Data in Brief (Dec 2023)

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

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

Journal volume & issue
Vol. 51
p. 109641

Abstract

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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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