Summary information

Study title

European Values Study 2017: Integrated Dataset (EVS 2017) - Sensitive Data

Creator

Gedeshi, Ilir (Center for Economic and Social Studies (CESS), Tirana, Albania)
Pachulia, Merab (SORGU, Baku, Azerbaijan)
Poghosyan, Gevorg (Institute of Philosophy, Sociology and Law, Armenian National Academy of Sciences, Yerevan, Armenia )
Kritzinger, Sylvia (Department of Government, University of Vienna, Vienna, Austria)
Rotman, David (The Center of Sociological and Political Research, Belarus State University, Minsk, Belarus )
Fotev, Georgy (Faculty for Social Wellbeing, New Bulgarian University, Sofia, Bulgaria)
Baloban, Josip (Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia)
Kolenović-Đapo, Jadranka (Faculty of Philosophy, University of Sarajevo, Bosnia and Herzegovina)
Baloban, Stjepan (Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia (since September 2019))
Rabušic, Ladislav (Faculty of Social Studies, Masaryk University, Brno, Czech Republic)
Saar, Erki (Saar Poll, Tallinn, Estonia)
Frederiksen, Morten (Statistics Denmark, Copenhagen, Denmark)
Ketola, Kimmo (Kirkon tutkimuskeskus, Tampere, Finland)
Wolf, Christof (Department of Social Sciences, GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany )
Pachulia, Merab (GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia)
Bréchon, Pierre (Institut d’études politiques de Grenoble, Grenoble, France)
Voas, David (Department of Social Science, University College London, Great Britain)
Rosta, Gergely (Department of Sociology, Pázmány Péter Catholic University, Budapest, Hungary)
Jónsdóttir, Guðbjörg A. (Social Science Research Institute, University of Iceland, Reykjavik, Iceland)
Rovati, Giancarlo (Department of Sociology, Catholic University of the Sacred Heart, Milan, Italy)
Ziliukaite, Ruta (Department of Sociology, Vilnius University, Lithuania)
Petkovska, Antoanela (Department of Sociology, Ss. Cyril and Methodius University, Skopje, North Macedonia)
Jenssen, Anders T. (Department of Sociology and Political Science, Norwegian University of Science and Technology, Norway)
Komar, Olivera (De Facto Consultancy, Podgorica, Montenegro)
Reeskens, Tim (Department of Sociology, Tilburg University, Tilburg, Netherlands)
Voicu, Bogdan (Research institute for Quality of Life, Romanian Academy of Science, Bucharest, Romania)
Marody, Mirosława (Institute of Sociology, University of Warsaw, Warsaw, Poland)
Soboleva, Natalia (Laboratory for Comparative Social Research, Higher School of Economics, Moscow, Russia)
Bešić, Miloš (Faculty of Political Sciences, University of Belgrade, Serbia)
Strapcová, Katarina (Institute for Sociology, Slovak Academy of Sciences, Bratislava, Slovak Republic)
Uhan, Samo (Faculty of Social Sciences, Public Opinion and Mass Communication Research, University of Ljubljana, Ljubljana, Slovenia)
Silvestre Cabrera, María (Faculty of Political Sciences and Sociology, Deusto University, Bilbao, Spain)
Wallman-Lundåsen, Susanne (Department of Social Sciences, Mid Sweden University, Sundsvall, Sweden)
Ernst Stähli, Michèle (FORS, Swiss Foundation for Research in Social Sciences, Université de Lausanne, Lausanne, Switzerland)
Ramos, Alice (Instituto de Ciências Sociais, Universidade de Lisboa, Portugal)
Balakireva, Olga (Institute Economy and Prognoses, National Academy of Ukraine, Department of Monitoring Research of the Social and Economic Process, Kiev, Ukraine)
Mieriņa, Inta (University of Latvia, Riga, Latvia)

Study number / PID

ZA7501, Version 2.0.0 (GESIS)

10.4232/1.13898 (DOI)

Data access

Information not available

Series

Not available

Abstract

The European Values Study is a large-scale, cross-national and longitudinal survey research program on how Europeans think about family, work, religion, politics, and society. Repeated every nine years in an increasing number of countries, the survey provides insights into the ideas, beliefs, preferences, attitudes, values, and opinions of citizens all over Europe. As previous waves conducted in 1981, 1990, 1999, 2008, the fifth EVS wave maintains a persistent focus on a broad range of values. Questions are highly comparable across waves and regions, making EVS suitable for research aimed at studying trends over time. The new wave has seen a strengthening of the methodological standards. The full release of the EVS 2017 includes data and documentation of altogether 37 participating countries. For more information, please go to the EVS website. Topics: unified respondent number; country code (ISO 3166-1 numeric code); country abbreviation (ISO 3166-1 Alpha-2 code); country and year of fieldwork (ISO 3166-1 numeric code); kind of job respondent - 3 digit ISCO08 code; kind of job spouse/partner - 3 digit ISCO08 code; region where interview was conducted: NUTS-3 code; region where interview was conducted: ISO_NUTS-3 code; size of town where interview was conducted.

Topics

Keywords

Not available

Methodology

Data collection period

19/06/2017 - 01/10/2021

Country

Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belarus, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Germany, Hungary, Iceland, Italy, Montenegro, Lithuania, North Macedonia, Netherlands, Norway, Poland, Romania, Russian Federation, Serbia, Slovakia, Slovenia, Sweden, Spain, Switzerland, Portugal, Ukraine, Latvia

Time dimension

Cross-section

Analysis unit

Not available

Universe

Not available

Sampling procedure

The sampling procedures differ from country to country: Probability Sample: Multistage Sample Probability Sample: Simple Random Sample Representative single stage or multi-stage sampling of the adult population of the country 18 years old and older was used for the EVS 2017. Sample size was set as effective sample size: 1200 for countries with population over 2 million, 1000 for countries with population less than 2 million. 8 countries out of 16 deviated from the guidelines and planned with an effective sample size below the set threshold. Germany, Netherlands, Iceland and Switzerland, due to the mixed mode design, allocated only part (50% or more) of the effective sample size to the interviewer-administered mode. Sample design and other relevant information about sampling were reviewed by the EVS-Methodology Group (EVS-MG) and approved prior to contracting of fieldwork agency or starting of data collection. In case of on-field sampling EVS-MG proposed necessary protocols for documentation of the probabilities of selection of each respondent. The sampling was documented using the Sampling Design Form (SDF) delivered by the national teams (see the EVS2017 Methodological Guidelines, Sampling). The SDF includes the description of the sampling frame and each sampling stage as well as the calculation of the planned gross and net sample size to achieve the required effective sample. Additionally, it includes the analytical description of the inclusion probabilities of the sampling design that are used to calculate design weights.

Kind of data

Not available

Data collection mode

Mode of collection: mixed modeFace-to-face interview: CAPI (Computer Assisted Personal Interview)Face-to-face interview: PAPI (Paper and Pencil Interview)Telephone interview: CATI (Computer Assisted Telephone Interview) Self-administered questionnaire: CAWI (Computer-Assisted Web Interview)Self-administered questionnaire: PaperIn all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the EVS advisory groups. The main mode in EVS 2017 is face to face (interviewer-administered). An alternative self-administered form was possible but as a parallel mixed mode, i.e. there was no choice for the respondent between modes: either s/he was assigned to face to face, either s/he was assigned to web or web/mail format. In all countries included in the first pre-release, the EVS questionnaire was administered as face-to-face interview (CAPI or/and PAPI).The EVS 2017 Master Questionnaire was provided in English and each national Programme Director had to ensure that the questionnaire was translated into all the languages spoken by 5% or more of the population in the country. A central team monitored the translation process by means of the Translation Management Tool (TMT), developed by CentERdata (Tilburg).

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2022

Terms of data access

C - Data and documents are only released for academic research and teaching after the data depositor's written authorization. For this purpose the Data Archive obtains a written permission with specification of the user and the analysis intention.

Related publications

Not available