GESIS - DBK - ZA5262
 

ZA5262: German General Social Survey ALLBUS - Small-scale Geodata 2014 and 2016

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List of Files

List of Files
 

Datasets

  • ZA5262_ALLBUS-Geodataform.pdf (User Contract) 267 KBytes
  • ZA5262_ALLBUS-Geodatenformular.pdf (User Contract) 148 KBytes

Codebooks

  • ZA5262_cdb.pdf (Codebook) 3 MBytes
Availability Availability C - Data and documents are only released for academic research and teaching after the data depositor’s written authorization. For this purpose the Data Archive obtains a written permission with specification of the user and the analysis intention.
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Bibliographic Citation

Citation Citation Stefan Bauernschuster; Andreas Diekmann; Detlef Fetchenhauer; Andreas Hadjar; Frauke Kreuter; Karin Kurz; Stefan Liebig; Ulrich Rosar; Michael Wagner; Ulrich Wagner; Bettina Westle (2018): German General Social Survey ALLBUS - Small-scale Geodata 2014 and 2016. GESIS Data Archive, Cologne. ZA5262 Data file Version 2.0.0, https://doi.org/10.4232/1.13192
Study No.ZA5262
TitleGerman General Social Survey ALLBUS - Small-scale Geodata 2014 and 2016
Current Version2.0.0, 2018-11-30, https://doi.org/10.4232/1.13192
Date of Collection24.03.2014 - 18.09.2016
Principal Investigator/ Authoring Entity, Institution
  • Stefan Bauernschuster - Universität Passau
  • Andreas Diekmann - ETH Zürich
  • Detlef Fetchenhauer - Universität zu Köln
  • Andreas Hadjar - Université du Luxembourg
  • Frauke Kreuter - Universität München
  • Karin Kurz - Universität Göttingen
  • Stefan Liebig - Universität Bielefeld
  • Ulrich Rosar - Universität Düsseldorf
  • Michael Wagner - Universität zu Köln
  • Ulrich Wagner - Universität Marburg
  • Bettina Westle - Universität Marburg

Content

AbstractThe addresses of the ALLBUS 2014 survey respondents form the basis for the allocation of small-scale geodata. With the aid of geocoding (i.e. the calculation of geo-coordinates from the addresses), the point coordinates were linked with external geodata. These geodata originate on the one hand from the geodata provided by the 2011 census (census atlas) and on the other hand from the official noise mapping according to the Bundes-Immisionsschutzgesetz (Federal Immission Control Act). The grid cells of the census atlas assigned to ALLBUS respondents contain information on: • the population (1 km and 100 m) • the average age and proportions of under-18-year-olds and over-65-year-olds (1 km) • the gender ratio (1 km) • the proportion of foreigners (1 km) • household and apartment size and vacancy rate (1 km). The small-scale geodata of the ALLBUS also contain point-related data on the: • road traffic noise • rail traffic noise • aircraft noise. The daytime average and night values and the distance to the specified noise source are given as well. The small-scale geo-variables of this data set can be merged with the survey data of the ALLBUS 2014 by the identification number of the respondents. Just like the regional identifiers, this data set is subject to special access restrictions, because the small-scale geo-attributes may allow deanonymization of the survey participants. For this reason, the data can only be used on-site in the Secure Data Center (SDC) of GESIS. You will find more information and contact persons on our website. Please contact the ALLBUS user service first and send us the completed ALLBUS geodata form (see documents), in which you specify exactly which variables you need from the data set. As soon as you have clarified the modalities of data access with the ALLBUS user service, the data usage contract for the use of the data at a guest workstation (Safe Room) will be sent to you.

Methodology

Geographic Coverage
  • Germany (DE)
UniverseResidents in private households in the Federal Republic of Germany born before 1 January 1996.
Analysis Unit Analysis Unit
  • Geographic Unit
Sampling Procedure Sampling Procedure
Two stage disproportionate random sample in western Germany (incl. West Berlin) and eastern Germany (incl. East Berlin) from all persons (German and non-German) who resided in private households and were born before 1 January 1996. In the first sample stage municipalities (Gemeinden) in western Germany and municipalities in eastern Germany were selected with a probability proportional to their number of adult residents; in the second sample stage individual persons were selected at random from the municipal registers of residents. Targeted individuals who did not have adequate knowledge of German to conduct the interview were treated as systematic unit non-responses.
Mode of Collection Mode of Collection
Personal interview with standardized questionnaire (CAPI – Computer Assisted Personal Interviewing) and two additional self-completion questionnaires (CASI – Computer Assisted Self-Interviewing) for ISSP (split questionnaire design).
Kind of Data Kind of Data
  • Numeric
  • Geospatial
Data CollectorTNS Infratest Sozialforschung, Munich
Date of Collection
  • 24.03.2014 - 13.09.2014
  • 06.04.2016 - 18.09.2016

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2018-11-30 second archive edition https://doi.org/10.4232/1.13192
1.0.02018-8-2 first archive edition https://doi.org/10.4232/1.13020
Errata in current version
none
Version changes

Further Remarks

NotesJust like the regional identifiers, this data set is subject to special access restrictions, because the small-scale geo-attributes may allow deanonymization of the survey participants. For this reason, the data can only be used on-site in the Secure Data Center (SDC) of GESIS. You will find more information and contact persons on our website. Please contact the ALLBUS user service first and send us the completed ALLBUS geodata form (see documents), in which you specify exactly which variables you need from the data set. As soon as you have clarified the modalities of data access with the ALLBUS user service, the data usage contract for the use of the data at a guest workstation (Safe Room) will be sent to you. A Digital Object Identifier (DOI) for use in data citations is supplied as part of the data set. Additional information on ALLBUS is available at: http://www.gesis.org/en/allbus
Number of Units: 3471
Number of Variables: 42
Analysis System(s): SPSS, Stata

Publications

Publications
  • Wasmer, M., M. Blohm, J. Walter, R. Jutz & E. Scholz (2017): Konzeption und Durchführung der ´Allgemeinen Bevölkerungsumfrage der Sozialwissenschaften´ (ALLBUS) 2014. GESIS - Technical Reports 2017/20. Köln: GESIS
  • Schweers, S., K. Kinder-Kurlanda, S. Müller and P. Siegers (2016): "Conceptualizing a spatial data infrastructure for the social sciences: an example from Germany." Journal of Map & Geography Libraries 12 (1): 100-126. doi: dx.doi.org/10.1080/15420353.2015.1100152.
  • Müller, S., S. Schweers & P. Siegers (2017): Geocoding and Spatial Linking of Survey Data: An Introduc-tion for Social Scientists. GESIS Papers 2017/15. Unter: https://www.ssoar.info/ssoar/handle/document/52316
Relevant full texts
from SSOAR (automatically assigned)

Groups

Research Data Centre
Groups
  •  ALLBUS
    The German General Social Survey (ALLBUS) collects up-to-date data on attitudes, behavior, and social structure in Germany. Every two years since 1980 a representative cross section of the population is surveyed using both constant and variable questions. The ALLBUS data become available to interested parties for research and teaching as soon as they are processed and documented.