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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
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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
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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
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different survey designs
no survey can satisfy everybody’s needs in terms of
–topical interests–hypothesis to test–precision–available time–ressources–…
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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.)
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–What is our perspective?situation at a given moment? for instance « who is now affected by a specific condition? »
– cross-sectional surveytrend 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
survey design II
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a survey typologyunique cross sectional
repeated cross sectional
panel cohort rotating panel
retrospective survey
cross- sectional precision
XXXX XXXX XX XX XXX X
universality XXXX XXXX XXX X XXX XXX
subjective indicators
XXXX XXXX XXXX XXXX XXXX X
net change XXXX XX XX XXX X
gross change
XXXX XXXX XX XX
cost XXX XX X X X XXXX
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swiss survey landscapeofficial repeated cross-sectional surveys I
Surveys Freq.
Unit of data collection
Sample size
Population target
Topical orientation
Interview mode
Household Budget Survey annual household
3,000 households
general population
income, consumption
CATI + paper-and-pencil
Swiss Health Survey
every 5 years individual
12,000 persons + cantonal oversampl.
general population
health, behaviour related to health
CATI + paper-and-pencil
Structural Survey annual
household + individual
200,000 persons
general population
basic objective information
Paper-and-pencil or CAWI
Mobility and transports
every 5 years individual
40,000 persons
general population
transports, mobility CATI
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swiss survey landscapeofficial repeated cross-sectional surveys II
Surveys Frequency
Unit of data collection
Sample size
Population target
Topical orientation
Interview mode
Education and training
every 5 years individual
10,000 persons
general population
education, training
CATI (+ paper-and-pencil or CAWI)
Families and generations
every 5 years individual
10,000 persons
general population
family, fertility
CATI (+ paper-and-pencil or CAWI)
Language, religion and culture
every 5 years individual
10,000 persons
general population
languages, religion, culture, leisure
CATI (+ paper-and-pencil or CAWI)
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swiss survey landscapeacademic driven repeated cross-sectional
surveys I
Surveys Frequency
Unit of data collection
Sample size
Population target
Topical orientation
Interview mode
World Values Survey
every 5 years individual
1,200 persons
general population values, trust CAPI
European Values Study
every 9 years individual
1,200 persons
general population values, trust CAPI
Swiss Electoral Studies
every 4 years individual
4,400 persons
Swiss electors
political behaviour and attitudes CATI
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swiss survey landscapeacademic driven repeated cross-sectional
surveys II
Surveys Frequency
Unit of data collection
Sample size
Population target
Topical orientation
Interview mode
MOSAiCH ISSP
every 2 years individual
1,000 persons
general population
values and attitudes CAPI
European Social Survey
every 2 years individual
2,000 persons
general population
values, trust, attitudes CAPI
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swiss survey landscapeofficial longitudinal surveys
Surveys Type
Unit of data collection
Sample size
Population target
Topical orientation
Interview mode
Swiss Labour Force Survey (SLFS)
rotating panel, 5 years individual
45,000 persons (30,000+15,000 foreigners)
general population
work income, labour market, employment, education CATI
Statistics on Income and Living Conditions (SILC)
rotating panel, 4 years
household + all members
6,900 households, 11,300 persons
general population
living conditions, employment, income, health, social participation CATI
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swiss survey landscapeacademic driven longitudinal surveys I
Surveys Type
Unit of data collection
Sample size
Population target
Topical orientation
Interview mode
SHP panel
household + all members
7500 HH11’400 persons general
populationgeneral, multi-purpose
CATI (+ paper-and-pencil for biographical questionnaire)
TREE
cohort study, annual (2001-2007) individual
5,500 persons
young school leavers in 2000
education, employment, labour market, transition from school to labour-market
CATI + paper-and-pencil
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swiss survey landscapeacademic driven longitudinal surveys II
Surveys Type
Unit of data collection
Sample size
Population target
Topical orientation
Interview mode
SHARE
cohort study, every 2 years
household + some members
1,000 persons
non-institutionalized population aged 50 and more
health, economics
CAPI + paper-and-pencil
COCON
cohort study, every 3 years
school + household + individual
3,100 persons
children and youth
life course transitions
CAPI + paper-and-pencil
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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
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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
the SHP (Swiss Household Panel)www.swisspanel.ch
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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
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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
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Interviewed individuals SHP 1999-2009 / SILC 2004-2005
0100020003000400050006000700080009000
100001100012000
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
PSM_I PSM_II SILC_I SILC_II
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survey realized with 5+1 complementary questionnaires
1. GRID : household composition, basic characteristics of members (sex, birthyear, occupation, civil status, nationality), relations between members + adress, phone numbers, etc.
2. HOUSEHOLD QUESTIONNAIRE with reference person
3. INDIVIDUAL QUESTIONNAIRE, for persons 14 and older
4. PROXY QUESTIONNAIRE: for persons under 14 or unable to answer
5. BIOGRAPHIC QUESTIONNAIRE (paper) : unique, 2001-2002
6. INTERVIEWERS QUESTIONNAIRE (paper)
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Topics of the surveySocio-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
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individual level – health modulepartly compatible EHIS
« 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
« subjective » elements
• health status
• change in health since last wave
• satisfaction of health status
• impediment in everyday activities
• depression and optimism
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Data structure Idata and documentation files download
• 2 annual files (now 11 waves available)– households– individuals5 data files «all waves»– master Persons– master Household– social Origin– last job– activities calendar
• additional files– biographic questionnaire– interviewer data
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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
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International household panels landscape
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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)
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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.)