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Cross-national attitudinal research. The International Social Survey Programme (ISSP) and the European Social Survey (ESS). Today. The value and challenges of cross-national research Key datasets International Social Survey Programme European Social Survey. Why do cross-national research?.
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Cross-national attitudinal research The International Social Survey Programme (ISSP) and the European Social Survey (ESS)
Today The value and challenges of cross-national research Key datasets • International Social Survey Programme • European Social Survey
Why do cross-national research? Huge challenges • Different survey traditions • Translation and equivalence Huge dividends • Exploring ‘general’ theories (social trust) • Examining relationships (welfare regimes and attitudes) • Illuminating single-nation studies (what is high?) “We don’t know who discovered water but we know it wasn’t the fish” (Marshall McLuhan)
ISSP • Annual since 1985 • Sampling and fieldwork • Minimum 1000 achieved sample • Face to face or self-completion methods • Questionnaire • 60 question module asked in agreed order • Agreed background questions • Data • Provided to central archive within 9 months of fieldwork end • Most recent dataset available is 2008 Religion • Available from www.issp.org • 48 countries across world
Argentina Australia Austria Belgium Bulgaria Canada Chile China Croatia Cyprus Czech Republic Denmark Dominican Republic Estonia Finland France ISSP member countries • Germany • Great Britain • Hungary • Iceland • Ireland • Israel • Italy • Japan • Latvia • Lithuania • Mexico • Netherlands • New Zealand • Norway • Palestine • Philippines • Poland • Portugal • Russia • Slovakia • Slovenia • South Africa • South Korea • Spain • Sweden • Switzerland • Taiwan • Turkey • Ukraine • United States • Uruguay • Venezuela
Topics Role of Government Social Networks Social Inequality Family and Changing Gender Roles Work Orientations Religion Environment National Identity Citizenship Sport and leisure Health ISSP topics • Year 1985, 1990, 1996, 2006 1986, 2001 1987, 1992, 1999, 2009 1988, 1994, 2002, 2012 1989, 1997, 2005 1991, 1998, 2008 1993, 2000, 2010 1995, 2003 2004 2007 2011
ESS Biennial since 2002 Sampling and fieldwork • Minimum effective sample size typically 1500 • Only random sampling • Face to face only Questionnaire • 60-70 minute survey, including background questions • Extensive attention to translation Quick data supply • 2010 dataset just released (preliminary release) • Available from ess.nsd.uib.no (or main ESS site) 28 countries in round 5
ESS round 5 participants Belgium Germany Portugal Bulgaria Greece Slovakia Croatia Hungary Russia Ireland Slovenia Cyprus Czech Republic Israel Spain Sweden Denmark Lithuania Estonia Netherlands Switzerland Ukraine Finland Norway France Poland United Kingdom
Core topics included each round include: Trust in institutions Political engagement Social capital Socio-political values, moral and social values National, religious and ethnic identity Well-being, health and security ESS core modules
2002 Citizenship, involvement and democracy Immigration 2004 Family, work and well-being Health and health-care seeking Economic morality 2006 Personal and social well-being Timing of life 2008 Experiences and expressions of ageism Welfare attitudes 2010 Work, family and well-being (repeat 2004) Trust in criminal justice 2012 Personal and social well-being (repeat 2006) Understandings and evaluations of democracy ESS rotating modules
ESS data 27,000 registered users with Archive Top 6 countries • Germany, UK, Slovenia, Belgium, Spain, US Predominantly academic • 52% students • 25% faculty and research • 9% doctoral research Online analysis or data download EduNet • Training resource – exploring theoretical questions using ESS data
Further sources of information • www.issp.org • www.europeansocialsurvey.org • ‘Measuring attitudes cross-nationally - Lessons from the European Social Survey (Jowell et al, 2007: Sage) • Online bibliographies at both ESS and ISSP websites
Thank you www.natcen.ac.uk
Roger’s laws of cross-national research! • The larger the number of countries, the harder it is to maintain quality • The greater the diversity of countries, the harder it is to maintain quality • Whatever one does, many people will use the data merely as league tables • Big surprises in the data are usually errors • There is no such thing as true equivalence