Dataset details
Ref dataset: 691 (1.0.0)
Dataset title
Swiss Pilot ISSP 2017 Social networks
DOI 10.23662/FORS-DS-691-1
Ref dataset 691
Ref study 12311
Dataset language English
Additional information E: Please note that this dataset refers to a pilot study, testing a questionnaire for a final study. The data of the final study (MOSAiCH 2017) are freely available on FORSbase. F: Nous attirons l'attention des chercheurs sur le fait que ce jeu de données se réfère à une étude pilote, visant à tester un questionnaire pour l'étude principale correspondante. Les données de l'étude principale (MOSAiCH 2017) sont librement accessibles dans FORSbase.
Dataset version 1.0.0
Version notes
Errata
Publication date 25.01.2018
See variables on De Visu
Bibliographical citation Michèle Ernst Stähli, Dominique Joye, Michael Ochsner, Alexandre Pollien, Marlène Sapin & Anthe van den Hende: Swiss Pilot ISSP 2017 Social networks [Dataset]. FORS - Centre de compétences suisse en sciences sociales, Lausanne. Distributed by FORS, Lausanne, 2018. https://doi.org/10.23662/FORS-DS-691-1
Data type Quantitative data
Consent of respondents
Time method Cross-section
Media
  • Digitalized data file
Data collector M.I.S. Trend SA
Available document types
  • Collection instruments
  • Communications to respondents
  • Technical report
Remarks about the documentation
Restriction Academic research only
Special order
Special permission With prior agreement of author
Status Published

Swiss PILOT ISSP 2017 Social Networks
Collection date - begin 22.10.2015
Collection date - end 18.01.2016
Analysis unit
  • Individual
Universe Population resident in Switzerland aged 18+
Sampling description 2000 addresses of individuals have been bought at AZ-Direct. The sample has been randomly drawn on individual basis, not on the household level, with no fixed quotas.
Mode of data collection
  • Self-administered questionnaire: Paper
Data collection instruments
  • Questionnaire
Data source
Weighting information No weights are included in the database. Researchers are invited to develop their own weight relevant for their own research purposes.
Response rate 59%
Data completeness This dataset contains all the questions of the questionnaire.
Number of cases 1041
Number of variables 173