A SWISS SURVEY LANDSCAPE FOR COMMUNICATION RESEARCH

1. A SWISS SURVEY LANDSCAPE FOR COMMUNICATION RESEARCH Dr. Boris Wernli Head of Survey Unit FORS, c/o University of Lausanne USI, Lugano, 2010 June 15, Institute of Communication and Health

2. A SWISS SURVEY LANDSCAPE FOR COMMUNICATION RESEARCH • survey typology • swiss survey landscape (availability, periodicity and national coverage) • Swiss Health Survey • Swiss Household Panel • SHARE project

3. representative surveys • random sample ----- statistical inference • probabilistic interpretation • cases = anonymous individuals • data collected by sampling and surveying • problems related to unit and item non-response

4. different survey designs no survey can satisfy everybody’s needs in terms of • topical interests • hypothesis to test • precision • available time • ressources • …

5. survey design I • apart topical interest • who’s interviewed? what is the mother population of interest? • general population? • adults? • electors? • specific group ? (students, pensioners, children, internet users, etc.)

6. survey design II • What is our perspective? situation at a given moment? for instance « who is now affected by a specific condition? » • cross-sectional survey trend at aggregated level ? for instance, « change in prevalence concerning a specific condition? » • repeated cross-sectional survey • same questionnaire • different samples trajectory at individual level? for instance, « who gets affected, who gets cured ? » • panel or cohort survey • same questionnaire • same respondents interviewed several times

7. a survey typology

8. swiss survey landscapeofficial repeated cross-sectional surveys I

9. swiss survey landscapeofficial repeated cross-sectional surveys II

10. swiss survey landscapeacademic driven repeated cross-sectional surveys I

11. swiss survey landscapeacademic driven repeated cross-sectional surveys II

12. swiss survey landscapeofficial longitudinal surveys

13. swiss survey landscapeacademic driven longitudinal surveys I

14. swiss survey landscapeacademic driven longitudinal surveys II

15. the Swiss Health Survey I • realized by the SFO • every 5 years, 1992, 1997, 2002, 2007, next in 2012 • repeated cross-sectional, CATI + drop-off paper questionnaire • very large sample (12’000 national + cantonal oversampling  19’000) • general population (15 and older) • data collected during the whole year- seasonal variations • data disponibility • SUF complete file, with contract, charge but discount… • PUS reduced version, no contract, free, download • limited set of sociodemo variables (privacy) • downloadable from end of 2010 on FORS COMPASS site

16. the Swiss Health Survey II • International (and national) comparability • 18 items European Health Interview Surveys (EHIS) (Eurostat + WHO) • EHSM (health status) • EHDM (health determinants) • EHCM (health care) • EBM (background variables) • MEHM, 3 items Minimum European Health Module • general health • chronic condition • activity restriction

17. the SHP (Swiss Household Panel) www.swisspanel.ch

18. Swiss Household Panel • a survey on living conditions of the Swiss population • principal aim: monitor social change • the Swiss Household Panel is originally (1999) a joint project of the Swiss National Science Foundation (SNF), the Swiss Federal Statistical Office and the University of Neuchâtel. • since January 2008, the SHP is part of the Swiss Competence Center for Social Research FORS at the University of Lausanne. • financed by the Swiss National Science Foundation • ressources: ± 8 full-time jobs, pluridisciplinary team

19. Characteristics of SHP • started 1999, yearly  11 waves available • household survey (individual questionnaires with all household-members 14 years old and older) • panel survey: individuals are followed over time • large sample (3200 – 7500 HH, 5200–11’400 P per year) • CATI-survey (Computer Assisted Telephone Interviews) • interviews in German, French and Italian • various disciplines covered (social sciences in a broad sense) • objective and subjective questions • complex survey

20. Interviewed individuals SHP 1999-2009 / SILC 2004-2005

21. survey realized with 5+1 complementary questionnaires • GRID : household composition, basic characteristics of members (sex, birthyear, occupation, civil status, nationality), relations between members + adress, phone numbers, etc. • HOUSEHOLD QUESTIONNAIRE with reference person • INDIVIDUAL QUESTIONNAIRE, for persons 14 and older • PROXY QUESTIONNAIRE: for persons under 14 or unable to answer • BIOGRAPHIC QUESTIONNAIRE (paper) : unique, 2001-2002 • INTERVIEWERS QUESTIONNAIRE (paper)

22. Topics of the survey • Socio-economic variables: socio-demographic characteristics, education, work, housing, income and standard of living + social origins (mother and father’s education, etc.) →social stratification and mobility • Events: Marriage, Birth, Death, Illness, Accident, Conflicts etc. → Life cycle, but also “accidents” of life • Social, political and cultural participation: social networks, associations, votes, elections, parties, leisure activities → Integration, social relationships, political behavior • Perceptions and values: feeling of poverty, insecurity, confidence, gender equality → Representation, values, social capital • Psychological scales and mesures: Big Five Ten, risk aversion, self-efficacy since W11 • Satisfaction and health: Self-evaluations, various pains, chronic handicaps, (tobacco since W12) → Quality of life, health sociology, public health

23. individual level – health modulepartly compatible EHIS « subjective » elements • health status • change in health since last wave • satisfaction of health status • impediment in everyday activities • depression and optimism « objective » elements » • troubles and problems • back • sleeping • weakness, weariness • headaches • doctor’s visits, hospitalisation • medication • weight, height • present and former smoking (w12) • physical activity • number of days affected • long term illness or condition • cause • since when

24. Data structure I data and documentation files download • 2 annual files (now 11 waves available) • households • individuals 5 data files «all waves» • master Persons • master Household • social Origin • last job • activities calendar • additional files • biographic questionnaire • interviewer data

25. Data structure II • additional data (on demand) • Contact data (from centralized CATI) • Imputed income (of income variable in annual CD) • Geographic data (municipalities) • SILC Pilot-Study (2004, 2005) • data access • Sign contract (www.swisspanel.ch) • code for dowload sent by e-mail

26. International household panels landscape

27. SHP CNEF-Data • Demographics: all • Employment: all • Medical/health: partly available • Equivalence scale inputs, location, psychological, weights, identifiers: all • Yearly income • Not available: Imputed rental income, Household Federal Taxes, Household Private Retirement Income • Household taxes completely simulated • Imputed item non-response and unit non-response • Imputation method: depending on variable • Little and Su (distinguished by education groups) • Carry over (for stable social security pensions)

28. SHP – analytical perspectives • cross-sectional « classic » analysis • matching partners and/or children data • matching parents-children data not living together (social origin) • three generations models • multilevel modeling (individual, household, commune, canton, etc.) • repeated cross sectional – trends at aggregated level • longitudinal analysis • event history analysis (survival analysis, discret time logistics, Cox regression) • study sequences (optimal matching, TraMiner) • change on continuous variables (LMM, growth curve models, SEM, etc.)

29. Thank you! www.swisspanel.ch swisspanel@fors.unil.ch boris.wernli@fors.unil.ch