• Media type: E-Article
  • Title: Eliciting Personal Network Data in Web Surveys through Participant-generated Sociograms
  • Contributor: Tubaro, Paola; Casilli, Antonio A.; Mounier, Lise
  • Published: SAGE Publications, 2014
  • Published in: Field Methods, 26 (2014) 2, Seite 107-125
  • Language: English
  • DOI: 10.1177/1525822x13491861
  • ISSN: 1525-822X; 1552-3969
  • Origination:
  • Footnote:
  • Description: The article presents a method to elicit personal network data in Internet surveys, exploiting the renowned appeal of network visualizations to reduce respondent burden and risk of dropout. It is a participant-generated computer-based sociogram, an interactive graphical interface enabling participants to draw their own personal networks with simple and intuitive tools. In a study of users of websites on eating disorders, we have embedded the sociogram within a two-step approach aiming to first elicit the broad ego network of an individual and then to extract subsets of issue-specific support ties. We find this to be a promising tool to facilitate survey experience and adaptable to a wider range of network studies.