NDLI: Exploiting VAA-Generated Data to Identify Policy Dimensions: The Case of England

Content Provider	IEEE Xplore Digital Library
Author	Wheatley, J.
Copyright Year	2014
Description	Author affiliation: Zentrum fuer Demokratie Aarau (ZDA), Aarau, Switzerland (Wheatley, J.)
Abstract	Political scientists often talk about "ideological dimensions" that aggregate related policy issues into a single latent construct. Typical examples of ideological dimensions are (economic) Left versus Right and (socially) liberal versus conservative. In this paper I show how individual issues may be aggregated into three ideological dimensions in England by drawing from opinion data derived from the EUvox Voting Advice Application launched shortly before the May 2014 elections to the European Parliament. I go on to map the positions of party supporters with respect to the dimensions I identify. Unlike many other studies of dimensionality, the dimensions are not defined a priori, but are generated inductively from the opinion data using a combination of Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Mokken Scale Analysis. The results suggest that a cultural dimension that measures the degree of openness to outside influences such as the EU and immigration better distinguishes the main political parties in England than the traditional (economic) Left-Right dimension.
Starting Page	118
Ending Page	123
File Size	758548
Page Count	6
File Format	PDF
ISBN	9781479968138
e-ISBN	9781479968145
DOI	10.1109/SMAP.2014.16
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-06
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics ideological dimensions Loading Europe Nominations and elections Confirmatory Factor Analysis parties Mokken Scale Analysis Eigenvalues and eigenfunctions Cultural differences Load modeling Exploratory Factor Analysis
Content Type	Text
Resource Type	Article

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