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The Swiss StudentLife Study: Investigating the emergence of an undergraduate community through dynamic, multidimensional social network data


Vorös, Andràs; Boda, Zsófia; Elmer, Timon; Hoffman, Marion; Mepham, Kieran; Raabe, Isabel J (2021). The Swiss StudentLife Study: Investigating the emergence of an undergraduate community through dynamic, multidimensional social network data. Social Networks, 65:71-84.

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.

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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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Sociology
Dewey Decimal Classification:300 Social sciences, sociology & anthropology
Scopus Subject Areas:Social Sciences & Humanities > Anthropology
Social Sciences & Humanities > Sociology and Political Science
Social Sciences & Humanities > General Social Sciences
Social Sciences & Humanities > General Psychology
Uncontrolled Keywords:Dynamic networks, Multidimensional networks, Education, Network data collection
Language:English
Date:May 2021
Deposited On:27 Sep 2021 14:43
Last Modified:27 Jan 2022 07:49
Publisher:Elsevier
ISSN:0378-8733
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1016/j.socnet.2020.11.006
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)