The Swiss StudentLife Study: Investigating the emergence of an undergraduate community through dynamic,multidimensional social network data |
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| Institution: | 1. Social Networks Lab, ETH Zürich, Switzerland;2. Department of Social Statistics and Mitchell Centre for Social Network Analysis, University of Manchester, United Kingdom;3. Institute of Education, University College London, United Kingdom;4. Department of Psychometrics and Statistics, University of Groningen, The Netherlands;5. Institute of Sociology, University of Zürich, Switzerland |
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| Abstract: | The Swiss StudentLife Study (SSL Study) is a longitudinal social network data collection conducted in three undergraduate student cohorts (N1 = 226, N2 = 261, N3 = 660) in 2016?2019. The main goal of the study was to understand the emergence of informal student communities and their effects on different individual outcomes, such as well-being, motivation, and academic success. To this end, multiple dimensions of social ties were assessed, combining computer-based surveys, social sensors, social media data, and field experiments. The dynamics of these social networks were measured on various time scales. In this paper, we present the design and data collection strategy of the SSL Study. We discuss practical challenges and solutions related to the data collection in four areas that were key to the success of our project: study design, research ethics, communication, and population definition. |
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| Keywords: | Dynamic networks Multidimensional networks Education Network data collection |
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