The European Social Survey Round 9 Question Module Design Teams (QDT) Stage 2 Application
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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. -
A Lifecourse Approach to Health Development: Implications for the Maternal and Child Health Research Agenda
Matern Child Health J (2014) 18:497–510 DOI 10.1007/s10995-013-1284-z A Lifecourse Approach to Health Development: Implications for the Maternal and Child Health Research Agenda Shirley A. Russ • Kandyce Larson • Ericka Tullis • Neal Halfon Published online: 17 August 2013 Ó Springer Science+Business Media New York 2013 Abstract Lifecourse-informed models of health funda- and genetic data on the same subjects rather than disci- mentally challenge simple biomedical models, introducing pline-specific studies, measurement and study of positive new ways of thinking about how diseases develop. This health as well as disease states, and study of multi-rather paper considers the broad implications of lifecourse theory than single generational cohorts. Adoption of a lifecourse- for the maternal and child health (MCH) research agenda. informed MCH research agenda requires a shift in focus The Lifecourse Health Development model provides an from single cause-single disease epidemiologic inquiry to organizing framework for a synthesis of the existing liter- one that addresses multiple causes and outcomes. Investi- ature on lifecourse health and identification of gaps in gators need additional training in effective interdisciplinary knowledge. Priority areas identified for MCH research in collaboration, advanced research methodology and higher- order to close these knowledge gaps include: epigenetic level statistical modeling. Advancing a life course health mechanisms and their potential mutability; peri-conception development research agenda in MCH will be foundational as a critical and sensitive period for environmental expo- to the nation’s long-term health. sures; maternal health prior to pregnancy; the role of the placenta as an important regulator of the intra-uterine Keywords Lifecourse Á Health development Á environment; and ways to strengthen early mother–child Maternal and child health interactions. -
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. -
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. -
A Life-Span Developmental Perspective on Social Status and Health
Journals of Gerontology: SERIES B Copyright 2005 by The Gerontological Society of America 2005, Vol. 60B (Special Issue II): 7–14 Overview A Life-Span Developmental Perspective on Social Status and Health Duane F. Alwin1 and Linda A. Wray2 Downloaded from 1Department of Sociology and Population Research Institute, and 2Department of Biobehavioral Health and Gerontology Center, The Pennsylvania State University, University Park. This article presents a life-span developmental (LSD) perspective on the linkages between social status and health. The objective is to develop a conceptual framework that is useful in understanding why people are differentially exposed to http://psychsocgerontology.oxfordjournals.org/ risks of disease or protective factors and the social conditions that link the effects of risk and protective factors to the social environment over the life span. The discussion distinguishes between the complementary concepts of ‘‘life span,’’ ‘‘life cycle,’’ and ‘‘life course,’’ critical theoretical distinctions that may help refine hypotheses about the relationship between health and social status. We argue that life-cycle and life-course concepts can be viewed as embedded in a more general LSD perspective. Using the theoretical principles derived from this perspective, the review examines (a) gender differences, (b) race–ethnic experiences, (c) childhood experiences, (d) educational levels, (e) socioeconomic differences, and (f) age differences. The emphasis in the review is to highlight the value of a broader LSD perspective -
Life Course Epidemiology D Kuh, Y Ben-Shlomo, J Lynch, J Hallqvist, C Power
778 GLOSSARY Life course epidemiology D Kuh, Y Ben-Shlomo, J Lynch, J Hallqvist, C Power ............................................................................................................................... J Epidemiol Community Health 2003;57:778–783 The aim of this glossary is to encourage a dialogue that will life course epidemiology has paid particular attention to the long term effects of childhood advance the life course perspective. and adolescent risk factors on later disease. This ........................................................................... is partly a response to the emphasis on adult factors in most post-war aetiological models of life course approach offers an interdisci- chronic disease. This is in contrast with the focus plinary framework for guiding research on of life span developmental psychology on adult health, human development and aging. human development to counter the dominance 1 A 1 23 4 of child centred developmental psychology. Psychologists, sociologists, demographers, anthropologists,5 and biologists6 have actively Life course epidemiology attempts to integrate promoted such an approach for many years. The biological and social risk processes rather than interdisciplinary research area of developmental draw false dichotomies between them. The science,78 also brings together psychological, interests of life course epidemiology overlap with cognitive, and biological research on develop- social epidemiology, that branch of epidemiology mental processes from conception to death. that studies -
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. -
Looking Through the Wellbeing Kaleidoscope
Looking through the wellbeing kaleidoscope Results from the European Social Survey The Well-being Institute (WBI) is a cross-disciplinary initiative at the University of Cambridge that promotes the highest quality research in the science of well-being, and its integration into first rate evidence-based practice and policy. As a centre for the scientific study of well- being, the WBI’s aim is to make major contributions to the development of new knowledge and its application in enhancing the lives of individuals and of the institutions and communities in which they live and work. The Centre for Comparative Social Surveys (CCSS), City University London, was established in 2003 and has since built a team of experts specialising in the design, implementation, and analysis of large scale and cross-national surveys. For example the CCSS runs the 36-country European Social Survey. CCSS experts engage in research on linking other data sources, e.g., administrative and geographical data to surveys. This includes technical solutions to anonymisation, micro simulations, and automatic coding. The CCSS host a variety of externally funded research projects investigating methodological and substantive issues in large scale and comparative surveys. New Economics Foundation (NEF) is an independent think-and-do tank that inspires and demonstrates real economic wellbeing. We aim to improve quality of life by promoting innovative solutions that challenge mainstream thinking on economic, environmental and social issues. We work in partnership and put people and the planet first. Contents Overview 4 Introduction 7 Chapter 1: Comprehensive psychological wellbeing 10 Chapter 2: Inequalities in wellbeing 30 Chapter 3: Five ways to wellbeing 41 Chapter 4: Perceived quality of society 51 Endnotes 71 4 DiversityLooking throughand Integration the wellbeing kaleidoscope Overview The ultimate aim of policy making should be to improve people’s wellbeing. -
The European Social Survey (ESS): an Overview
Intro Methodology Individual data Multilevel data Resources The European Social Survey (ESS): An overview www.europeansocialsurvey.org Christian Schnaudt ([email protected]) GESIS – Leibniz Institute for the Social Sciences www.europeansocialsurvey.org The European Social Survey (ESS): An overview Intro Methodology Individual data Multilevel data Resources Outline 1 Introduction: The ESS at a glance 2 Methodological aspects of the ESS 3 The ESS individual-level data 4 The ESS multilevel data 5 Additional resources concerning the ESS www.europeansocialsurvey.org The European Social Survey (ESS): An overview Intro Methodology Individual data Multilevel data Resources General information Aims Organization Structure Coverage Facts and figures Facts cross-national survey with a focus on Europe interdisciplinary, academic background established and first conducted in 2001/2002 data for eight rounds currently available (2002-2016) winner of the Descartes Prize of the EU Commission 2005 Figures >35 participating countries ~375.000 interviews during the first eight rounds >3.000 scientific publications based on ESS data publications in ~475 academic journals ~135.000 registered users of ESS data www.europeansocialsurvey.org The European Social Survey (ESS): An overview Intro Methodology Individual data Multilevel data Resources General information Aims Organization Structure Coverage Main goals and objectives 1 to chart stability and change in the social structure, the conditions and citizens’ attitudes across European countries 2 to achieve