README file
Data Set Title: “PERCEIVE: WP2: Evaluation of EU citizens’ perception of the EU project: Key variables for citizens' identification with EU”

Data subset Author and Contact Person: Vicente Royuela (Universitat de Barcelona), ORCID http://orcid.org/0000-0002-7647-0063, vroyuela@ub.edu 

License: this data subset is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, https://creativecommons.org/licenses/by/4.0/. 

Publication Year: 2019
Project Info: PERCEIVE (Perception and Evaluation of Regional and Cohesion Policies by Europeans and Identification with the Values of Europe), funded by European Union, Horizon 2020 Programme. Grant Agreement num. 693529; https://www.perceiveproject.eu/.  
Data subset Contents

The data subset consists of:
•	1 tabular quantitative file saved in .csv format 
“PERCEIVE_WP2_D22_Principal_Components_Factor_Analysis.csv”
•	1 README file 
“PERCEIVE_WP2_D22_Principal_Components_Factor_Analysis_README.rtf”
Data subset Documentation
Abstract
This data subset corresponds to quantitative outputs derived from section 7 of deliverable D22, titled “Mapping the determinants of EU citizen’s perception and identification”. This section considers multivariate techniques. We use principal components to summarize several aspects, such as identification with the EU, that were collected by several variables in the survey; and we use common factors in order to proxy theoretical dimensions of citizens’ identification with the European Union. Given the qualitative nature of collected variables, being most of them ordinal, multivariate analysis is grounded on the use of correlation matrices that are expected to result from quantitative variables. Consequently, we consider the use of polychoric correlation matrices for building our factor analysis.

Content of the file: 
•	file PERCEIVE_WP2_D22_Principal_Components_Factor_Analysis.csv contains two principal components for the following aspects: 
o	Identification with Europe; 
o	Individual knowledge of EU and EU policies; 
o	Individual perception of Cohesion Policy;
o	Individual perception of reality;
o	We also include the factors resulting from the analysis of Determinants of European Identity, both rotated  and not rotated 
o	The file also include the personal identification of the PERCEIVE Survey (Data Set 3). This allows to connect these results with the other PERCEIVE datasets.
 
File specifics
The file is available in a csv format, being the Field delimiter « , » (comma)

Notes 
The deliverable D2.2 “Mapping the determinants of EU citizen’s perception and identification” can be downloaded at:
https://doi.org/10.5281/zenodo.1317956  (Zenodo)
http://doi.org/10.6092/unibo/amsacta/5765  (AMS Acta)

Methodologies 
Results were obtained using Stata 14. 
Principal components were obtained using pca command, considering polychoric correlations obtained by the command polychoric. 
Similarly, factor analysis was developed using the Stata’s factormat command, using again the polychoric matrices. 

Codebook of variables 
Here are listed the column names used in the file. In square brackets are indicated the corresponding new variables resulting from principal component analysis and from factor analysis 

o	Identification with Europe [CA_1, CA_2]; 
o	Individual knowledge of EU and EU policies [CB_1, CB_2]; 
o	Individual perception of Cohesion Policy [CC_1, CC_2];
o	Individual perception of reality [CD_1, CD_2];
o	We also include the factors resulting from the analysis of Determinants of European Identity, both rotated [Det_r1 … Det_r7] and not rotated [Det_1 … Det_7]
o	The file also include the personal identification of the PERCEIVE Survey [ID]. This allows to connect these results with the other PERCEIVE datasets.