Tubaro, Paola, Casilli, Antonio A. and Mounier, Lise (2013) Eliciting personal network data in web surveys through participant-generated sociograms. Field Methods, 26 (2). pp. 107-125. ISSN 1525-822X (Print), 1552-3969 (Online) (doi:10.1177/1525822X13491861)

PDF (Author's accepted manuscript) 9195_Tubaro_Eliciting personal network data (AAM) 2014.pdf - Accepted Version Restricted to Registered users only Download (378kB)

Abstract

The paper 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 drop-out. 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.

Item Type:	Article
Additional Information:	[1] Funding: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The French Agence Nationale de la Recherche, ANR (grant number ANR-09-ALIA-001).
Uncontrolled Keywords:	social networks, personal networks, name generators, network visualizations, internet surveys
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HF Commerce
Faculty / School / Research Centre / Research Group:	Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA) Faculty of Business > Department of International Business & Economics
Related URLs:	Publisher Organisation
Last Modified:	14 Oct 2016 09:22
URI:	http://gala.gre.ac.uk/id/eprint/9195

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