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Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)

Version
1.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • EVS/WVS
Publication Date
2020-11-13
Contributor
  • Gedeshi, Ilir (Center for Economic and Social Studies (CESS), Tirana, Albania) (Researcher)
  • Pachulia, Merab (SORGU, Baku, Azerbaijan) (Researcher)
  • Rotman, David (The Center of Sociological and Political Research, Belarus State University, Minsk, Belarus) (Researcher)
  • Kritzinger, Sylvia (Department of Government, University of Vienna, Vienna, Austria) (Researcher)
  • Poghosyan, Gevorg (Institute of Philosophy, Sociology and Law, Armenian National Academy of Sciences, Yerevan, Armenia) (Researcher)
  • Fotev, Georgy (Faculty for Social Wellbeing, New Bulgarian University, Sofia, Bulgaria) (Researcher)
  • Kolenović-Đapo, Jadranka (Faculty of Philosophy, University of Sarajevo, Bosnia and Herzegovina) (Researcher)
  • Baloban, Stjepan (Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia (since September 2019)) (Researcher)
  • Baloban, Josip (Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia) (Researcher)
  • Rabušic, Ladislav (Faculty of Social Studies, Masaryk University, Brno, Czech Republic) (Researcher)
  • Frederiksen, Morten (Statistics Denmark, Copenhagen, Denmark) (Researcher)
  • Saar, Erki (Saar Poll, Tallinn, Estonia) (Researcher)
  • Ketola, Kimmo (Kirkon tutkimuskeskus, Tampere, Finland) (Researcher)
  • Pachulia, Merab (GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia) (Researcher)
  • Bréchon, Pierre (Institut d’études politiques de Grenoble, Grenoble, France) (Researcher)
  • Wolf, Christof (Department of Social Sciences, GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany) (Researcher)
  • Rosta, Gergely (Department of Sociology, Pázmány Péter Catholic University, Budapest, Hungary) (Researcher)
  • Voas, David (Department of Social Science, University College London, Great Britain) (Researcher)
  • Rovati, Giancarlo (Department of Sociology, Catholic University of the Sacred Heart, Milan, Italy) (Researcher)
  • Jónsdóttir, Guðbjörg A. (Social Science Research Institute, University of Iceland, Reykjavik, Iceland) (Researcher)
  • Ziliukaite, Ruta (Department of Sociology, Vilnius University, Lithuania) (Researcher)
  • Petkovska, Antoanela (Department of Sociology, Ss. Cyril and Methodius University, Skopje, North Macedonia) (Researcher)
  • Reeskens, Tim (Department of Sociology, Tilburg University, Tilburg, Netherlands) (Researcher)
  • Komar, Olivera (De Facto Consultancy, Podgorica, Montenegro) (Researcher)
  • Jenssen, Anders T. (Department of Sociology and Political Science, Norwegian University of Science and Technology, Norway) (Researcher)
  • Voicu, Bogdan (Research institute for Quality of Life, Romanian Academy of Science, Bucharest, Romania) (Researcher)
  • Soboleva, Natalia (Laboratory for Comparative Social Research, Higher School of Economics, Moscow, Russia) (Researcher)
  • Marody, Mirosława (Institute of Sociology, University of Warsaw, Warsaw, Poland) (Researcher)
  • Bešić, Miloš (Faculty of Political Sciences, University of Belgrade, Serbia) (Researcher)
  • Strapcová, Katarina (Institute for Sociology, Slovak Academy of Sciences, Bratislava, Slovak Republic) (Researcher)
  • Uhan, Samo (Faculty of Social Sciences, Public Opinion and Mass Communication Research, University of Ljubljana, Ljubljana, Slovenia) (Researcher)
  • Silvestre Cabrera, María (Faculty of Political Sciences and Sociology, Deusto University, Bilbao, Spain) (Researcher)
  • Wallman-Lundåsen, Susanne (Department of Social Sciences, Mid Sweden University, Sundsvall, Sweden) (Researcher)
  • Ernst Stähli, Michèle (FORS, Swiss Foundation for Research in Social Sciences, Université de Lausanne, Lausanne, Switzerland) (Researcher)
  • Ramos, Alice (Instituto de Ciências Sociais, Universidade de Lisboa, Portugal) (Researcher)
  • Micó Ibáñez, Joan (Institut d’Estudis Andorrans, Centre de Recerca Sociològica (CRES), Andorra) (Researcher)
  • Carballo, Marita (Voices Research and Consultancy S.A., Argentina) (Researcher)
  • McAllister, Ian (Australian National University) (Researcher)
  • Foa, Roberto Stefan (PI Bangladesh) (University of Melbourne, Australia) (Researcher)
  • Moreno Morales, Daniel E. (CIUDADANIA, Comunidad de Estudios Sociales y Acción Pública, Bolivia) (Researcher)
  • de Oliveira de Castro, Henrique Carlos (Federal University of Rio Grande do Sul, Brazil) (Researcher)
  • Lagos, Marta (Latino Barometro, MORI Chile) (Researcher)
  • Zhong, Yang (Public Opinion Research Center of School of International and Public Affairs at Shanghai Jiao Tong University, China) (Researcher)
  • Casas, Andres (PI Colombia) (Center for Social Norms and Behaviroal Dynamics, University of Pennsylvania, USA) (Researcher)
  • Yesilada, Birol (PI Cyprus) (Portland State University, USA) (Researcher)
  • Paez, Cristina (IPSOS Ecuador) (Researcher)
  • Abdel Latif, Abdel Hamid (Egyptian Research and Training Center, Egypt) (Researcher)
  • Jennings, Will (PI Ethiopia) (University of Southampton, UK) (Researcher)
  • Welzel, Christian (Leuphana Universität Lüneburg, Germany) (Researcher)
  • Díaz Argueta, Julio César (Escuela de Trabajo Social, Universidad de San Carlos de Guatemala) (Researcher)
  • Cheng, Edmund (Department of Government and International Studies, Hong Kong) (Researcher)
  • Gravelle, Timothy (PI Indonesia) (University of Melbourne, Australia) (Researcher)
  • Stoker, Gerry (University of Southampton, UK) (Researcher)
  • Dagher, Munqith (International Institute for Administration and Social Survey (IIACSS), Jordan) (Researcher)
  • Yamazaki, Seiko (Dentsu Institute, Japan) (Researcher)
  • Braizat, Fares (NAMA Strategic Intelligence Solutions, Jordan) (Researcher)
  • Rakisheva, Botagoz (Public Opinion Research Institute, Kazakhstan) (Researcher)
  • Bakaloff, Yuri (Central Asia Barometer, Kyrgyzstan) (Researcher)
  • Haerpfer, Christian (PI Lebanon) (University of Vienna, Austria) (Researcher)
  • Wing-yat Yu, Eilo (Department of Government and Public Administration, University of Macau, Macao, China) (Researcher)
  • Lee, Grace (Monash University Malaysia) (Researcher)
  • Moreno, Alejandro (Instituto Tecnológico Autónomo de México) (Researcher)
  • Souvanlasy, Chansada (IRL (Indochina Research Laos) Myanmar Limited) (Researcher)
  • Perry, Paul (School of People, Environment and Planning, Massey University, New Zealand) (Researcher)
  • Denton, Carlos (PI Nicaragua) (CID/Gallup, S.A.) (Researcher)
  • Puranen, Bi (PI Nigeria) (Institute for Future Studies, Sweden) (Researcher)
  • Gilani, Bilal (Gallup Pakistan) (Researcher)
  • Romero, Catalina (Pontificia Universidad Católica del Perú) (Researcher)
  • Guerrero, Linda (Social Weather Stations, Philippines) (Researcher)
  • Hernández Acosta, Javier J. (Universidad del Sagrado Corazón, Puerto Rico) (Researcher)
  • Voicu, Bogdan (Romanian Academy, Research Institute for Quality of Life) (Researcher)
  • Zavadskaya, Margarita (Laboratory for Comparative Social Research, Higher School of Economics, Russia) (Researcher)
  • Veskovic, Nino (Singidunum University Belgrade, Serbia) (Researcher)
  • Auh, Soo Young (Korean Social Science Data Center/ Ewha Womans University, South Korea) (Researcher)
  • Tsai, Ming-Chang (Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan ROC) (Researcher)
  • Olimov, Muzaffar (Research Centre SHARQ /Oriens, Tajikistan) (Researcher)
  • Bureekul, Thawilwadee (King Prajadhipok’s Institute, Thailand) (Researcher)
  • Ben Hafaiedh, Abdelwahab (Applied Social Science Forum, Tunisia) (Researcher)
  • Esmer, Yilmaz (Bahcesehir University, Turkey) (Researcher)
  • Inglehart, Ronald (University of Michigan, USA) (Researcher)
  • Depouilly, Xavier (Indochina Research Ltd Vietnam) (Researcher)
  • Norris, Pippa (PI Zimbabwe) (Harvard University, USA) (Researcher)
  • Balakireva, Olga (Social Monitoring Center, Ukraine) (Researcher)
  • Koniordos. Sokratis (Researcher)
  • EVS 2017:Center for Economic and Social Studies (CESS), Tirana, Albania (Data Collector)
  • InterRating CoLtd, Yerevan, Armenia (Data Collector)
  • Institut für empirische Sozialforschung (IFES) GmbH, Vienna, Austria (Data Collector)
  • Sorgu, Baku, Azerbaijan (Data Collector)
  • Centre for Sociological and Political Research, Belarusian State University, Minsk, Belarus (Data Collector)
  • Custom Concept d.o.o., Sarajevo, Bosnia and Herzegovina (Data Collector)
  • Alpha Research LTD, Sofia, Bulgaria (Data Collector)
  • Catholic University of Croatia, Zagreb, and GfK research Agency, Zagreb, Croatia (Data Collector)
  • STEM/MARK, a.s., Praha, Czech Republic (Data Collector)
  • Statistics Denmark - Survey, Copenhagen, Denmark (Data Collector)
  • AS Emor,Tallinn, Estonia (Data Collector)
  • Taloustutkimus Oy, Lemuntie 9, 00910 Helsinki, Finland (Data Collector)
  • KANTAR PUBLIC - TAYLOR NELSON SOFRES, Paris, France (Data Collector)
  • GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia (Data Collector)
  • Kantar Deutschland GmbH, Kantar Public, München, Germany (Data Collector)
  • NatCen Social Research, London, Great Britain (Data Collector)
  • Forsense, Budapest, Hungary (Data Collector)
  • Social Science Research Institute, SSRI, University of Iceland, Reykjavik, Iceland (Data Collector)
  • Doxa Spa, Milano, Italy (Data Collector)
  • Baltic Surveys, Vilnius, Lithuania (Data Collector)
  • DeFacto Consultancy, Podgorica, Montenegro (Data Collector)
  • I&O Research B.V., Enschede, Netherlands andCentERdata, Tilburg, Netherlands (Data Collector)
  • Faculty of Philosophy, Skopje, North Macedonia (Data Collector)
  • Statistics Norway, Oslo, Norway (Data Collector)
  • Centrum Badania Opinii Społecznej (Public Opinion Research Centre), Warszawa, Poland (Data Collector)
  • IRES: Institutul Roman pentru Evaluare si Strategie, Romania (Data Collector)
  • CESSI (Institute for comparative Social Research), Moscow, Russia (Data Collector)
  • Nina media, Novi Sad, Serbia (Data Collector)
  • Kantar TNS, Bratislava, Slovakia (Data Collector)
  • University of Ljubljana, Faculty of Social Science, Ljubljana, Slovenia (Data Collector)
  • MyWord Research SL, Madrid, Spain (Data Collector)
  • IPSOS Observer Sweden AB, Härnösand, Sweden (Data Collector)
  • M.I.S Trend S.A (Data Collector)
  • Lausanne, Switzerland (Face-to-face) andSwiss Centre for Expertise in the Social Sciences FORS c/o University of Lausanne, Lausanne, Switzerland (Web-mail) (Data Collector)
  • GfK-Metris, Lisbon, Portugal.WVS wave 7Institut d’Estudis Andorrans, Centre de Recerca Sociològica (CRES), Andorra (Data Collector)
  • Voices Research and Consultancy S.A., Argentina (Data Collector)
  • Centre for Social Research and Methods, Australian National University (Data Collector)
  • SRG Bangladesh Limited (SRGB), Bangladesh (Data Collector)
  • CIUDADANIA, Comunidad de Estudios Sociales y Acción Pública, Bolivia (Data Collector)
  • Federal University of Rio Grande do Sul, Brazil (Data Collector)
  • Market Opinion Research International, Chile (Data Collector)
  • Public Opinion Research Center of School of International and Public Affairs at Shanghai Jiao Tong University, China (Data Collector)
  • Invamer, Colombia (Data Collector)
  • Cymar Research Company (survey in Cyprus South) (Data Collector)
  • Prologue Consulting Ltd. (survey in Cyprus North) (Data Collector)
  • IPSOS Ecuador (Data Collector)
  • Egyptian Research and Training Center, Egypt (Data Collector)
  • WAAS International/ TNS RMS Nigeria Limited / Kantar (survey in Ethiopia) (Data Collector)
  • Kantar Deutschland GmbH, Kantar Public, München, Germany (Data Collector)
  • National Centre of Social Research (EKKE) & DIANEOSIS & Metron Analysis, Greece (Data Collector)
  • Innovation, Development & Research, S.A. & Social Work School of the University of San Carlos of Guatemala (Data Collector)
  • Centre for Communication and Public Opinion Survey (CCPOS) of the Chinese University of Hong Kong for FTF (Data Collector)
  • Survey Sampling International (SSI) for CAWI, Hong Kong SAR PRC (Data Collector)
  • Survey Meter, Indonesia (Data Collector)
  • R-Research Limited, UK (survey in Iran) (Data Collector)
  • International Institute for Administration and Social Survey (IIACSS), Jordan (survey in Iraq) (Data Collector)
  • Nippon Research Center, Ltd., Japan (Data Collector)
  • NAMA Strategic Intelligence Solutions, Jordan (Data Collector)
  • Public Opinion Research Institute, Kazakhstan (Data Collector)
  • Central Asia Barometer, Kyrgyzstan (Data Collector)
  • Statistics Lebanon Ltd. (Data Collector)
  • University of Macao, China (Data Collector)
  • IPSOS Malaysia (Data Collector)
  • Moreno & Sotnikova Social Research and Consulting S.C., Mexico (Data Collector)
  • IRL (Indochina Research Laos) Myanmar Limited, Myanmar (Data Collector)
  • School of People, Environment and Planning, Massey University, New Zealand (Data Collector)
  • CID/Gallup, S.A. (survey in Nicaragua) (Data Collector)
  • TNS RMS Nigeria Limited / Kantar (Data Collector)
  • Gallup Pakistan (Data Collector)
  • Public Opinion Institute at Pontifical Catholic University of Peru (Data Collector)
  • Social Weather Stations, Philippines (Data Collector)
  • Universidad del Sagrado Corazón, Puerto Rico (Data Collector)
  • IRES: Institutul Roman pentru Evaluare si Strategie, Romania (Data Collector)
  • CESSI - Institute for Comparative Social Research (survey in Russia) (Data Collector)
  • Singidunum University Belgrade, Serbia (Data Collector)
  • Gallup South Korea (Data Collector)
  • Institute of Sociology, Academia Sinica, Taipei, Taiwan ROC (Data Collector)
  • Research Centre SHARQ /Oriens, Tajikistan (Data Collector)
  • King Prajadhipok’s Institute, Thailand (Data Collector)
  • Applied Social Science Forum, Tunisia (Data Collector)
  • Bahcesehir University, Turkey (Data Collector)
  • University of Chicago, NORC AmeriSpeak, USA (Data Collector)
  • Indochina Research Ltd. Vietnam (Data Collector)
  • Consumer Feedback, Zimbabwe & TNS RMS Nigeria Limited/ Kantar (Data Collector)
  • Social Monitoring Center (Data Collector)
  • Info Sapiens research center (Data Collector)
  • Ukrainian Center for European Policy, Ukraine. (Data Collector)
Language
German
Classification
  • ZA:
    • Political Attitudes and Behavior
    • Work and Industry
    • Society, Culture
    • Family
    • Religion and "Weltanschauung"
    • Person, Personality, Role
  • CESSDA Topic Classification:
    • Labour and employment
    • Cultural and national identity
    • Religion and values
    • Mass political behaviour, attitudes/opinion
    • Family life and marriage
    • Gender and gender roles
Description
  • Abstract

    The European Value Study (EVS) and the World Value Survey (WVS) are two large-scale, cross-national and longitudinal survey research programs. They include a large number of questions, which have been replicated since the early eighties. Both organizations agreed to cooperate in joint data collection from 2017. EVS has been responsible for planning and conducting surveys in European countries, using the EVS questionnaire and EVS methodological guidelines. WVSA has been responsible for planning and conducting surveys in countries in the world outside Europe, using the WVS questionnaire and WVS methodological guidelines. Both organisations developed their draft master questionnaires independently. The joint items define the Common Core of both questionnaires. The Joint EVS/WVS is constructed from the two EVS and WVS source datasets: - European Values Study 2017 Integrated Dataset (EVS 2017), ZA7500 Data file Version 4.0.0, doi:10.4232/1.13560 (https://doi.org/10.4232/1.13560). - World Values Survey: Round Seven–Country-Pooled Datafile. Version 1.0.5, doi: 10.14281/18241.1 (https://doi.org/10.14281/18241.1). Morale, religious, societal, political, work, and family values. Topics: 1. Perceptions of life: importance of family, friends, leisure time, politics, work, and religion; feeling of happiness; self-assessment of state of health; satisfaction with life; internal or external control; importance of educational goals: desirable qualities of children; membership in voluntary organisations (religious organisations, cultural activities, trade unions, political parties or groups, conservation, environment, ecology, animal rights, professional associations, sports, recreation, consumer groups, or other groups); membership in humanitarian or charitable organisation, self-help group or mutual aid; tolerance towards minorities (people of a different race, heavy drinkers, immigrants/ foreign workers, drug addicts, homosexuals - social distance); trust in people; protecting the environment vs. economic growth. 2. Work: attitude towards work (people who don’t work turn lazy, work is a duty towards society, work always comes first); job scarce: men should have more right to a job than women (3-point scale and 5-point scale), employers should give priority to (nation) people than immigrants (3-point scale and 5-point scale). 3. Religion and morale: religious denomination; current frequency of religious services attendance; frequency of prayer (WVS7); pray to God outside of religious services (EVS5); self-assessment of religiousness; belief in God, life after death, hell, and heaven; importance of God in one´s life; morale attitudes (scale: claiming government benefits without entitlement, avoiding a fare on public transport, cheating on taxes, accepting a bribe, homosexuality, prostitution, abortion, divorce, euthanasia, suicide, having casual sex, political violence, death penalty). 4. Family: attitude towards traditional understanding of one´s role of man and woman in occupation and family (gender roles); homosexual couples are as good parents as other couples; duty towards society to have children; it is child´s duty to take care of ill parent; one of main goals in life has been to make own parents proud. 5. Politics and society: most important aims of the country for the next ten years (first choice, second choice), aims of the respondent (first choice, second choice)); post-materialist index 4-item; willingness to fight for the country; expectation of future development (less importance placed on work and greater respect for authority); political interest; political participation (political action: signing a petition, joining in boycotts, attending lawful/ peaceful demonstrations, joining unofficial strikes); self positioning in political scale; equal incomes vs. incentives for individual effort; private vs. state ownership of business and industry; individual vs. government responsibility for providing; competition good vs. harmful for people; confidence in institutions (churches, armed forces, the press, labour unions, the police, parliament, the civil services, major regional organisations (combined from country-specific), the European Union, the government, the political parties, major companies, the environmental protection movement, justice system/ courts, the United Nations); satisfaction with the political system in the country; preferred type of political system (strong leader, expert decisions, army should rule the country, or democracy); party the respondent would vote for: first choice (WVS); political party with the most appeal (ISO 3166-1) (EVS5); essential characteristics of democracy; importance of democracy for the respondent; rating democracy in own country; vote in elections on local level and on national level; assessment of country´s elections (votes are counted fairly, opposition candidates are prevented from running, TV news favors the governing party, voters are bribed, journalists provide fair coverage of elections, election officials are fair, rich people buy elections, voters are threatened with violence at the polls); opinion on the government´s right to keep people under video surveillance in public areas, to monitor all e-mails and any other information exchanged on the Internet, to collect information about anyone living in the country without their knowledge. 6. National Identity: trust in people from various groups (family, neighborhood, personally known people, people you meet for the first time, people of another religion, and people of another nationality); citizen of the country; national pride; evaluation of the impact of immigrants on the country´s development; geographical group the respondent feels belonging to (continent, e.g. Europe, Asia etc., world, village, town or city, county, region, district, country). Demography: sex; age; age recoded (6 intervals and 3 intervals); respondent immigrant/ born in the country of interview; country of birth (ISO 3166-1 code, ISO 3166-1/3 Alpha code); highest educational level (ISCED-code one digit); highest educational level (recoded); employment status; Institution of occupation; job profession/ industry (2 digit ISCO08) (EVS5); occupational group (WVS7); marital status; number of children; number of people in the household (household size); living together with parents; scale of incomes (WVS7), scale of incomes (EVS5). Information on partner/spouse: highest educational level (ISCED-code one digit); highest educational level (recoded); employment status; job profession/ industry (2 digit ISCO08) (EVS5); occupational group (WVS7). Information on respondent’s parents: father and mother born in the country; country of birth of father and mother (ISO 3166-1 code, ISO 3166-1/3 Alpha code); highest educational level of father and mother (ISCED code one digit); highest educational level of father and mother (recoded); occupational group of respondent’s father (EVS5-main earner) (respondent 14 years old). Interviewer rating: respondent´s interest during the interview. Additionally encoded: study; wave; version of Joint EVS/WVS; version of EVS5 und WVS7 source data files; source of the Joint EVS/WVS; unified respondent number (Joint); interviewer number; country code (ISO 3166-1 Numeric code and ISO 3166-1 Alpha-2 code); country (CoW Numeric code); year of survey; year/month of start of fieldwork; year/month of end of fieldwork; country – year; mode of data collection; mixed mode/ matrix design (EVS5); mode of data collection (follow up) (EVS5); matrix attribution (group/variable bloc) (EVS5); year/ month of start of fieldwork (matrix design) EVS5); year/ month of end of fieldwork (matrix design) (EVS5); survey year (follow up) (EVS5); total length of the interview (start hour and start minute, end hour and end minute); date of the interview; date of the interview (follow up) (EVS5); time of the interview – start (constructed) (follow up) (EVS5); time of the interview – end (constructed) (follow up) (EVS5); language of the interview (WVS/EVS list of languages); language of interview (ISO 639-1 alpha-2 / 639-2 alpha 3); weighting factors (calibration weights, population size weight, equilibrated weight-1000); region where the interview was conducted (NUTS-1); region where the interview was conducted (NUTS-2); region where the interview was conducted (ISO); size of town where the interview was conducted (5 categories).
Temporal Coverage
  • 2018-02-24 / 2018-06-24
    Albania EVS 2017
  • 2018-02-20 / 2018-04-30
    Armenia EVS 2017
  • 2018-11-10 / 2018-12-23
    Azerbaijan EVS 2017
  • 2018-01-08 / 2018-05-14
    Austria EVS 2017
  • 2019-02-03 / 2019-06-14
    Bosnia and Herzegovina EVS 2017
  • 2018-02-01 / 2018-03-05
    Belarus EVS 2017
  • 2017-11-11 / 2018-09-01
    Bulgaria EVS 2017
  • 2017-10-25 / 2018-02-16
    Croatia EVS 2017
  • 2018-03-02 / 2018-08-16
    France EVS 2017
  • 2017-11-24 / 2018-07-10
    Finland EVS 2017
  • 2018-05-17 / 2018-09-12
    Estonia EVS 2017
  • 2017-09-27 / 2018-01-31
    Denmark EVS 2017
  • 2017-09-17 / 2017-12-01
    Czech Republic EVS 2017
  • 2018-01-11 / 2018-03-18
    Georgia EVS 2017
  • 2018-02-24 / 2018-08-21
    Hungary EVS 2017
  • 2018-02-12 / 2018-07-16
    Great Britain EVS 2017
  • 2017-10-23 / 2018-11-28
    Germany EVS 2017
  • 2019-07 / 2019-12
    Montenegro EVS 2017
  • 2017-12-08 / 2018-02-12
    Lithuania EVS 2017
  • 2018-09-24 / 2019-01-30
    Italy EVS 2017
  • 2017-06-19 / 2018-04-04
    Iceland EVS 2017
  • 2018-12-10 / 2019-03-28
    North Macedonia EVS 2017
  • 2018-08-22 / 2018-12-17
    Norway EVS 2017
  • 2017-08-31 / 2018-02-28
    Netherlands EVS 2017
  • 2018-02-03 / 2018-05-05
    Romania EVS 2017
  • 2017-11-17 / 2018-02-08
    Poland EVS 2017
  • 2018-11-10 / 2018-12-21
    Serbia EVS 2017
  • 2017-11-07 / 2017-12-25
    Russia EVS 2017
  • 2017-09-26 / 2017-12-03
    Slovak Republic EVS 2017
  • 2017-09-30 / 2017-12-23
    Slovenia EVS 2017
  • 2017-09-27 / 2018-06-06
    Sweden EVS 2017
  • 2017-11-28 / 2018-01-22
    Spain EVS 2017
  • 2017-09-11 / 2018-02-22
    Switzerland EVS 2017
  • 2020-01-11 / 2020-03-01
    Portugal EVS 2017
  • 2018-06-01 / 2018-09-22
    Andorra WVS wave 7
  • 2017-07-04 / 2017-07-19
    Argentina WVS wave 7
  • 2018-04-06 / 2018-08-06
    Australia WVS wave 7
  • 2018-12-03 / 2018-12-24
    Bangladesh WVS wave 7
  • 2017-01-18 / 2017-03-07
    Bolivia WVS wave 7
  • 2018-05-15 / 2018-06-11
    Brazil WVS wave 7
  • 2018-01-06 / 2018-02-05
    Chile WVS wave 7
  • 2018-07-07 / 2018-10-12
    China WVS wave 7
  • 2018-11-30 / 2018-12-22
    Colombia WVS wave 7
  • 2019-05-13 / 2019-06-04
    Cyprus WVS wave 7
  • 2018-01-24 / 2018-03-03
    Ecuador WVS wave 7
  • 2018-06-22 / 2018-07-07
    Egypt WVS wave 7
  • 2020-02-06 / 2020-03-19
    Ethiopia WVS wave 7
  • 2017-10-25 / 2018-03-31
    Germany WVS wave 7
  • 2017-09-08 / 2017-10-16
    Greece WVS wave 7
  • 2019-10-03 / 2020-02-25
    Guatemala WVS wave 7
  • 2018-07-16 / 2018-11-11
    Hong Kong WVS wave 7
  • 2018-06-01 / 2018-08-20
    Indonesia WVS wave 7
  • 2020-03-24 / 2020-04-17
    Iran WVS wave 7
  • 2018-06-08 / 2018-06-28
    Iraq WVS wave 7
  • 2019-09-05 / 2019-09-26
    Japan WVS wave 7
  • 2018-06-07 / 2018-06-14
    Jordan WVS wave 7
  • 2018-10-01 / 2018-11-30
    Kazakhstan WVS wave 7
  • 2019-12-05 / 2020-01-28
    Kyrgyzstan WVS wave 7
  • 2018-06-04 / 2018-06-18
    Lebanon WVS wave 7
  • 2019-10-03 / 2019-12-17
    Macau WVS wave 7
  • 2018-04-05 / 2018-05-21
    Malaysia WVS wave 7
  • 2018-01-18 / 2018-05-02
    Mexico WVS wave 7
  • 2020-01-17 / 2020-03-03
    Myanmar WVS wave 7
  • 2019-07-04 / 2020-02-21
    New Zealand WVS wave 7
  • 2019-11-30 / 2020-01-05
    Nicaragua WVS wave 7
  • 2017-12-19 / 2018-01-26
    Nigeria WVS wave 7
  • 2018-11-04 / 2018-12-11
    Pakistan WVS wave 7
  • 2018-08-17 / 2018-09-09
    Peru WVS wave 7
  • 2019-12-03 / 2019-12-09
    Philippines WVS wave 7
  • 2018-03-16 / 2018-10-27
    Puerto Rico WVS wave 7
  • 2017-11-30 / 2018-04-02
    Romania WVS wave 7
  • 2017-11-07 / 2017-12-29
    Russia WVS wave 7
  • 2017-05-20 / 2017-07-07
    Serbia WVS wave 7
  • 2017-12-24 / 2018-01-16
    South Korea WVS wave 7
  • 2019-03-25 / 2019-06-16
    Taiwan WVS wave 7
  • 2020-01-08 / 2020-02-06
    Tajikistan WVS wave 7
  • 2017-12-01 / 2018-02-26
    Thailand WVS wave 7
  • 2019-04-26 / 2019-05-20
    Tunisia WVS wave 7
  • 2018-03-31 / 2018-05-21
    Turkey WVS wave 7
  • 2017-04-28 / 2017-05-31
    United States WVS wave 7
  • 2019-12-15 / 2020-01-21
    Vietnam WVS wave 7
  • 2020-02-11 / 2020-03-23
    Zimbabwe WVS wave 7
  • 2020-07-25 / 2020-08-14
    Ukraine WVS wave 7
Geographic Coverage
  • Albania (AL)
  • Armenia (AM)
  • Austria (AT)
  • Azerbaijan (AZ)
  • Bosnia and Herzegovina (BA)
  • Belarus (BY)
  • Bulgaria (BG)
  • Croatia (HR)
  • Czech Republic (CZ)
  • Denmark (DK)
  • Estonia (EE)
  • Finland (FI)
  • France (FR)
  • Georgia (GE)
  • Germany (DE)
  • Great Britain (GB-GBN)
  • Hungary (HU)
  • Iceland (IS)
  • Italy (IT)
  • Montenegro (ME)
  • Lithuania (LT)
  • Macedonia, the Former Yugoslav Republic of (MK)
  • Netherlands (NL)
  • Norway (NO)
  • Poland (PL)
  • Romania (RO)
  • Russian Federation (RU)
  • Serbia (RS)
  • Slovakia (SK)
  • Slovenia (SI)
  • Sweden (SE)
  • Spain (ES)
  • Switzerland (CH)
  • Portugal (PT)
  • Andorra (AD)
  • Argentina (AR)
  • Australia (AU)
  • Bangladesh (BD)
  • Bolivia, Plurinational State of (BO)
  • Brazil (BR)
  • Chile (CL)
  • China (CN)
  • Colombia (CO)
  • Cyprus (CY)
  • Ecuador (EC)
  • Egypt (EG)
  • Ethiopia (ET)
  • Greece (GR)
  • Guatemala (GT)
  • Hong Kong (HK)
  • Indonesia (ID)
  • Iran, Islamic Republic of (IR)
  • Iraq (IQ)
  • Japan (JP)
  • Jordan (JO)
  • Kazakhstan (KZ)
  • Kyrgyzstan (KG)
  • Lebanon (LB)
  • Macau (MO)
  • Malaysia (MY)
  • Mexico (MX)
  • Myanmar (MM)
  • New Zealand (NZ)
  • Nicaragua (NI)
  • Nigeria (NG)
  • Pakistan (PK)
  • Peru (PE)
  • Philippines (PH)
  • Puerto Rico (PR)
  • Korea, Republic of (KR)
  • Taiwan (TW)
  • Tajikistan (TJ)
  • Thailand (TH)
  • Tunisia (TN)
  • Turkey (TR)
  • United States (US)
  • Viet Nam (VN)
  • Zimbabwe (ZW)
  • Ukraine (UA)
Sampled Universe
EVS 2017: The target population is defined as: individuals aged 18 or older (with no upper age limit) that have address of residence (not residential) in [country] within private households at the date of beginning of fieldwork (or in the date of the first visit to the household, in case of random-route selection). Research area: Albania (AL); Armenia (AM); Austria (AT); Azerbaijan (AZ); Belarus (BY); Bosnia and Herzegovina (BA); Bulgaria (BG); Croatia (HR); Czech Republic (CZ); Denmark (DK); Estonia (EE); Finland (FI); France (FR); Georgia (GE); Germany (DE); Great-Britain (GB-GBN); Hungary (HU); Iceland (IS); Italy (IT); Lithuania (LT); Montenegro (ME); Netherlands (NL); North Macedonia (MK); Norway (NO); Poland (PL); Portugal (PT); Romania (RO); Russian Federation (RU); Serbia (RS); Slovakia (SK); Slovenia (SI); Sweden (SE); Spain (ES); Switzerland (CH). WVS wave 7: The target population is defined as: individuals aged 18 (16/17 is acceptable in the countries with such voting age) or older (with no upper age limit), regardless of their nationality, citizenship or language, that have been residing in the [country] within private households for the past 6 months prior to the date of beginning of fieldwork (or in the date of the first visit to the household, in case of random-route selection). Research area: Andorra (AD); Argentina (AR); Australia (AU); Bangladesh (BD); Bolivia (BO); Brazil (BR); Colombia (CO); Chile (CL); China (CN); Cyprus (CY); Ecuador (EC); Egypt (EG); Ethiopia (ET); Germany (DE); Greece (GR); Guatemala (GT); Hong Kong SAR PRC (HK); Indonesia (ID); Iran (IR); Iraq (IQ);Japan (JP); Jordan (JO); Kazakhstan (KZ); Kyrgyzstan (KG); Lebanon (LB); Macao SAR PRC (MO); Malaysia (MY); Mexico (MX); Myanmar (MM); New Zealand (NZ); Nicaragua (NI); Nigeria (NG); Pakistan (PK); Peru (PE); Philippines (PH); Puerto Rico (PR); Romania (RO); Russian Federation (RU); Serbia (RS); South Korea (KR); Taiwan ROC (TW); Tajikistan (TJ); Thailand (TH); Tunisia (TN); Turkey (TR); Ukraine (UA); United States (US); Vietnam (VN); Zimbabwe (ZW).
Sampling
Probability: Multistage; Probability: Simple random; Sampling Procedure Comment: EVS 2017: 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. WVS 7: 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 (16) years old and older was used for the WVS 2017-2020. 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. Countries with great population size and diversity (e.g. India, China, USA, Russia, Brazil etc.) are required to reach an effective sample of N=1500 or larger. Only 2 countries (Argentina, Chile) deviated from the guidelines and planned with an effective sample size below the set threshold. Sample design and other relevant information about sampling were reviewed by the WVS Scientific Advisory Committee and approved prior to contracting of fieldwork agency or starting of data collection. The sampling was documented using the Survey Design Form delivered by the national teams which included 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 included the analytical description of the inclusion probabilities of the sampling design that are used to calculate design weights.
Time Dimension
  • Longitudinal
Collection Mode
  • Face-to-face interview: CAPI/CAMI
  • Face-to-face interview: PAPI
  • Telephone interview: CATI
  • Self-administered questionnaire: Paper
  • Self-administered questionnaire: Web-based
  • EVS 2017: Mode of collection: mixed mode Face-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: Paper In 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). WVS wave 7: Mode of collection: mixed mode Face-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: Paper In all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the WVS scientific advisory committee and WVSA secretariat. The main data collection mode in WVS 2017-2021 is face to face (interviewer-administered). Several countries employed mixed-mode approach to data collection: USA (CAWI; CATI); Australia and Japan (CAWI; postal survey); Hong Kong SAR (PAPI; CAWI); Malaysia (CAWI; PAPI). The WVS Master Questionnaire was provided in English, Arabic, Russian and Spanish. Each national survey team had to ensure that the questionnaire was translated into all the languages spoken by 15% or more of the population in the country. WVSA Secretariat and Data archive monitored the translation process; every translation is subject to multi-stage validation procedure before the fieldwork can be started.
Data and File Information
  • Number of Variables: 231
Availability
Download
A - Data and documents are released for academic research and teaching.
Rights
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA7505 (Type: ZA-No.)
  • https://doi.org/10.14281/18241.2 (Type: DOI)
  • Internationale Umfrageprogramme (Type: FDZ)
Publications
  • The EVS Bibliography lists all kinds of publications using EVS data, based on national and cross-national analysis. The bibliography is an easy way to find relevant publications in the field of value studies. Moreover, some enhanced publications with information on the datasets, variables, and syntax codes of the concepts used are available. The EVS Bibliography can be found here [https://europeanvaluesstudy.eu/education-dissemination-publications/evs-publications/]. - EVS 2017: Please send your bibliographic citation to evs.bibliography@gesis.org. - WVS7: Please send your bibliographic citation to wvsa.secretariat@gmail.com.

Update Metadata: 2020-11-13 | Issue Number: 1 | Registration Date: 2020-11-13

EVS/WVS (2020): Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS). Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.13095