Collecting network panel data in schools : practical guidance based on the experiences of three German research projects


Leszczensky, Lars ; Beier, Harald ; Kruse, Hanno ; Pink, Sebastian


URL: http://www.mzes.uni-mannheim.de/publications/wp/wp...
Document Type: Working paper
Year of publication: 2016
The title of a journal, publication series: Arbeitspapiere / Mannheimer Zentrum für Europäische Sozialforschung = Working papers
Volume: 166
Place of publication: Mannheim
ISSN: 1437-8574
Publication language: English
Institution: Außerfakultäre Einrichtungen > Mannheim Centre for European Social Research - Research Department A
Subject: 300 Social sciences, sociology, anthropology
Abstract: There is an increasing amount of literature on how to analyze longitudinal data of complete social networks. Guidance on how to collect such data in schools, however, is both scant and desperately needed, because longitudinal social network analysis has high data requirements. Aiming to provide guidance for future data collection of school-based networks, we share our experiences gained in three different projects collecting longitudinal social network data in different samples of German schools. This includes both one large-scale study that relied on a nationally representative sample of schools and two smaller studies that targeted more specific geographical areas. We discuss key decisions researchers have to make before data collection, the definition of school samples, and the selection of schools. We further offer advice on how to improve school participation and students’ response, describe the field-work, and make recommendations for projects aiming to collect longitudinal social network data.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Leszczensky, Lars ; Beier, Harald ; Kruse, Hanno ; Pink, Sebastian (2016) Collecting network panel data in schools : practical guidance based on the experiences of three German research projects. Arbeitspapiere / Mannheimer Zentrum für Europäische Sozialforschung = Working papers Mannheim 166 [Working paper]


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