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

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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.
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Dates and versions

hal-00745617 , version 1 (26-10-2012)

Identifiers

  • HAL Id : hal-00745617 , version 1

Cite

Paola Tubaro, Antonio A. Casilli, Lise Mounier. Eliciting personal network data in web surveys through participant-generated sociograms. 2012. ⟨hal-00745617⟩
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