Publication details

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

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Authors

LINTNER Tomáš ŠEĎOVÁ Klára SEDLÁČEK Martin ŠALAMOUNOVÁ Zuzana ŠVAŘÍČEK Roman MALÍKOVÁ Karolína ROZMAHEL Ivo VLČEK Jakub NEKARDOVÁ Barbora

Year of publication 2023
Type Peer-reviewed scientific article
Magazine / Source Data in Brief
MU Faculty or unit

Faculty of Arts

Citation
web https://doi.org/10.1016/j.dib.2023.109641
Doi https://doi.org/10.1016/j.dib.2023.109641
Keywords Social network analysis; Dynamic social network analysis; Peer relationships; School networks; Classroom group work; Classroom interaction
Description 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.
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