GESIS - DBK - ZA5301
 

ZA5301: Post-election Cross Section (GLES 2009)

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  • ZA5301_de_RecodeMissings_v4-0-2.do (Dataset) 6 KBytes
  • ZA5301_de_RecodeMissings_v4-0-2.sps (Dataset) 23 KBytes
  • ZA5301_de_v4-0-2.dta (Dataset Stata) 3 MBytes
  • ZA5301_de_v4-0-2.sav (Dataset SPSS) 6 MBytes
  • ZA5301_en_RecodeMissings_v4-0-2.do (Dataset) 6 KBytes
  • ZA5301_en_RecodeMissings_v4-0-2.sps (Dataset) 23 KBytes
  • ZA5301_en_v4-0-2.dta (Dataset Stata) 3 MBytes
  • ZA5301_en_v4-0-2.sav (Dataset SPSS) 6 MBytes

Questionnaires

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  • ZA5301_fb.pdf (Questionnaire) 346 KBytes
  • ZA5301_Listenheft.pdf (Questionnaire) 915 KBytes
  • ZA5301_Listenheft_Soziodemographie.pdf (Questionnaire) 286 KBytes
  • ZA5301_q.pdf (Questionnaire) 281 KBytes

Other Documents

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  • ZA5300-57_GLES_Doku_insgesamt.zip (Other Document) 2 MBytes
  • ZA5301_Aenderungen_v3-0-0_zu_v4-0-0.pdf (Other Document) 32 KBytes
  • ZA5301_sb.pdf (Study Description) 165 KBytes
  • ZA5301_Variablenlabels_v4-0-0.pdf (Other Document) 48 KBytes
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Bibliographic Citation

Citation Citation GLES (2019): Post-election Cross Section (GLES 2009). GESIS Data Archive, Cologne. ZA5301 Data file Version 4.0.2, https://doi.org/10.4232/1.13229
Study No.ZA5301
TitlePost-election Cross Section (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version4.0.2, 2019-2-26, https://doi.org/10.4232/1.13229
Date of Collection28.09.2009 - 23.11.2009
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
Contributor, Institution, Role
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung - ProjectLeader
  • Wagner, Aiko - Wissenschaftszentrum Berlin für Sozialforschung - ProjectManager
  • Wagner, Aiko - Wissenschaftszentrum Berlin für Sozialforschung - ProjectMember
  • Förster, André - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Kratz, Sophia - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Kulick, Manuela - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Prinz, Christian - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Roßmann, Joss - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

AbstractEvaluation of parties and politicians. Attitude to political questions.
Categories Categories
  • Political Attitudes and Behavior
Topics Topics
  • 5.6 Social conditions and indicators
  • 5.8 Social behaviour and attitudes
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all persons with German citizenship resident in the Federal Republic of Germany, who had a minimum age of 16 years and lived in private households at the time the survey was being conducted.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Stratified: Disproportional
Mode of Collection Mode of Collection
  • Face-to-face interview: Computer-assisted (CAPI/CAMI)
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorBIK MARPLAN, Offenbach
Date of Collection
  • 28.09.2009 - 23.11.2009

Errata & Versions

VersionDate, Name, DOI
4.0.2 (current version)2019-2-26 Release4-0-2 https://doi.org/10.4232/1.13229
4.0.12017-6-7 Release4-0-1 https://doi.org/10.4232/1.12805
4.0.02011-10-25 Pre-Release4-0-0 https://doi.org/10.4232/1.10998
3.0.02010-6-9 Pre-Release1.2 https://doi.org/10.4232/1.10352
2.0.02010-4-1 Pre-Release1.1 https://doi.org/10.4232/1.10351
1.0.02010-2-26 Pre-Release1.0 https://doi.org/10.4232/1.10350
Errata in current version
DateSubjectDescription
2013-10-10Interchanged Variable Labels: q118i, q118j (Use of daily newspapers)The variable labels of the variables q118i ("Use of daily newspapers: daily newspapers which only appear on the internet") and q118j ("Use of daily newspapers: One or several other daily newspapers") were interchanged in the dataset. The mistake has been corrected in the German version of the dataset, but still persists in the English version.
Version changes
Changes between version 4.0.2 and it's previous version
DateSubjectDescriptionCorrection Description
2019-2-26Extensive revision of the variable labels and value labels in the English data set2019-2-26
Changes between version 4.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2011-10-25Overall, nine new weights were added to the dataset in Version 4.0.0.: East-West weight, transformation weight, a combined transformation and East-West weight and six further different sociodemographic and regional weights. They allow for East-West and all-German Analyses (with and without taking the transformation weight into account). A detailed description of all available weights and their computation can be found in the study description.--
2011-10-25The new variable ostwest ("East/West (Berlin citizens attributed to East Germany)") was generated. It indicates, if the respondent lives in East or West Germany (Berlin attributed completely to East Germany). This variable is also the basis for computing the East/West weight. In addition, the variable quelle was renamed into ostwest2 and includes the exact attribution of Berlin citizens to East and West Germany. This means that within Berlin it is distinguished between the former affiliation to the German Democratic Republic (GDR/DDR) and the Federal Republic of Germany (FRG/BRD).--
2011-10-25In a few exceptional cases, respondents received the questions regarding the most important or second important issue and/or the solution expertise, although the respondent had not given a valid answer to the questions regarding the most important, the second most important or the third most important problem in Germany (Q5, Q6, Q7) or had refused the answer. These flawed filtered respondents were assigned to the code "trifft nicht zu" ("not applicable").--
2011-10-25The respondents´ answers to the questions D251 ("Geburtsland","Country of birth") D253 ("Geburtsland Partner/in", "Partner´s country of birth"), D255 ("Geburtsland Mutter", "Mother´s country of birth") and D256 ("Geburtsland Vater", "Father´s country of birth") were recoded according to the unified coding scheme "countries". In addition, all open statements were coded and summed up with the predefined codes of the coding scheme into one variable.--
2011-10-25The indication of the sample point (point), in which the interview was realized, was anonymized for data security reasons and was added to the dataset as the variable vpoint (virtual sample point).--
2011-10-25The variable labels of the questions Q106, Q109, Q112 and Q115 had been misleading and therefore were relabeled into "Nutzungshaeufigkeit TV-Nachrichten Sendername" ("Frequency of use of TV news programmes: television channel name").--
2011-10-25The variables “kand1” and “kand5” partly contained incorrect candidate names. Therefore, the variables wkkunion, wkkspd, wkkgruen, wkkfdp und wkklinke were generated, which contain the names of all candidates ordered by party and which base on official documents of the federal elections administrator.--
2011-10-25Question D244 ("Religious denomination"): the answers "Judaism", "Islam" and "Other" were summarized to "Other religious denomination" due to data security considerations. Further answers were recoded respective to the coding scheme "Religious denomination", which can be found on the GLES homepage at GESIS. --
2011-10-25The variables D245 "Church attendance", D246 "Synagogue attendance" and D247 "Mosque attendance" were summarized to the variable dkirchg "church/mosque attendance" due to data security considerations.--
2011-10-25The variable label of the variable D249 ("German citizenship") had been misleading, because the question did not ask, whether the respondent holds a German citizenship, but whether the respondent holds a German citizenship since birth. The variable label was renamed into "German citizenship since birth".--
2011-10-25Based on the date of birth (Q2b) the age of each respondent (in years) at the day of the interview was computed (Q2ad).--
2011-10-25Based on the age of the respondents at the time point of the interview, the variable ragelt18 ("Respondents, who are younger than 18 years" (Source: Q2ad)) was generated. It indicates respondents in the dataset, who are younger than 18 years.--
2011-10-25Based on the categories of the variable D241b ("Net household income, with categories") the variable D241 ("Net household income, categorized") was generated. This variable summarizes the information of D241a and D241b.--
2011-10-25The labels of the variables Q48m1-19 "Unelectable political party" were modified to "Which party is not electable" (only German dataset).--
2011-10-25Variables Q118i und Q118j ("Use of daily newspapers"): Labels were interchanged. Modification into Q118i "Use of daily newspapers: daily newspapers which only appear on the internet" and Q118j "Use of daily newspapers: One or several other daily newspapers". This mistake has only been corrected in the German version of the dataset.--
2011-10-25Variable Q51a ("Recall last federal election First vote": Incorrect value label for code 4. Correction of this mistake in the course of unification of codings. --
2011-10-25Concerning one case in question D257 ("Language spoken at home"), an open mention was noted by the interviewer, although the mention was predefined. This has been corrected so that the statement was handled as if the interviewer had chosen the respective precode.--
2011-10-25"In the question D255 (“Country of birth mother”) one respondent gave the answer “Germany” as well as an answer to the open option “Other Country”. Presumably, this error occurred because the interviewer went back in the CAPI-software. In this case, the value label “Germany” was stored in the dataset and the case was tagged in the variable problem1."--
2011-10-25Concerning one case in question Q18 "Representation of interests, which leading candidate", two mentions were noted by the interviewer, which were not on the predefined list. The first mention was captured in the variable q18c1 and the second mention was captured in the variable q18c2. To generate the variable q18rc ("Representation leading candidates (q18+q18c1)") only the first mention was considered.--
2011-10-25Concerning some questions, the answers of the respondents were captured in several steps. For instance, mentions of the parties that are represented in the German Bundestag and mentions of "other" parties were mostly captured in separate variables. In order to facilitate working with the dataset, answers to these questions were summed up into two variables. Usually, the first variable ("Version A") contains the predefined answers plus an "other"-category and the second variable ("Version B") contains the further mentions.--
2011-10-25All umlauts (ä, ö, ü) and all "ß" in the variable labels and value labels were substituted by "ae", "oe", "ue" and "ss" in order to guarantee international usability of the dataset.--
2011-10-25The missing values were recoded in some cases due to harmonisation of the GLES studies. The answer "don´t know" is coded by the value (98), (998) or (9998), Refusals or missing answers ("No answer") are coded by the value (99), (999) or (9999). In case a question did not apply to a respondent due to filtering ("Not applicable"), this is coded by the value (100), (1000) or (10000).--
2011-10-25In order to ensure usability of the GLES datasets in many different programmes, the maximum length of variable labels has been limited to 80 characters and the maximum length of value labels has been limited to 120 characters. For some variables, the maximum length of the variable labels and the maximum length of the value labels were exceeded. In these cases, the labels were shortened so that the contentual meaning remained persistent.--
2011-10-25Due to harmonisation of the GLES datasets, questions with regard to the political parties (e.g. voting intention, voting decision, party Identification and form of party identification et cetera) were coded by a unified coding scheme. This scheme is available on the GLES homepage at GESIS.--
2011-10-25Several variables with open statements were coded. Questions regarding "other" parties were mostly concerned. If possible, these codings were not captured in separate variables, but instead summed up with the other (closed) codings of the respective question into one variable. --
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2010-6-9Append different variables: transformation weight, ISCO-88 coding, IPFWEIGHT_NWOST, IPFWEIGHT_NWWEST--
2010-6-9Correction of the East/West weight (variable: wei_ow)--
2010-6-9Correction of a few codings (most important issue, agenda questions, reason for not voting/reason for voting decision) (variables: q3, q4, q5, q6, q7, q37, q41)--
2010-6-9Correction / adding of value labels--
2010-6-9Deletion of two cases that do not belong to the population due to their citizenship (lfdn=52 and lfdn=444)--
2010-6-9Recoding of the scale referring to the performance of the federal government and the parties (adjustment to the Pre-election Cross Section) (variables: q52, q53, q54)--
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2010-4-1Version 2.0.0 (Pre1.1) was only published with the cross-sections.2012-1-3

Further Remarks

Links
NotesThe documented study was conducted in the context of the German Longitudinal Election Study (GLES), 2009. The data of this study are also available as cumulation (ZA5302) with the Pre-election Cross Section.
Number of Units: 2115
Number of Variables: 692
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
from SSOAR (automatically assigned)

Groups

Research Data Centre
Groups
  •  German Longitudinal Election Study (GLES)
    The German Longitudinal Election Study (GLES) is a DFG-funded project which made its debut just prior to the 2009 federal election. GLES is the largest and most ambitious election study held so far in Germany. Although the initial mandate is to examine and analyse the electorate for three consecutive elections, the aspired goal is to integrate the project within GESIS as an institutionalized election study after the federal election of 2017, and hence to make it a permanent study.