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?:citationString
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The Comparative Study of Electoral Systems (2018): CSES Module 4 Full Release. GESIS Data Archive, Cologne. ZA5182 Data file Version 5.0.0, doi:10.7804/cses.module4.2018-05-29
(en)
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The Comparative Study of Electoral Systems (2018): CSES Module 4 Full Release. GESIS Datenarchiv, Köln. ZA5182 Datenfile Version 5.0.0, doi:10.7804/cses.module4.2018-05-29
(de)
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Factor: Mean of sample weight
(en)
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VARIABLE NOTES: D1011
These variables report the mean weight of each type, within each polity (election study). The resulting factors are then used to create the derivative "Polity Weights" in variables D1012_1 through D1012_3.
To follow is the STATA code used to create variables D1011_1, D1011_2, and D1011_3:
forvalues i=1/3 { foreach x of local elec { su D1010_`i' if D1004=="`x'" replace D1011_`i' = r(mean) if D1004=="`x'" } }
The STATA code to create the derivative variables in the CSES dataset was run on the original, unrounded version of the original weight variables (D1010_1-D1010_3). Thereafter the derivative variables were rounded to four decimal places at maximum (i.e. 1.1234) using STATA.
It is due to this rounding that the mean values of derivative weight variables D1011_1-D1011_3 for individual election studies and for the full dataset are close to, but not necessarily exactly equal to, 1.0000.
(en)
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VARIABLE NOTES: D1011
These variables report the mean weight of each type, within each polity (election study). The resulting factors are then used to create the derivative "Polity Weights" in variables D1012_1 through D1012_3.
To follow is the STATA code used to create variables D1011_1, D1011_2, and D1011_3:
forvalues i=1/3 { foreach x of local elec { su D1010_`i' if D1004=="`x'" replace D1011_`i' = r(mean) if D1004=="`x'" } }
The STATA code to create the derivative variables in the CSES dataset was run on the original, unrounded version of the original weight variables (D1010_1-D1010_3). Thereafter the derivative variables were rounded to four decimal places at maximum (i.e. 1.1234) using STATA.
It is due to this rounding that the mean values of derivative weight variables D1011_1-D1011_3 for individual election studies and for the full dataset are close to, but not necessarily exactly equal to, 1.0000.
(de)
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?:groupDescription
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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)
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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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Englisch
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English
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D1011_1
(xsd:string)
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D1011_1 -
(de)
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D1011_1 - FACTOR: MEAN OF SAMPLE WEIGHT
(en)
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FACTOR: MEAN OF SAMPLE WEIGHT
(en)
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FACTOR: MEAN OF SAMPLE WEIGHT
(de)
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GESIS-ExploreData
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Comparative Study of Electoral Systems (CSES)
(de)
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Comparative Study of Electoral Systems (CSES)
(en)
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rdf:type
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FACTOR: MEAN OF SAMPLE WEIGHT
(en)
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FACTOR: MEAN OF SAMPLE WEIGHT
(de)
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