GESIS - DBK - ZA5770
 

ZA5770: Long-term Panel 2013-2017 (GLES)

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ZA5770 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5770_missing.do (Dataset) 2 KBytes
  • ZA5770_v1-0-0.dta (Dataset Stata) 14 MBytes
  • ZA5770_v1-0-0.sav (Dataset SPSS) 11 MBytes
  • ZA5770_v1-0-0_open-ended.csv (Dataset) 1 MByte
  • ZA5770_Zeitvariablen_v1-0-0.dta (Dataset Stata) 5 MBytes
  • ZA5770_Zeitvariablen_v1-0-0.sav (Dataset SPSS) 3 MBytes
  • ZA5770_Zeitvariablen_zuspielen.do (Dataset) 1 KByte
  • ZA5770_Zeitvariablen_zuspielen.sps (Dataset) 2 KBytes

Questionnaires

  • ZA5770_fb_einzelne_Wellen.zip (Questionnaire) 3 MBytes

Other Documents

  • ZA5770_sb.pdf (Study Description) 2 MBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2018): Long-term Panel 2013-2017 (GLES). GESIS Data Archive, Cologne. ZA5770 Data file Version 1.0.0, https://doi.org/10.4232/1.13018
Study No.ZA5770
TitleLong-term Panel 2013-2017 (GLES)
Current Version1.0.0, 2018-10-12, https://doi.org/10.4232/1.13018
Date of Collection29.07.2013 - 08.12.2017
Principal Investigator/ Authoring Entity, Institution
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Schoen, Harald - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS - Leibniz-Institut für Sozialwissenschaften
Contributor, Institution, Role
  • Schoen, Harald - Universität Mannheim - ProjectLeader
  • Preißinger, Maria - Universität Mannheim - ProjectManager
  • Rudnik, Agatha - Universität Mannheim - ProjectMember
  • Wuttke, Alexander - Universität Mannheim - ProjectMember
  • Jungmann, Nils - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Methodology

Geographic Coverage
  • Germany (DE)
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)
  • Telephone interview: Computer-assisted (CATI)
  • Self-administered questionnaire: Web-based (CAWI)
  • Self-administered questionnaire: Paper
Time Method Time Method
  • Longitudinal: Panel
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorLINK Institut für Markt- und Sozialforschung, Frankfurt am Main
Date of Collection
  • 29.07.2013 - 08.12.2017

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2018-10-12 first archive edition https://doi.org/10.4232/1.13018
Errata in current version
DateSubjectDescription
2018-10-19Filter error: j72 (Point in time of voting decision)Nine respondents (lfdn = 2099, 2185, 2766, 2963, 3018, 3046, 3055, 3071, 3737), who stated to have cast their vote in the federal election, did erroneously not get the question j72 concerning the point in time of their voting decision (Code -97 ´not applicable´).
2018-10-19Filter error: j651a,b & j652a,b (Recall Federal State Election Bavaria)One participant (lfdn = 1755) who answered to had taken part in the Bavarian federal state election, was not shown questions about his election decision (j651a,b & j652a,b) and got -97 ´not applicable´ instead.
2018-10-19Filter error: sex, jahrDue to a filter error 7 participants were not shown questions of sex and year/month of birth.
2018-10-19Filter error: k591 (Participation in Survey)Due to a filter error until October 15th 206 participants of the Long-term Panel were shown a question about their former attendance to other online-surveys ).
2018-10-23Filter error: lpid_2a,b (Multiple party identification)The dynamic filter of "lpid_2a,b" (multiple party identification) has been implemented in the online survey only. Due to its mode of conduction, the self-directed Paper-and-Pencil interview did not allow for such a filter. Thus, independently of the answer given in "lpid_a,b" all parties were again available for selection and respondents were therefore able to give the same information in "lpid_2a,b" as in "lpid_a,b". As Paper-and-Pencil answers were collected using the same software as CATI, the CATI questionnaire had to be programmed without a filter as well. This also lead to some respondents giving the same information in "lpid_2a,b" as in "lpid_a,b" and being asked the "Strength of party identification" ("lpidstrk" & "lpid2strk") for the same party twice. Additionally, CATI respondents were also able to select only one of the Union parties (CDU OR CSU) in lpid_a,b and lpid_2a,b. As this enabled them to give different assessments of their strength of identification with the same party, values have not been recoded.
2018-10-23Filter error: mpid_2a,b (Multiple party identification)The dynamic filter of "mpid_2a,b" (multiple party identification) has been implemented in the online survey only. Due to its mode of conduction, the self-directed Paper-and-Pencil interview did not allow for such a filter. Thus, independently of the answer given in "mpid_a,b" all parties were again available for selection and respondents were therefore able to give the same information in "mpid_2a,b" as in "mpid_a,b".
2018-10-23Programming error: mpid_a,b (party identification) & mpid_2a,b (multiple party identification)Many Paper-and-Pencil respondents wrongfully checked more than one party in variables „mpid_a,b“ and „mpid_2a,b“. If a respondent gave information on his party identification "mpid_a,b" and mentioned the same party and one more party when asked if he leans to another party "mpid_2a,b", the second party mentioned has been coded in "mpid_2a,b". If a respondent checked the same two parties in both questions, the first party in the list of response options has been coded in "mpid_a,b" and the second one has been coded in "mpid_2a,b". Checking more than two parties has been coded as "error in data".
2018-10-23Programming error: m292 (General internet usage)If Paper-and-Pencil respondents checked "I never use the internet" as well as "no internet connection available" when being asked about their general use of the Internet "m292", this has been coded as "I never use the internet".
2018-10-23Programming error: n150 (Problem-solving expertise Most Important Problem)Despite being intended as closed single choice questions, about 20 percent of respondents wrongfully checked more than one party when they were asked about the problem-solving competency for the most important problem. These unforeseen answers have been coded.
2018-10-23Filter error: npid_2a,b (Multiple party identification)The dynamic filter of "npid_2a,b" (multiple party identification) has been implemented in the online survey only. Due to its mode of conduction, the self-directed Paper-and-Pencil interview did not allow for such a filter. Thus, independently of the answer given in "npid_a,b" all parties were again available for selection and respondents were therefore able to give the same information in "npid_2a,b" as in "npid_a,b".
2018-10-23Programming error: npid_a,b (party identification) & npid_2a,b (multiple party identification)Many Paper-and-Pencil respondents wrongfully checked more than one party in variables „npid_a,b“ and „npid_2a,b“. If a respondent gave information on his party identification "npid_a,b" and mentioned the same party and one more party when asked if he leans to another party "npid_2a,b", the second party mentioned has been coded in "npid_2a,b". If a respondent checked the same two parties in both questions, the first party in the list of response options has been coded in "npid_a,b" and the second one has been coded in "npid_2a,b". Checking more than two parties has been coded as "error in data".
2018-10-23One respondent stated in the commentary section that he had not been able to see the sample ballot paper used to display the answer options in variables n69 and n70 which forced him to check boxes at random. His answers have been coded as -92 "Error in data".
Version changes

Further Remarks

Links
Number of Units: 5456
Number of Variables: 1158 (+ 340 Zeitvariablen)
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.