1. Relational and interactional dynamic network data from Czech lower-secondary school students
- Author
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Tomáš Lintner, Klára Šeďová, Martin Sedláček, Zuzana Šalamounová, Roman Švaříček, Karolína Malíková, Ivo Rozmahel, Jakub Vlček, and Barbora Nekardová
- Subjects
Social network analysis ,Dynamic social network analysis ,Peer relationships ,School networks ,Classroom group work ,Classroom interaction ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Science (General) ,Q1-390 - Abstract
This article introduces a network data set on the friendships and group work interactions among a convenience sample of 276 Czech Grade 6 students from twelve classrooms, supported by student-level demographic, literacy, motivation, and classroom communication data. Gathered longitudinally at the beginning and end of the 2021/2022 school year, the data provide a relational insight into the nature and evolution of early adolescents' friendships. Moreover, the data provide a unique relational and temporal insight into the verbal interaction of students during classroom group work. This dataset constitutes a valuable resource for educational researchers interested in studying classroom group work as well as for social network scientists studying dynamic social networks.
- Published
- 2023
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