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

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...

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Main Authors: Gedeshi, Ilir, Pachulia, Merab, Rotman, David, Kritzinger, Sylvia, Poghosyan, Georg, Fotev, Georgy, Kolenović-Đapo, Jadranka, Balobana, Stjepan, Baloban, Josip, Rabušic, Ladislav, Frederiksen, Morten, Saar, Erki, Ketola, Kimmo, Bréchon, Pierre, Wolf, Christof, Rosta, Gergely, Voas, David, Rovati, Giancarlo, Jónsdóttir, Guðbjörg A., Ziliukaite, Ruta, Petkovska, Antoanela, Reeskens, Tim, Komar, Olivera, Jenssen, Anders T., Voicu, Bogdan, Soboleva, Natalia, Marody, Mirosława, Bešić, Miloš, Strapcová, Katarina, Uhan, Samo, Silvestre Cabrera, María, Wallman-Lundåsen, Susanne, Ernst Stähli, Michèle, Ramos, Alice, Micó Ibáñez, Joan, Carballo, Marita, McAllister, Ian, Foa, Roberto Stefan (PI Bangladesh), Moreno Morales, Daniel E., de Oliveira de Castro, Henrique Carlos, Lagos, Marta, Zhong, Yang, Casas, Andres, Yesilada, Birol, Paez, Cristina, Abdel Latif, Abdel Hamid, Jennings, Will, Welzel, Christian, Koniordos, Sokratis, Díaz Argueta, Julio César, Cheng, Edmund, Gravelle, Timothy, Stoker, Gerry, Dagher, Munqith, Yamazaki, Seiko, Braizat, Fares, Rakisheva, Botagoz, Bakaloff, Yuri, Haerpfer, Christian, Wing-yat Yu, Eilo, Lee, Grace, Moreno, Alejandro, Souvanlasy, Chansada, Perry, Paul, Denton, Carlos, Puranen, Bi, Gilani, Bilal, Romero, Catalina, Guerrero, Linda, Hernández Acosta, Javier J., Zavadskaya, Margarita, Veskovic, Nino, Auh, Soo Young, Tsai, Ming-Chang, Olimov, Muzaffar, Bureekul, Thawilwadee, Ben Hafaiedh, Abdelwahab, Esmer, Yilmaz, Inglehart, Ronald, Depouilly, Xavier, Norris, Pippa, Balakireva, Olga
Other Authors: 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, Baltic 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 Społecznej (Public Opinion Research Centre), Warszawa, Poland, IRES: Institutul Roman pentru Evaluare si Strategie, Romania, CESSI (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, Institut d’Estudis Andorrans, Centre de Recerca Sociològica (CRES), Andorra, Voices Research and Consultancy S.A., Argentina, Centre 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), National Centre of Social Research (EKKE) " DIANEOSIS " Metron Analysis, Greece
Format: Dataset
Language:English
Published: World Values Survey Association 2021
Subjects:
Online Access:https://doi.org/10.14281/18241.11
https://doi.org/10.4232/1.13670
id ftdara:oai:oai.da-ra.de:770364
record_format openpolar
institution Open Polar
collection da|ra - Registration agency for social and economic data
op_collection_id ftdara
language English
topic Work and Industry
Political Attitudes and Behavior
Society
Culture
Family
Person
Personality
Role
Religion and "Weltanschauung"
Labour and employment
Mass political behaviour
attitudes/opinion
Family life and marriage
Gender and gender roles
spellingShingle Work and Industry
Political Attitudes and Behavior
Society
Culture
Family
Person
Personality
Role
Religion and "Weltanschauung"
Labour and employment
Mass political behaviour
attitudes/opinion
Family life and marriage
Gender and gender roles
Gedeshi, Ilir
Pachulia, Merab
Rotman, David
Kritzinger, Sylvia
Poghosyan, Georg
Fotev, Georgy
Kolenović-Đapo, Jadranka
Balobana, Stjepan
Baloban, Josip
Rabušic, Ladislav
Frederiksen, Morten
Saar, Erki
Ketola, Kimmo
Bréchon, Pierre
Wolf, Christof
Rosta, Gergely
Voas, David
Rovati, Giancarlo
Jónsdóttir, Guðbjörg A.
Ziliukaite, Ruta
Petkovska, Antoanela
Reeskens, Tim
Komar, Olivera
Jenssen, Anders T.
Voicu, Bogdan
Soboleva, Natalia
Marody, Mirosława
Bešić, Miloš
Strapcová, Katarina
Uhan, Samo
Silvestre Cabrera, María
Wallman-Lundåsen, Susanne
Ernst Stähli, Michèle
Ramos, Alice
Micó Ibáñez, Joan
Carballo, Marita
McAllister, Ian
Foa, Roberto Stefan (PI Bangladesh)
Moreno Morales, Daniel E.
de Oliveira de Castro, Henrique Carlos
Lagos, Marta
Zhong, Yang
Casas, Andres
Yesilada, Birol
Paez, Cristina
Abdel Latif, Abdel Hamid
Jennings, Will
Welzel, Christian
Koniordos, Sokratis
Díaz Argueta, Julio César
Cheng, Edmund
Gravelle, Timothy
Stoker, Gerry
Dagher, Munqith
Yamazaki, Seiko
Braizat, Fares
Rakisheva, Botagoz
Bakaloff, Yuri
Haerpfer, Christian
Wing-yat Yu, Eilo
Lee, Grace
Moreno, Alejandro
Souvanlasy, Chansada
Perry, Paul
Denton, Carlos
Puranen, Bi
Gilani, Bilal
Romero, Catalina
Guerrero, Linda
Hernández Acosta, Javier J.
Zavadskaya, Margarita
Veskovic, Nino
Auh, Soo Young
Tsai, Ming-Chang
Olimov, Muzaffar
Bureekul, Thawilwadee
Ben Hafaiedh, Abdelwahab
Esmer, Yilmaz
Inglehart, Ronald
Depouilly, Xavier
Norris, Pippa
Balakireva, Olga
Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
topic_facet Work and Industry
Political Attitudes and Behavior
Society
Culture
Family
Person
Personality
Role
Religion and "Weltanschauung"
Labour and employment
Mass political behaviour
attitudes/opinion
Family life and marriage
Gender and gender roles
description 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 1.6, 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). 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). EVS 2017: The sampling procedures differ from country to country:Probability Sample: Multistage SampleProbability Sample: Simple Random SampleRepresentative 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 SampleProbability Sample: Simple Random SampleRepresentative 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. EVS 2017: 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).WVS wave 7: 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 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.
author2 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
Baltic 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 Społecznej (Public Opinion Research Centre), Warszawa, Poland
IRES: Institutul Roman pentru Evaluare si Strategie, Romania
CESSI (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
Institut d’Estudis Andorrans, Centre de Recerca Sociològica (CRES), Andorra
Voices Research and Consultancy S.A., Argentina
Centre 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)
National Centre of Social Research (EKKE) " DIANEOSIS " Metron Analysis, Greece
format Dataset
author Gedeshi, Ilir
Pachulia, Merab
Rotman, David
Kritzinger, Sylvia
Poghosyan, Georg
Fotev, Georgy
Kolenović-Đapo, Jadranka
Balobana, Stjepan
Baloban, Josip
Rabušic, Ladislav
Frederiksen, Morten
Saar, Erki
Ketola, Kimmo
Bréchon, Pierre
Wolf, Christof
Rosta, Gergely
Voas, David
Rovati, Giancarlo
Jónsdóttir, Guðbjörg A.
Ziliukaite, Ruta
Petkovska, Antoanela
Reeskens, Tim
Komar, Olivera
Jenssen, Anders T.
Voicu, Bogdan
Soboleva, Natalia
Marody, Mirosława
Bešić, Miloš
Strapcová, Katarina
Uhan, Samo
Silvestre Cabrera, María
Wallman-Lundåsen, Susanne
Ernst Stähli, Michèle
Ramos, Alice
Micó Ibáñez, Joan
Carballo, Marita
McAllister, Ian
Foa, Roberto Stefan (PI Bangladesh)
Moreno Morales, Daniel E.
de Oliveira de Castro, Henrique Carlos
Lagos, Marta
Zhong, Yang
Casas, Andres
Yesilada, Birol
Paez, Cristina
Abdel Latif, Abdel Hamid
Jennings, Will
Welzel, Christian
Koniordos, Sokratis
Díaz Argueta, Julio César
Cheng, Edmund
Gravelle, Timothy
Stoker, Gerry
Dagher, Munqith
Yamazaki, Seiko
Braizat, Fares
Rakisheva, Botagoz
Bakaloff, Yuri
Haerpfer, Christian
Wing-yat Yu, Eilo
Lee, Grace
Moreno, Alejandro
Souvanlasy, Chansada
Perry, Paul
Denton, Carlos
Puranen, Bi
Gilani, Bilal
Romero, Catalina
Guerrero, Linda
Hernández Acosta, Javier J.
Zavadskaya, Margarita
Veskovic, Nino
Auh, Soo Young
Tsai, Ming-Chang
Olimov, Muzaffar
Bureekul, Thawilwadee
Ben Hafaiedh, Abdelwahab
Esmer, Yilmaz
Inglehart, Ronald
Depouilly, Xavier
Norris, Pippa
Balakireva, Olga
author_facet Gedeshi, Ilir
Pachulia, Merab
Rotman, David
Kritzinger, Sylvia
Poghosyan, Georg
Fotev, Georgy
Kolenović-Đapo, Jadranka
Balobana, Stjepan
Baloban, Josip
Rabušic, Ladislav
Frederiksen, Morten
Saar, Erki
Ketola, Kimmo
Bréchon, Pierre
Wolf, Christof
Rosta, Gergely
Voas, David
Rovati, Giancarlo
Jónsdóttir, Guðbjörg A.
Ziliukaite, Ruta
Petkovska, Antoanela
Reeskens, Tim
Komar, Olivera
Jenssen, Anders T.
Voicu, Bogdan
Soboleva, Natalia
Marody, Mirosława
Bešić, Miloš
Strapcová, Katarina
Uhan, Samo
Silvestre Cabrera, María
Wallman-Lundåsen, Susanne
Ernst Stähli, Michèle
Ramos, Alice
Micó Ibáñez, Joan
Carballo, Marita
McAllister, Ian
Foa, Roberto Stefan (PI Bangladesh)
Moreno Morales, Daniel E.
de Oliveira de Castro, Henrique Carlos
Lagos, Marta
Zhong, Yang
Casas, Andres
Yesilada, Birol
Paez, Cristina
Abdel Latif, Abdel Hamid
Jennings, Will
Welzel, Christian
Koniordos, Sokratis
Díaz Argueta, Julio César
Cheng, Edmund
Gravelle, Timothy
Stoker, Gerry
Dagher, Munqith
Yamazaki, Seiko
Braizat, Fares
Rakisheva, Botagoz
Bakaloff, Yuri
Haerpfer, Christian
Wing-yat Yu, Eilo
Lee, Grace
Moreno, Alejandro
Souvanlasy, Chansada
Perry, Paul
Denton, Carlos
Puranen, Bi
Gilani, Bilal
Romero, Catalina
Guerrero, Linda
Hernández Acosta, Javier J.
Zavadskaya, Margarita
Veskovic, Nino
Auh, Soo Young
Tsai, Ming-Chang
Olimov, Muzaffar
Bureekul, Thawilwadee
Ben Hafaiedh, Abdelwahab
Esmer, Yilmaz
Inglehart, Ronald
Depouilly, Xavier
Norris, Pippa
Balakireva, Olga
author_sort Gedeshi, Ilir
title Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
title_short Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
title_full Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
title_fullStr Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
title_full_unstemmed Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
title_sort joint evs/wvs 2017-2021 dataset (joint evs/wvs)
publisher World Values Survey Association
publishDate 2021
url https://doi.org/10.14281/18241.11
https://doi.org/10.4232/1.13670
op_coverage Albania
Armenia
Austria
Azerbaijan
Bosnia and Herzegovina
Belarus
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Finland
France
Georgia
Germany
Great Britain
Hungary
Iceland
Italy
Montenegro
Lithuania
North Macedonia
Netherlands
Norway
Poland
Romania
Russian Federation
Serbia
Slovakia
Slovenia
Sweden
Spain
Switzerland
Portugal
Andorra
Argentina
Australia
Bangladesh
Bolivia, Plurinational State of
Brazil
Chile
China
Colombia
Cyprus
Ecuador
Egypt
Ethiopia
Greece
Guatemala
Hong Kong
Indonesia
Iran, Islamic Republic of
Iraq
Japan
Jordan
Kazakhstan
Kyrgyzstan
Lebanon
Macau
Malaysia
Mexico
Myanmar
New Zealand
Nicaragua
Nigeria
Pakistan
Peru
Philippines
Puerto Rico
Korea, Republic of
Taiwan
Tajikistan
Thailand
Tunisia
Turkey
United States
Viet Nam
Zimbabwe
Ukraine
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 Argentina
New Zealand
Norway
geographic_facet Argentina
New Zealand
Norway
genre Iceland
genre_facet Iceland
op_relation DOI: https://doi.org/10.4232/1.13560
DOI: https://doi.org/10.14281/18241.10
DOI: https://doi.org/10.14281/18241.2
DOI: https://doi.org/10.14281/18241.14
doi:10.14281/18241.11
ZA-No.: ZA7505-1.0.0
doi:10.4232/1.13670
op_rights Other
No commercial usage
Download
op_doi https://doi.org/10.14281/18241.11
https://doi.org/10.4232/1.13670
https://doi.org/10.4232/1.13560
https://doi.org/10.14281/18241.10
https://doi.org/10.14281/18241.2
https://doi.org/10.14281/18241.14
_version_ 1766043963150565376
spelling ftdara:oai:oai.da-ra.de:770364 2023-05-15T16:53:25+02:00 Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS) Gedeshi, Ilir Pachulia, Merab Rotman, David Kritzinger, Sylvia Poghosyan, Georg Fotev, Georgy Kolenović-Đapo, Jadranka Balobana, Stjepan Baloban, Josip Rabušic, Ladislav Frederiksen, Morten Saar, Erki Ketola, Kimmo Bréchon, Pierre Wolf, Christof Rosta, Gergely Voas, David Rovati, Giancarlo Jónsdóttir, Guðbjörg A. Ziliukaite, Ruta Petkovska, Antoanela Reeskens, Tim Komar, Olivera Jenssen, Anders T. Voicu, Bogdan Soboleva, Natalia Marody, Mirosława Bešić, Miloš Strapcová, Katarina Uhan, Samo Silvestre Cabrera, María Wallman-Lundåsen, Susanne Ernst Stähli, Michèle Ramos, Alice Micó Ibáñez, Joan Carballo, Marita McAllister, Ian Foa, Roberto Stefan (PI Bangladesh) Moreno Morales, Daniel E. de Oliveira de Castro, Henrique Carlos Lagos, Marta Zhong, Yang Casas, Andres Yesilada, Birol Paez, Cristina Abdel Latif, Abdel Hamid Jennings, Will Welzel, Christian Koniordos, Sokratis Díaz Argueta, Julio César Cheng, Edmund Gravelle, Timothy Stoker, Gerry Dagher, Munqith Yamazaki, Seiko Braizat, Fares Rakisheva, Botagoz Bakaloff, Yuri Haerpfer, Christian Wing-yat Yu, Eilo Lee, Grace Moreno, Alejandro Souvanlasy, Chansada Perry, Paul Denton, Carlos Puranen, Bi Gilani, Bilal Romero, Catalina Guerrero, Linda Hernández Acosta, Javier J. Zavadskaya, Margarita Veskovic, Nino Auh, Soo Young Tsai, Ming-Chang Olimov, Muzaffar Bureekul, Thawilwadee Ben Hafaiedh, Abdelwahab Esmer, Yilmaz Inglehart, Ronald Depouilly, Xavier Norris, Pippa Balakireva, Olga 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 Baltic 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 Społecznej (Public Opinion Research Centre), Warszawa, Poland IRES: Institutul Roman pentru Evaluare si Strategie, Romania CESSI (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 Institut d’Estudis Andorrans, Centre de Recerca Sociològica (CRES), Andorra Voices Research and Consultancy S.A., Argentina Centre 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) National Centre of Social Research (EKKE) " DIANEOSIS " Metron Analysis, Greece Albania Armenia Austria Azerbaijan Bosnia and Herzegovina Belarus Bulgaria Croatia Czech Republic Denmark Estonia Finland France Georgia Germany Great Britain Hungary Iceland Italy Montenegro Lithuania North Macedonia Netherlands Norway Poland Romania Russian Federation Serbia Slovakia Slovenia Sweden Spain Switzerland Portugal Andorra Argentina Australia Bangladesh Bolivia, Plurinational State of Brazil Chile China Colombia Cyprus Ecuador Egypt Ethiopia Greece Guatemala Hong Kong Indonesia Iran, Islamic Republic of Iraq Japan Jordan Kazakhstan Kyrgyzstan Lebanon Macau Malaysia Mexico Myanmar New Zealand Nicaragua Nigeria Pakistan Peru Philippines Puerto Rico Korea, Republic of Taiwan Tajikistan Thailand Tunisia Turkey United States Viet Nam Zimbabwe Ukraine 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 2021-01-26 SPSS, Stata, SAS, R https://doi.org/10.14281/18241.11 https://doi.org/10.4232/1.13670 English eng World Values Survey Association DOI: https://doi.org/10.4232/1.13560 DOI: https://doi.org/10.14281/18241.10 DOI: https://doi.org/10.14281/18241.2 DOI: https://doi.org/10.14281/18241.14 doi:10.14281/18241.11 ZA-No.: ZA7505-1.0.0 doi:10.4232/1.13670 Other No commercial usage Download Work and Industry Political Attitudes and Behavior Society Culture Family Person Personality Role Religion and "Weltanschauung" Labour and employment Mass political behaviour attitudes/opinion Family life and marriage Gender and gender roles Dataset 2021 ftdara https://doi.org/10.14281/18241.11 https://doi.org/10.4232/1.13670 https://doi.org/10.4232/1.13560 https://doi.org/10.14281/18241.10 https://doi.org/10.14281/18241.2 https://doi.org/10.14281/18241.14 2022-05-13T06:06:46Z 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 1.6, 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). 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). EVS 2017: The sampling procedures differ from country to country:Probability Sample: Multistage SampleProbability Sample: Simple Random SampleRepresentative 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 SampleProbability Sample: Simple Random SampleRepresentative 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. EVS 2017: 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).WVS wave 7: 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 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. Dataset Iceland da|ra - Registration agency for social and economic data Argentina New Zealand Norway