README file
Data Set Title: “CATCH-EyoU. Processes in Youth’s Construction of Active EU Citizenship. Cross-national Longitudinal (Wave 1 and 2) Questionnaires. EXTRACT. Adolescents’ Patterns of Citizenship Orientations in Italy, Sweden, Germany, Greece, Czech Republic”
Data Set Authors: Elvira Cicognani (University of Bologna), https://orcid.org/0000-0002-8653-290X; Peter Noack (University of Jena); Petr Macek (Masaryk University), https://orcid.org/0000-0002-6977-5811.
Data Set Contributors: Iana Tzankova (University of Bologna), https://orcid.org/0000-0001-7172-2009; Gabriele Prati (University of Bologna), https://orcid.org/0000-0002-0749-183X; Katharina Eckstein (University of Jena), https://orcid.org/0000-0003-2603-763X; Erik Amnå (Orebro University), https://orcid.org/0000-0001-8311-0982; Frosso Motti-Stefanidi (National and Kapodistrian University of Athens).
Data Set Contact Person: Iana Tzankova (University of Bologna), https://orcid.org/0000-0001-7172-2009, iana.tzankova2@unibo.it.
Data Set License: this data set is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, https://creativecommons.org/licenses/by/4.0/.
Publication Year: 2020
Project Info: CATCH EyoU (Constructing AcTive CitizensHip with European YOUth: Policies, Practices, Challenges and Solutions), funded by European Union, Horizon 2020 Programme, Grant Agreement num. 649538, http://www.catcheyou.eu/.
Data set Contents
The data set consists of: 
•	1 quantitative file saved in .csv format
“CATCHEyoU_WP7_Cross-national_LongitudinalAdolescentPatterns.csv” 
It contains a spreadsheet with 16 variables taken from the Cross-national CATCH-EyoU Waves 1 and 2 Questionnaires data (see https://zenodo.org/record/1313646) 
•	1 README file saved in .rtf format
README_CATCHEyoU_WP7_Cross-national_LongitudinalAdolescentPatterns.rtf

Data set Documentation
Abstract
This dataset contains the underlying data of the following article published in the journal Youth & Society:
Tzankova, I., Prati, G., Eckstein, K., Noack, P., Amnå, E., Motti-Stefanidi, F., Macek, P., & Cicognani, E. (2020). Adolescents’ patterns of citizenship orientations and correlated contextual variables: Results from a two-wave study in five European countries. Youth & Society. https://doi.org/10.1177/0044118X20942256 
The dataset consists of longitudinal quantitative data collected in Italy, Sweden, Germany, Greece and the Czech Republic within Work Package 7 of the research project CATCH EyoU (Constructing AcTive CitizensHip with European YOUth: Policies, Practices, Challenges and Solutions). The sample consists of 1914 adolescents between 14 and 19 years old. They participated in the study on a voluntary basis and filled paper and online questionnaires, after receiving an invitation from the researchers and a presentations of the aims of the study. The data was used in the analysis of patterns of citizenship orientations identified by civic and political participation, political interest and political trust, as well as their association with contextual variables at a one year interval. In particular, the following variables are included: age, gender, parents’ education, perceived income, migrant background, school track, peer and family norms of participation, democratic school climate, student participation at school, school quality of participation, sense of community, civic and political participation, political interest, political trust.
This data is made available for open access in compliance with H2020 Program regulation, following the guidelines stipulated by the Data Management Plan adopted by the CATCH-EyoU research project. 
File specifics
The dataset file was generated through IBM SPSS Software. 
Codebook of variables 
Variable name	Variable description (item)	Values	
A_Age	[T1] How old are you?	Age in years
88; 99 = Missing values	
A_Gender	[T1] Gender	0 = Female
1 = Male
2 = Other
88; 99 = Missing values	
A_Income	[T1] Does the money your household has cover everything your family needs?	1 = Not at all
2 = Partly
3 = Mostly
4 = Fully
88; 99 = Missing values	
A_ParentEdu	[T1] Mean mother's and father's level of education	1 = Not completed lower secondary education
2 = Completed lower secondary education
3 = Completed upper secondary education
4 = Completed higher education
88; 99 = Missing values	
A_Migrant	[T1] Migrant background: born abroad or parent(s) born abroad	0 = Migrant background; 
1 = Non-migrant background;
88; 99 = Missing values	
A_Track	[T1] What school track are you attending?	1 = Lower track
2 = Higher track
88; 99 = Missing values	
A_PeerNorms	[T1] Peer norms of participation	1 = “Strongly disagree”;
2 = “Mostly disagree”;
3 = “Neither disagree nor agree”;
4 = “Mostly agree”;
5 = “Strongly agree”;
88; 99 = Missing values	
A_FamilyNorms	[T1] Family norms of participation	1 = “Strongly disagree”;
2 = “Mostly disagree”;
3 = “Neither disagree nor agree”;
4 = “Mostly agree”;
5 = “Strongly agree”;
88; 99 = Missing values	
A_SchoolClimate	[T1] Democratic school climate	1 = “Strongly disagree”;
2 = “Mostly disagree”;
3 = “Neither disagree nor agree”;
4 = “Mostly agree”;
5 = “Strongly agree”;
88; 99 = Missing values	
A_SchoolQuality	[T1] School quality of participation	1 = “Strongly disagree”;
2 = “Mostly disagree”;
3 = “Neither disagree nor agree”;
4 = “Mostly agree”;
5 = “Strongly agree”;
88; 99 = Missing values	
A_StudentPart	[T1] Student participation at school	“0” = No
“1” = Yes
88; 99 = Missing values	
A_NeighbSoC	[T1] Neighborhood sense of community	1 = “Strongly disagree”;
2 = “Mostly disagree”;
3 = “Neither disagree nor agree”;
4 = “Mostly agree”;
5 = “Strongly agree”;
88; 99 = Missing values	
B_Particip	[T2] Civic and political participation	1 = “No”;
2 = “Rarely”;
3 = “Sometimes”;
4 = “Often”;
5 = “Very often”;
88; 99 = Missing values	
B_Interest	[T2] Political and social interest	1 = “Strongly disagree”;
2 = “Mostly disagree”;
3 = “Neither disagree nor agree”;
4 = “Mostly agree”;
5 = “Strongly agree”;
88; 99 = Missing values	
B_Trust	[T2] Political trust	1 = “Strongly disagree”;
2 = “Mostly disagree”;
3 = “Neither disagree nor agree”;
4 = “Mostly agree”;
5 = “Strongly agree”;
88; 99 = Missing values	
Country	Country code	1 = Italy
2 = Sweden
3 = Germany
4 = Greece
6 = Czech Republic