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

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).

Variable Groups

Document Description

Full Title

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

Study Description

Full Title

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

Identification Number

ZA7505

Authoring Entity

Name Affiliation
Gedeshi, Ilir Center for Economic and Social Studies (CESS), Tirana, Albania
Pachulia, Merab SORGU, Baku, Azerbaijan
Rotman, David The Center of Sociological and Political Research, Belarus State University, Minsk, Belarus
Kritzinger, Sylvia Department of Government, University of Vienna, Vienna, Austria
Poghosyan, Gevorg Institute of Philosophy, Sociology and Law, Armenian National Academy of Sciences, Yerevan, Armenia
Fotev, Georgy Faculty for Social Wellbeing, New Bulgarian University, Sofia, Bulgaria
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)
Baloban, Josip Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia
Rabušic, Ladislav Faculty of Social Studies, Masaryk University, Brno, Czech Republic
Frederiksen, Morten Statistics Denmark, Copenhagen, Denmark
Saar, Erki Saar Poll, Tallinn, Estonia
Ketola, Kimmo Kirkon tutkimuskeskus, Tampere, Finland
Pachulia, Merab GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia
Bréchon, Pierre Institut d'études politiques de Grenoble, Grenoble, France
Wolf, Christof Department of Social Sciences, GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany
Rosta, Gergely Department of Sociology, Pázmány Péter Catholic University, Budapest, Hungary
Voas, David Department of Social Science, University College London, Great Britain
Rovati, Giancarlo Department of Sociology, Catholic University of the Sacred Heart, Milan, Italy
Jónsdóttir, Guðbjörg A. Social Science Research Institute, University of Iceland, Reykjavik, Iceland
Ziliukaite, Ruta Department of Sociology, Vilnius University, Lithuania
Petkovska, Antoanela Department of Sociology, Ss. Cyril and Methodius University, Skopje, North Macedonia
Reeskens, Tim Department of Sociology, Tilburg University, Tilburg, Netherlands
Komar, Olivera De Facto Consultancy, Podgorica, Montenegro
Jenssen, Anders T. Department of Sociology and Political Science, Norwegian University of Science and Technology, Norway
Voicu, Bogdan Research institute for Quality of Life, Romanian Academy of Science, Bucharest, Romania
Soboleva, Natalia Laboratory for Comparative Social Research, Higher School of Economics, Moscow, Russia
Marody, Mirosława Institute of Sociology, University of Warsaw, Warsaw, Poland
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
Micó Ibáñez, Joan Institut d'Estudis Andorrans, Centre de Recerca Sociològica (CRES), Andorra
Carballo, Marita Voices Research and Consultancy S.A., Argentina
McAllister, Ian Australian National University
Foa, Roberto Stefan (PI Bangladesh) University of Melbourne, Australia
Moreno Morales, Daniel E. CIUDADANIA, Comunidad de Estudios Sociales y Acción Pública, Bolivia
de Oliveira de Castro, Henrique Carlos Federal University of Rio Grande do Sul, Brazil
Lagos, Marta Latino Barometro, MORI Chile
Zhong, Yang Public Opinion Research Center of School of International and Public Affairs at Shanghai Jiao Tong University, China
Casas, Andres (PI Colombia) Center for Social Norms and Behaviroal Dynamics, University of Pennsylvania, USA
Yesilada, Birol (PI Cyprus) Portland State University, USA
Paez, Cristina IPSOS Ecuador
Abdel Latif, Abdel Hamid Egyptian Research and Training Center, Egypt
Jennings, Will (PI Ethiopia) University of Southampton, UK
Welzel, Christian Leuphana Universität Lüneburg, Germany
Koniordos. Sokratis University of Crete, Greece
Díaz Argueta, Julio César Escuela de Trabajo Social, Universidad de San Carlos de Guatemala
Cheng, Edmund Department of Government and International Studies, Hong Kong
Gravelle, Timothy (PI Indonesia) University of Melbourne, Australia
Stoker, Gerry University of Southampton, UK
Dagher, Munqith International Institute for Administration and Social Survey (IIACSS), Jordan
Yamazaki, Seiko Dentsu Institute, Japan
Braizat, Fares NAMA Strategic Intelligence Solutions, Jordan
Rakisheva, Botagoz Public Opinion Research Institute, Kazakhstan
Bakaloff, Yuri Central Asia Barometer, Kyrgyzstan
Haerpfer, Christian (PI Lebanon) University of Vienna, Austria
Wing-yat Yu, Eilo Department of Government and Public Administration, University of Macau, Macao, China
Lee, Grace Monash University Malaysia
Moreno, Alejandro Instituto Tecnológico Autónomo de México
Souvanlasy, Chansada IRL (Indochina Research Laos) Myanmar Limited
Perry, Paul School of People, Environment and Planning, Massey University, New Zealand
Denton, Carlos (PI Nicaragua) CID/Gallup, S.A.
Puranen, Bi (PI Nigeria) Institute for Future Studies, Sweden
Gilani, Bilal Gallup Pakistan
Romero, Catalina Pontificia Universidad Católica del Perú
Guerrero, Linda Social Weather Stations, Philippines
Hernández Acosta, Javier J. Universidad del Sagrado Corazón, Puerto Rico
Voicu, Bogdan Romanian Academy, Research Institute for Quality of Life
Zavadskaya, Margarita Laboratory for Comparative Social Research, Higher School of Economics, Russia
Veskovic, Nino Singidunum University Belgrade, Serbia
Auh, Soo Young Korean Social Science Data Center/ Ewha Womans University, South Korea
Tsai, Ming-Chang Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan ROC
Olimov, Muzaffar Research Centre SHARQ /Oriens, Tajikistan
Bureekul, Thawilwadee King Prajadhipok's Institute, Thailand
Ben Hafaiedh, Abdelwahab Applied Social Science Forum, Tunisia
Esmer, Yilmaz Bahcesehir University, Turkey
Inglehart, Ronald University of Michigan, USA
Depouilly, Xavier Indochina Research Ltd Vietnam
Norris, Pippa (PI Zimbabwe) Harvard University, USA
Balakireva, Olga Social Monitoring Center, Ukraine

Producer

Name Affiliation Abbreviation Role
GESIS - Leibniz Institute for the Social Sciences (archive release data set and DDI documentation), http://www.gesis.org/ GESIS

Date of Production

2020-11-13

Place of Production

Cologne, Germany

Data Distributor

Name Affiliation Abbreviation
GESIS Data Archive for the Social Sciences GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany GESIS

Version

Version 1.0.0 (2020-11-13), doi:10.4232/1.13095

Date: 2020-11-13

Type: GESIS archive edition

Version Responsibility Statement

GESIS Data Archive for the Social Sciences

Bibliographic Citation

EVS/WVS (2020): Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS). GESIS Data Archive, Cologne. ZA7505 Data file Version 1.0.0, doi:10.4232/1.13095.

Topic Classification

  • Work and Industry
  • Political Attitudes and Behavior
  • Society, Culture
  • Family
  • Person, Personality, Role
  • Religion and Weltanschauung
  • Labour and employment
  • Cultural and national identity
  • Religion and values
  • Mass political behaviour, attitudes/opinion
  • Family life and marriage
  • Gender and gender roles

Geographic Coverage

  • Albania
  • Andorra
  • Argentina
  • Armenia
  • Australia
  • Austria
  • Azerbaijan
  • Bangladesh
  • Belarus
  • Bolivia, Plurinational State of
  • Bosnia and Herzegovina
  • Brazil
  • Bulgaria
  • Chile
  • China
  • Colombia
  • Croatia
  • Cyprus
  • Czech Republic
  • Denmark
  • Ecuador
  • Egypt
  • Estonia
  • Ethiopia
  • Finland
  • France
  • Georgia
  • Germany
  • Great Britain
  • Greece
  • Guatemala
  • Hong Kong
  • Hungary
  • Iceland
  • Indonesia
  • Iran, Islamic Republic of
  • Iraq
  • Italy
  • Japan
  • Jordan
  • Kazakhstan
  • Korea, Republic of
  • Kyrgyzstan
  • Lebanon
  • Lithuania
  • Macau
  • Malaysia
  • Mexico
  • Montenegro
  • Myanmar
  • Netherlands
  • New Zealand
  • Nicaragua
  • Nigeria
  • North Macedonia
  • Norway
  • Pakistan
  • Peru
  • Philippines
  • Poland
  • Portugal
  • Puerto Rico
  • Romania
  • Russian Federation
  • Serbia
  • Slovakia
  • Slovenia
  • Spain
  • Sweden
  • Switzerland
  • Taiwan
  • Tajikistan
  • Thailand
  • Tunisia
  • Turkey
  • Ukraine
  • United States of America
  • Viet Nam
  • Zimbabwe

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).

Time Method

Albania EVS 2017:
2018-02-24 - 2018-06-24

Andorra WVS wave 7:
2018-06-01 - 2018-09-22

Argentina WVS wave 7:
2017-07-04 - 2017-07-19

Armenia EVS 2017:
2018-02-20 - 2018-04-30

Australia WVS wave 7:
2018-04-06 - 2018-08-06

Austria EVS 2017:
2018-01-08 - 2018-05-14

Azerbaijan EVS 2017:
2018-11-10 - 2018-12-23

Bangladesh WVS wave 7:
2018-12-03 - 2018-12-24

Belarus EVS 2017:
2018-02-01 - 2018-03-05

Bolivia WVS wave 7:
2017-01-18 - 2017-03-07

Bosnia and Herzegovina EVS 2017:
2019-02-03 - 2019-06-14

Brazil WVS wave 7:
2018-05-15 - 2018-06-11

Bulgaria EVS 2017:
2017-11-11 - 2018-09-01

Chile WVS wave 7:
2018-01-06 - 2018-02-05

China WVS wave 7:
2018-07-07 - 2018-10-12

Colombia WVS wave 7:
2018-11-30 - 2018-12-22

Croatia EVS 2017:
2017-10-25 - 2018-02-16

Cyprus WVS wave 7:
2019-05-13 - 2019-06-04

Czech Republic EVS 2017:
2017-09-17 - 2017-12-01

Denmark EVS 2017:
2017-09-27 - 2018-01-31

Ecuador WVS wave 7:
2018-01-24 - 2018-03-03

Egypt WVS wave 7:
2018-06-22 - 2018-07-07

Estonia EVS 2017:
2018-05-17 - 2018-09-12

Ethiopia WVS wave 7:
2020-02-06 - 2020-03-19

Finland EVS 2017:
2017-11-24 - 2018-07-10

France EVS 2017:
2018-03-02 - 2018-08-16

Georgia EVS 2017:
2018-01-11 - 2018-03-18

Germany EVS 2017:
2017-10-23 - 2018-11-28

Germany WVS wave 7:
2017-10-25 - 2018-03-31

Great Britain EVS 2017:
2018-02-12 - 2018-07-16

Greece WVS wave 7:
2017-09-08 - 2017-10-16

Guatemala WVS wave 7:
2019-10-03 - 2020-02-25

Hong Kong WVS wave 7:
2018-07-16 - 2018-11-11

Hungary EVS 2017:
2018-02-24 - 2018-08-21

Iceland EVS 2017:
2017-06-19 - 2018-04-04

Indonesia WVS wave 7:
2018-06-01 - 2018-08-20

Iran WVS wave 7:
2020-03-24 - 2020-04-17

Iraq WVS wave 7:
2018-06-08 - 2018-06-28

Italy EVS 2017:
2018-09-24 - 2019-01-30

Japan WVS wave 7:
2019-09-05 - 2019-09-26

Jordan WVS wave 7:
2018-06-07 - 2018-06-14

Kazakhstan WVS wave 7:
2018-10-01 - 2018-11-30

Kyrgyzstan WVS wave 7:
2019-12-05 - 2020-01-28

Lebanon WVS wave 7:
2018-06-04 - 2018-06-18

Lithuania EVS 2017:
2017-12-08 - 2018-02-12

Macau WVS wave 7:
2019-10-03 - 2019-12-17

Malaysia WVS wave 7:
2018-04-05 - 2018-05-21

Mexico WVS wave 7:
2018-01-18 - 2018-05-02

Montenegro EVS 2017:
2019-07 - 2019-12

Myanmar WVS wave 7:
2020-01-17 - 2020-03-03

Netherlands EVS 2017:
2017-08-31 - 2018-02-28

New Zealand WVS wave 7:
2019-07-04 - 2020-02-21

Nicaragua WVS wave 7:
2019-11-30 - 2020-01-05

Nigeria WVS wave 7:
2017-12-19 - 2018-01-26

North Macedonia EVS 2017:
2018-12-10 - 2019-03-28

Norway EVS 2017:
2018-08-22 - 2018-12-17

Pakistan WVS wave 7:
2018-11-04 - 2018-12-11

Peru WVS wave 7:
2018-08-17 - 2018-09-09

Philippines WVS wave 7:
2019-12-03 - 2019-12-09

Poland EVS 2017:
2017-11-17 - 2018-02-08

Portugal EVS 2017:
2020-01-11 - 2020-03-01

Puerto Rico WVS wave 7:
2018-03-16 - 2018-10-27

Romania EVS 2017:
2018-02-03 - 2018-05-05

Romania WVS wave 7:
2017-11-30 - 2018-04-02

Russia EVS 2017:
2017-11-07 - 2017-12-25

Russia WVS wave 7:
2017-11-07 - 2017-12-29

Serbia EVS 2017:
2018-11-10 - 2018-12-21

Serbia WVS wave 7:
2017-05-20 - 2017-07-07

Slovak Republic EVS 2017:
2017-09-26 - 2017-12-03

Slovenia EVS 2017:
2017-09-30 - 2017-12-23

South Korea WVS wave 7:
2017-12-24 - 2018-01-16

Spain EVS 2017:
2017-11-28 - 2018-01-22

Sweden EVS 2017:
2017-09-27 - 2018-06-06

Switzerland EVS 2017:
2017-09-11 - 2018-02-22

Taiwan WVS wave 7:
2019-03-25 - 2019-06-16

Tajikistan WVS wave 7:
2020-01-08 - 2020-02-06

Thailand WVS wave 7:
2017-12-01 - 2018-02-26

Tunisia WVS wave 7:
2019-04-26 - 2019-05-20

Turkey WVS wave 7:
2018-03-31 - 2018-05-21

Ukraine WVS wave 7:
2020-07-25 - 2020-08-14

United States WVS wave 7:
2017-04-28 - 2017-05-31

Vietnam WVS wave 7:
2019-12-15 - 2020-01-21

Zimbabwe WVS wave 7:
2020-02-11 - 2020-03-23

Data Collector

EVS 2017:
Center for Economic and Social Studies (CESS), Tirana, Albania;
InterRating CoLtd, Yerevan, Armenia;
Institut für empirische Sozialforschung (IFES) GmbH, Vienna, Austria;
Sorgu, Baku, Azerbaijan;
Centre for Sociological and Political Research, Belarusian State University, Minsk, Belarus;
Custom Concept d.o.o., Sarajevo, Bosnia and Herzegovina;
Alpha Research LTD, Sofia, Bulgaria;
Catholic University of Croatia, Zagreb, and GfK research Agency, Zagreb, Croatia;
STEM/MARK, a.s., Praha, Czech Republic;
Statistics Denmark - Survey, Copenhagen, Denmark;
AS Emor,Tallinn, Estonia;
Taloustutkimus Oy, Lemuntie 9, 00910 Helsinki, Finland;
KANTAR PUBLIC - TAYLOR NELSON SOFRES, Paris, France;
GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia;
Kantar Deutschland GmbH, Kantar Public, München, Germany;
NatCen Social Research, London, Great Britain;
Forsense, Budapest, Hungary;
Social Science Research Institute, SSRI, University of Iceland, Reykjavik, Iceland;
Doxa Spa, Milano, Italy;
Surveys, Vilnius, Lithuania;
DeFacto Consultancy, Podgorica, Montenegro;
I&O Research B.V., Enschede, Netherlands and CentERdata, Tilburg, Netherlands;
Faculty of Philosophy, Skopje, North Macedonia;
Statistics Norway, Oslo, Norway;
Centrum Badania Opinii Społ
(Public Opinion Research Centre), Warszawa, Poland;
RES: Institutul Roman pentru Evaluare si Strategie, Romania;
ESSI (Institute for comparative Social Research), Moscow, Russia;
Nina media, Novi Sad, Serbia;
Kantar TNS, Bratislava, Slovakia;
University of Ljubljana, Faculty of Social Science, Ljubljana, Slovenia;
MyWord Research SL, Madrid, Spain;
IPSOS Observer Sweden AB, Härnösand, Sweden;
M.I.S Trend S.A;
Lausanne, Switzerland (Face-to-face) and Swiss Centre for Expertise in the Social Sciences FORS c/o University of Lausanne, Lausanne, Switzerland (Web-mail);
GfK-Metris, Lisbon, Portugal.


WVS wave 7

Institut d'Estudis Andorrans, Centre de Recerca Sociològica (CRES), Andorra;
Voices Research and Consultancy S.A., Argentina;
entre for Social Research and Methods, Australian National University;
SRG Bangladesh Limited (SRGB), Bangladesh;
CIUDADANIA, Comunidad de Estudios Sociales y Acción Pública, Bolivia;
Federal University of Rio Grande do Sul, Brazil;
Market Opinion Research International, Chile;
Public Opinion Research Center of School of International and Public Affairs at Shanghai Jiao Tong University, China;
Invamer, Colombia;
Cymar Research Company (survey in Cyprus South);
Prologue Consulting Ltd. (survey in Cyprus North);
IPSOS Ecuador;
Egyptian Research and Training Center, Egypt;
WAAS International/ TNS RMS Nigeria Limited / Kantar (survey in Ethiopia);
Kantar Deutschland GmbH, Kantar Public, München, Germany;
National Centre of Social Research (EKKE) & DIANEOSIS & Metron Analysis, Greece;
Innovation, Development & Research, S.A. & Social Work School of the University of San Carlos of Guatemala;
Centre for Communication and Public Opinion Survey (CCPOS) of the Chinese University of Hong Kong for FTF;
Survey Sampling International (SSI) for CAWI, Hong Kong SAR PRC;
Survey Meter, Indonesia;
R-Research Limited, UK (survey in Iran);
nternational Institute for Administration and Social Survey (IIACSS), Jordan (survey in Iraq);
Nippon Research Center, Ltd., Japan;
NAMA Strategic Intelligence Solutions, Jordan;
Public Opinion Research Institute, Kazakhstan;
Central Asia Barometer, Kyrgyzstan;
Statistics Lebanon Ltd.;
University of Macao, China;
PSOS Malaysia;
Moreno & Sotnikova Social Research and Consulting S.C., Mexico;
IRL (Indochina Research Laos) Myanmar Limited, Myanmar;
School of People, Environment and Planning, Massey University, New Zealand;
CID/Gallup, S.A. (survey in Nicaragua);
TNS RMS Nigeria Limited / Kantar;
Gallup Pakistan;
Public Opinion Institute at Pontifical Catholic University of Peru;
Social Weather Stations, Philippines;
Universidad del Sagrado Corazón, Puerto Rico;
IRES: Institutul Roman pentru Evaluare si Strategie, Romania;
CESSI - Institute for Comparative Social Research (survey in Russia);
Singidunum University Belgrade, Serbia;
Gallup South Korea;
Institute of Sociology, Academia Sinica, Taipei, Taiwan ROC;
Research Centre SHARQ /Oriens, Tajikistan;
King Prajadhipok's Institute, Thailand;
Applied Social Science Forum, Tunisia;
Bahcesehir University, Turkey;
University of Chicago, NORC AmeriSpeak, USA;
Indochina Research Ltd. Vietnam;
Consumer Feedback, Zimbabwe & TNS RMS Nigeria Limited/ Kantar;
Social Monitoring Center; Info Sapiens research center; Ukrainian Center for European Policy, Ukraine.

Sampling Procedure

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.

Mode of Data Collection

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.

Availability Status

D

Access Authority

Name Affiliation E-mail address Universal Resource Identifier

Related Materials

Variable Reports

Codebook
ZA7505_cdb.pdf

Frequencies by country EVS2017/WVS7
ZA7505_cdb_Tables.pdf

Questionnaires

EVS2017 Master
ZA7505_bq_EVS2017.pdf

WVS7 Master
ZA7505_bq_WVS7.pdf

Datasets

SPSS
ZA7505_v1-0-0.sav.zip

Stata
ZA7505_v1-0-0.dta.zip

ZA7505_VariableCorrespondence.xlsx
Variable Correspondence (Table)

ZA7505_ParticipatingCountries.xlsx
Participating Countries (Table)

Related Publications

Related 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.

Other References Note

WVS

EVS

Joint EVS/WVS at GESIS

Data Files Description

File Name

ZA7505-1.0.NSDstat

Overall Case Count

127358

Overall Variable Count

231

Type of File

Nesstar 200801

Download

Metadata Index

This is the Metadata Index for a Nesstar Server.
Nesstar is a tool used for analysing, visualising and downloading datasets.

Click the "Explore Dataset" button to open the dataset.