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Journal Articles Field Methods Year : 2014

Eliciting personal network data in web surveys through participant-generated sociograms

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Abstract

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.

Dates and versions

hal-01355677 , version 1 (23-08-2016)

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Paola Tubaro, Antonio A. Casilli, Lise Mounier. Eliciting personal network data in web surveys through participant-generated sociograms. Field Methods, 2014, 26 (2), pp.107-125. ⟨10.1177/1525822X13491861⟩. ⟨hal-01355677⟩
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