Relational and interactional dynamic network data from Czech lower-secondary school students

oleh: Tomáš Lintner, Klára Šeďová, Martin Sedláček, Zuzana Šalamounová, Roman Švaříček, Karolína Malíková, Ivo Rozmahel, Jakub Vlček, Barbora Nekardová

Format: Article
Diterbitkan: Elsevier 2023-12-01

Deskripsi

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.