2012.05.004 |
| Publisher version: | http://dx.doi.org/10.1016/j.electstud.2012.05.004 |
| Language: | English |
| Additional information: | Copyright © 2012. This manuscript version is published under a Creative Commons Attribution Non-commercial Non-derivative 4.0 International licence (CC BY-NC-ND 4.0). This licence allows you to share, copy, distribute and transmit the work for personal and non-commercial use providing author and publisher attribution is clearly stated. Further details about CC BY licences are available at http://creativecommons.org/licenses/by/4.0. |
| Keywords: | CMP, Manifestos, Policy positions |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Political Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1357795 |
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