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Publication details
Relational and interactional dynamic network data from Czech lower-secondary school students
Authors | |
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Year of publication | 2023 |
Type | Article in Periodical |
Magazine / Source | Data in Brief |
MU Faculty or unit | |
Citation | |
web | https://doi.org/10.1016/j.dib.2023.109641 |
Doi | http://dx.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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