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ZA3430: International Social Survey Programme: Social Inequality III - ISSP 1999

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International Social Survey Programme 1999: Social Inequality III (ISSP 1999)
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Bibliographic Citation

Citation Citation    ISSP Research Group (2002): International Social Survey Programme: Social Inequality III - ISSP 1999. GESIS Data Archive, Cologne. ZA3430 Data file Version 1.0.0, https://doi.org/10.4232/1.3430
Study No.ZA3430
TitleInternational Social Survey Programme: Social Inequality III - ISSP 1999
Current Version1.0.0, 2010-4-13, https://doi.org/10.4232/1.3430 (Publication Year 2002)
Date of Collection10.1998 - 09.2001
Principal Investigator/ Authoring Entity, Institution
  • Kelley, Jonathan - Melbourne Institute for Applied Economic and Social Research University of Melbourne, Australia
  • Evans, Mariah - Melbourne Institute for Applied Economic and Social Research University of Melbourne, Australia
  • Zagórski, Krzysztof - Melbourne Institute for Applied Economic and Social Research
  • Haller, Max - Institut für Soziologie, Karl-Franzens-Universität Graz, Austria
  • Hadler, Markus - Institut für Soziologie, Karl-Franzens-Universität Graz, Austria
  • Dimova, Lilia - Agency for Social Analyses, Sofia, Bulgaria
  • Carleton University Survey Centre, Canada
  • Lehmann, Carla - Centro de Estudios Públicos, Santiago, Chile
  • Papageorgioú, Bambos - Centre of Applied Research, Nicosia, Cyprus
  • Institute of Sociology, Academy of Sciences of the Czech Republic, Prague
  • Forsé, Michel - France
  • Lemel, Yannick - France
  • Harkness, Janet - ZUMA, Mannheim, Germany
  • Mohler, Peter Ph. - ZUMA, Mannheim, Germany
  • Jowell, Roger - National Centre for Social Research, London, Great Britain
  • Park, Alison - National Centre for Social Research, London, Great Britain
  • Thomson, Katarina - National Centre for Social Research, London, Great Britain
  • Jarvis, Lindsey - National Centre for Social Research, London, Great Britain
  • Bromley, Catherine - National Centre for Social Research, London, Great Britain
  • Stratford, Nina - National Centre for Social Research, London, Great Britain
  • Róbert, Péter - TÁRKI RT - Social Research Center, Hungarian Science Foundation (OTKA)
  • Lewin-Epstein, Noah - Israel
  • Yuchtman-Yaar, Eppie - Israel
  • Onodera, Noriko - Japan
  • Tabuns, Aivars - University of Latvia, Riga, Latvia
  • Koroleva, Ilze - University of Latvia, Riga, Latvia
  • Gendall, Philip - Massey University, Department of Marketing, Palmerston North, New Zealand
  • Leiulfsrud, Håkon - Department of Sociology and Political Science, Norwegian University of Science and Technology, Trondheim
  • Halvorsen, Knut - Oslo University College
  • Skjåk, Knut K. - Norwegian Social Science Data Services
  • Social Weather Stations, Inc. (SWS), Philippines
  • Cichomski, Bogdan - Institute for Social Studies, University of Warsaw, Poland
  • Villaverde Cabral, Manuel - Instituto de Ciências Sociais da Universidade de Lisboa, Portugal
  • Vala, Jorge - Instituto de Ciências Sociais da Universidade de Lisboa, Portugal
  • Khakhulina, Ludmila - Russia
  • Institute for Sociology of the Slovak Academy of Sciences
  • Institute for Public Opinion Research at the Statistical Office of Slovak Republic
  • Tos, Niko - Public Opinion and Mass Communication Research Centre, Ljubljana, Slovenia
  • Diez-Nicolás, Juan - ASEP, S.A., Spain
  • Svallfors, S. - Department of Sociology, Umea University, Sweden
  • Edlund, Jonas - Department of Sociology, Umea University, Sweden
  • Davis, James A. - National Opinion Research Center (NORC), USA
  • Smith, Tom W. - National Opinion Research Center (NORC), USA
  • Marsden, Peter V. - National Opinion Research Center (NORC), USA

Content

AbstractAttitude to social inequality. Topics: Social background and good relations as most important prerequisites for success in the society; most important criteria for social mobility (scale: personal effort, intelligence or corruption); reasons for and acceptance of social inequality; Self-assessment of payment suitable for performance; estimation of actual and adequate monthly income for occupational groups; responsibility of government to reduce income differences; attitude to a progressive tax rate; assessment of the economic differences between poor and rich countries; attitude towards compensation by additional taxes in the wealthy countries (Redistribution); justification of better medical supply and better education for people with higher income; assumption of conflicts between social groups in the country; self-assessment on a top-bottom-scale and expectation of the individual level in 10 years; social mobility; criteria for the classification of payment for work (scale: responsibility, education, supervisor function, needed support for family and children or quality of job performance); feeling of a just payment; characterisation of the actual and the desired social system of the country, measured by classification on pyramid diagrams; Self-assessment of the respondent as well as classification of an unskilled factory worker and a chairman of a large corporation on a top-bottom-scale; number of books in the parental home in the respondent’s youth. Demography: Age; gender; living together with a partner; marital status; school education; denomination; occupation status; profession (ISCO code); occupation in the public sector; autonomy; working hours per week; net income of the respondent; supervisor function; occupation status as well as profession and supervisor function of the partner; household structure; family income; size of household; city size; region; unemployment within the last few years and duration of unemployment; religiousness; frequency of church attendance; forms of the faith in God; Self-assessment of the social class; union membership; party preference; participation in elections; living situation and living status; in some countries: ethnic membership of the respondent.
Categories Categories
  • Society, Culture
Topics Topics
  • 13 Social stratification and groupings
  • 13.5 Equality and inequality

Methodology

Geographic Coverage
  • Australia (AU)
  • Bulgaria (BG)
  • Chile (CL)
  • Germany (DE)
  • France (FR)
  • Great Britain (GB-GBN)
  • Israel (IL)
  • Japan (JP)
  • Canada (CA)
  • Latvia (LV)
  • New Zealand (NZ)
  • Northern Ireland (GB-NIR)
  • Norway (NO)
  • Austria (AT)
  • Philippines (PH)
  • Poland (PL)
  • Portugal (PT)
  • Russian Federation (RU)
  • Sweden (SE)
  • Slovakia (SK)
  • Spain (ES)
  • Czech Republic (CZ)
  • Hungary (HU)
  • United States (US)
  • Cyprus (CY)
  • Slovenia (SI)
UniverseAge: 18 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
Oral and paper and pencil interviews with standardised questionnaire
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
Data CollectorAustralia: Research School of Social Sciences, Institute of Advanced Studies, Australian National University; Datacol, Canberra; Austria: Institute for Empirical Social Research (IFES), Vienna; Cyprus: Car, Cyprus college; Germany: Infratest, Munich; Hungary: TÁRKI RT; Norway: Opinion AS; Philippines_ Social Weather Stations; Poland: Public Opinion Research Center; Portugal: Instituto Nacional de Estatística; Russia: VCIOM, Moskow; Slovenia: Public Opinion and Mass Communication Research Centre (CJMMK), Ljubljana; Spain: INTERCAMPO; Sweden: SIFO; USA: National Opinion Research Center (NORC), University of Chicago; Bulgaria: no information available; Canada: Carleton University Survey Center, Ottawa; Chile: Centro de Estudios Públicos (CEP), Santiago; Czech Republic: STEM, Center for Empirical Studies, Prague; France: no information available; Great Britain: National Centre for Social Research (NatCen), London; Hungary: TARKI, Budapest; Israel: no information available; Japan: NHK, Tokyo; Latvia: Institute of Philosophy and Sociology, University of Latvia; New Zealand: Department of Marketing, Massey University, Palmerston North; Norway: Opinion AS; Philippines: Social Weather Stations, Quezon City; Portugal: Instítúto Nacional de Estatistica; Slovakia: no information available
Date of Collection
  • 10.1998 - 09.2001 (Australia: November 1999 - March 2000 Austria: October 2000 - November 2000 Bulgaria: July 1999 - September 1999 Canada: 01. December 1999 - 01. March 2000 Chile: 18. March 2000 - 04. April 2000 Cyprus: 01. July 1999 - 15. September 1999 Czech Republic: 18. January 1999 - 24. February 1999 France: October 1999 Germany: 18. January 2000 - 31. July 2000 Great Britain: June 1999 - November 1999 Hungary: 19. November 1998 - 28. November 1998 Israel: in 1999 (3 months) Japan: 26. November 1999 - 06. December 1999 Latvia: 12. December 1999 - 30. December 1999 New Zealand: 27. May 1999 - 30. August 1999 Northern Ireland: 07. October 1999 - 14. January 2000 Norway: September 1999 - November 1999 Philippines: 27. November 1999 - 15. December 1999 Poland: November 1999 - December 1999 Portugal: May 1999 - June 1999 Russia: 25. March 1999 - 14. April 1999 Slovakia: 11. September 2001 - 24. September 2001 Slovenia: October 1998 Spain: 08. November 1999 - 12. November 1999 Sweden: February 1999 - June 1999 USA: February 2000 - June 2000)

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2010-4-13 Version number created automatically (implementation of a uniform versioning policy) https://doi.org/10.4232/1.3430 (Publication Year unknown)
Errata in current version
DateSubjectDescription
2012-10-19RELIG (religious denomination) - Germany: Coding errorGerman people with ´No religious denomination´ are included in Code 99 ´No answer´. In SPSS, you can revise this with the two following recode commands: 1. Do if v3=2 or v3=3. Recode relig (99=90). End if. Exe. 2. Do if v2=12213 or v2=20407 or v2=45201 or v2=56104 or v2=56409 or v2=68205 or v2=108413. Recode relig (90=99). End if. Exe.
2013-6-6NWRKSUP (R: Supervise - how many) - Australia: Coding errorAll Australian cases were coded as code 99 ( 99 employees) and should be recoded to code 0 (Not asked/ Not available), since this variable is not available for Australia.
2015-1-12isco88_4 (R: Occupation ISCO - 4 digits) - Germany: Data revisionFor Germany, variable ´isco88_4´ unintentionally includes information on respondent´s present job only and no information on his last if he is currently not in paid work. A revised variable that includes both information can be provided on request: isspservice@gesis.org.
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

Further Remarks

NotesBrazil, Denmark, Ireland, Netherlands and Switzerland: the datasets were not integrated into the international file. For detailed information see under the ZA-study-Nos. 3558 (Brazil), 3562 (Denmark), 3613 (Ireland), 3293 (Netherlands) and 3297 (Switzerland).
Number of Units: 32178
Number of Variables: 141
Data Type: -
Analysis System(s): -

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: Social Inequality
    ‘Social Inequality’ is one of the eleven ISSP topic modules. Central themes are issues, such as attitudes towards income inequality, views on earnings and incomes, legitimation of inequality, career advancement by means of family background and networks, social cleavages and conflict among groups, and the current and past social position.