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 collectio...
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World Values Survey Association
2020
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Online Access: | https://dx.doi.org/10.14281/18241.2 http://www.worldvaluessurvey.org/WVSEVSjoint2017.jsp |
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KAT37 Work and Industry KAT15 Political Attitudes and Behavior KAT50 Society, Culture KAT53 Family KAT54 Person, Personality, Role KAT57 Religion and "Weltanschauung" Labour and employment Mass political behaviour, attitudes/opinion Family life and marriage Gender and gender roles |
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KAT37 Work and Industry KAT15 Political Attitudes and Behavior KAT50 Society, Culture KAT53 Family KAT54 Person, Personality, Role KAT57 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 Pachulia, Merab 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 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. Voicu, Bogdan 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 |
KAT37 Work and Industry KAT15 Political Attitudes and Behavior KAT50 Society, Culture KAT53 Family KAT54 Person, Personality, Role KAT57 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 1.5, 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 dont 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 respondents 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: 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. : 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 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. |
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 Pachulia, Merab 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 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. Voicu, Bogdan 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 Pachulia, Merab 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 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. Voicu, Bogdan 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 |
2020 |
url |
https://dx.doi.org/10.14281/18241.2 http://www.worldvaluessurvey.org/WVSEVSjoint2017.jsp |
geographic |
Norway New Zealand Argentina |
geographic_facet |
Norway New Zealand Argentina |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
https://dx.doi.org/10.4232/1.13560 https://dx.doi.org/10.14281/18241.1 https://dx.doi.org/10.14281/18241.11 |
op_rights |
No commercial usage Other |
op_doi |
https://doi.org/10.14281/18241.2 https://doi.org/10.4232/1.13560 https://doi.org/10.14281/18241.1 https://doi.org/10.14281/18241.11 |
_version_ |
1766044057195249664 |
spelling |
ftdatacite:10.14281/18241.2 2023-05-15T16:53:30+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 Pachulia, Merab 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 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. Voicu, Bogdan 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 2020 SPSS, Stata, SAS, R https://dx.doi.org/10.14281/18241.2 http://www.worldvaluessurvey.org/WVSEVSjoint2017.jsp en eng World Values Survey Association https://dx.doi.org/10.4232/1.13560 https://dx.doi.org/10.14281/18241.1 https://dx.doi.org/10.14281/18241.11 No commercial usage Other KAT37 Work and Industry KAT15 Political Attitudes and Behavior KAT50 Society, Culture KAT53 Family KAT54 Person, Personality, Role KAT57 Religion and "Weltanschauung" Labour and employment Mass political behaviour, attitudes/opinion Family life and marriage Gender and gender roles dataset Dataset 2020 ftdatacite https://doi.org/10.14281/18241.2 https://doi.org/10.4232/1.13560 https://doi.org/10.14281/18241.1 https://doi.org/10.14281/18241.11 2021-11-05T12:55:41Z 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 1.5, 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 dont 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 respondents 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: 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. : 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 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. Dataset Iceland DataCite Metadata Store (German National Library of Science and Technology) Norway New Zealand Argentina |