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Polity weight: Political
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VARIABLE NOTES: D1012
See also Variable and Election Study Notes for D1010-D1011.
These variables report standardized versions (with a mean 1 within the polity) of the original weights provided with the component election studies, described in D1010. They are the ratio of each weighting factor to the mean weight (D1011) of each type, calculated within each polity.
The derivative "Polity Weight" (D1012) 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 STATA code used to create variables D1012_1, D1012_2, and D1012_3:
gen D1012_1 = D1010_1 / D1011_1
gen D1012_2 = D1010_2 / D1011_2
gen D1012_3 = D1010_3 / D1011_3
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 D1012_1-D1012_3 for individual election studies and for the full dataset are close to, but not necessarily exactly equal to, 1.0000.
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VARIABLE NOTES: D1012
See also Variable and Election Study Notes for D1010-D1011.
These variables report standardized versions (with a mean 1 within the polity) of the original weights provided with the component election studies, described in D1010. They are the ratio of each weighting factor to the mean weight (D1011) of each type, calculated within each polity.
The derivative "Polity Weight" (D1012) 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 STATA code used to create variables D1012_1, D1012_2, and D1012_3:
gen D1012_1 = D1010_1 / D1011_1
gen D1012_2 = D1010_2 / D1011_2
gen D1012_3 = D1010_3 / D1011_3
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 D1012_1-D1012_3 for individual election studies and for the full dataset are close to, but not necessarily exactly equal to, 1.0000.
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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.
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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.
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