PERCEIVE. WP2. Evaluation of EU citizens' perception of the EU project. Mapping Citizens’ Identification with EU

Calia, Pinuccia (2019) PERCEIVE. WP2. Evaluation of EU citizens' perception of the EU project. Mapping Citizens’ Identification with EU. University of Bologna. DOI 10.6092/unibo/amsacta/6226. [Dataset]
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Abstract

This data set contains data for estimating the “Ident_EU” probabilistic model used to classify EU citizens and regions according to their different patterns of identification with EU during PERCEIVE project. The model specification and its results are described in Deliverable D2.4 from the PERCEIVE project (http://doi.org/10.6092/unibo/amsacta/6113) and in Brasili, Calia and Monasterolo (2019, https://doi.org/10.1111/rsp3.12227). The file PERCEIVE_WP2_Ident_EU_DATA.csv includes as input variables a set of indicators and individual characteristics derived from the responses to the questions in the PERCEIVE Survey (http://doi.org/10.5281/zenodo.3346047), as well as regional characteristics derived from the PERCEIVE regional panel dataset (https://doi.org/10.5281/zenodo.3346052). It contains also the output variables produced by model estimation: the membership’s probabilities and the clusters’ classification for individuals and regions. The file PERCEIVE_WP2_Ident_EU_LG_syntax.txt contains the commands (syntax model) that can be used for the specification of the “Ident_EU” model with the software used for the analysis, Latent GOLD®.

Abstract
Document type
Dataset
Creators
CreatorsAffiliationORCID
Calia, PinucciaUniversità di Bologna0000-0002-6638-4081
Subjects
DOI
Contributors
NameAffiliationORCIDType
Calia, PinucciaUniversità di Bologna0000-0002-6638-4081Contact person
Deposit date
09 Sep 2019 07:45
Last modified
09 Sep 2019 08:54
Related identifier
Related identifier typeRelation typeCode
DOIthis upload is supplemented byhttps://doi.org/10.1111/rsp3.12227
Project name
PERCEIVE - Perception and Evaluation of Regional and Cohesion policies by Europeans and Identification with the Values of Europe
Funding program
EC - H2020
URI

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