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Election Study Notes on Module 3 (ZA5181)
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FOR COUNTRY SPECIFIC INFORMATION
see Election Study Notes
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POLITY NAME (ELEC YEAR) |
Sample Weight |
Demog Weight |
Political Weight |
No Weight Provided |
AUSTRALIA (2007) |
|
|
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AUS_2007 |
AUSTRIA (2008) |
|
AUT_2008 |
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BELARUS (2008) |
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BLR_2008 |
BRAZIL (2006) |
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BRA_2006 |
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BRAZIL (2010) |
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BRA_2010 |
CANADA (2008) |
CAN_2008 |
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|
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CHILE (2009) |
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CHL_2009 |
|
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CROATIA (2007) |
|
HRV_2007 |
HRV_2007 |
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CZECH REPUBLIC (2006) |
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CZE_2006 |
CZECH REPUBLIC (2010) |
|
|
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CZE_2010 |
DENMARK (2007) |
DNK_2007 |
|
|
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ESTONIA (2011) |
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EST_2011 |
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FINLAND (2007) |
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FIN_2007 |
FINLAND (2011) |
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FIN_2011 |
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FRANCE (2007) |
FRA_2007 |
FRA_2007 |
FRA_2007 |
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GERMANY (2005) |
DEU_2005 |
DEU_2005 |
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GERMANY (2009) |
DEU_2009 |
DEU_2009 |
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GREECE (2009) |
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GRC_2009 |
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HONG KONG (2008) |
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HGK_2008 |
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ICELAND (2007) |
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ISL_2007 |
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ICELAND (2009) |
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ISL_2009 |
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IRELAND (2007) |
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IRL_2007 |
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ISRAEL (2006) |
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ISR_2006 |
JAPAN (2007) |
JPN_2007 |
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LATVIA (2010) |
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LVA_2010 |
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MEXICO (2006) |
MEX_2006 |
MEX_2006 |
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MEXICO (2009) |
MEX_2009 |
MEX_2009 |
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NETHERLANDS (2006) |
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NLD_2006 |
NLD_2006 |
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NETHERLANDS (2010) |
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NLD_2010 |
NLD_2010 |
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NEW ZEALAND (2008) |
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NZL_2008 |
NZL_2008 |
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NORWAY (2005) |
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NOR_2005 |
NORWAY (2009) |
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NOR_2009 |
PERU (2011) |
PER_2011 |
PER_2011 |
PER_2011 |
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PHILIPPINES (2010) |
PHL_2010 |
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POLAND (2005) |
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POL_2005 |
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POLAND (2007) |
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POL_2007 |
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PORTUGAL (2009) |
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PRT_2009 |
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ROMANIA (2009) |
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ROM_2009 |
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SLOVAKIA (2010) |
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SVK_2010 |
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SLOVENIA (2008) |
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SVN_2008 |
SOUTH AFRICA (2009) |
ZAF_2009 |
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SOUTH KOREA (2008) |
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KOR_2008 |
SPAIN (2008) |
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ESP_2008 |
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SWEDEN (2006) |
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SWE_2006 |
SWITZERLAND (2007) |
CHE_2007 |
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CHE_2007 |
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TAIWAN (2008) |
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TWN_2008 |
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THAILAND (2007) |
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THA_2007 |
TURKEY (2011) |
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TUR_2011 |
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UNITED STATES (2008) |
USA_2008 |
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URUGUAY (2009) |
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URY_2009 |
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A5_2.
Original Weight: Demographic
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NOTES: C1010
These variables report the original weights provided with the respective deposited data files.
Sample weights include those intended to correct for unequal selection probabilities resulting from "booster" samples, procedures for selection within the household, non-response, as well as other features of the sample design.
Demographic weights adjust sample distributions of socio-demographic characteristics to more closely resemble the characteristics of the population.
Political weights reconcile discrepancies in the reported electoral behavior of the survey respondents from the official vote counts.
In cases where a collaborator provides a single weight that is a combination of one or more of the three weight categories (sample, demographic, and political), the weight is duplicated in the two or more appropriate variables. Thus, analysts using two or more of the weights simultaneously will need to account for this duplication.
Use of weights is at the discretion of the analyst based upon the considerations of her/his individual research question. We recommend that analysts familiarize themselves with the weights, their components, and their methods of creation before applying them.
Additionally, analysts will want to keep in mind that these weights are prepared to be election study weights, not country weights. To convert the weights to country weights requires an adjustment for those countries for which one or more polities or election studies appear in the dataset.
Where a weight of a particular type is not available, these variables are coded 1.
Collaborators provided the original weights with a varying number of decimal places. In this CSES dataset, however, all of the original weights have been rounded to four decimal places at maximum (i.e. 1.1234) using STATA.
Table: Summary of Election Study Weights, by Type of Weight.
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NOTES: C1010
These variables report the original weights provided with the respective deposited data files.
Sample weights include those intended to correct for unequal selection probabilities resulting from "booster" samples, procedures for selection within the household, non-response, as well as other features of the sample design.
Demographic weights adjust sample distributions of socio-demographic characteristics to more closely resemble the characteristics of the population.
Political weights reconcile discrepancies in the reported electoral behavior of the survey respondents from the official vote counts.
In cases where a collaborator provides a single weight that is a combination of one or more of the three weight categories (sample, demographic, and political), the weight is duplicated in the two or more appropriate variables. Thus, analysts using two or more of the weights simultaneously will need to account for this duplication.
Use of weights is at the discretion of the analyst based upon the considerations of her/his individual research question. We recommend that analysts familiarize themselves with the weights, their components, and their methods of creation before applying them.
Additionally, analysts will want to keep in mind that these weights are prepared to be election study weights, not country weights. To convert the weights to country weights requires an adjustment for those countries for which one or more polities or election studies appear in the dataset.
Where a weight of a particular type is not available, these variables are coded 1.
Collaborators provided the original weights with a varying number of decimal places. In this CSES dataset, however, all of the original weights have been rounded to four decimal places at maximum (i.e. 1.1234) using STATA.
Table: Summary of Election Study Weights, by Type of Weight.
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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.
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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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