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ZA6980: International Social Survey Programme: Social Networks and Social Resources - ISSP 2017

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International Social Survey Programme: Social Networks and Social Resources - ISSP 2017
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Bibliographic Citation

Citation Citation ISSP Research Group (2019): International Social Survey Programme: Social Networks and Social Resources - ISSP 2017. GESIS Data Archive, Cologne. ZA6980 Data file Version 2.0.0, https://doi.org/10.4232/1.13322
Study No.ZA6980
TitleInternational Social Survey Programme: Social Networks and Social Resources - ISSP 2017
Current Version2.0.0, 2019-8-19, https://doi.org/10.4232/1.13322
Date of Collection13.01.2017 - 07.03.2019
Principal Investigator/ Authoring Entity, Institution
  • Muckenhuber, Johanna - Institut für Soziologie, Karl-Franzens-Universität Graz, Graz, Austria
  • Höllinger, Franz - Institut für Soziologie, Karl-Franzens-Universität Graz, Graz, Austria
  • Hadler, Markus - Institut für Soziologie, Karl-Franzens-Universität Graz, Graz, Austria
  • FORS, c/o University of Lausanne, Lausanne, Switzerland
  • Marinović Jerolimov, Dinka - Institute for Social Research, Zagreb, Croatia
  • Krejčí, Jindřich - Institute of Sociology, Academy of Sciences of the Czech Republic, Prague, Czech Republic
  • Clement, Sanne L. - Department of Political Science, Aalborg University, Aalborg, Denmark
  • Andersen, Johannes - Department of Political Science, Aalborg University, Aalborg, Denmark
  • Shamshiri-Petersen, Ditte - Department of Political Science, Aalborg University, Aalborg, Denmark
  • Andersen, Jørgen G. - Department of Political Science, Aalborg University, Aalborg, Denmark
  • Larsen, Christian A. - Department of Political Science, Aalborg University, Aalborg, Denmark
  • Severin, Majbritt C. - Department of Political Science, Aalborg University, Aalborg, Denmark
  • Nielsen, Alex S. - Department of Political Science, Aalborg University, Aalborg, Denmark
  • Borregaard, Nicolaj - Department of Political Science, Aalborg University, Aalborg, Denmark
  • Méndez Lago, Mónica - Centro de Investigaciones Sociológicas (CIS), Madrid, Spain
  • Cuesta, María - Centro de Investigaciones Sociológicas (CIS), Madrid, Spain
  • Melin, Harri - Department of Sociology and Social Psychology, University of Tampere, Tampere, Finland
  • Gonthier, Frédéric - PACTE, Institut d´Etudes Politiques de Grenoble, Grenoble, France
  • Forsé, Michel - Centre Maurice Halbwachs, Paris, France
  • Clery, Liz - National Centre for Social Research (NatCen), London, Great Britain
  • Phillips, Miranda - National Centre for Social Research (NatCen), London, Great Britain
  • Kolosi, Tamás - TÁRKI Social Research Institute, Budapest, Hungary
  • Lewin-Epstein, Noah - B.I. and Lucille Cohen, Institute for public opinion research, Tel Aviv, Israel
  • Jónsdóttir, Guðbjörg A. - Social Science Research Institute, University of Iceland, Reykjavík, Iceland
  • Ólafsdóttir, Sigrún - Social Science Research Institute, University of Iceland, Reykjavík, Iceland
  • Aramaki, Hiroshi - NHK, Broadcasting Culture Research Institute, Public Opinion Research Division, Tokyo, Japan
  • Murata, Hiroko - NHK, Broadcasting Culture Research Institute, Public Opinion Research Division, Tokyo, Japan
  • Morones, César - Instituto de Mercadotecnia y Opinión (IMO), Zapopan, Jalisco, Mexico
  • Morán, Mauricio - Instituto de Mercadotecnia y Opinión (IMO), Zapopan, Jalisco, Mexico
  • Palacios, Felipe - Instituto de Mercadotecnia y Opinión (IMO), Zapopan, Jalisco, Mexico
  • Milne, Barry - Centre of Methods and Policy Application in the Social Sciences (COMPASS), University of Auckland, Auckland, New Zealand
  • Social Weather Stations, Quezon City, Philippines
  • Khakhulina, Ludmila - Levada-Center, Moscow, Russia
  • Edlund, Jonas - Department of Sociology, Umea University, Umea, Sweden
  • Hafner-Fink, Mitja - Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana, Ljubljana, Slovenia
  • Malnar, Brina - Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana, Ljubljana, Slovenia
  • Bahna, Miloslav - Institute for Sociology, Slovak Academy of Sciences, Bratislava, Slovakia
  • Bureekul, Thawilwadee - King Prajadhipok’s Institute, Bangkok, Thailand
  • Thananithichot, Stithorn - King Prajadhipok’s Institute, Bangkok, Thailand
  • Sangmahamad, Ratchawadee - King Prajadhipok’s Institute, Bangkok, Thailand
  • Fu, Yang-chih - Institute of Sociology, Academia Sinica, Taipei City, Taiwan
  • Blundson, Betsy - Australian Consortium for Social and Political Research Incorporated (ACSPRI), Alpinton, Australia
  • Evans, Ann - Australian National University, Melbourne, Australia
  • McEachern, Steven - Australian National University, Melbourne, Australia
  • McNeil, Nicola - La Trobe University, Melbourne, Australia
  • Lulu, Li - Renmin University of China, Beijing, China
  • Wolf, Christof - GESIS Leibniz-Institut für Sozialwissenschaften, Germany
  • Deshmukh, Yashwant R. - CVoter News Services Pvt. Ltd., Noida, India
  • Krupavičius, Algis - Vytautas Magnus University, Kaunas, Lithuania
  • Struwig, Jare - Human Sciences Research Council (HSRC), Pretoria, South Africa
  • Sno, Tamira - Anton de Kom University of Suriname, Tammenga, Suriname
  • Smith, Tom W. - National Opinion Research Center (NORC), Chicago, USA
  • Davern, Michael - National Opinion Research Center (NORC), Chicago, USA
  • Freese, Jeremy - Stanford University, Stanford, USA
  • Morgan, Stephen - Johns Hopkins University, Baltimore, USA
Contributor, Institution, Role
  • Díez-Medrano, Jaime - ASEP/JDS, Madrid, Spain - DataCurator
  • Galán Moreno, Javier - ASEP/JDS, Madrid, Spain - DataCurator
  • Brien, Petra - GESIS Leibniz-Institut für Sozialwissenschaften, Cologne, Germany - DataCurator
  • Post, Marlies - GESIS Leibniz-Institut für Sozialwissenschaften, Cologne, Germany - DataCurator
  • Cziesla, Markus - GESIS Leibniz-Institut für Sozialwissenschaften, Cologne, Germany - DataManager
  • Datenarchiv für Sozialwissenschaften GESIS Leibniz-Institut für Sozialwissenschaften, Cologne, Germany - Distributor
  • GESIS Leibniz-Institut für Sozialwissenschaften, Germany - HostingInstitution
  • Quandt, Markus - GESIS Leibniz-Institut für Sozialwissenschaften, Cologne, Germany - ProjectLeader
  • Bechert, Insa - GESIS Leibniz-Institut für Sozialwissenschaften, Cologne, Germany - ProjectManager
  • Burkart, Katharina - GESIS Leibniz-Institut für Sozialwissenschaften, Cologne, Germany - ProjectMember
  • da|ra - RegistrationAgency
  • International DOI Fundation (IDF) - RegistrationAuthority
  • Stecker, Sebastian - GESIS Leibniz-Institut für Sozialwissenschaften, Cologne, Germany - Other
  • Joye, Dominique - FORS, c/o University of Lausanne, Lausanne, Switzerland (Drafting Group: Convener) - Supervisor
  • Sapin, Marlène - FORS, c/o University of Lausanne, Lausanne, Switzerland (Drafting Group: Convener) - Supervisor
  • Wolf, Christof - GESIS Leibniz-Institut für Sozialwissenschaften, Mannheim, Germany (Drafting Group: Convener) - Supervisor
  • Bian, Yanjie - Institute for Empirical Social Science Research, Xi´an Jiaotong University, X´ian, China (Drafting Group) - Supervisor
  • Andersen, Johannes - Department of Political Science, Aalborg University, Denmark (Drafting Group) - Supervisor
  • Carkoglu, Ali - Istanbul Policy Center, Sabanci University, Istanbul, Turkey (Drafting Group) - Supervisor
  • Kalaycioglu, Ersin - Istanbul Policy Center, Sabanci University, Istanbul, Turkey (Drafting Group) - Supervisor
  • Smith, Tom W. - National Opinion Research Center (NORC) at the University of Chicago, Chicago, USA (Drafting Group) - Supervisor
  • Marsden, Peter - Department of Sociology, Harvard University, Cambridge, USA (Drafting Group) - Supervisor
  • Fu, Yang-chih - Institute of Sociology, Academia Sinica, Taipei City, Taiwan (Drafting Group) - Supervisor

Content

AbstractSocial relations and social network. Topics: People with selected jobs of different branches in circle of close friends, relatives and acquaintances (e.g. bus / lorry driver, senior executive of a large company, home or office cleaner, etc.); opinion on social justice (too large income differences in the country, differences in people´s standard of living should be small in fair societies, responsibility of the government to reduce income differences, social benefits cause laziness); responsibility for the provision of health care for the sick, and care for older people (government, private companies/ for-profit organisations, non-profit organisations/ charities/ cooperatives, religious organisations, family, relatives or friends); frequency of activities of groups for leisure, sports or culture, of politial parties, politicial groups or associations, and of charitable or religious organisations that do voluntary work; opinion on personal influence in government decisions; first contact person to ask for help in household or garden, in household when ill, in depression, in giving advice in family problems, in enjoying a pleasant social occasion with (close family member, more distant family member, close friend, neighbour, workmate, someone else, no one); contact person or organisation to borrow a large sum of money, to find a job with administrative problems or official paperwork, to find a place to live, to look after oneself if seriously ill (family members or close friends, other persons, private companies, public services, non-profit or religious organisations, other organisations, no person or organisation); frequency of feeling companionship lacking, of isolation from others, and of feeling left out (past four weeks); how often people try to take advantage and how often try to be fair; people can be trusted vs. can´t be too careful in dealing with people; trust in national courts and in major private companies; willingness to help (duty of adult children to look after their elderly parents, take care of yourself and your family first, before helping other people, people who are better off should help friends who are less well off); pressure from family members about the personal way of life; too many demands from family, relatives and friends; frequency of angry or upset reaction of important people in life. Social activities: frequency of going out with friends or acquaintances; frequency of making new friendships or acquaintances at these occasions; number of people in contact with on a typical weekday; frequency of face-to-face contacts with these people; frequency of contact with different relatives (parent, sibling, adult child, other family member), and close friend the respondent is most frequently in contact with; amount of contact with all family members and close friends via the internet; self-rating of general health status; frequency of impairments in the last 4 weeks (felt unhappy and depressed, felt difficulties unable to overcome); easy to accomplish own goals; life satisfaction. Optional questions: Friendship should be useful; favours should be reciprocated; frequency of domination of one person in conversations with friends; frequency of consideration who sits near whom at meetings with friends; frequency of contact with the person from home town or the region of origin most frequently in contact with; frequency of contact with the person from religious community most frequently in contact with. Demography: sex; age; year of birth; years in school; education (country specific); highest completed education level; work status; hours worked weekly; employment relationship; number of employees; supervision of employees; number of supervised employees; type of organisation: for-profit vs. non-profit and public vs. private; occupation (ISCO/ILO-08); main employment status; living in steady partnership; trade union membership; religious affiliation or denomination (country specific); groups of religious denominations; attendance of religious services; top-bottom self-placement; vote participation in last general election; country specific party voted for in last general election; party voted for (left-right); self-assessed affiliation to ethnic group 1 and 2 (country specific); number of children in the household; number of toddlers in the household; size of household; earnings of respondent (country specific); household income (country specific); father´s and mother´s country of birth; marital status; place of living: urban – rural; region (country specific). Additional obligatory background variables: difficulties to make ends meet from total houshold´s income; language skills: number of languages in how the respondent is able to hold a conversation. Information about spouse/ partner on: work status; hours worked weekly; employment relationship; supervision of employees; occupation (ISCO/ILO-08); main employment status. Supplementary optional background variable: highest completed education level of spouse/ partner. Additionally encoded: respondent-ID number; date of interview (year, month, day); case substitution flag; flag variable indicating partially completed interviews; mode of data collection; weight; Country ISO 3166 Code, Country/Sample ISO 3166 Code, Country Prefix ISO 3166 Code.
Categories Categories
  • Society, Culture
  • Family
Topics Topics
  • 5.8 Social behaviour and attitudes
  • 13 Social stratification and groupings
  • 13.3 Family life and marriage

Methodology

Geographic Coverage
  • Austria (AT)
  • Switzerland (CH)
  • Czech Republic (CZ)
  • Denmark (DK)
  • Spain (ES)
  • Finland (FI)
  • France (FR)
  • Great Britain (GB-GBN)
  • Croatia (HR)
  • Hungary (HU)
  • Israel (IL)
  • Iceland (IS)
  • Japan (JP)
  • Mexico (MX)
  • New Zealand (NZ)
  • Philippines (PH)
  • Russian Federation (RU)
  • Sweden (SE)
  • Slovakia (SK)
  • Slovenia (SI)
  • Thailand (TH)
  • Taiwan (TW)
  • Australia (AU)
  • China (CN)
  • Germany (DE)
  • India (IN)
  • Lithuania (LT)
  • South Africa (ZA)
  • Suriname (SR)
  • United States (US)
UniversePersons aged 18 years and older Exception: Denmark (18 to 79 years), Finland (15 to 74 years), Slovakia (16 + (no cut-off)), Suriname (21 to 74 years), and Sweden (18 to 80 years)
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability
  • Probability: Simple random
  • Probability: Systematic random
  • Probability: Stratified
  • Probability: Multistage
Probability Sample Probability Sample: Simple random Probability Sample: Systematic random Probability Sample: Stratified Probability Sample: Multistage
Mode of Collection Mode of Collection
  • Face-to-face interview
  • Face-to-face interview: Computer-assisted (CAPI/CAMI)
  • Face-to-face interview: Paper-and-pencil (PAPI)
  • Self-administered questionnaire: Web-based (CAWI)
  • Self-administered questionnaire: Paper
  • Self-administered questionnaire: Computer-assisted (CASI)
  • Telephone interview
Face-to-face interview Face-to-face interview: CAPI (Computer Assisted Personal Interview) Face-to-face interview: PAPI (Paper and Pencil Interview) Self-administered questionnaire: CAWI (Computer Assisted Web Interview) Self-administered questionnaire: Paper Self-administered questionnaire: CASI (Computer Assisted Self-Interview) Telephone interview
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
Data CollectorIFES, Vienna, Austria; M.I.S. Trend SA, Lausanne, Switzerland; GfK market research, Zagreb, Croatia; MEDIAN, s. r. o, Prague, Czech Republic; Rambøll Denmark A/S, Copenhagen, Denmark; Centro de Investigaciones Sociológicas (CIS), Madrid, Spain; Statistics Finland, Data Collection Unit, Helsinki, Finland; PACTE-CNRS, Grenoble, France; National Centre for Social Research (NatCen), London, Great Britain; TÁRKI Social Research Institute, Budapest, Hungary; B.I. and Lucille Cohen, Institute for public opinion research, Tel Aviv, Israel; Social Science Research Institute, University of Iceland, Reykjavík, Iceland; Central Research Services, Inc., Tokyo, Japan; Instituto de Mercadotecnia y Opinión (IMO), Zapopan, Jalisco, Mexico; Centre of Methods and Policy Application in the Social Sciences (COMPASS), The University of Auckland, New Zealand; Social Weather Stations, Quezon City, Philippines; Levada-Center, Moscow, Russia; SIFO, Stockholm, Sweden; Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana, Slovenia; MEDIAN SK, s. r. o, Bratislava, Slovakia; King Prajadhipok’s Institute, Bangkok, Thailand; Center for Survey Research, RCHSS, Academia Sinica, Taipei City, Taiwan; Australian Consortium for Social and Political Research Incorporated (ACSPRI), Alpington, Australia; National Survey Research Center at Renmin University of China, Beijing, China; Kantar TNS, München, Germany; CVoter News Services Pvt. Ltd., Noida, India; BALTIC SURVEYS Ltd., Vilnius, Lithuania; Human Sciences Research Council (HSRC), Pretoria, South Africa; Anton de Kom University of Suriname, Tammenga, Suriname; National Opinion Research Center (NORC), Chicago, USA
Date of Collection
  • 03.04.2018 - 15.06.2018 (Austria)
  • 20.07.2017 - 25.08.2017 (Croatia)
  • 20.09.2017 - 10.12.2017 (Czech Republic)
  • 15.05.2017 - 02.09.2017 (Denmark)
  • 20.09.2017 - 31.12.2017 (Finland)
  • 09.02.2017 - 11.09.2017 (France)
  • 10.07.2017 - 12.11.2017 (Great Britain)
  • 13.01.2017 - 23.01.2017 (Hungary)
  • 19.10.2017 - 05.06.2018 (Iceland)
  • 13.12.2017 - 05.06.2018 (Israel)
  • 28.10.2017 - 05.11.2017 (Japan)
  • 26.07.2018 - 13.08.2018 (Mexico)
  • 12.04.2017 - 22.08.2017 (New Zealand)
  • 07.04.2018 - 11.04.2018 (Philippines)
  • 12.10.2017 - 18.10.2017 (Russia)
  • 11.09.2017 - 18.10.2017 (Slovakia)
  • 14.03.2018 - 12.06.2018 (Slovenia)
  • 23.10.2017 - 22.01.2018 (Spain)
  • 10.04.2017 - 31.05.2017 (Sweden)
  • 15.02.2017 - 07.08.2017 (Switzerland)
  • 06.08.2017 - 12.12.2017 (Taiwan)
  • 01.06.2017 - 09.08.2017 (Thailand)
  • 29.05.2017 - 10.04.2018 (Australia)
  • 01.06.2017 - 31.12.2017 (China)
  • 09.04.2018 - 26.09.2018 (Germany)
  • 03.01.2019 - 07.03.2019 (India)
  • 14.07.2018 - 31.07.2018 (Lithuania)
  • 01.11.2017 - 29.01.2018 (South Africa)
  • 11.01.2018 - 21.06.2018 (Suriname)
  • 12.04.2018 - 10.11.2018 (United States)

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2019-8-19 final release - 8 countries added: Australia, China, Germany, India, Lithuania, South Africa, Suriname and USA https://doi.org/10.4232/1.13322
1.0.02019-3-18 first archive edition https://doi.org/10.4232/1.13251
Errata in current version
DateSubjectDescription
2019-8-20v59 How difficult to make ends meet from total household´s income - Hungary: Reversed answer scaleIn case of Hungary, the answer scale of Q31 included reversed categories. This has not been taken into account at the stage of data preparation by the Principal Investigator of Hungary and could unfortunately only been clarified as of today. Please run the following syntax command to meet the ISSP standard scale: Do if c_alphan=´HU´. Recode v59 (1=5)(2=4)(3=3)(4=2)(5=1). Execute.
2019-11-4v48-v52 (Q21-Q25) - Croatia: Data error In case of Croatia the values of the variables v48 (Q21 How often contact with parent most frequently in contact with?), v49 (Q22 How often contact with sibling most frequently in contact with?), v50 (How often contact with adult child most frequently in contact with?), v51 (Q24 How often contact with other family member most frequently in contact with?) and v52 (Q25 How often contact with close friend most frequently in contact with?) are mixed up in the integrated file due to an error in the original data of Croatia. You can correct the data by the following recode commands: do if c_alphan=´HR´. recode v48 to v52 (1=95) (2=96) (3=1) (4=2) (5=3) (6=4) (7=5) (8=6) (95=7) (96=8). end if. exe.
2019-11-20SPMAINST (Spouse, partner: main status) - Slovakia: Data errorIn case of Slovakia, code 8 and 9 of SPMAINST don´t include the observations of the harmonized ISSP answer categories due to an error in the original data of Slovakia. Please run the following syntax command to correct this: Do if c_alphan=´SK´. Recode SPMAINST (8=9) (9=99) (else=copy). Execute.
2019-12-12SPMAINST (Spouse, partner: main status) - Germany: Data errorFor Germany, categories 9 ´Other´ and 99 ´No answer´ are mixed. This can be fixed by the following recode command (SPSS): do if country=276. recode SPMAINST (9=99). end if. execute. if (CASEID=201727601001653 or CASEID=201727602000365) SPMAINST=9. execute.
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2019-5-22v54 Health status in general - Hungary: Reversed answer scaleIn case of Hungary, the answer scale of Q27 included reversed categories (1. Very bad; 2. Bad; 3. Satisfactory; 4. Good; 5. Very good). This has not been taken into account at the stage of data preparation by the Principal Investigator of Hungary. Please run the following syntax command: Do if c_alphan=´HU´. Recode v54 (1=5)(2=4)(3=3)(4=2)(5=1). Execute. to better meet the ISSP standard scale (1. Excellent; 2. Very good; 3. Good; 4. Fair; 5. Poor).2019-8-19Fixed.

Further Remarks

NotesNumber of respondents for each country, first release: Austria: 1200; Croatia: 1026; Czech Republic: 1405; Denmark: 1079; Finland: 1074; France: 1489; Great Britain: 1595; Hungary: 1007; Iceland: 1450; Israel: 1267; Japan: 1609; Mexico: 1002; New Zealand: 1357; Philippines: 1200; Russia: 1559; Slovakia: 1404; Slovenia: 1047; Spain: 1733; Sweden: 1125; Switzerland: 1066; Taiwan: 1955; Thailand: 1500 Number of respondents for each country, final release: Australia: 1317; China: 4219; Germany: 1701; India: 1510; Lithuania: 1052; South Africa: 3098; Suriname: 1273; United States: 1173
Number of Units: 44492
Number of Variables: 356
Analysis System(s): SPSS, Stata

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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: Social Networks
    ‘Social Networks’ is one of the eleven ISSP topic modules. ISSP Social Networks modules essentially deal with issues, such as nature and contacts with family members and friends, participation in associations and groups, duties and rights in social networks and social trust. Since the thematic focus has changed across years and these modules only share the basic idea of measuring social networks, they are not being regarded as replicated ISSP modules.