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  • The Comparative Study of Electoral Systems (2015): CSES Module 2 Full Release. GESIS Data Archive, Cologne. ZA5180 Data file Version 6.0.0, doi:10.7804/cses.module2.2015-12-15 (en)
  • The Comparative Study of Electoral Systems (2015): CSES Module 2 Full Release. GESIS Datenarchiv, Köln. ZA5180 Datenfile Version 6.0.0, doi:10.7804/cses.module2.2015-12-15 (de)
?:comment
  • Election Study Notes on Module 2 (ZA5180) (en)



  • FOR COUNTRY SPECIFIC INFORMATION

    see Election Study Notes (en)
  • NOTES: B1012
    See also variable and election study notes for B1010-B1011.
    These variables report standardized versions (with a mean 1 within the polity) of the original weights provided with the component election studies, described in B1010. They are the ratio of each weighting factor to the mean weight (B1011) of each type, calculated within each polity.
    The derivative "Polity Weight" (B1012) has been created so that for each weight (sample, demographic, political), each respondent within the election study has a mean weight of "1". If you are running a frequency, for instance, this weight will work so that the N in your frequency table comes out to approximately the same as the number of interviews in the study. This derivative weight is created by dividing the individual weight for each respondent within an election study by the mean for that weight for all respondents in that election study.

    To follow is the SPSS code used to create variables B1012_1, B1012_2, and B1012_3:
    Compute B1012_1=B1010_1 / B1011_1.
    Compute B1012_2=B1010_2 / B1011_2.
    Compute B1012_3=B1010_3 / B1011_3.
    (de)
  • NOTES: B1012
    See also variable and election study notes for B1010-B1011.
    These variables report standardized versions (with a mean 1 within the polity) of the original weights provided with the component election studies, described in B1010. They are the ratio of each weighting factor to the mean weight (B1011) of each type, calculated within each polity.
    The derivative "Polity Weight" (B1012) has been created so that for each weight (sample, demographic, political), each respondent within the election study has a mean weight of "1". If you are running a frequency, for instance, this weight will work so that the N in your frequency table comes out to approximately the same as the number of interviews in the study. This derivative weight is created by dividing the individual weight for each respondent within an election study by the mean for that weight for all respondents in that election study.

    To follow is the SPSS code used to create variables B1012_1, B1012_2, and B1012_3:
    Compute B1012_1=B1010_1 / B1011_1.
    Compute B1012_2=B1010_2 / B1011_2.
    Compute B1012_3=B1010_3 / B1011_3.
    (en)
  • Polity Weight: Demographic
    (en)
?:dateCreated
  • 2015 (xsd:gyear)
?:dateModified
  • 2001-01-01 (xsd:date)
?:endDate
  • 2001 (xsd:gyear)
?:groupDescription
  • CSES is a collaborative program of research among election study teams from around the world. The research program as well as the questionnaire and the study design are developed by an international committee of leading social researchers. Participating countries include a common module of survey questions in their post-election studies. The data contain information on individual choice behavior, demographics, the constituencies, the national election results and the political systems. The studies are then merged into a single, free, public dataset for use in comparative study and cross-level analysis. (en)
  • Die CSES ist eine weltweite Kooperation von Wahlforschern. Das Forschungsprogramm, der Fragebogen und das Studiendesign werden durch ein internationales Planungskomitee führender Sozialforscher erstellt. Teilnehmende Länder implementieren einen einheitlichen Fragenkomplex in ihre Nachwahlstudien. Die erhoben Daten umfassen das individuelle Wahlverhalten, politische Einstellungen und sozio-demographische Merkmale sowie Angaben zu den Wahlbezirken, den nationalen Wahlergebnissen und dem nationalen politischen System. Die einzelnen Länderstudien werden in einen gemeinsamen Datensatz integriert und stehen der Wissenschaft für vergleichende und länderübergreifende Untersuchungen frei zur Verfügung. (de)
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  • true (xsd:boolean)
is ?:hasPart of
?:inLanguage
  • Englisch (de)
  • English (en)
?:linksGroup
?:locationsId
  • AL (xsd:string)
  • AU (xsd:string)
  • BE (xsd:string)
  • BG (xsd:string)
  • BR (xsd:string)
  • CA (xsd:string)
  • CH (xsd:string)
  • CL (xsd:string)
  • CZ (xsd:string)
  • DE (xsd:string)
  • DK (xsd:string)
  • ES (xsd:string)
  • FI (xsd:string)
  • FR (xsd:string)
  • GB-GBN (xsd:string)
  • HK (xsd:string)
  • HU (xsd:string)
  • IE (xsd:string)
  • IL (xsd:string)
  • IS (xsd:string)
  • IT (xsd:string)
  • JP (xsd:string)
  • KG (xsd:string)
  • KR (xsd:string)
  • MX (xsd:string)
  • NL (xsd:string)
  • NO (xsd:string)
  • NZ (xsd:string)
  • PE (xsd:string)
  • PH (xsd:string)
  • PL (xsd:string)
  • PT (xsd:string)
  • RO (xsd:string)
  • RU (xsd:string)
  • SE (xsd:string)
  • SI (xsd:string)
  • TW (xsd:string)
  • US (xsd:string)
?:name
  • B1012_2 (xsd:string)
  • B1012_2 - (de)
  • B1012_2 - POLITY WEIGHT: DEMOGRAPHIC (en)
  • POLITY WEIGHT: DEMOGRAPHIC (de)
  • POLITY WEIGHT: DEMOGRAPHIC (en)
?:relatedDataset
?:sourceInfo
  • GESIS-ExploreData (xsd:string)
?:spatialCoverage
?:startDate
  • 2001 (xsd:gyear)
?:studyGroup
  • Comparative Study of Electoral Systems (CSES) (de)
  • Comparative Study of Electoral Systems (CSES) (en)
rdf:type
?:variableLabel
  • POLITY WEIGHT: DEMOGRAPHIC (en)
  • POLITY WEIGHT: DEMOGRAPHIC (de)
?:variableName
  • B1012_2 (xsd:string)