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Forum Seminar Room 04

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A Reliable Means for Capturing Egonets: Notes on the design and use of Network Canvas

Presented by Dr. Bernie Hogan of the Oxford Internet Institute

The University of Exeter Q-Step Centre seminar
Date14 November 2018
Time15:30 to 17:00
PlaceForum Seminar Room 04

The second in a series of Q-Step Seminar talks for Autumn 2018.

Egocentric data is known to be complex for at least two reasons. The first is practical: ego network data, such as name generator data involves many dependencies between data. Representing these in a survey or interview is tricky. The second is conceptual: Respondents may not understand why we are asking them to report on friends, particularly within-friend relations, nor might they understand why we ask for some individuals but not others. Name generator instruments are designed for the capture of this data. However, they are not often designed for the respondent in situ. The software Network Canvas has been developed to address these complexities through easy to use menus and interfaces that abstract away tedious details during the interview while provide clear mental models of egocentric networks to the user. We report here on two elements of Network Canvas, the first are design decisions taken based on interaction with the social networks and public health communities. The second is an empirical analysis of the reliability of data that have come through a multi-wave cohort study of YMSMs. We articulate why we believe Network Canvas to be entertaining, reliable and efficient.

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