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

doi:10.1016/j.dib.2023.109641

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

Data Brief. 2023 Oct 4:51:109641. doi: 10.1016/j.dib.2023.109641. eCollection 2023 Dec.

Authors

Tomáš Lintner^{1

2

3}, Klára Šeďová^{1

2}, Martin Sedláček^{1

2}, Zuzana Šalamounová^{1

2}, Roman Švaříček¹, Karolína Malíková¹, Ivo Rozmahel¹, Jakub Vlček^{1

2}, Barbora Nekardová^{1

4}

Affiliations

¹ Department of Educational Sciences, Masaryk University, Arna Nováka 1/1, 602 00 Brno, Czechia.
² Institute SYRI, Žerotínovo nám. 617/9, 601 77 Brno, Czechia.
³ netanlab, Bratislava, Slovakia.
⁴ Institute for Research and Development in Education, Charles University, Myslíkova 208/7, 110 00 Prague, Czechia.

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.

Keywords: Classroom group work; Classroom interaction; Dynamic social network analysis; Peer relationships; School networks; Social network analysis.