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ZA5302: Pre- and Post-election Cross Section (Cumulation) (GLES 2009)

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  • ZA5302_fb.pdf (Questionnaire) 480 KBytes
  • ZA5302_Listenheft.pdf (Questionnaire) 1 MByte
  • ZA5302_q.pdf (Questionnaire) 480 KBytes

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  • ZA5300-57_GLES_Doku_insgesamt.zip (Other Document) 2 MBytes
  • ZA5302_Aenderungen_v5-0-0_zu_v6-0-0.pdf (Other Document) 33 KBytes
  • ZA5302_sb.pdf (Study Description) 186 KBytes
  • ZA5302_Variablenlabels_v6-0-0.pdf (Other Document) 63 KBytes
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Bibliographic Citation

Citation Citation GLES (2019): Pre- and Post-election Cross Section (Cumulation) (GLES 2009). GESIS Data Archive, Cologne. ZA5302 Data file Version 6.0.2, https://doi.org/10.4232/1.13230
Study No.ZA5302
TitlePre- and Post-election Cross Section (Cumulation) (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version6.0.2, 2019-2-26, https://doi.org/10.4232/1.13230
Date of Collection10.08.2009 - 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
  • Roßteutscher, Sigrid - Universität Frankfurt - ProjectLeader
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung - ProjectLeader
  • Scherer, Philipp - Universität Frankfurt - ProjectManager
  • Wagner, Aiko - Wissenschaftszentrum Berlin für Sozialforschung - ProjectManager
  • Bytzek, Evelyn - Universität Frankfurt - ProjectMember
  • Bieber, Ina - GESIS - Leibniz-Institut für Sozialwissenschaften - 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

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
  • Longitudinal: Trend/Repeated cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorBIK MARPLAN, Offenbach
Date of Collection
  • 10.08.2009 - 26.09.2009 (Pre-election)
  • 28.09.2009 - 23.11.2009 (Post-election)

Errata & Versions

VersionDate, Name, DOI
6.0.2 (current version)2019-2-26 Release6-0-2 https://doi.org/10.4232/1.13230
6.0.12017-6-7 Release6-0-1 https://doi.org/10.4232/1.12806
6.0.02012-5-24 Pre-Release6-0-0 https://doi.org/10.4232/1.11373
5.0.02011-10-26 Pre-Release5-0-0 https://doi.org/10.4232/1.10999
4.0.02010-6-9 Pre-Release1.3 https://doi.org/10.4232/1.10356
3.0.02010-5-10 Pre-Release1.2 https://doi.org/10.4232/1.10355
2.0.02010-4-1 Pre-Release1.1 https://doi.org/10.4232/1.10354
1.0.02010-3-25 Pre-Release1.0 https://doi.org/10.4232/1.10353
Errata in current version
none
Version changes
Changes between version 6.0.2 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 6.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2012-5-24All 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.--
2012-5-24The 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).--
2012-5-24In 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.--
2012-5-24Due 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.--
2012-5-24Several 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. --
2012-5-24Concerning 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.--
2012-5-24The 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).--
2012-5-24In 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 (vn172, vn174, vn176) or had refused the answer. These flawed filtered respondents were assigned to the code "trifft nicht zu" ("not applicable").--
2012-5-24The 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).--
2012-5-24The respondents´ answers to the questions vn82a ("Geburtsland","Country of birth"), vn84a ("Geburtsland Partner/in", "Partner´s country of birth"), vn298a ("Geburtsland Mutter", "Mother´s country of birth") and vn295a ("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. The coding scheme "countries" is available on the GLES homepage at GESIS.--
2012-5-24The variable labels of the questions v420/n420, v423/n423, v510/n510 and v512/n512 had been misleading and therefore were relabeled into "Nutzungshaeufigkeit TV-Nachrichten Sendername" ("Frequency of use of TV news programmes: television channel name").--
2012-5-24The variables kand1 and kand5 partly contained incorrect candidate names due to the fact that not all candidates for the election were certain on the date of the study. All cases, in which the respondents were asked about the wrong candidates (that was the case in presumably two election districts), were marked in the variables problem2 and problem3. Moreover, 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.--
2012-5-24Question vn79 ("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. --
2012-5-24The variables concerning church attendance, synagogue attendance and mosque attendance were summarized to the variable vndkirchg "church/mosque attendance" due to data security considerations.--
2012-5-24The variable label of the variable vn2a ("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".--
2012-5-24Based on the age of the respondents at the time point of the interview, the variable ragelt18 ("Respondents, who are younger than 18 years" (Source: vn542/n542ad)) was generated. It indicates respondents in the dataset, who are younger than 18 years.--
2012-5-24Based on the categories of the variable vn75b ("Net household income, with categories") the variable vn75 ("Net household income, categorized") was generated. This variable summarizes the information of vn75a and vn75b.--
2012-5-24In the pre-election cross section, eight respondents received the question regarding their occupation (vn22a "Berufliche Tätigkeit", "Occupation"), which was a mistake due to wrong filtering. These wrongly filtered respondents were assigned to the code "trifft nicht zu" ("not applicable").--
2012-5-24There is a filter mistake concerning the question vn85a ("Im HH gesprochene Sprache", "language spoken at home") in the pre-election cross section. According to the quesionnaire, the question should have been asked if the respondent or his/her spouse was born abroad. The filter was implemented wrongly so that only respondents who were born abroad and whose spouse was born abroad (or who have no spouse) were asked this question. Additionally, respondents were asked, who did not state their country of birth and who do not have a spouse or who did not make a statement concerning their spouse. --
2012-5-24In 21 cases in the pre-election cross section, year of birth and age did not correspond. These cases have been tagged in the variable problem1.--
2012-5-24In the post-election cross section, the labels of the variables n108a-tb "Unelectable political party" were modified to "Which party is not electable".--
2012-5-24Concerning one case in question vn85a ("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.--
2012-5-24"In the question vn298a (“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 problem4."--
2012-5-24Concerning one case in question n95 "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 n95a and the second mention was captured in the variable n95b. To generate the variable n95rc ("Representation leading candidates (n95a+n95b)") only the first mention was considered.--
Changes between version 5.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2011-10-26Overall, 15 new weights were added to the dataset: East-West weight, transformation weight, a combined transformation and East-West weight and twelve 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.--
2011-10-26The labels of the variables n514i and n514j had been interchanged. This has been corrected.--
2011-10-26The labels of the variables concerning the use of TV news programmes had been inaccurate and have now been relabeled into "Frequency with use of TV news programms xxx". This affects the variables v420, n420, v423, n423, v510, n510, v512 and n512.--
2011-10-26The labels of the variables n180a-u ("not eligible party") had been incorrect and therefore have been modified in the present version.--
2011-10-26The attribution of candidates of the political parties FDP and Grüne had been incorrect in the variables kand3 and kand4. This has been corrected.--
2011-10-26There had been inconsistencies in the naming of the variables vn153A and vn130B-G between the dataset and the questionnaire documentation. This has been corrected. --
2011-10-26The 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).--
2011-10-26Concerning the question regarding 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". --
2011-10-26The variables concerning church attendance, synagogue attendance and mosque attendance were summarized to the variable vndkirchg "church/mosque attendance" due to data security considerations.--
Changes between version 4.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2010-6-9To reconstruct the modifications made please see the changing process of the Pre-election Cross Section (ZA5300) and of the Post-election Cross Section (ZA5301). --
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2010-5-10To reconstruct the modifications made please see the changing process of the Pre-election Cross Section (ZA5300) and of the Post-election Cross Section (ZA5301). --
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2010-4-1To reconstruct the modifications made please see the changing process of the Pre-election Cross Section (ZA5300) and of the Post-election Cross Section (ZA5301). --

Further Remarks

Links
NotesThe documented study was conducted in the context of the German Longitudinal Election Study (GLES), 2009. This study is a cumulation of the Pre-election (ZA5300) and Post-election Cross Section (ZA5301).
Number of Units: 4288
Number of Variables: 840
Analysis System(s): SPSS, Stata

Publications

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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.