Humans Adapt to Social Diversity Over Time
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This Project Has Received Funding from the European Union's Horizon
Deliverable Number: D6.6 Deliverable Title: Report on legal and ethical framework and strategies related to access, use, re-use, dissemination and preservation of administrative data Work Package: 6: New forms of data: legal, ethical and quality matters Deliverable type: Report Dissemination status: Public Submitted by: NIDI Authors: George Groenewold, Susana Cabaco, Linn-Merethe Rød, Tom Emery Date submitted: 23/08/19 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654221. www.seriss.eu @SERISS_EU SERISS (Synergies for Europe’s Research Infrastructures in the Social Sciences) aims to exploit synergies, foster collaboration and develop shared standards between Europe’s social science infrastructures in order to better equip these infrastructures to play a major role in addressing Europe’s grand societal challenges and ensure that European policymaking is built on a solid base of the highest-quality socio-economic evidence. The four year project (2015-19) is a collaboration between the three leading European Research Infrastructures in the social sciences – the European Social Survey (ESS ERIC), the Survey for Health Aging and Retirement in Europe (SHARE ERIC) and the Consortium of European Social Science Data Archives (CESSDA AS) – and organisations representing the Generations and Gender Programme (GGP), European Values Study (EVS) and the WageIndicator Survey. Work focuses on three key areas: Addressing key challenges for cross-national data collection, breaking down barriers between social science infrastructures and embracing the future of the social sciences. Please cite this deliverable as: Groenewold, G., Cabaco, S., Rød, L.M., Emery, T., (2019) Report on legal and ethical framework and strategies related to access, use, re-use, dissemination and preservation of administrative data. -
European Attitudes to Climate Change and Energy: Topline Results from Round 8 of the European Social Survey
European Attitudes to Climate Change and Energy: Topline Results from Round 8 of the European Social Survey ESS Topline Issue Results Series9 2 European Attitudes to Climate Change and Energy This latest issue in our Topline Results we hope that this latest data will influence series examines public attitudes academic, public and policy debate in this towards climate change and energy for area. the first time in the ESS. The module We include two different topics in was selected for inclusion due to its each round of the survey to expand the academic excellence as well as the relevance of our data into new areas increasing relevance of this issue. For and to allow repetition if the case can be example the Paris Agreement made made to examine the same area again. by 195 United Nations Framework Everyone at the ESS is delighted with the Convention on Climate Change work of the Questionnaire Design Team (UNFCCC) countries in 2016 who led on the design of this module, underlines the salience of the topic. and who have written this excellent With many parts of Europe and the publication. world recording rising temperatures and Rory Fitzgerald experiencing more extreme weather, ESS ERIC Director the subject is a key grand challenge. City, University of London By assessing public opinion on climate change and the related issue of energy The authors of this issue: • Wouter Poortinga, Professor of Environmental Psychology, Cardiff University • Stephen Fisher, Associate Professor in Political Sociology, Trinity College, University of Oxford • Gisela -
Assessment of Socio-Demographic Sample Composition in ESS Round 61
Assessment of socio-demographic sample composition in ESS Round 61 Achim Koch GESIS – Leibniz Institute for the Social Sciences, Mannheim/Germany, June 2016 Contents 1. Introduction 2 2. Assessing socio-demographic sample composition with external benchmark data 3 3. The European Union Labour Force Survey 3 4. Data and variables 6 5. Description of ESS-LFS differences 8 6. A summary measure of ESS-LFS differences 17 7. Comparison of results for ESS 6 with results for ESS 5 19 8. Correlates of ESS-LFS differences 23 9. Summary and conclusions 27 References 1 The CST of the ESS requests that the following citation for this document should be used: Koch, A. (2016). Assessment of socio-demographic sample composition in ESS Round 6. Mannheim: European Social Survey, GESIS. 1. Introduction The European Social Survey (ESS) is an academically driven cross-national survey that has been conducted every two years across Europe since 2002. The ESS aims to produce high- quality data on social structure, attitudes, values and behaviour patterns in Europe. Much emphasis is placed on the standardisation of survey methods and procedures across countries and over time. Each country implementing the ESS has to follow detailed requirements that are laid down in the “Specifications for participating countries”. These standards cover the whole survey life cycle. They refer to sampling, questionnaire translation, data collection and data preparation and delivery. As regards sampling, for instance, the ESS requires that only strict probability samples should be used; quota sampling and substitution are not allowed. Each country is required to achieve an effective sample size of 1,500 completed interviews, taking into account potential design effects due to the clustering of the sample and/or the variation in inclusion probabilities. -
Support for Redistribution in an Age of Rising Inequality: New Stylized Facts and Some Tentative Explanations
VIVEKINAN ASHOK Yale University ILYANA KUZIEMKO Princeton University EBONYA WASHINGTON Yale University Support for Redistribution in an Age of Rising Inequality: New Stylized Facts and Some Tentative Explanations ABSTRACT Despite the large increases in economic inequality since 1970, American survey respondents exhibit no increase in support for redistribution, contrary to the predictions from standard theories of redistributive preferences. We replicate these results but further demonstrate substantial heterogeneity by demographic group. In particular, the two groups that have most moved against income redistribution are the elderly and African Americans. We find little evidence that these subgroup trends are explained by relative economic gains or growing cultural conservatism, two common explanations. We further show that the trend among the elderly is uniquely American, at least relative to other developed countries with comparable survey data. While we are unable to provide definitive evidence on the cause of these two groups’ declining redistributive support, we provide additional correlations that may offer fruitful directions for future research on the topic. One story consistent with the data on elderly trends is that older Americans worry that redistribution will come at their expense, in particular through cuts to Medicare. We find that the elderly have grown increasingly opposed to government provision of health insurance and that controlling for this tendency explains about 40 percent of their declin- ing support for redistribution. -
The World Values Survey in the New Independent States C
THE WORLD’S LARGEST SOCIAL SCIENCE INFRASTRUCTURE AND ACADEMIC SURVEY RESEARCH PROGRAM: THE WORLD VALUES SURVEY IN THE NEW INDEPENDENT STATES C. Haerpfer1, K. Kizilova2* 1University of Vienna, Austria 2V.N. Karazin Kharkiv National University, Kharkiv, Ukraine The World Values Survey (WVS) is an international research program developed to assess the im- pact of values stability or change over time on the social, political and economic development of countries and societies. It started in 1981 by Ronald Inglehart and his team, since then has involved more than 100 world societies and turned into the largest non-commercial cross-national empirical time-series inves- tigation of human beliefs and values ever executed on a global scale. The article consists of a few sections differing by the focus. The authors begin with the description of survey methodology and organization management that both ensure cross-national and cross-regional comparative character of the study (the survey is implemented using the same questionnaire, a face-to-face mode of interviews, and the same sample type in every country). The next part of the article presents a short overview of the project history and comparative surveys’ time-series (so called “waves” — periods between two and four years long during which collection of data in several dozens of countries using one same questionnaire is taking place; such waves are conducted every five years). Here the authors describe every wave of the WVS mentioning coordination and management activities that were determined by the extension of the project thematically and geographically. After that the authors identify the key features of the WVS in the New Independent States and mention some of the results of the study conducted in NIS countries in 1990—2014, such as high level of uncertainty in the choice of ideological preferences; rapid growth of declared religiosity; ob- served gap between the declared values and actual facts of social life, etc. -
Exploratory Factor Analysis with the World Values Survey Diana Suhr, Ph.D
Exploratory Factor Analysis with the World Values Survey Diana Suhr, Ph.D. University of Northern Colorado Abstract Exploratory factor analysis (EFA) investigates the possible underlying factor structure (dimensions) of a set of interrelated variables without imposing a preconceived structure on the outcome (Child, 1990). The World Values Survey (WVS) measures changes in what people want out of life and what they believe. WVS helps a worldwide network of social scientists study changing values and their impact on social and political life. This presentation will explore dimensions of selected WVS items using exploratory factor analysis techniques with SAS® PROC FACTOR. EFA guidelines and SAS code will be illustrated as well as a discussion of results. Introduction Exploratory factor analysis investigates the possible underlying structure of a set of interrelated variables. This paper discusses goals, assumptions and limitations as well as factor extraction methods, criteria to determine factor structure, and SAS code. Examples of EFA are shown using data collected from the World Values Survey. The World Values Survey (WVS) has collected data from over 57 countries since 1990. Data has been collected every 5 years from 1990 to 2010 with each data collection known as a wave. Selected items from the 2005 wave will be examined to investigate the factor structure (dimensions) of values that could impact social and political life across countries. The factor structure will be determined for the total group of participants. Then comparisons of the factor structure will be made between gender and between age groups. Limitations Survey questions were changed from wave to wave. Therefore determining the factor structure for common questions across waves and comparisons between waves was not possible. -
The Evidence from World Values Survey Data
Munich Personal RePEc Archive The return of religious Antisemitism? The evidence from World Values Survey data Tausch, Arno Innsbruck University and Corvinus University 17 November 2018 Online at https://mpra.ub.uni-muenchen.de/90093/ MPRA Paper No. 90093, posted 18 Nov 2018 03:28 UTC The return of religious Antisemitism? The evidence from World Values Survey data Arno Tausch Abstract 1) Background: This paper addresses the return of religious Antisemitism by a multivariate analysis of global opinion data from 28 countries. 2) Methods: For the lack of any available alternative we used the World Values Survey (WVS) Antisemitism study item: rejection of Jewish neighbors. It is closely correlated with the recent ADL-100 Index of Antisemitism for more than 100 countries. To test the combined effects of religion and background variables like gender, age, education, income and life satisfaction on Antisemitism, we applied the full range of multivariate analysis including promax factor analysis and multiple OLS regression. 3) Results: Although religion as such still seems to be connected with the phenomenon of Antisemitism, intervening variables such as restrictive attitudes on gender and the religion-state relationship play an important role. Western Evangelical and Oriental Christianity, Islam, Hinduism and Buddhism are performing badly on this account, and there is also a clear global North-South divide for these phenomena. 4) Conclusions: Challenging patriarchic gender ideologies and fundamentalist conceptions of the relationship between religion and state, which are important drivers of Antisemitism, will be an important task in the future. Multiculturalism must be aware of prejudice, patriarchy and religious fundamentalism in the global South. -
Round 9 ESS Sampling Guidelines
European Social Survey Round 9 Sampling Guidelines: Principles and Implementation The ESS Sampling and Weighting Expert Panel, 26 January 2018 Contents Page Summary 2 1. The ESS Sample Design Process 3 1.1 Objectives 2 1.2 The Sample Design Process 2 1.3 The Sample Design Summary 4 2. Principles for Sampling in the ESS 5 2.1 Population Coverage 5 2.2 Probability Sampling 6 2.3 Statistical Precision 6 3. Tips for Good Sample Design 9 3.1 Sampling Frames 9 3.2 Multi-Stage Sampling 12 3.3 Stratification 13 3.4 Predicting deff p 14 3.5 Predicting deff c 17 4. Calculating the Required Sample Size 19 Annex: Sample Design Summary 20 Summary The document sets out the principles of ESS sampling and provides guidance on how to produce an effective design that is consistent with these principles. It also explains the procedure required to approve a sampling design to be used in the ESS. The document has been produced by the ESS Sampling and Weighting Expert Panel (SWEP), a group of experts appointed by the ESS Director to evaluate and help implement the sampling design in each of the ESS countries in close cooperation with National Coordinators (NCs). A core objective of the SWEP is to support NCs in implementing sample designs of the highest possible quality, and consistent with the ESS sampling principles. Changes to this Document These guidelines have been substantially restructured and rewritten since Round 8. The main changes are: • The inclusion of explicit tips on how best to handle key aspects of sample design (section 3), including a summary box of “key tips” at the end of each sub-section; • Worked examples of key calculations (deff p, deff c and gross sample size); • Separation of principles (section 2), sample design considerations (section 3), and a description of the process of developing a design and getting it approved (section 1); • Minor revisions to the “Sign-off Form”, which has been renamed the “Sample Design Summary” (Annex). -
Ess4 - 2008 Documentation Report
ESS4 - 2008 DOCUMENTATION REPORT THE ESS DATA ARCHIVE Edition 5.5 Version Notes, ESS4 - 2008 Documentation Report ESS4 edition 5.5 (published 01.12.18): Applies to datafile ESS4 edition 4.5. Changes from edition 5.4: Czechia: Country name changed from Czech Republic to Czechia in accordance with change in ISO 3166 standard. 25 Version notes. Information updated for ESS4 ed. 4.5 data. 26 Completeness of collection stored. Information updated for ESS4 ed. 4.5 data. Israel: 46 Deviations amended. Deviation in F1-F4 (HHMMB, GNDR-GNDRN, YRBRN-YRBRNN, RSHIP2-RSHIPN) added. Appendix: Appendix A3 Variables and Questions and Appendix A4 Variable lists have been replaced with Appendix A3 Codebook. ESS4 edition 5.4 (published 01.12.16): Applies to datafile ESS4 edition 4.4. Changes from edition 5.3: 25 Version notes. Information updated for ESS4 ed.4.4 data. 26 Completeness of collection stored. Information updated for ESS4 ed.4.4 data. Slovenia: 46 Deviations. Amended. Deviation in B15 (WRKORG) added. Appendix: A2 Classifications and Coding standards amended for EISCED. A3 Variables and Questions amended for EISCED, WRKORG. Documents: Education Upgrade ESS1-4 amended for EISCED. ESS4 edition 5.3 (published 26.11.14): Applies to datafile ESS4 edition 4.3 Changes from edition 5.2: All links to the ESS Website have been updated. 21 Weighting: Information regarding post-stratification weights updated. 25 Version notes: Information updated for ESS4 ed.4.3 data. 26 Completeness of collection stored. Information updated for ESS4 ed.4.3 data. Lithuania: ESS4 - 2008 Documentation Report Edition 5.5 2 46 Deviations. -
Evidence from the Gallup World Poll
Journal of Economic Perspectives—Volume 22, Number 2—Spring 2008—Pages 53–72 Income, Health, and Well-Being around the World: Evidence from the Gallup World Poll Angus Deaton he great promise of surveys in which people report their own level of life satisfaction is that such surveys might provide a straightforward and easily T collected measure of individual or national well-being that aggregates over the various components of well-being, such as economic status, health, family circumstances, and even human and political rights. Layard (2005) argues force- fully such measures do indeed achieve this end, providing measures of individual and aggregate happiness that should be the only gauges used to evaluate policy and progress. Such a position is in sharp contrast to the more widely accepted view, associated with Sen (1999), which is that human well-being depends on a range of functions and capabilities that enable people to lead a good life, each of which needs to be directly and objectively measured and which cannot, in general, be aggregated into a single summary measure. Which of life’s circumstances are important for life satisfaction, and which—if any—have permanent as opposed to merely transitory effects, has been the subject of lively debate. For economists, who usually assume that higher incomes represent a gain to the satisfaction of individuals, the role of income is of particular interest. It is often argued that income is both relatively unimportant and relatively transi- tory compared with family circumstances, unemployment, or health (for example, Easterlin, 2003). Comparing results from a given country over time, Easterlin (1974, 1995) famously noted that average national happiness does not increase over long spans of time, in spite of large increases in per capita income. -
World Values Surveys and European Values Surveys, 1999-2001 User Guide and Codebook
ICPSR 3975 World Values Surveys and European Values Surveys, 1999-2001 User Guide and Codebook Ronald Inglehart et al. University of Michigan Institute for Social Research First ICPSR Version May 2004 Inter-university Consortium for Political and Social Research P.O. Box 1248 Ann Arbor, Michigan 48106 www.icpsr.umich.edu Terms of Use Bibliographic Citation: Publications based on ICPSR data collections should acknowledge those sources by means of bibliographic citations. To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this data collection is: Inglehart, Ronald, et al. WORLD VALUES SURVEYS AND EUROPEAN VALUES SURVEYS, 1999-2001 [Computer file]. ICPSR version. Ann Arbor, MI: Institute for Social Research [producer], 2002. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2004. Request for Information on To provide funding agencies with essential information about use of Use of ICPSR Resources: archival resources and to facilitate the exchange of information about ICPSR participants' research activities, users of ICPSR data are requested to send to ICPSR bibliographic citations for each completed manuscript or thesis abstract. Visit the ICPSR Web site for more information on submitting citations. Data Disclaimer: The original collector of the data, ICPSR, and the relevant funding agency bear no responsibility for uses of this collection or for interpretations or inferences based upon such uses. Responsible Use In preparing data for public release, ICPSR performs a number of Statement: procedures to ensure that the identity of research subjects cannot be disclosed. -
ESS4 Sampling Guidelines
Sampling for the European Social Survey – Round 4: Principles and requirements Guide Final Version The Sampling Expert Panel of the ESS February 2008 Summary: The objective of work package 3 is the“design and imple- mentation of workable and equivalent sampling strategies in all par- ticipating countries”. This concept stands for probability samples with estimates of comparable precision. From the statistical point of view, full coverage of the population, non-response reduction, and consid- eration of design effects are prerequisites for the comparability of un- biased or at least minimum biased estimates. In the following we shortly want to • describe the theoretical background for these requirements, • show some examples, how the requirements can be kept in the practices of the individual countries and • explain, which information the sampling expert panel needs from the National Co-ordinators to evaluate their proposed sampling schemes. 1 Basic principles for sampling in cross-cultural surveys Kish (1994, p.173) provides the starting point of the sampling ex- pert panel’s work: “Sample designs may be chosen flexibly and there is no need for similarity of sample designs. Flexibility of choice is particularly advisable for multinational comparisons, be- cause the sampling resources differ greatly between countries. All this flexibility assumes probability selection methods: known prob- abilities of selection for all population elements.” Following this statement, an optimal sample design for cross-cultural surveys should consist of the best random practice used in each partic- ipating country. The choice of specific design depends on the availability of frames, experience, and of course also the costs in the different countries.