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ZA5800: International Social Survey Programme: Health and Health Care - ISSP 2011

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International Social Survey Programme: Health and Health Care - ISSP 2011
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Bibliographic Citation

Citation Citation    ISSP Research Group (2015): International Social Survey Programme: Health and Health Care - ISSP 2011. GESIS Data Archive, Cologne. ZA5800 Data file Version 3.0.0, https://doi.org/10.4232/1.12252
Study No.ZA5800
TitleInternational Social Survey Programme: Health and Health Care - ISSP 2011
Current Version3.0.0, 2015-6-10, https://doi.org/10.4232/1.12252
Date of Collection28.02.2011 - 25.04.2013
Principal Investigator/ Authoring Entity, Institution
  • Evans, Ann - The Australian National University, Canberra, Australia
  • Dimova, Lilia - Agency for Social Analyses (ASA), Bulgaria
  • Sapin, Marlène - FORS swiss foundation for research in soical sciences, c/o University of Lausanne, Switzerland
  • Joye, Dominique - FORS swiss foundation for research in social sciences, c/o University of Lausanne, Switzerland
  • Segovia, Carolina - Centro de Estudios Públicos (CEP), Santiago, Chile
  • Hamplová, Dana - Institute of Sociology, Prague, Czech Republic
  • Blom, Raimo - University of Tampere, Finland
  • Melin, Harri - University of Tampere, Finland
  • Forsé, Michel - FRANCE-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff, France
  • Bréchon Pierre - FRANCE-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff, France
  • Park, Alison - National Centre for Social Research (NatCen), London, Great Britain
  • Clery, Liz - National Centre for Social Research (NatCen), London, Great Britain
  • Marinović Jerolimov, Dinka - Institute for Social Research, Zagreb, Croatia
  • Lewin-Epstein, Noah - B.I. and Lucille Cohen, Institute for public opinion research, Tel Aviv, Israel
  • Murata, Hiroko - NHK Broadcasting Culture Research Institute, Tokyo, Japan
  • Masaki, Miki - NHK Broadcasting Culture Research Institute, Tokyo, Japan
  • Aramaki, Hiroshi - NHK Broadcasting Culture Research Institute, Tokyo, Japan
  • Kim, Sang-Wook - Department of Sociology, Sungkyunkwan University, Seoul, Korea
  • Kolsrud, Kirstine - Norwegian Social Science Data Services, Bergen, Norway
  • Skjåk, Knut K. - Norwegian Social Science Data Services, Bergen, Norway
  • Social Weather Stations, Quezon City, Philippines
  • Khakhulina, Ludmilla - Levada-Center, Moscow, Russia
  • Hafner-Fink, Mitja - Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana, Slovenia
  • Malnar, Brina - Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana, Slovenia
  • Chang, Ying-hwa - Institute of Sociology, Academia Sinica, Nankang, Taipei, Taiwan
  • Carton, Ann - Vlaamse Overheid, Studiedienst van de Vlaamse Regering (Research Centre of the Flemish Government) (SVR), Flanders (Belgium)
  • Loosveldt, Geert - Catholic University Leuven, Belgium
  • Swyngedouw, Marc - Catholic University Leuven, Belgium
  • Elchardus, Mark - Free University of Brussels, Belgium
  • Glorieux, Ignace - Free University of Brussels, Belgium
  • Molenberghs, Geert - University of Hasselt, Belgium
  • Institut Wallon de l’évaluation, de la Prospective et de la Statistique (IWEPS), Belgium
  • Wolf, Christof - GESIS Leibniz-Institut für Sozialwissenschaften, Germany
  • Clement, Sanne L. - Department of Economics, Politics and Public Administration, Aalborg University, Denmark
  • Andersen, Johannes - Department of Economics, Politics and Public Administration, Aalborg University, Denmark
  • Møberg, Rasmus - Department of Economics, Politics and Public Administration, Aalborg University, Denmark
  • Lolle, Henrik - Department of Economics, Politics and Public Administration, Aalborg University, Denmark
  • Shamshiri-Petersen, Ditte - Department of Economics, Politics and Public Administration, Aalborg University, Denmark
  • Andersen, Jørgen G. - Department of Economics, Politics and Public Administration, Aalborg University, Denmark
  • Larsen, Christian A. - Department of Economics, Politics and Public Administration, Aalborg University, Denmark
  • Sønderskov, Kim M. - Department of Political Science, University of Aarhus, Aarhus, Denmark
  • Sommer Harrits, Gitte - Department of Political Science, University of Aarhus, Aarhus, Denmark
  • Jæger, Mads - Department of Education, University of Aarhus, Aahrhus, Denmark
  • Gundelach, Peter - Department of Sociology, University of Copenhagen, Denmark
  • Levinsen, Klaus - Department of Political Science, University of Southern Denmark, Odense, Denmark
  • Fridberg, Torben - The Danish National Institute of Social Research, Copenhagen, Denmark
  • Krupavičius, Algis - Policy and Public Administration Institute, Kaunas University of technology, Lithuania
  • Zielinski, Marcin W. - Institute for Social Studies, Warsaw University, Poland
  • Vala, Jorge - Instituto de Ciências Sociais da Universidade de Lisboa, Portugal
  • Ramos, Alice - Instituto de Ciências Sociais da Universidade de Lisboa, Portugal
  • Edlund, Jonas - Department of Sociology, Umea University, Sweden
  • Bahna, Miloslav - Institute for Sociology of Slovak Academy of Sciences, Bratislava, Slovakia
  • Çarkoğlu, Ali - Istanbul Policy Center (IPC), Istanbul, Turkey
  • Kalaycıoğlu, Ersin - Istanbul Policy Center (IPC), Istanbul, Turkey
  • Smith, Tom W. - National Opinion Research Center (NORC), Chicago, USA
  • Marsden, Peter V. - Harvard University, Cambridge, Massachusetts, USA
  • Hout, Michael - University of California, Berkeley, USA
  • Struwig, Jare - Human Science Research Council (HSRC), Pretoria, South Africa
  • Ganzeboom, Harry - VU University Amsterdam, Netherlands
  • Li, Lulu - The National Survey Research Center, Renmin University of China, Beijing, China
  • Meraviglia, Cinzia - Institute of Social Research, University of Eastern Piedmont, Italy
  • Méndez, Mónica - Center of Sociological Research (CIS), Madrid, Spain
  • García-Pardo, Natalia - Center of Sociological Research (CIS), Madrid, Spain

Content

AbstractEvaluation of health care system in the country. Personal health. Health insurance. Themes: satisfaction with life (happiness); confidence in the educational system and the health system of the country; changes of health care system is needed; justification of better medical supply and better education for people with higher incomes; assessment of the health care system of the country (scale: estimation of improvement of the health care system, usage of health care services more than necessary, government should provide only basic health care services, inefficient health care system); willingness to pay higher taxes to improve the level of health care for all people in the country; attitude towards public funding of: preventive medical checkups, treatment of HIV/AIDS, programs to prevent obesity and conduct organ transplants; attitude towards the access to publicly funded health care for people without citizenship of the country and even if they behave in ways that damage their health; estimated part of people without access to the health care system; causes of severe health problems (behavior that damages health, environment, genes, poverty); evaluation of patients for smoking habits, age and the presence of young children for a needed heart operation; attitude towards alternative (traditional or folk) medicine (provides better solutions for health problems than conventional medicine, promises more than it is able to deliver); assessment of doctors in general in the country (scale: doctors can be trusted, discuss all treatment options with their patients, poor medical skills, more care about their earnings than about their patients, openness in dealing with mistakes during treatment); frequency of difficulties with work or household activities because of health problems, bodily aches or pains, unhappiness and depression, loss of self-confidence and insuperable problems in the past four weeks; frequency of doctor visits and of visiting an alternative (traditional/folk) health care practitioner during the past twelve months; stay in hospital or a clinic as an in-patient overnight during the last year; reasons why the respondent did not receive needed medical treatment (could not pay for it, could not take the time off work or because of other commitments, needed treatment was not available at the place of residence, too long waiting list); likelihood of getting the best treatment available in the country in the case of seriously illness and of treatment from the doctor of own choice; satisfaction with the health care system in the country; satisfaction with treatment at the last visit to a doctor, when attending alternative health care practitioner and with the last hospital stay; number of smoked cigarettes per day; frequency of drinking four or more alcoholic drinks on the same day, strenuous physical activity and of eating fresh fruit or vegetables; assessment of personal health; respondent has a long-standing illness, a chronic condition or a disability; height and weight of respondent; kind of personal health insurance; only respondents with health insurance: assessment of personal health insurance coverage. Optional items: personal health insurance covers the prescribed drugs, dental health care and in-patient health care in hospital; need of a referral from the family doctor before visiting a medical specialist; limitation of social activities with family or friends because of health problems. Demography: Sex; age; year of birth; years in school; education (country specific); highest completed degree; work status; hours worked weekly; employment relationship; number of employees; supervision of employees; number of supervised employees; type of organization: for-profit vs. non profit and public vs. private; occupation (ISCO-88); main employment status; living in steady partnership; union membership; religious affiliation or denomination (country specific); groups of religious denominations; attendance of religious services; top-bottom self-placement; vote in last general election; country specific party voted in last general election; party voted (left-right); ethnicity (country specific); number of children; number of toddlers; size of household; earnings of respondent (country specific); family income (country specific); marital status; place of living: urban – rural; region (country specific). Information about spouse and about partner on: work status; hours worked weekly; employment relationship: supervises other employees, occupation (ISCO-88); main employment status. Additionally encoded: date of interview; case substitution flag; mode of data collection; weight.
Categories Categories
  • Social Policy
  • Medicine
Topics Topics
  • 7.4 Health care and medical treatment
  • 7.5 Health policy

Methodology

Geographic Coverage
  • Australia (AU)
  • Bulgaria (BG)
  • Switzerland (CH)
  • Chile (CL)
  • Czech Republic (CZ)
  • Finland (FI)
  • France (FR)
  • Great Britain (GB-GBN)
  • Croatia (HR)
  • Israel (IL)
  • Japan (JP)
  • Korea, Republic of (KR)
  • Norway (NO)
  • Philippines (PH)
  • Russian Federation (RU)
  • Slovenia (SI)
  • Taiwan (TW)
  • Belgium (BE)
  • Germany (DE)
  • Denmark (DK)
  • Lithuania (LT)
  • Poland (PL)
  • Portugal (PT)
  • Sweden (SE)
  • Slovakia (SK)
  • Turkey (TR)
  • United States (US)
  • Netherlands (NL)
  • South Africa (ZA)
  • China (CN)
  • Italy (IT)
  • Spain (ES)
UniverseAge: 18 years old and older Exceptions: Denmark (18-79), Finland (15-74), Italy (16 years old and older), Japan (16 years old and older), Norway (19-78), Sweden (18-80), South Africa (16 years old and older)
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability
Sampling procedures differ for the individual countries: partly simple, partly multi-stage stratified random samples
Mode of Collection Mode of Collection
  • Interview
  • Self-administered questionnaire
Mode of interview differs for the individual countries: partly face-to-face interviews (partly CAPI) with standardized questionnaire, partly paper and pencil and postal survey and partly web survey Australia: Self-completion, paper and pencil, mailed to, mailed back by respondent Belgium - Flanders: ISSP-module: drop-off questionnaire. Background variables were asked face-to-face (CAPI) Belgium - Wallonia: postal survey Bulgaria: Face-to-face (PAPI) Switzerland: CAPI Chile: Face-to-face China: Face-to-face (PAPI) Czech Republic: Face-to-face Denmark: Web based (self-completion). A postal introduction letter containing a link was mailed to all respondents Spain: Face-to-face (PAPI) Finland: Postal (both directions), self-completion, paper & pencil OR internet France: Mail Germany: Self-completion questionnaire (CASI), interviewer in attendance. Background variables were asked face-to-face (CAPI). Great Britain: Self-completion questionnaire, completed by the respondent after the main face-to-face interview and collected by the interviewer or posted by the respondent. Croatia: Face-to-face Israel: Face-to-face Italy: Self completion, paper and pencil; questionnaire delivered by interviewer, returned by mail and self completion, web questionnaire Japan: Self-completion Lithuania: Face to face interview/paper and pencil interview (PAPI), with visuals Korea (South): Face-to-face Norway: Combined mail survey and web survey Philippines: Face-to-face interviews with visuals Poland: Computer Assisted Personal Interview (CAPI) Portugal: Computer Assisted Personal Interview (CAPI) Russia: Face-to-face interview Sweden: Postal survey Slovakia: CAPI with visuals (visuals displayed on screen) Slovenia: Personal interviews (pencil and paper with visuals) South Africa: Face-to-face Taiwan: Face-to-face interview (pencil and paper & CAPI) Turkey: Face-to-Face interviews with visuals USA: Face-to-face (CAPI)
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
Data CollectorAustralia: Academic Surveys Australia, Black Rock, Melbourne; Belgium - Flanders: Significant GfK, Heverlee; Belgium - Wallonia: Institut Wallon de l’évaluation, de la Prospective et de la Statistique (IWEPS); Bulgaria: ESI Center; Switzerland: M.I.S. Trend SA, Institut de recherches sociales et économiques, Lausanne; Chile: ICCOM, Santiago; China: The National Survey Research Center, Renmin University of China, Beijing; Czech Republic: MEDIAN research age; Denmark: Rambøll Denmark A/S, Copenhagen; Spain: Center of Sociological Research (CIS); Finland: Statistics Finland, Social Survey Unit, Helsinki; France: Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff; Germany: TNS Infratest; Great Britain: National Centre for Social Research (NatCen), London; Croatia: Hendal market research; Israel: B.I. and Lucille Cohen, Institute for public opinion research, Tel Aviv; Italy: Marker S.r.l., Mestre (Venice); Japan: Central Research Services, Inc., Tokyo; Lithuania: Baltic surveys Ltd., Vilnius; Poland: Public Opinion Research Center (CBOS), Warsaw; Portugal: CESOP, Centro de Estudos e Sondagens de Opinião; South Korea: Survey Research Center at Sungkyunkwan University, Seoul; Norway: TNS Gallup, Oslo (contact and paper questionnaire administration) and NSD, Bergen (web questionnaire administration); Philippines: Social Weather Stations, Quezon City; Russia: Analytic Levada-Center, Moscow; Slovakia: TNS Slovakia, Bratislava; Sweden: TNS SIFO, Stockholm; Slovenia: Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana; Taiwan: Center for Survey Research, RCHSS, Academia Sinica, Nankang, Taipei; USA: National Opinion Research Center (NORC), Chicago; South Africa: Human Science Research Council (HSRC), Pretoria; Netherlands: VU University Amsterdam
Date of Collection
  • 01.05.2012 - 08.08.2012 (Australia)
  • 16.08.2011 - 20.09.2011 (Bulgaria)
  • 07.03.2011 - 17.11.2011 (Switzerland)
  • 11.11.2011 - 11.12.2011 (Chile)
  • 24.02.2012 - 30.03.2012 (Czech Republic)
  • 28.08.2011 - 09.12.2011 (Finland)
  • 03.2011 - 09.2011 (France)
  • 01.07.2011 - 07.11.2011 (Great Britain)
  • 20.05.2011 - 20.06.2011 (Croatia)
  • 19.11.2011 - 26.04.2012 (Israel)
  • 26.11.2011 - 04.12.2011 (Japan)
  • 26.06.2011 - 31.08.2011 (Korea (South))
  • 07.03.2012 - 04.05.2012 (Norway)
  • 04.09.2011 - 07.09.2011 (Philippines)
  • 05.12.2011 - 23.12.2011 (Russia)
  • 09.03.2011 - 15.06.2011 (Slovenia)
  • 17.07.2011 - 10.11.2011 (Taiwan (1st wave))
  • 28.02.2012 - 07.04.2012 (Taiwan (2nd wave))
  • 02.04.2011 - 16.08.2011 (Belgium - Flanders)
  • 24.09.2012 - 24.12.2012 (Belgium - Wallonia)
  • 23.04.2012 - 30.09.2012 (Germany)
  • 08.01.2013 - 01.03.2013 (Denmark)
  • 22.11.2011 - 19.12.2011 (Lithuania)
  • 13.04.2013 - 25.04.2013 (Poland)
  • 03.11.2012 - 03.04.2013 (Portugal)
  • 28.02.2011 - 16.05.2011 (Sweden)
  • 25.10.2012 - 10.12.2012 (Slovakia)
  • 26.11.2011 - 22.01.2012 (Turkey)
  • 19.03.2012 - 05.09.2012 (United States)
  • 20.09.2011 - 30.10.2011 (South Africa)
  • 08.03.2011 - 01.12.2011 (Netherlands)
  • 15.11.2011 - 19.12.2011 (China)
  • 18.10.2012 - 04.02.2013 (Italy)
  • 23.05.2012 - 23.07.2012 (Spain)

Errata & Versions

VersionDate, Name, DOI
3.0.0 (current version)2015-6-10 3 countries added: China, Italy, Spain https://doi.org/10.4232/1.12252
2.0.02013-8-27 final release (12 countries added) https://doi.org/10.4232/1.11759
1.0.02013-4-15 first archive edition https://doi.org/10.4232/1.11605
Errata in current version
DateSubjectDescription
2014-8-15V36/ Q16e Doctors: tell about mistake during treatment - Poland: Deviating translationPlease note that subquestion Q16e "Doctors WOULD tell their patients if they made a mistake during treatment" in Poland´s questionnaire was erroneously translated into "Doctors SHOULD tell their patients if they made a mistake during treatment". As a result, the substantial meaning of this question has changed making the Polish answers incomparable. Please exclude this variable from Poland from international comparisons.
2015-6-24HHCHILDR (Children between 6 and 17 in household) , HHTODD (Children up to 6/ school age in household) - South Korea: Wrong dataIn case of South Korea, child’s age is included in variables HHCHILDR and HHTODD instead of household’s number of children. An update will be sent shortly by the PI. Please, exclude these variables from analyses in the meantime.
2016-4-20CL_REG (Country specific region) - Chile: Wrong Value labelThe value label for category 14 should read ‘De los Rios’. This region was created in 2007 by subdividing Los Lagos region.
2016-10-10PARTY_LR: Party voted for in last general election: left-right (derived from nat_PRTY) - BE: Derivation errorFor Belgium, two categories of BE_PRTY have been derived incorrectly for PARTY_LR. You can fix this as follows: if BE_PRTY=8 PARTY_LR=2. if BE_PRTY=13 PARTY_LR=7.exe.
2017-3-7V36/ Q16e Doctors: tell about mistake during treatment - Bulgaria: Presumably deviating translationPlease note that subquestion Q16e "Doctors WOULD tell their patients if they made a mistake during treatment" in Bulgaria´s questionnaire PRESUMABLY was erroneously translated into "Doctors SHOULD tell their patients if they made a mistake during treatment". As a result, the substantial meaning of this question might have changed making the Bulgarian answers incomparable. Please be careful when analyisng this variable for Bulgaria.
2017-3-8V36/ Q16e Doctors: tell about mistake during treatment - Finland: Deviating translationPlease note that subquestion Q16e "Doctors WOULD tell their patients if they made a mistake during treatment" in Finland´s questionnaires was erroneously translated into "Doctors SHOULD tell their patients if they made a mistake during treatment". As a result, the substantial meaning of this question has changed making the Finnish answers incomparable. Please exclude this variable from Finland from international comparisons.
2018-2-1Information on identified duplicated records in ISSP datasets:Please, check in document ‘ZA1490_All_Overview_Duplicated Records.xlsx’ in tab ‘Data & Documents’, subtab ’Other Documents’, whether the dataset at hand contains any identified duplicated records. The document also offers recommendations for treatment.
Version changes
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2013-10-11FI_ETHN (Country specific ethnic group) - Finland: Incomplete documentationIn case of Finland, variable FI_ETHN is documented incompletely. The value label for category 3 is missing and should read ´Other´.2015-6-10Fixed.
2013-10-14CZ_DEGR (Country specific highest completed degree of education) - Czech Republic: Not coded according to standardIn case of the Czech Republic, DEGREE was not coded according to the revised educational scheme ISCED-97. Category 1 ´Primary school´ includes the lowest formal education in basic school lasting 8 or 9 years whereas category 1 according to ISCED-97 only should include the 1st stage of basic school in the sense of elementary school, that means 4 or 5 years of schooling, also with implications on the coding of category 2. 2015-6-10Fixed.
2013-10-17CH_DEGR (Country specific highest completed degree of education) - Switzerland: Data errorFor Switzerland, the labels for codes 5-13 of variable CH_DEGR were attributed incorrectly. Please run the following syntax command to obtain correct labels according to the current variable categories: Recode CH_DEGR (11=5) (12=6) (5=7) (9=8) (8=9) (6=10) (13=11) (10=12) (7=13) (else=copy). Variable DEGREE is correct. After the recode of variable CH_DEGR the right correlation of these two variables is: DEGREE=0 / CH_DEGR=1; DEGREE=1 / CH_DEGR=2; DEGREE=2 / CH_DEGR=3-5; DEGREE=3 / CH_DEGR=10,13; DEGREE=4 / CH_DEGR=6-9,11,12,14; DEGREE=5 / CH_DEGR=15-17,19,20; DEGREE=6 / CH_DEGR=18,21-232015-6-10Fixed.
2014-3-11TOPBOT (Top - Bottom self-placement) - Croatia: Scale reversedIn case of Croatia, a user alerted us to an error in the variable TOPBOT. The primary investigator has confirmed that the scale was reversed by mistake. To correct the error in the international data file, please apply the syntax below: do if v4=191. recode TOPBOT (1=10) (2=9) (3=8) (4=7) (5=6) (6=5) (7=4) (8=3) (9=2) (10=1) (else=copy). end if. execute. 2015-6-10Fixed.
2014-8-15V36/ Q16e Doctors: tell about mistake during treatment - Poland: Deviating translationPlease note that subquestion Q16e "Doctors WOULD tell their patients if they made a mistake during treatment" in Poland´s questionnaire was erroneously translated into "Doctors SHOULD tell their patients if they made a mistake during treatment". As a result, the substantial meaning of this question has changed making the Polish answers incomparable.2015-6-10Please exclude this variable from Poland from international comparisons.
2015-6-10CASEID (ID Number of Respondent) - Slovakia, Lithuania: Missing or doubleSlovakia: All cases have the same id number, 0. Lithuania: Three dublicated caseids (# 20110440000035, 20110440000149, 20110440000678).2015-6-10Slovakia: Identification numbers of respondents were generated by the Archive. Lithuania: One of the duplicated cases each time recoded:do if caseid=20110440000035 & v5=4. recode caseid (20110440000035=20110440001188). end if. exe. do if caseid=20110440000149 & v5=4. recode caseid (20110440000149=20110440001189). end if. exe. do if caseid=20110440000678 & v5=4. recode caseid (20110440000678=20110440001190). end if. exe. do if caseid=20110440000149 & v5=4. recode caseid (20110440000149=20110440001189). end if. exe. do if caseid=20110440000678 & v5=4. recode caseid (20110440000678=20110440001190). end if. exe.
2015-6-10DEGREE (Highest completed education level) - several countries: revisedFor the countries CL, CZ, FR, GB, HR, IL, KR, NO, PH, PL, RU, SE, SI, SK and ZA the variable DEGREE deviated from the ISSP standard DEGREE variable that should be a slightly re-arranged subset of ISCED-97.2015-6-10Variable DEGREE has been revised for these countries.
2015-6-10TYPORG1 (Type of organization, for-profit/ non profit) and TYPORG2 (Type of organization, public/ private) - South Korea: Data errorFor South Korea, codes 1 and 2 in variables TYPORG1 and TYPORG2 has been erroneously reversed during the stage of data processing.2015-6-10Fixed.
2015-6-10MARITAL (Legal partnership status) - Russia, South Korea and Turkey: Deviating data encodingFor Russia, South Korea and Turkey, in MARITAL code 2 there are respondents included that are not legally partnered (cohabiting, living together).2015-6-10MARITAL code 2 has been recoded to code 6 for these countries.
2015-6-10MODE (Administrative mode of data-collection ) - Finland: More appropriate code available.Since Finland partly uses Internet surveys with web questionnaires, code 41 is more appropriate than code 40 and should be recoded.2015-6-10Recoded.

Further Remarks

NotesIn the first partial data release (v1.0.0) the following 17 countries are included with their number of cases: Australia: 1946 Bulgaria: 1003 Switzerland: 1212 Chile: 1559 Czech Republic: 1804 Finland: 1340 France: 3319 Great Britain: 936 Croatia: 1210 Israel: 1220 Japan: 1306 South Korea: 1535 Norway: 1834 Philippines: 1200 Russia: 1511 Slovenia: 1082 Taiwan: 2199 In the second data release additionally the following 12 countries are included with their number of cases: Belgium - Flanders: 1210, Wallonia: 1873 Germany: 1681 (East 564, West 1117) Denmark: 1388 Lithuania: 1187 Netherlands: 1472 Poland: 1115 Portugal: 1022 Slovakia: 1128 South Africa: 3004 Sweden: 1158 Turkey: 1559 USA: 1550 In the third data release additionally the following 3 countries are included with their number of cases: China: 5620 Spain: 2712 Italy: 1186
Number of Units: 55081
Number of Variables: 336
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
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Groups

Research Data Centre
Groups
  •  International Social Survey Programme (ISSP)
    The International Social Survey Programme (ISSP) is a continuing annual program of cross-national survey collaboration, covering a wide range of topics important for social science research. Since 1985 the ISSP provides international data sets, enabling cross-cultural and cross-temporal research.
  • ISSP - Module Topic: Health
    ‘Health’ is one of the eleven ISSP topic modules. Central themes are health related issues, such as self-reported health and well-being, personal experiences with health care, confidence and trust in the health care system and satisfaction with health care services.