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

András Vörös; Zsófia Boda; Timon Elmer; Marion Hoffman; Kieran Mepham; Isabel J. Raabe; Christoph Stadtfeld

doi:10.1016/j.socnet.2022.01.012

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

András Vörös^*, Zsófia Boda, Timon Elmer, Marion Hoffman, Kieran Mepham, Isabel J. Raabe, Christoph Stadtfeld

^*Corresponding author for this work

Social Policy, Sociology and Criminology

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	180-193
Number of pages	14
Journal	Social Networks
Volume	69
Early online date	25 Jan 2022
DOIs	https://doi.org/10.1016/j.socnet.2022.01.012
Publication status	Published - May 2022

Bibliographical note

Funding Information:
We thank Krishna Chaitanya, Charlotte Corrodi, Julia von Fellenberg, Prateek Purwar, and Afke Schouten for their hard work and contribution to the data collection. We are grateful to Stefan Wehrli (DeSciL at ETH Zürich) for his help in distributing our surveys. We also thank the university management, the department staff and the student organizations supporting the study and, above all, our participants for their enthusiasm, cooperation, and patience. The Swiss StudentLife Study was supported by the Swiss National Science Foundation(grant no. 10001A_169965,10DL17_183008 and P2EZP1_188022) and the rectorate of ETH Zürich.

Publisher Copyright:
© 2022 The Authors

Keywords

Dynamic networks
Education
Multidimensional networks
Network data collection

ASJC Scopus subject areas

Anthropology
Sociology and Political Science
General Social Sciences
General Psychology

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Cite this

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title = "Reprint of: The Swiss StudentLife Study: investigating the emergence of an undergraduate community through dynamic, multidimensional social network data",

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.",

keywords = "Dynamic networks, Education, Multidimensional networks, Network data collection",

author = "Andr{\'a}s V{\"o}r{\"o}s and Zs{\'o}fia Boda and Timon Elmer and Marion Hoffman and Kieran Mepham and Raabe, {Isabel J.} and Christoph Stadtfeld",

note = "Funding Information: We thank Krishna Chaitanya, Charlotte Corrodi, Julia von Fellenberg, Prateek Purwar, and Afke Schouten for their hard work and contribution to the data collection. We are grateful to Stefan Wehrli (DeSciL at ETH Z{\"u}rich) for his help in distributing our surveys. We also thank the university management, the department staff and the student organizations supporting the study and, above all, our participants for their enthusiasm, cooperation, and patience. The Swiss StudentLife Study was supported by the Swiss National Science Foundation(grant no. 10001A_169965,10DL17_183008 and P2EZP1_188022) and the rectorate of ETH Z{\"u}rich. Publisher Copyright: {\textcopyright} 2022 The Authors",

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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