Combining qualitative, quantitative and structural dimensions in a longitudinal perspective. The case of network influence

Claire Bidart () and Patrice Cacciuttolo ()

Quality & Quantity: International Journal of Methodology, 2013, vol. 47, issue 5, 2495-2515

Abstract: Some research questions involve several dimensions. The most rewarding approach may be switching (under control) between the diverse methods and databases involved. Having recourse to different dimensions that form a system produces wider results but also opens up new questions. A survey on the evolutions of social networks and life transitions of young people draws an original design including contextual names generators, questionnaires and interviews in a longitudinal perspective. Young people interviewed every 3 years on 4 survey waves produced a total of 287 interviews and networks and a global amount of 10,804 relationships informed. This article aims to highlight this specific potential of integrating qualitative, qantitative and structural dimensions in an iterative process of data construction and analysis. The methodological argument is empirically illustrated with a focus on the thematic of influence of the network upon life orientations. It shows influence comes mainly from strong central ties but also from some peripheral isolated mates. The structural evolution reveals a general trend of dissociation of their ties the ones from the others when people are entering adult life, which makes influence from the network become more and more diversified. Copyright Springer Science+Business Media B.V. 2013

Keywords: Mixed methods; Social networks; Longitudinal survey; Dynamic perspective; Influence (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/s11135-012-9667-6

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