The Swiss StudentLife Study: Investigating the emergence of an undergraduate community through dynamic, multidimensional social network data
Autor: | Vörös, András, Boda, Zsófia, Elmer, Timon, Hoffman, Marion, Mepham, Kieran, Raabe, Isabel J., Stadtfeld, Christoph |
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Rok vydání: | 2021 |
Předmět: |
Sociology & anthropology
Psychology Psychologie Soziologie Anthropologie dynamic networks multidimensional networks network data collection Social Psychology General Sociology Basic Research General Concepts and History of Sociology Sociological Theories Sozialpsychologie Allgemeine Soziologie Makrosoziologie spezielle Theorien und Schulen Entwicklung und Geschichte der Soziologie soziale Beziehungen Bildung Motivation soziales Netzwerk Studienerfolg Gemeinschaft Längsschnittuntersuchung Student ISSP Datenerfassung Wohlbefinden Daten longitudinal study education data acquisition well-being student data social network motivation social relations academic success community |
Zdroj: | Social Networks, 65, 71-84 |
Druh dokumentu: | journal article<br />Zeitschriftenartikel |
ISSN: | 0378-8733 |
DOI: | 10.1016/j.socnet.2020.11.006 |
Popis: | 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. |
Databáze: | SSOAR – Social Science Open Access Repository |
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