- 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

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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


Structural Survey annual

household + individual

200,000 persons

general population

basic objective information

Paper-and-pencil or CAWI

Mobility and transports


40,000 persons

general population

transports, mobility CATI

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swiss survey landscapeofficial repeated cross-sectional surveys II

Surveys Frequency


Sample size

Population target

Topical orientation

Interview mode

Education and training


10,000 persons

general population

education, training

CATI (+ paper-and-pencil or CAWI)

Families and generations


10,000 persons

general population

family, fertility


Language, religion and culture


10,000 persons

general population

languages, religion, culture, leisure


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swiss survey landscapeacademic driven repeated cross-sectional

surveys I

Surveys Frequency


Sample size

Population target

Topical orientation

Interview mode

World Values Survey


1,200 persons

general population values, trust CAPI

European Values Study


1,200 persons

general population values, trust CAPI

Swiss Electoral Studies


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


Sample size

Population target

Topical orientation

Interview mode

MOSAiCH ISSP


1,000 persons

general population

values and attitudes CAPI

European Social Survey


2,000 persons

general population

values, trust, attitudes CAPI

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swiss survey landscapeofficial longitudinal surveys

Surveys Type


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


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


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swiss survey landscapeacademic driven longitudinal surveys II

Surveys Type


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

http://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.)

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Thank you!

[email protected]

[email protected]

Documents

- 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