International Social Survey Programme 2009: Social Inequality IV (ISSP 2009)

• Main Authors: Jorrat, Jorge Raúl, Hadler, Markus, Haller, Max, Evans, Ann, Hout, Michael, Marsden, Peter V., Smith, Tom W., Kalaycıoğlu, Ersin, Malnar, Brina, Hafner-Fink, Mitja, Ramos, Alice, Vala, Jorge, Cichomski, Bogdan, Mortensen, Anne K., Kolsrud, Kirstine, Skjåk, Knut K., Gendall, Philip, Koroleva, Ilze, Aramaki, Hiroshi, Tabuns, Aivars, Nishi, Kumiko, Hara, Miwako, Lewin-Epstein, Noah, Park, Alison, Robert, Peter, Lemel, Yannick, Forsé, Michel, Melin, Harri, Blom, Raimo, Carton, Ann, Pashkov, Marii, Täht, Kadri, Helemäe, Jelena, Jæger, Mads, Fridberg, Torben, Lüchau, Peter, Kjær, Ulrik, Gundelach, Peter, Harrits, Gitte S., Andersen, Jørgen G., Clement, Sanne L., Matějů, Petr, Simonová, Natalie, Papageorgiou, Bambos, Li, Lulu, Bian, Yanjie, Segovia, Carolina, Toš, Niko, Struwig, Jare, Kim, Sang-Wook, Diez-Nicholas, Juan, Edlund, Jonas, Svallfors, Stefan, Joye, Dominique, Chang, Ying-hwa, Paniotto, Volodimir, Makejev, S., Ólafsdóttir, Sigrún, Khakhulina, Ludmilla, Çarkoğlu, Ali, Bernburg, Jón Gunnar, Wolf, Christof, Institute for Sociology of Slovak Academy of Sciences, Bratislava, Slovakian Republic, Social Weather Stations, Quezon City, Philippines, Institute for Social Research, Zagreb, Croatia, Agency for Social Analyses (ASA), Bulgaria
• Other Authors: Argentinien: Cualitativo y Cuantitativo, Argentina: Cualitativo y Cuantitativo, Australien: Academic Surveys Australia, Black Rock, Melbourne, Australia: Academic Surveys Australia, Black Rock, Melbourne, Österreich: Institute for Empirical Social Research (IFES), Wien, Austria: Institute for Empirical Social Research (IFES), Vienna, Bulgarien: ProField Data Partners, Bulgaria: ProField Data Partners, Chile: ICCOM, Santiago, China: ACSR-Millward Brown, Kroatien: Institute for Social Research, Zagreb, Croatia: Institute for Social Research, Zagreb, Zypern: Center of Applied Research, Cyprus College, Nicosia (field time unknown), Cyprus: Center of Applied Research, Cyprus College, Nicosia (field time unknown), Tschechische Republik: SC&C spol. s r. o., Czech Republic: SC&C spol. s r. o., Dänemark: SFI SURVEY, Kopenhagen, Denmark: SFI SURVEY, Copenhagen, Estland: Turu-uuringute AS, Estonia: Turu-uuringute AS, Flandern (Belgien): TNS Dimarso, Brussels, Flanders (Belgium): TNS Dimarso, Brussels, Finnland: Statistics Finland, Social Survey Unit, Helsinki, Finland: Statistics Finland, Social Survey Unit, Helsinki, Frankreich: FRANCE-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff, France: FRANCE-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff, Deutschland: TNS Infratest, München, Germany: TNS Infratest, Munich, Großbritannien: National Centre for Social Research (NatCen), London, Great Britain: National Centre for Social Research (NatCen), London, Ungarn: TÁRKI Social Research Institute, Budapest, Hungary: TÁRKI Social Research Institute, Budapest, Island: The Social Science Research Institute, University of Iceland, Reykjavík, Iceland: The Social Science Research Institute, University of Iceland, Reykjavík, Israel: B.I. and Lucille Cohen, Institute for public opinion research, Tel Aviv, Japan: Central Research Services, Tokyo, Lettland: Institute of Philosophy and Sociology, University of Latvia, Latvia: Institute of Philosophy and Sociology, University of Latvia, Neuseeland: Department of Communication, Journalism and Marketing, Massey University, Palmerston North, New Zealand: Department of Communication, Journalism and Marketing, Massey University, Palmerston North, Norwegen: Statistics Norway, Norway: Statistics Norway, Philippinen: Social Weather Stations, Quezon City, Philippines: Social Weather Stations, Quezon City, Polen: Public Opinion Research Center (CBOS), Warsaw, Poland: Public Opinion Research Center (CBOS), Warsaw, Portugal: Instituto de Ciências Sociais da Universidade de Lisboa, Russland: Analytic Levada Center ( Levada-Center), Moscow, Russia: Analytic Levada Center ( Levada-Center), Moscow, Slowakische Republik: FOCUS, Bratislava
• Format: Dataset
• Language: English
• Published: GESIS Data Archive 2011
• Subjects: Social Policy; Argentina; New Zealand; Norway; Pyramid; Russland; Iceland
• Online Access: https://doi.org/10.4232/1.10736

Social inequality.Themes: Importance of social background, merit, discrimination,corruption and good relations as prerequisites for success in society(wealthy family, well-educated parents, good education, ambitions, hardworking, knowing the right people, political connections, givingbribes, person´s race and religion, gender); attitude towards equalityof educational opportunity in one´s country (corruption as criteria forsocial mobility, only students from the best secondary schools have agood chance to obtain a university education, only rich people canafford the costs of attending university, same chances for everyone toenter university, regardless of gender, ethnicity or socialbackground); opinion about own salary: actual occupational earning isadequate; estimation of actual and reasonable earnings for occupationalgroups: doctor, chairman of a large national corporation, shopassistant, unskilled worker in a factory, cabinet minister in thenational government; income differences are too large in therespondent´s country; responsibility of government to reduce incomedifferences; government should provide a decent standard of living forthe unemployed and spend less on benefits for poor people; demand forhigher taxes for people with high incomes; opinion on taxes for peoplewith high income; justification of better medical supply and bettereducation for people with higher income; perception of class conflictsbetween social groups in the country (poor and rich people, workingclass and middle class, management and workers, people at the top ofsociety and people at the bottom); self-assessment and assessment ofthe family the respondent grew up in on a top-bottom-scale; socialposition compared to father (social mobility); salary criteria (scale:responsibility, education, needed support for family and children,quality of job performance or hard work at the job); feeling of a justpayment; characterisation of the actual and the desired social systemof the country, measured by classification on pyramid diagrams (imageof society).Demography: sex; age; marital status; steady life partner; years ofschooling; highest education level; country specific education anddegree; current employment status (respondent and partner); hoursworked weekly; occupation (ISCO 1988) (respondent and partner);supervising function at work; working for private or public sector orself-employed (respondent and partner); if self-employed: number ofemployees; trade union membership; earnings of respondent (countryspecific); family income (country specific); size of household;household composition; party affiliation (left-right); country specificparty affiliation; participation in last election; religiousdenomination; religious main groups; attendance of religious services;self-placement on a top-bottom scale; region (country specific); sizeof community (country specific); type of community: urban-rural area;country of origin or ethnic group affiliation; occupation status andprofession of respondent´s father and mother during the youth of therespondent (ISCO 88); number of books in the parental home during theyouth of the respondent (cultural resources); occupational status andprofession in the first job and the current job (ISCO 88 and workingtype); self-assessment of the social class; estimated amount of familywealth (monetary value of assets); work orientation:self-characterisation at this time and in the youth of the respondentconcerning his performance at work respectively at school. Additionally coded: administrative mode of data-collection; weightingfactor; case substitution. Sampling procedures differ for the individual countries: partly simple, partly multi-stage stratified random samples