The International Social Survey Programme (ISSP) is a continuous programme of cross-national collaboration running annual surveys on topics important for the social sciences. The programme started in 1984 with four founding members - Australia, Germany, Great Britain, and the United States – and has now grown to almost 50 member countries from all over the world. As the surveys are designed for replication, they can be used for both, cross-national and cross-time comparisons. Each ISSP module focuses on a specific topic, which is repeated in regular time intervals. Please, consult the documentation for details on how the national ISSP surveys are fielded. The present study focuses on questions about social inequality.
Importance of social background and other factors as prerequisites for personal success in society (wealthy family, well-educated parents, good education, ambitions, natural ability, hard work, knowing the right people, political connections, person´s race and religion, the part of a country a person comes from, gender and political beliefs); chances to increase personal standard of living (social mobility); corruption as criteria for social mobility; importance of differentiated payment; higher payment with acceptance of increased responsibility; higher payment as incentive for additional qualification of workers; avoidability of inequality of society; increased income expectation as motivation for taking up studies; good profits for entrepreneurs as best prerequisite for increase in general standard of living; insufficient solidarity of the average population as reason for the persistence of social inequalities; opinion about own salary: actual occupational earning is adequate; income differences are too large in the respondent´s country; responsibility of government to reduce income differences; government should provide chances for poor children to go to university; jobs for everyone who wants one; government should provide a decent living standard for the unemployed and spend less on benefits for poor people; demand for basic income for all; opinion on taxes for people with high incomes; judgement on total taxation for recipients of high, middle and low incomes; justification of better medical supply and better education for richer people; perception of class conflicts between social groups in the country (poor and rich people, working class and middle class, unemployed and employed people, management and workers, farmers and city people, people at the top of society and people at the bottom, young people and older people); salary criteria (scale: job responsibility, years of education and training, supervising others, needed support for familiy and children, quality of job performance or hard work at the job); feeling of a just payment; perceived and desired social structure of country; self-placement within social structure of society; number of books in the parental home in the respondent´s youth (cultural resources); self-assessment of social class; level of status of respondent´s job compared to father (social mobility); self-employment, employee of a private company or business or government, occupation (ILO, ISCO 1988), type of job of respondent´s father in the respondent´s youth; mother´s occupation (ILO, ISCO 1988) in the respondent´s youth; respondent´s type of job in first and current (last) job; self-employment of respondent´ first job or worked for someone else.

Demograpyh: sex; age; marital status; steady life partner; education of respondent: years of schooling and highest education level; current employment status; hours worked weekly; occupation (ILO, ISCO 1988); self-employment; supervising function at work; working-type: working for private or public sector or self-employed; if self-employed: number of employees; trade union membership; highest education level of father and mother; education of spouse or partner: years of schooling and highest education level; current employment status of spouse or partner; occupation of spouse or partner (ILO, ISCO 1988); self-employment of spouse or partner; size of household; household composition (children and adults); type of housing; party affiliation (left-right (derived from affiliation to a certain party); party affiliation (derived from question on left-right placement); party preference; participation in last election; perceived position of party voted for on left-right-scale; attendance of religious services; religious main groups (derived); self-placement on a top-bottom scale; region.

Additionally coded: several country variables; weighting factor.

ALLBUS (GGSS - the German General Social Survey) is a biennial trend survey based on random samples of the German population. Established in 1980, its mission is to monitor attitudes, behavior, and social change in Germany. Each ALLBUS cross-sectional survey consists of one or two main question modules covering changing topics, a range of supplementary questions and a core module providing detailed demographic information. Additionally, data on the interview and the interviewers are provided as well. Key topics generally follow a 10-year replication cycle, many individual indicators and item batteries are replicated at shorter intervals.

Since the mid-1980ies ALLBUS also regularly hosts one or two modules of the ISSP (International Social Survey Programme).

The main question module of ALLBUS/GGSS 2018 covers political attitudes and political participation (including trust, populism, political knowledge, attitudes towards democracy). Other topics include use of media, social inequality and social capital, national pride and right-wing-extremism, and attitudes relating to the process of German unification. Additionally included are the ISSP modules “Social networks II” and “Religion IV”.

Topics:

1.) Economy: assessments of the present and future economic situation in Germany, assessment of present and future personal economic situation.

2.) Use of media: frequency and overall time of watching television; frequency of watching news programs on public and private channels respectively; frequency of reading a daily newspaper per week; frequency of using the Internet for political information.

3.) Politics: Political attitudes: Party inclination, political interest, self-placement on left-right continuum, placement of political parties on a left-right-continuum likelihood of voting for different political parties, postmaterialism (importance of law and order, fighting rising prices, free expression of opinions, and influence on governmental decisions); attitudes towards refugees, support for demanding more adaptation of immigrants to German customs and practices, for less government interference in the economy, for stricter environmental protection measures, for a ban on same-sex marriages, for the preferential treatment of women with regard to job applications and promotions, for harsher punishment of criminals, for making social security government´s top priority, for a redistribution of income in favor of the common people; for the view that immigrants are good for the economy, for access to abortion without legal limitations, for more global free trade, for stopping the influx of refugees;

Political participation: personal participation or willingness to participate in selected forms of protest, norms for political participation (citizens should voice their political discontent, participation in the vote is a civic duty, acceptability of political violence, plebiscites are a necessary part of democracy, everybody should keep up with politics);

Political self-efficacy: assessment of own capability and that of the majority of people with regard to working in apolitical group, too much complexity in politics, perception of politicians’ attitude toward the people, personal and average citizen´s level of political knowledge; Confidence in public institutions and organizations: public health service, federal constitutional court, federal parliament (Bundestag), city or municipal administration, judiciary, television, newspapers, universities, federal government, the police, political parties, European Commission, European Parliament;

Populism scale: members of parliament must only be bound to the will of the people, politicians talk too much and do too little, ordinary citizens would make better representatives than professional politicians, political compromise is a betrayal of principles, the people should make the important political decisions, the people agree on what needs to happen politically, politicians only care about the rich and powerful;

Attitudes towards democracy: support for the idea of democracy, political support (satisfaction with democracy in Germany, satisfaction with the performance of the federal government), necessity and role of the political opposition, freedom of expression, necessity and role of political parties, all democratic parties should have the chance of getting into government, social conflicts and the common good, media influence on the formation of political opinion, satisfac...

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden.

The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones.

The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

60 countries : Algeria, Argentina, Armenia, Australia, Azerbaijan, Belarus, Brazil, Colombia, Cyprus, Chile, China, Ecuador, Egypt, Estonia, Georgia, Germany, Ghana, Haiti, Hong Kong, India, Iraq, Japan, Jordan, Kazakhstan, Kuwait, Kyrgyzstan, Lebanon, Libya, Malaysia, Mexico, Morocco, Netherlands, New Zealand, Nigeria, Pakistan, Palestine, Peru, Philippines, Poland, Qatar, Romania, Russian Federation, Rwanda, Singapore, Slovenia, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, Trinidad and Tobago, Tunisia, Turkey, Ukraine, United States, Uruguay, Uzbekistan, Yemen, Zimbabwe

Analysis unit

Household Individual

Universe

WVS surveys are required to cover all residents (not only citizens) between the ages of 18 and 85, inclusive. PI's can lower the minimum age limit as long as the minimum required sample size for the 18+ population (N=1200) is achieved.

Kind of data

Sample survey data [ssd]

Sampling procedure

Wave 6 covers 60 countries and societies around the world and more than 85,000 respondents.

The minimum sample size - i.e. the number of completed interviews which are included into the national data-set in the most of countries is 1200. Samples must be representative of all people in the age 18 and older residing within private households in each country, regardless of their nationality, citizenship or language. Whether the sampling method is full probability or a combination of probability and stratified, the national team should aim at obtaining as many Primary Sampling Units (starting points in case of random route sampling) in the sample as possible. It is highly recommended that a number of respondents per a PSU (or a route in case of random route sample) is not exceeding 10 respondents. It is possible to have several Primary Sampling Units per one settlement; they should be located in quite a good distance from each other. WVSA requires a complete explanation of proposed sampling procedures before the beginning of the survey fieldwork.

Mode of data collection

Other [oth]

Research instrument

For each wave, suggestions for questions are solicited by social scientists from all over the world and a final master questionnaire is developed in English. Since the start in 1981 each successive wave has covered a broader range of societies than the previous one. Analysis of the data from each wave has indicated that certain questions tapped interesting and important concepts while others were of little value. This has led to the more useful questions or themes being replicated in future waves while the less useful ones have been dropped making room for new questions.

The questionnaire is translated into the various national languages and in many cases independently translated back to English to check the accuracy of the translation. In most countries, the translated questionnaire is pre-tested to help identify questions for which the translation is problematic. In some cases certain problematic questions are omitted from the national questionnaire.

WVS requires implementation of the common questionnaire fully and faithfully, in all countries included into one wave. Any alteration to the original questionnaire has to be approved by the EC. Omission of no more than a maximum of 12 questions in any given country can be allowed.

Full edition for scientific use. PUMA Surveys consist of separate modules designed and prepared by different principle investigators. This PUMA Survey consists of three modules: MODULE 1 "Non-Health Influences on Generic Health Ratings: Comparing the Susceptibility of Self-Rated Health (SRH) and the Minimum European Health Module (MEHM) to Biases Due to Optimism, Hypochondriasis, and Social Desirability", MODULE 2 "Online completion versus face-to-face completion. Testing mixing modes of data collection for Austrian social surveys", MODULE 3 "Concerns of Smartphone Owners When Using their Device for Research". Fieldwork was conducted by Statistics Austria. MODULE 1: Non-Health Influences on Generic Health Ratings: Comparing the Susceptibility of Self-Rated Health (SRH) and the Minimum European Health Module (MEHM) to Biases Due to Optimism, Hypochondriasis, and Social Desirability (Patrick Lazarevič, Martina Brandt, Marc Luy, Caroline Berghammer) Self-rated health (SRH) is the most widely used single-indicator of health in many scientific disciplines (Jylhä 2009). Even though more comprehensive approaches to measure generic health exist, they are often too time consuming for survey interviews, especially in multi-thematic surveys, due to time limitations. Research in this regard has shown that, even when controlling for comprehensive health information, SRH is noticeably and independently influenced by non-health factors like satisfaction with life or social participation (e.g., Lazarevič 2018). While these results illustrate that health ratings are influenced by non-health factors, the personality traits that are assumed to bias SRH (e.g., optimism, social desirability, or hypochondriasis) are typically not directly measured. The Minimum European Health Module (MEHM), as proposed by Robine & Jagger (2003), complements SRH with the questions whether the respondent suffers from a chronic disease and whether and to what extent they are limited in their usual activities due to a health problem. Thus, MEHM can be seen as a compromise between using SRH as a single-indicator and a comprehensive scale while covering the two most relevant factors for health ratings, i.e., chronic diseases and the functional status (Lazarevič 2018). While MEHM is obviously less time- and cost-intensive than more comprehensive approaches to measure health and there was some research done on its components separately (e.g., Berger et al. 2015), hardly anything is known about its usefulness as a short-scale of generic health, its overall psychometric properties, and its susceptibility to non-health factors potentially biasing the health measurement. This module tested the feasibility and utility of using the Minimum European Health Module (MEHM) as a short scale for measuring generic health. We demonstrate the feasibility of extracting a factor score from MEHM utilizing confirmatory factor analyses based on polychoric correlations. Further analyses suggest that this factor score might be useful in reducing bias in generic health measurement due to optimism and social desirability. MODULE 2: Online completion versus face-to-face completion. Testing mixing modes of data collection for Austrian social surveys (Markus Hadler, Franz Höllinger, Anja Eder) Collecting data online is a promising tool, given the problems survey research faces in terms of lowering response rates and increasing costs. Yet, the results on the comparability of online and face-to-face surveys are ambiguous (see Roberts et al. 2016). Therefore, the aim of our research is to test differences in responses when completing surveys online compared to collecting the same data face-to-face. Our PUMA-module collects some of the core ISSP questions online, which were asked face-to-face (CAPI) in the same time-period. The topics of the ISSP questionnaires 2017 and 2018 are “Social Networks” and “Religion.” At face value, we expect that these two areas may attract different respondents when conducted online as compared to face-to-face. Online networking should be more prevalent and traditional religious activities less common among the online respondents. If there are no significant differences between these two samples, our study will be a strong indicator that online tools are valid instruments. Therefore, the mixed modes design aims to break new ground in understanding the advantages and limitations, the costs and benefits of combining online and face-to-face interviews in Austria on the basis of two prominent survey modules from the International Social Survey Programme. MODULE 3: Concerns of Smartphone Owners When Using their Device for Research (Florian Keusch, Martin Weichbold) Smartphone use is on the rise worldwide (Pew Research Center 2017). Survey researchers are aware that smartphone users increasingly complete online surveys on their mobile devices and have investigated the quality of survey data provided via smartphones (e.g., Couper et al. 2017; Keusch & Yan 2017). At the same time, the rising penetration of smartphones also gives researchers the chance to collect data from smartphone users that goes beyond self-reporting through surveys. Smartphones can be used to collect a variety of data about respondents such as geolocation, measures of physical activity, online behavior and browser history, app usage, call logs, or photos (Link et al. 2014). These data would allow researchers to make inferences about, among others, users’ mobility patterns, consumer behavior, health, and social interactions. Compared to surveys, which rely on self-reports, passive mobile data collection has the potential to provide richer data (because it can be collected in much higher frequencies), to decrease respondent burden (because fewer survey questions need to be asked), and to reduce measurement error (because of reduction in recall errors and social desirability). However, agreeing to allow for passive collection of data from smartphones is an additional step in the consent process, and participants might feel uncomfortable sharing these data with researchers due to security, privacy, and confidentiality concerns. In addition, different subgroups might differ in their skills of smartphone use and thus feel more or less comfortable using smartphones for research, leading to bias due to differential nonresponse of specific groups. This module wants to find out whether new forms of smartphone data collection (using sensors, apps, and camera) could be a supplement to survey research as they provide rich data and could enlarge our knowledge about people’s behavior while reducing respondent burden. Collecting these data has ethical and practical implications: agreeing to collect data from smartphones is an additional step in the consent process, and participants might feel uncomfortable sharing these data with researchers due to security, privacy, and confidentiality concerns. In addition, different subgroups might differ in their skills of smartphone use and thus feel more or less comfortable using smartphones for research, leading to bias due to differential nonparticipation of specific groups. We find that concern for using smartphones for research differs by research task, and that the diversity of smartphone activities correlates with concern.

The International Social Survey Programme (ISSP) is a continuous programme of cross-national collaboration running annual surveys on topics important for the social sciences. The programme started in 1984 with four founding members - Australia, Germany, Great Britain, and the United States – and has now grown to almost 50 member countries from all over the world. As the surveys are designed for replication, they can be used for both, cross-national and cross-time comparisons. Each ISSP module focuses on a specific topic, which is repeated in regular time intervals. Please, consult the documentation for details on how the national ISSP surveys are fielded. The present study focuses on questions about religion and religious identity.
Assessment of personal happiness; responsibility of government for providing jobs and reduction of the difference between rich and poor; attitudes towards sexual relations before marriage; attitudes towards sexual relations with someone other than spouse; attitudes towards homosexual relationships between adults; attitudes towards abortion in case of serious disability or illness of the baby or low income of the family; attitudes towards gender roles in marriage (husband earns money, wife’s job is family, family life suffers if women works fulltime); attitude towards tax fraud and incorrect information to get benefits from government; trust in institutions (parliament, business and industry, churches and religious organizations, courts and legal system, schools and educational system); attitudes towards the influence of religious leaders on vote and government; judgement on the power of churches and religious organizations; doubt or firm belief in God (deism, scale); belief in a life after death, in heaven, in hell, in religious miracles, in reincarnation, in Nirvana, and in supernatural powers of deceased ancestors; attitudes towards the Bible (or appropriate holy book); attitudes towards a higher truth and towards meaning of life (scale: God concerns himself with every human being personally, people can do little to change the course of their lives (fatalism), life is meaningful because God exists, life does not serve any purpose, life is only meaningful if someone provides the meaning himself); own way of connecting with God; we each make our own fate; turning point in life respondent made new commitment to religion; religion of mother, of father and of husband/ wife/ spouse; religion respondent was raised in; frequency of church attendance (of attendance in religious services) of father and mother when the respondent was a child; personal frequency of church attendance of respondent at the age of 11-12 years; frequency of prayers and participation in church activities; self-assessment as religious; self-assessment as a follower of a religion and/ or as a spiritual person; belief in lucky charms, fortune tellers, faith healers and horoscopes; respondent had a “born again” experience; picture of God (mother - father, master - spouse, judge - lover, friend - king); world image: much evil vs. much good, man is good vs. corrupt; trust in people or can’t be too careful; attitudes towards the benefits of science and religion (scale: modern science does more harm than good, too much trust in science than faith, religions bring more conflicts than peace, intolerance of people with very strong religious beliefs); attitude towards truth in religion (very little truth in any religion, basic truths in many religions or truth only in one religion); law conflicts with religious principles; accept person from different religion: Marrying a relative; attitude towards public meetings and publications on the internet or social media/books by religious extremists; shrine/ altar in respondent’s home; visit of holy place; religion helps people to make friends and to gain comfort; personal attitude towards Christians, Muslims, Hindu, Buddhist, Jews, Atheists or non-believers.

Demography: sex; age; marital status; steady life partner; education: years of schooling; highest education level; current employment status (respondent and partner); hours worked weekly; occupation (ISCO 1988) (respondent and partner); supervising function at work; trade union membership; household size; child in household; party affiliation (left-right); participation in last election; attendance of religious services; religious main groups (derived); Top Bottom self-placement; subjective social class; place of living urban – rural; household income groups (derived).

Additionally coded: ID number of respondent; unique cumulation respondent ID number; ISSP Module year; country; country sample; country sample year; weighting factor; administrative mode of data collection.

Abstract

The World Values Survey (WVS) is an international research program devoted to the scientific and academic study of social, political, economic, religious and cultural values of people in the world. The project’s goal is to assess which impact values stability or change over time has on the social, political and economic development of countries and societies. The project grew out of the European Values Study and was started in 1981 by its Founder and first President (1981-2013) Professor Ronald Inglehart from the University of Michigan (USA) and his team, and since then has been operating in more than 120 world societies. The main research instrument of the project is a representative comparative social survey which is conducted globally every 5 years. Extensive geographical and thematic scope, free availability of survey data and project findings for broad public turned the WVS into one of the most authoritative and widely-used cross-national surveys in the social sciences. At the moment, WVS is the largest non-commercial cross-national empirical time-series investigation of human beliefs and values ever executed.

The project’s overall aim is to analyze people’s values, beliefs and norms in a comparative cross-national and over-time perspective. To reach this aim, project covers a broad scope of topics from the field of Sociology, Political Science, International Relations, Economics, Public Health, Demography, Anthropology, Social Psychology and etc. In addition, WVS is the only academic study which covers the whole scope of global variations, from very poor to very rich societies in all world’s main cultural zones.

The WVS combines two institutional components. From one side, WVS is a scientific program and social research infrastructure that explores people’s values and beliefs. At the same time, WVS comprises an international network of social scientists and researchers from 120 world countries and societies. All national teams and individual researchers involved into the implementation of the WVS constitute the community of Principal Investigators (PIs). All PIs are members of the WVS.

The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. The WVS findings have proved to be valuable for policy makers seeking to build civil society and stable political institutions in developing countries. The WVS data is also frequently used by governments around the world, scholars, students, journalists and international organizations such as the World Bank, World Health Organization (WHO), United Nations Development Program (UNDP) and the United Nations Headquarters in New York (USA). The WVS data has been used in thousands of scholarly publications and the findings have been reported in leading media such as Time, Newsweek, The New York Times, The Economist, the World Development Report, the World Happiness Report and the UN Human Development Report.

The World Values Survey Association is governed by the Executive Committee, the Scientific Advisory Committee, and the General Assembly, under the terms of the Constitution.

Strategic goals for the 7th wave included:

Expansion of territorial coverage from 60 countries in WVS-6 to 80 in WVS-7; Deepening collaboration within the international development community; Deepening collaboration within NGOs, academic institutions and research foundations; Updating the WVS-7 questionnaire with new topics & items covering new social phenomena and emerging processes of value change; Expanding the 7th wave WVS with data useful for monitoring the SDGs; Expanding capacity and resources for survey fieldwork in developing countries. The 7th wave continued monitoring cultural values, attitudes and beliefs towards gender, family, and religion; attitudes and experience of poverty; education, health, and security; social tolerance and trust; attitudes towards multilateral institutions; cultural differences and similarities between regions and societies. In addition, the WVS-7 questionnaire has been elaborated with the inclusion of such new topics as the issues of justice, moral principles, corruption, accountability and risk, migration, national security and global governance.

For more information on the history of the WVSA, visit https://www.worldvaluessurvey.org/WVSContents.jsp ›Who we are › History of the WVSA.

Geographic coverage

Germany.

The WVS has just completed wave 7 data that comprises 64 surveys conducted in 2017-2022. With 64 countries and societies around the world and more than 80,000 respondents, this is the latest resource made available for the research community.

The WVS-7 survey was launched in January 2017 with Bolivia becoming the first country to conduct WVS-7. In the course of 2017 and 2018, WVS-7 has been conducted in the USA, Mexico, Brazil, Argentina, Chile, Ecuador, Peru, Andorra, Greece, Serbia, Romania, Turkey, Russia, Germany, Thailand, Australia, Malaysia, Indonesia, China, Pakistan, Egypt, Jordan, Nigeria, Iraq and over dozen of other world countries. Geographic coverage has also been expanded to several new countries included into the WVS for the first time, such as Bolivia, Greece, Macao SAR, Maldives, Myanmar, Nicaragua, and Tajikistan.

Analysis unit

Household, Individual

Sampling procedure

The sample type preferable for using in the World Values Survey is a full probability sample of the population aged 18 years and older. A detailed description of the sampling methodology is provided in the country specific sample design documentation available for download from WVS.

A detailed description of the sampling methodology is provided in the Germany 2018 sample design documentation available for download from WVS and also from the Downloads section of the metadata.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The survey was fielded in the following language(s): German. The questionnaire is available for download from the WVS website.

Abstract copyright UK Data Service and data collection copyright owner.

The European Values Study (EVS) and World Values Survey (WVS) series is designed to enable a cross-national, cross-cultural comparison of values and norms on a wide variety of topics and to monitor changes in values and attitudes across the globe. The WVS is one of the world's most extensive and most widely used social surveys. Since 1981, it has captured the views of almost 400,000 respondents in over 110 countries, covering topics including cultural identity, migration, trust, empathy, tolerance, media consumption, political interest, the environment and more.

These surveys show pervasive changes in what people want out of life and what they believe. To monitor these changes, the EVS/WVS has executed seven waves of surveys to date at various times between 1981 and 2022. Representative national samples of each society's public are interviewed using a standardised questionnaire covering various social, economic, cultural and religious topics. The countries included in these surveys cover the full range from very poor countries to very rich ones, from authoritarian systems to liberal democracies, covering all major cultural zones.

Further information about each survey series can be found on the EVS and WVS websites.

This study provides the most recent WVS data from the United Kingdom, conducted in 2022. The data includes boost samples for Northern Ireland (446), Scotland (523) and Wales (437), in addition to 1,650 respondents from England.

The data contains both the core WVS questionnaire, and a series of special questions only asked in the UK Special questions in the UK were asked on the following topics:

• National identity and the breakup of the union
• Happiness/disappointment with Brexit
• Feeling thermometers to political groups
• Covid-19 response
• Offense and getting ahead in life
• Moral Foundations Questionnaire 2 (MFQ2)

The WVS-7 questionnaire is structured along 14 thematic sub-sections, including demography, as following:

• social values, attitudes & stereotypes (45 items);

• societal well-being (11 items);

• social capital, trust and organizational membership (49 items);

• economic values (6 items);

• corruption (9 items);

• migration (10 items);

• post-materialist index (6 items);

• science & technology (6 items);

• religious values (12 items);

• security (21 items);

• ethical values & norms (23 items);

• political interest and political participation (36 items);

• political culture and political regimes (25 items);

• demography (31 items).

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden.

The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones.

The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

National.

Analysis unit

Household Individual

Universe

National Population, Both sexes,18 and more years.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 1205

Region - Governorate - Delegation - Imada - PSU - Household.

The sampling for the study will combine probability and quota sampling approach. That is the selection of PSUs, sectors/clusters, sector entry/starting point and household will be purely random. Selection of gender will be alternated between the two sexes in line with population split for the country. It is only at the point of final respondent selection that age quota will be applied.

All other demographic characteristics – education, employments etc -will be allowed to fall out naturally from the sample. The urbanization split is 70:30 in favour of the rural. Fieldwork will however be split 60:40 in favour of the urban to avoid under representation of the more diverse urban population. For more information on the sampling procedure refer to the Sampling Design document of the related materials.

Mode of data collection

Face-to-face [f2f]

Research instrument

For each wave, suggestions for questions are solicited by social scientists from all over the world and a final master questionnaire is developed in English. Since the start in 1981 each successive wave has covered a broader range of societies than the previous one. Analysis of the data from each wave has indicated that certain questions tapped interesting and important concepts while others were of little value. This has led to the more useful questions or themes being replicated in future waves while the less useful ones have been dropped making room for new questions.

The questionnaire is translated into the various national languages and in many cases independently translated back to English to check the accuracy of the translation. In most countries, the translated questionnaire is pre-tested to help identify questions for which the translation is problematic. In some cases certain problematic questions are omitted from the national questionnaire.

WVS requires implementation of the common questionnaire fully and faithfully, in all countries included into one wave. Any alteration to the original questionnaire has to be approved by the EC. Omission of no more than a maximum of 12 questions in any given country can be allowed.

Response rate

72.42%

Sampling error estimates

Estimated error: 2.9

Abstract

The potential impacts of the COVID-19 pandemic in Ethiopia are expected to be severe on Ethiopian households' welfare. To monitor these impacts on households, the team selected a subsample of households that had been interviewed for the Living Standards Measurement Study (LSMS) in 2019, covering urban and rural areas in all regions of Ethiopia. The 15-minute questionnaire covers a series of topics, such as knowledge of COVID and mitigation measures, access to routine healthcare as public health systems are increasingly under stress, access to educational activities during school closures, employment dynamics, household income and livelihood, income loss and coping strategies, and external assistance.

The survey is implemented using Computer Assisted Telephone Interviewing, using a modular approach, which allows for modules to be dropped and/or added in different waves of the survey. Survey data collection started at the end of April 2020 and households are called back every three to four weeks for a total of seven survey rounds to track the impact of the pandemic as it unfolds and inform government action. This provides data to the government and development partners in near real-time, supporting an evidence-based response to the crisis.

The sample of households was drawn from the sample of households interviewed in the 2018/2019 round of the Ethiopia Socioeconomic Survey (ESS). The extensive information collected in the ESS, less than one year prior to the pandemic, provides a rich set of background information on the COVID-19 High Frequency Phone Survey of households which can be leveraged to assess the differential impacts of the pandemic in the country.

Geographic coverage

National coverage - rural and urban

Analysis unit

Individual and household

Universe

The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of the HFPS-HH is a subsample of the 2018/19 Ethiopia Socioeconomic Survey (ESS). The ESS is built on a nationally and regionally representative sample of households in Ethiopia. ESS 2018/19 interviewed 6,770 households in urban and rural areas. In the ESS interview, households were asked to provide phone numbers either their own or that of a reference household (i.e. friends or neighbors) so that they can be contacted in the follow-up ESS surveys should they move from their sampled location. At least one valid phone number was obtained for 5,374 households (4,626 owning a phone and 995 with a reference phone number). These households established the sampling frame for the HFPS-HH.

To obtain representative strata at the national, urban, and rural level, the target sample size for the HFPS-HH is 3,300 households; 1,300 in rural and 2,000 households in urban areas. In rural areas, we attempt to call all phone numbers included in the ESS as only 1,413 households owned phones and another 771 households provided reference phone numbers. In urban areas, 3,213 households owned a phone and 224 households provided reference phone numbers. To account for non-response and attrition all the 5,374 households were called in round 1 of the HFPS-HH.

The total number of completed interviews in round one is 3,249 households (978 in rural areas, 2,271 in urban areas). The total number of completed interviews in round two is 3,107 households (940 in rural areas, 2,167 in urban areas). The total number of completed interviews in round three is 3,058 households (934 in rural areas, 2,124 in urban areas). The total number of completed interviews in round four is 2,878 households (838 in rural areas, 2,040 in urban areas). The total number of completed interviews in round five is 2,770 households (775 in rural areas, 1,995 in urban areas). The total number of completed interviews in round six is 2,704 households (760 in rural areas, 1,944 in urban areas). The total number of completed interviews in round seven is 2,537 households (716 in rural areas, 1,1821 in urban areas). The total number of completed interviews in round eight is 2,222 households (576 in rural areas, 1,646 in urban areas). The total number of completed interviews in round nine is 2,077 households (553 in rural areas, 1,524 in urban areas). The total number of completed interviews in round ten is 2,178 households (537 in rural areas, 1,641 in urban areas). The total number of completed interviews in round eleven is 1,982 households (442 in rural areas, 1,540 in urban areas). The total number of completed interviews in round twelve is 888 households (204 in rural areas, 684 in urban areas). The total number of completed interviews in round thirteen is 2,876 households (955 in rural areas, 1,921 in urban areas). The total number of completed interviews in round fourteen is 2,509 households (765 in rural areas, 1,744 in urban areas). The total number of completed interviews in round fifteen is 2,521 households (823 in rural areas, 1,698 in urban areas). The total number of completed interviews in round sixteen is 2,336 households. The total number of completed interviews in round seventeen is 2,357 households. The total number of completed interviews in round eighteen is 2,237 households (701 in rural areas, 1,536 in urban areas). The total number of completed interviews in round nineteen is 2,566 households (806 in rural areas, 1,760 in urban areas).

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The survey questionnaires were administered to all the households in the sample. The questionnaires consisted of the following sections:

Baseline (Round 1) - Household Identification - Interview Information - Household Roster - Knowledge Regarding the Spread of Coronavirus - Behavior and Social Distancing - Access to Basic Services - Employment - Income Loss and Coping - Food Security - Aid and Support/ Social Safety Nets

Round 2 - Household Identification - Household Roster - Access to Basic Services - Employment - Income Loss and Coping - Food Security - Aid and Support/ Social Safety Nets

Round 3 - Household Identification - Household Roster - Behavior and social distancing - Access to Basic Services - Employment - Income Loss and Coping - Food Security - Agriculture - Aid and Support/ Social Safety Nets

Round 4 - Household Identification - Household Roster - Access to Basic Services - Employment - Income Loss and Coping - Food Security - Agriculture - Aid and Support/ Social Safety Nets - Locusts - WASH

Round 5 - Household Identification - Household Roster - Access to Basic Services - Employment - Income Loss and Coping - Aid and Support/ Social Safety Nets - Agriculture - Livestock

Round 6 - Household Identification - Household Roster - Behavior and Social Distancing - Access to Basic Services - Employment - Income Loss and Coping - Aid and Support/ Social Safety Nets - Agriculture - Locusts

Round 7 - Household Identification - Household Roster - Behavior and Social Distancing - Access to Basic Services - Employment - Income Loss and Coping - Aid and Support/ Social Safety Nets - Agriculture - Locusts

Round 8 - Household Identification - Household Roster - Access to Basic Services - Employment - Education and Childcaring - Credit - Migration - Return Migration

Round 9 - Household Identification - Household Roster Update - Access to Basic Services - Employment - Aid and Support/ Social Safety Nets - Agriculture - WASH

Round 10 - Household Identification - Household Roster Update - Access to Basic Services - Employment

Round 11 - Household Identification - Household Roster Update - Access to Basic Services - Employment - Education and Childcaring - Food Insecurity Experience Scale - SWIFT

Round 12 - Household Identification - Household Roster Update - Youth Aspirations and Employment

Round 13 - Household Identification - Household Roster Update - Access to Health Services - Employment - Food Prices

Round 14 - Household Identification - Household Roster Update - Access to Health Services - COVID-19 Vaccine - Employment - Economic Sentiments - Food Prices - Agriculture

Round 15 - Household Identification - Household Roster Update - Access to Health Services - Economic Sentiments - Food Insecurity Experience Scale - Food Prices

Round 16 - Household Identification - Household Roster Update - Access to Health Services - Employment and Non-farm Enterprises - Food and Non-food prices - Shocks and Coping Strategies - Subjective Welfare

Round 17 - Household Identification - Household Roster Update - Access to Health Services for Individual Household Members (Sample A) - Access to Health Services for Households (Sample B) - Food and Non-food prices - Economic Sentiments
- Food Insecurity Experience Scale

Round 18 - Household Identification - Household Roster Update - Access to Health Services for Individual Household Members - Food and Non-food prices - Economic Sentiments (Sample B) - Food Insecurity Experience Scale (Sample A)

Round 19 - Household Identification - Household's Residential Location Verification - Household Roster Update - Food and Non-food Prices - Agriculture Crop - Agriculture Livestock

Cleaning operations

DATA CLEANING At the end of data collection, the raw dataset was cleaned by the Research team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes. The details are as follows.

Variable naming and labeling: • Variable names were changed to reflect the lowercase question name in the paper survey copy, and a word or two related to the question.

• Variables were labeled

The 2019 International Social Survey Programme (ISSP) studied economic inequality in Finland. The respondents' attitudes were surveyed on income disparity between social groups, occupations and societies as well as which actors in society should solve these disparities. In addition, the survey charted the respondents' socio-economic situation, Finnish taxation, and conflicts between social groups. The previous ISSP survey regarding inequality was collected in 2009. First, the respondents' opinions were charted concerning the importance of different factors for succeeding in life, such as parents' wealth, ambition, social networks, corruption, or gender. Additionally, views were canvassed on fairness of differences in wealth between rich and poor countries. The respondents were also asked to estimate what persons in different occupations earned (euros/month, gross) and what the respondents thought they ought to be paid. Next, the respondents were presented with a set of statements that they were asked to agree or disagree with on a 5-point Likert scale. The questions concerned, for example, whether income disparity was too great in Finland, who should intervene with income disparity, whether the policies of the government were justified and whether the current level of taxation was justified. The respondents also placed themselves on a 10-point scale according to whether they considered themselves to be at the top or the bottom in society - currently, in childhood home and ten years into the future. Their views were also enquired on which factors they deemed important in deciding one's level of pay. Views on the hierarchical structure of society were examined by showing the respondents five figures representing differently built societies and asking which of the figures corresponded most closely to the situation in the respondent's own country, and which figure corresponded most closely to an optimal situation. The respondents were also asked questions regarding their economic situation at the time of the survey. Background variables included, for instance, gender, year of birth, region of residence (NUTS2), occupation, educational background, religious affiliation, which party the respondent voted for in previous elections, number of children, income, marital status, and statistical grouping of municipalities (urban, semi-urban, rural). The survey also included questions concerning the respondent's spouse/partner and parents' occupations.

This Voice of the People poll seeks the opinions of Canadians, on predominantly economic, political, and social issues. The questions ask opinions about corruption, democracy, government, and world issues. There are also questions on topics such as the activities of the International Committee of the Red Cross (ICRC), familiarity with global institutions, immigration, foreign aid, trust in people, and bribery. There are also questions on other topics of interest such as volunteering, the role of the World Bank, the gap between the rich and the poor, crime, political ideology, and religiosity. The respondents were also asked questions so that they could be grouped according to geographic and social variables. Topics of interest include: corruption; global institutions; International Committee of the Red Cross (ICRC); politics; foreign aid; humanitarian aid; democracy; and trust. Basic demographic variables are also included.

Since 2007, the Institute of Culture, Discourse, and Communication (ICDC) at AUT University, has been conducting a long-term survey to track trends in Internet use, and to document the role and impact of the Internet in New Zealand society. The Internet has changed how business and trade deals are made; how schools and other academic institutions, councils, media, and advertisers operate. The Internet also impacts on family interaction, the ways in which people form new friendships, and the communities to which people belong.The World Internet Project New Zealand is an extensive research project that aims to provide important information about the social, cultural, political, and economic influence of the Internet and related digital technologies. As part of the World Internet Project International, a collaborative research effort, WIP NZ enables valid and rigorous comparison between New Zealand and 30 other countries around the world. Each partner country in WIP shares a set of 30 common questions.ICDC's longitudinal survey includes a cross-section of participants aged 12 and up, from across New Zealand. A quota ensures that people of Māori, Pasifika, and Asian descent, and the range of age groups, are not underrepresented. The survey investigates Internet access and targets Internet users as well as non-users; it looks at who uses this technology and what they do online. It also considers offline activities such as how much time is spent with friends and family. Other questions address issues such as the effects of the Internet on language use and cultural development; the role of the Internet in accessing information or purchasing products; and how the Internet affects the educational and social development of New Zealand children. In addition to studying the impact of the Internet, the survey tracks the effectiveness of strategies to address issues such as the digital divide between rich and poor, or urban and rural.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden.

The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones.

The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

National.

Analysis unit

Household Individual

Universe

National Population, both sexes,18 and more years.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 3401

The different stages in the sampling procedure were: - Self representative PSU´s (provinces) - Selected provinces (PPS selection with implied stratification according to income) - Districts within provinces - Urban and rural locations within districts (villages selected PPS within rural areas; neighbourhoods and streets selected within urban locations, households identified with systematic random selection, age and gender quotas used in the final selection of individuals).

The final numbers of clusters or sampling points were 22 PSU´s. The sampled unit we got from the office sampling was the address and the selection method that was used to identify a respondent was move on the next address until quota is filled. The quota control was 3 age groups and 2 gender groups were used as quotas. The stratification factors that was used: Per capita gdp. There were some limitations in the sample. It was a quota sample in the last stage as explained above. Overall, the design yields very satisfactory results.

Remarks about sampling: 3 age groups (18-27; 28-40; 41+) and 2 gender groups were used as quota controls. There were stratification factors per capita gdp. A known limitation of the realized sample: this was a quota sample in the last stage as explained. Overall, the design yields very satisfactory results

Mode of data collection

Face-to-face [f2f]

Research instrument

The WVS questionnaire was translated from the English questionnaire by a member of the research team. The translated questionnaire was not back-translated into English and also was pre-tested. There were some questions that caused problems when the questionnaire was translated especially questions assuming a church organisation were problematic. Also some of the irrelevant questions were omitted; some were asked nevertheless. There have not been any optional WVS questions and/or items been included, however country-specific questions were included. They were mostly included at the end of the questionnaire but some country specific additions were made to a confidence in institutions and b) neighbours questions. A number of questions were omitted because they sounded totally irrelevant for the local population or because previous surveys indicated that they did not work for this population. The sample was designed to be representative of the entire adult population, i.e. 18 years and older, of your country. The lower age cut-off for the sample was 18 and there was not any upper age cut-off for the sample.

Sampling error estimates

Estimated error: 1.7

Abstract

Nigeria was among the first few countries in Sub-Saharan Africa to identify cases of COVID-19. Reported cases and fatalities have been increasing since it was first identified. The government implemented strict measures to contain the spread of this virus (such as travel restrictions, school closures and home-based work). While the Government is implementing these containment measures, it is important to understand how households in the country are affected and responding to the evolving crises, so that policy responses can be designed well and targeted effectively to reduce the negative impacts on household welfare.

The objective of Nigeria COVID-19 NLPS is to monitor the socio-economic effects of this evolving COVID-19 pandemic in real time. These data will contribute to filling critical gaps in information that could be used by the Nigerian government and stakeholders to help design policies to mitigate the negative impacts on its population. The Nigeria COVID-19 NLPS is designed to accommodate the evolving nature of the crises, including revision of the questionnaire on a monthly basis.

The households were drawn from the sample of households interviewed in 2018/2019 for Wave 4 of the General Household Survey—Panel (GHS-Panel). The extensive information collected in the GHS-Panel just over a year prior to the pandemic provides a rich set of background information on the Nigeria COVID-19 NLPS households which can be leveraged to assess the differential impacts of the pandemic in the country.

Each month, the households will be asked a set of core questions on the key channels through which individuals and households are expected to be affected by the COVID-19-related restrictions. Food security, employment, access to basic services, coping strategies, and non-labour sources of income are channels likely to be impacted. The core questionnaire is complemented by questions on selected topics that rotate each month. This provides data to the government and development partners in near real-time, supporting an evidence-based response to the crisis.

Geographic coverage

National

Analysis unit

• Households
• Individuals

Universe

The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

Wave 4 of the GHS-Panel conducted in 2018/19 served as the frame for the Nigeria COVID-19 NLPS survey. The GHS-Panel sample includes 4,976 households that were interviewed in the post-harvest visit of the fourth wave in January/February 2019. This sample of households is representative nationally as well as across the 6 geopolitical Zones that divide up the country. In every visit of the GHS-Panel, phone numbers are collected from interviewed households for up to 4 household members and 2 reference persons who are in close contact with the household in order to assist in locating and interviewing households who may have moved in subsequent waves of the survey. This comprehensive set of phone numbers as well as the already well-established relationship between NBS and the GHS-Panel households made this an ideal frame from which to conduct the COVID-19 monitoring survey in Nigeria.

Among the 4,976 households interviewed in the post-harvest visit of the GHS-Panel in 2019, 4,934 (99.2%) provided at least one phone number. Around 90 percent of these households provided a phone number for at least one household member while the remaining 10 percent only provided a phone number for a reference person. Households with only the phone number of a reference person were expected to be more difficult to reach but were nonetheless included in the frame and deemed eligible for selection for the Nigeria COVID-19 NLPS.

To obtain a nationally representative sample for the Nigeria COVID-19 NLPS, a sample size of approximately 1,800 successfully interviewed households was targeted. However, to reach that target, a larger pool of households needed to be selected from the frame due to non-contact and non-response common for telephone surveys. Drawing from prior telephone surveys in Nigeria, a final contact plus response rate of 60% was assumed, implying that the required sample households to contact in order to reach the target is 3,000.

3,000 households were selected from the frame of 4,934 households with contact details. Given the large amount of auxiliary information available in the GHS-Panel for these households, a balanced sampling approach (using the cube method) was adopted. The balanced sampling approach enables selection of a random sample that still retains the properties of the frame across selected covariates. Balancing on these variables results in a reduction of the variance of the resulting estimates, assuming that the chosen covariates are correlated with the target variable. Calibration to the balancing variables after the data collection further reduces this variance (Tille, 2006). The sample was balanced across several important dimensions: state, sector (urban/rural), household size, per capita consumption expenditure, household head sex and education, and household ownership of a mobile phone.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

BASELINE (ROUND 1): One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; knowledge regarding the spread of COVID-19; behaviour and social distancing; access to basic services; employment; income loss; food security; concerns; coping/shocks; and social safety nets.

ROUND 2: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to basic goods and services; employment (including non-farm enterprise and agricultural activity); other income; food security; and social safety nets.

ROUND 3: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to basic goods and services; housing; employment (including non-farm enterprise and agricultural activity); other income; coping/shocks; and social safety nets.

ROUND 4: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to basic goods and services; credit; employment (including non-farm enterprise, crop farming and livestock); food security; income changes; concerns; and social safety nets.

ROUND 5: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; education; employment (including non-farm enterprise and agricultural activity); and other income.

ROUND 6: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; education; employment (including non-farm enterprise); COVID testing and vaccination; and other income.

ROUND 7: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to basic services; employment (including non-farm enterprise); food security; concerns; and safety nets.

ROUND 8: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; employment (including non-farm enterprise and agriculture); and coping/shocks.

ROUND 9: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; education; early childhood development, access to basic services, employment (including non-farm enterprise and agriculture); and income changes.

ROUND 10: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to basic services; employment (including non-farm enterprise and agricultural activity); concerns and COVID testing and vaccination.

ROUND 11: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; credit; access to basic services; education; employment (including non-farm enterprise); safety nets; youth contact details; and phone signal.

ROUND 12: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on youth aspirations and employment; and COVID vaccination.

Cleaning operations

COMUPTER ASSISTED TELEPHONE INTERVIEW (CATI): The Nigeria COVID-19 NLPS exercise was conducted using Computer Assisted Telephone Interview (CATI) techniques. The household questionnaire was implemented using the CATI software, Survey Solutions. The Survey Solutions software was developed and maintained by the Data Analytics and Tools Unit within the Development Economics Data Group (DECDG) at the World Bank. Each interviewer was given two tablets, which they used to conduct the interviews. Overall, implementation of survey using Survey Solutions CATI was highly successful, as it allowed for timely availability of the data from completed interviews.

DATA COMMUNICATION SYSTEM: The data communication

This project aimed to quantitatively understand citizens' attitudes to Emotional AI via national surveys (as described in point 6 "Project Description", see above). We developed a demographically representative survey to gauge citizen attitudes to emotion capture technologies in cities in the UK. The survey introduces the overall topic of emotion profiling with the phrase: ‘We would now like to ask your opinion on use of technologies that try to measure and understand emotions (e.g., through computer analysis of social media posts, facial expression, voice, heart rate, gesture, and other data about the body). Closed-ended questions allowed then to explore 10 different use cases (38 questions in total): security, policing, communications, political campaigning, health, transport, education, toys and robots. For each case, positive and negative themes were tested, by grounding each question in an applied use case. In total, nine themes were explored, (although not across all the use cases to minimise survey fatigue).

CONTEXT Emotional AI (EAI) technologies sense, learn and interact with citizens' emotions, moods, attention and intentions. Using weak and narrow rather than strong AI, machines read and react to emotion via text, images, voice, computer vision and biometric sensing. Concurrently, life in cities is increasingly technologically mediated. Data-driven sensors, actuators, robots and pervasive networking are changing how citizens experience cities, but not always for the better. Citizen needs and perspectives are often ancillary in emerging smart city deployments, resulting in mistrust in new civic infrastructure and its management (e.g. Alphabet's Sidewalk Labs).

We need to avoid these issues repeating as EAI is rolled out in cities. Reading the body is an increasingly prevalent concern, as recent pushback against facial detection and recognition technologies demonstrates. EAI is an extension of this, and as it becomes normalised across the next decade we are concerned about how these systems are governed, social impacts on citizens, and how EAI can be designed in a more ethical manner. In both Japan and UK, we are at a critical juncture where these social, technological and governance structures can be appropriately prepared before mass adoption of EAI, to enable citizens, in all their diversity, to live ethically and well with EAI in cities-as-platforms.

Building on our ESRC/AHRC seminars in Tokyo (2019) that considered cross-cultural ethics and EAI, our research will enable a multi-stakeholder (commerce, security, media) and citizen-led interdisciplinary response to EAI for Japan and UK. While these are two of the most advanced nations in regard to AI, the social contexts and histories from which these technologies emerge differ, providing rich scope for reflection and mutual learning.

AIMS/OBJECTIVES 1. To assess what it means to live ethically and well with EAI in cities in cross-cultural (UK-Japan) commercial, security and media contexts. 2. To map and engage with the ecology of influential actors developing and working with EAI in UK-Japan. 3. To understand commercial activities, intentions and ethical implications regarding EAI in cities, via interviews with industry, case studies, and analysis of patents. 4. To ascertain how EAI might impact security/policing stakeholders, and organisations in the new media ecology, via interviews with these stakeholders and case studies in UK-Japan. 5. To examine governance approaches for collection and use of intimate data about emotions in public spaces to understand how these guide EAI technological developments, and to build a repository of best practice on EAI in cities. 6. To understand diverse citizens' attitudes to EAI via quantitative national surveys and qualitative workshops to co-design citizen-led, creative visions of what it means to live ethically and well with EAI in cities in UK-Japan. 8. To feed our insights to stakeholders shaping usage of EAI in cities in UK-Japan. 9. To advance surveillance studies, new media studies, information technology law, science & technology studies, security & policing studies, computer ethics and affective computing via: 24 international conference papers; a conference on EAI; 12 international, refereed journal papers; a Special Issue on EAI.

APPLICATIONS/BENEFITS We will: - Raise awareness of UK-Japanese stakeholders (technology industry, policymakers, NGOs, security services, urban planners, media outlets, citizens) on how to live ethically and well with EAI in cities, via co-designed, citizen-led, qualitative visions fed into Stakeholder Policy Workshops; a Final Report with clear criteria on ethical usage of EAI in cites; 24 talks with stakeholders; multiple news stories. - Set up a think tank to provide impartial ethical advice on EAI and cross-cultural issues to diverse stakeholders during and after the project. - Advance collaboration between UK-Japan academics, disciplines and...

This is a collection of data on International and National Distance Education students studying at UNISA, South Africa. The data includes quantitative survey undertaken with 1,295 students; and interviews with 159 students. The survey is adapted from the School and College Questionnaire to include questions about migration intentions and social media use. The interviews explored themes around migration experiences, adaptation and adjustment to study and choice, challenges and constraints of social media use.Presently, the gross enrolment rate for higher education (HE) across Africa runs at only 8 per cent - the lowest in the world. Yet for policy makers throughout the continent, HE is regarded as a vital tool to bring about sustainable economic development. This is echoed by the United Nations' Sustainable Development Goals, adopted in September 2015, which call for equitable access to high quality tertiary education in their toolkit for ending poverty by 2030. This push for an educated population abuts a reality where, in many African countries, HE demand far outstrips supply and is only addressed by the wealthy through migration. Distance education across national borders is filling that gap. Indeed, one third of student registrations in South Africa, a country where higher education is well established, are made up from this international distance education (IDE) cohort. Despite its importance to the African HE landscape, and its potential contribution to continent-wide development challenges, the workings of IDE remain under-researched. Thus, this project fills a significant and timely gap in knowledge which will generate learning of substantial relevance to social and economic development throughout Africa in the decade to come. This project focuses on two areas vital to the future success of IDE in Africa: equality of access to education, and the quality of that education. Research on IDE in other settings demonstrates that this learning style can improve access for students facing demographic and social disadvantages (including gender, race, and disability, as well as learners studying later in life or learners with caring responsibilities). This project will investigate these issues in the African setting, asking "can IDE can generate equitable access to students from across the continent?" Educational quality is important too. Of the South African student cohort in the year 2000, only 30 per cent graduated within five years with attainment levels. Other research also shows that student retention is markedly lower in students from non-traditional backgrounds. The project will investigate the role of education quality plays here, asking "how can the quality of IDE be assessed, and what improvements can be made to create better student outcomes?" The project will examine IDE delivered by the University of South Africa (the sole provider of DE in South Africa until 2014) to students elsewhere in the continent. Research will collect demographic and socio-economic data, reasons for study, labour market intentions, migration plans and educational experience of student cohorts in three countries, Zimbabwe, Lesotho and Nigeria using both qualitative and quantitative methods. This will be compared with South African students and with students studying face-to-face where this data exists. The project will also build on the OU's Learning Design Initiative (OULDI). Using techniques from this innovative programme, existing student performance and reasons for it will be analysed, changes will be made to learning design, and the effects of the design changes will be tested on the following year's cohort. This knowledge exchange will enable the existing and successful OULDI strategy to be employed in another context, and enhance the future development of the OULDI. Central to the success of this project is a team of researchers from top DE institutions in the UK and South Africa. The two universities are continental leaders in learning pedagogies and have established links with key players in the field of IDE and the project's findings will inform teaching approaches at both institutions. The project will be led by Dr Gunter and Prof Raghuram who have a successful track record of collaborative research on South African international HE, with a strong team of co-investigators from each country. The project is informed by postcolonial theory and politics and aims to experiment with two way learning on IDE globally. The research employed a mixed methodology: an extensive online questionnaire survey with undergraduate UNISA students followed by in-depth individual online interviews. This mixed methodology allows the development of a deep, yet broad-based understanding, potentially producing balanced, rich and meaningful research data. The online questionnaire survey was collected from undergraduate students studying across faculties and related to their overall university experiences. It was based upon prior research on international students and academic adjustment, in particular Rienties et al. 2012). A total of 1295 students responded, representing a 16% response rate, which is considered healthy for online surveys and for UNISA specifically. As part of this survey, questions relating to social media use, access to technology, migration experiences, and demographics were asked. The questionnaire was followed up by 122 one-to-one online follow-up interviews which delved deeper into the experiences and perceptions of different UNISA students. IDE students from Zimbabwe and Namibia, two of the most significant locations of UNISA IDE students, were interviewed. The interviews lasted between 30 and 90 minutes and were conducted via Skype to Skype (audio only) or Skype to phone. These Skype interviews facilitated ‘access to global research participants’ , which along with rise in use of mobile phones, increases the accessibility to research participants, especially in Africa.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden.

The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones.

The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

National

Analysis unit

Household Individual

Universe

National Population, Both sexes,18 and more years excluding people in hospitals, prisons and living outside the household for a period longer than 6 months.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 1000

Mode of data collection

Face-to-face [f2f]

Research instrument

For each wave, suggestions for questions are solicited by social scientists from all over the world and a final master questionnaire is developed in English. Since the start in 1981 each successive wave has covered a broader range of societies than the previous one. Analysis of the data from each wave has indicated that certain questions tapped interesting and important concepts while others were of little value. This has led to the more useful questions or themes being replicated in future waves while the less useful ones have been dropped making room for new questions.

The questionnaire is translated into the various national languages and in many cases independently translated back to English to check the accuracy of the translation. In most countries, the translated questionnaire is pre-tested to help identify questions for which the translation is problematic. In some cases certain problematic questions are omitted from the national questionnaire.

WVS requires implementation of the common questionnaire fully and faithfully, in all countries included into one wave. Any alteration to the original questionnaire has to be approved by the EC. Omission of no more than a maximum of 12 questions in any given country can be allowed.

Sampling error estimates

Estimated error: 3.2

This study is part of a survey series that charts various issues characterising social differentiation in contemporary Russian society. The surveys in the series have been conducted in 1990, 1998, 2006 and 2015, facilitating research on temporal change. Social differentiation in this study was mainly considered in terms of occupation, social mobility, property and income, but attitudes, politics and religion were also examined. The study aimed to survey the respondents' conditions in life together with their values in order to examine the interaction between the two. Many questions in the survey concerned the respondents' working life. Questions focused on, for example, which sector the respondents worked in, what kind of company they worked for, what kind of responsibilities and obligations the respondents had in their work, whether the respondents were in a decision-making position at work, and what kind of equipment they used regularly in their work. Additionally, the respondents were asked whether they had been unemployed, laid off or part-time employed in the past 12 months and if yes, how they had managed economically at the time (e.g. whether they received benefits from the employer or state or support from family or friends). The survey also included questions on the respondents' family, media use, owned property, political and social activity, and language competence. The most important sources of income for the respondents' family as well as the benefits they received from the state or from employers were examined. The newspapers and magazines the respondents read most frequently were charted, and the respondents were asked whether they owned various property and items, such as their own house or car, a washing machine, pager/mobile phone, and computer. The respondents' political activity was charted with questions on, for example, whether they had signed a petition or taken part in a strike in 2005 or 2006. Questions on social participation focused on whether the respondents took part in the activities of or formally belonged to, for example, religious, ecological or youth organisations. Finally, the respondents were asked about their sources of information for various matters, such as the Russian economy, regional political life, events in the world, and cultural events. Opinions on censorship were examined (e.g. whether they thought that criticism of the President or information on sexual minorities should be banned, limited or allowed free circulation in the media). The respondents' trust in various institutions (e.g. the President, Government, Russian army, and Russian orthodox church) and opinions on the significance of different conditions in providing advancement in society were surveyed. The respondents were asked to evaluate the importance of, for example, coming from a rich family, good education, hard work, contacts abroad, and luck both as it was eight years ago (1998) and at the time of the survey. Some questions also focused on the respondents' views on their own identity and the characteristics of a good citizen. Background variables included, among others, the respondent's employment history, status in employment, working hours, education, marital status, number of children, household size, income, owned household durable goods, religious affiliation, nationality, gender, age, and type of municipality of residence.

This data collection consists of 18 interview transcripts meant to explore the rationales and methods by which investors in Hong Kong buy properties in the UK. The life and impact of the residential choices of the 'super rich' has been a major strand in research by the research team. This work advanced the proposition that the upper-tier of income groups living in cities tend to exploit particular forms of service provision (such as education, cultural life and personal services), are largely distanced from the mundane flow of social life in urban areas and tend to be withdrawn from the civic life of cities more generally. Some of this work is underpinned by the literature on, for example, gated communities, but it has surprisingly been under-used as the guiding framework for close empirical work in affluent neighbourhoods, perhaps largely as a result of the perceived difficulty of working with such individuals. This project will allow us to generate insights into how super-rich neighbourhoods operate, how people come to live there and the social and economic tensions and trade-offs that exist as such processes are allowed to run. As many people question the role and value of wealth and identify inequality as a growing social problem this research will feed into public conversations and policymaker concerns about how socially vital cities can be maintained when capital investment may undermine such objectives on one level (the creation of neighbourhoods that are both exclusive and often 'abandoned' for large parts of the year), while potentially fulfilling broader ambitions at others (over tax receipts for example).

Social research has tended not to focus on the super-rich, largely because they are hard to locate, and even harder to collaborate with in research. In this project we seek to address these concerns by focusing extensive research effort on the question of where and how the super-rich live and invest in the property markets of the cities of Hong Kong and London. We see these cities as exemplary in assisting in the construction of further insights and knowledge in how the super-rich seek residential investment opportunities, how they live there when they are 'at home' in such residences and how these patterns of investment shape the social, political and economic life of these cities more broadly. Given that the super-rich make such decisions on the basis of tax incentives and the attraction of major cultural infrastructure (such as galleries and theatre) we have proposed a program of research capable of offering an inside account of the practices that go to make-up these investment patterns including processes of searching for suitable property, its financing, the kinds of property deemed to be suitable and an analysis of how estate agents and city authorities seek to capitalise and retain the potentially highly mobile investment by the super-rich.

In economic terms the life and functioning of rich neighbourhood spaces appears intuitively important. For example, attractive and safe spaces for captains of industry, senior figures in political and non-government organizations are often regarded as major markers of urban vitality and the foundation of social networks that may make-up the broader glue of civic and political society. Yet we know very little about how such neighbourhoods operate, who they attract and how they are linked to other cities and their neighbourhoods globally. Our aim in this research is to grapple with what might be described as the 'problem' of these super-rich neighbourhoods - sometime called the 'alpha territory' - and undertake research that will help us to understand more about the advantages and disadvantages of these kinds of property investment.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden.

The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones.

The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

Argentina, Belarus, Brazil, Chile, China, Czech Republic, India, Japan, Mexico, Nigeria, Poland, Slovakia, South Africa, South Korea, Spain, Switzerland, Russia, Turkey

Analysis unit

Household Individual

Universe

WVS surveys are required to cover all residents (not only citizens) between the ages of 18 and 85, inclusive. PI's can lower the minimum age limit as long as the minimum required sample size for the 18+ population (N=1200) is achieved.

Kind of data

Sample survey data [ssd]

Sampling procedure

Wave 2 covers 18 countries and societies around the world and 24,558 respondents.

The minimum sample size - i.e. the number of completed interviews which are included into the national data-set in the most of countries is 1200. Samples must be representative of all people in the age 18 and older residing within private households in each country, regardless of their nationality, citizenship or language. Whether the sampling method is full probability or a combination of probability and stratified, the national team should aim at obtaining as many Primary Sampling Units (starting points in case of random route sampling) in the sample as possible. It is highly recommended that a number of respondents per a PSU (or a route in case of random route sample) is not exceeding 10 respondents. It is possible to have several Primary Sampling Units per one settlement; they should be located in quite a good distance from each other. WVSA requires a complete explanation of proposed sampling procedures before the beginning of the survey fieldwork.

Mode of data collection

Face-to-face [f2f]

Research instrument

For each wave, suggestions for questions are solicited by social scientists from all over the world and a final master questionnaire is developed in English. Since the start in 1981 each successive wave has covered a broader range of societies than the previous one. Analysis of the data from each wave has indicated that certain questions tapped interesting and important concepts while others were of little value. This has led to the more useful questions or themes being replicated in future waves while the less useful ones have been dropped making room for new questions.

The questionnaire is translated into the various national languages and in many cases independently translated back to English to check the accuracy of the translation. In most countries, the translated questionnaire is pre-tested to help identify questions for which the translation is problematic. In some cases certain problematic questions are omitted from the national questionnaire.

WVS requires implementation of the common questionnaire fully and faithfully, in all countries included into one wave. Any alteration to the original questionnaire has to be approved by the EC. Omission of no more than a maximum of 12 questions in any given country can be allowed.