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

Tomáš Lintner1,2,3, Klára Šeďová1,2, Martin Sedláček1,2

  • 1Department of Educational Sciences, Masaryk University, Arna Nováka 1/1, 602 00 Brno, Czechia.

Data in Brief
|October 19, 2023
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Summary
This summary is machine-generated.

This study presents a new dataset on Czech 6th graders' friendships and classroom interactions. The data track social networks and communication over a school year, offering insights into early adolescent relationships and group dynamics.

Keywords:
Classroom group workClassroom interactionDynamic social network analysisPeer relationshipsSchool networksSocial network analysis

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Area of Science:

  • Educational Psychology
  • Social Network Analysis
  • Developmental Psychology

Background:

  • Understanding early adolescent social dynamics is crucial for educational and psychological research.
  • Longitudinal data on peer relationships and classroom interactions are essential for tracking developmental changes.
  • Existing datasets often lack the relational and temporal depth to capture nuanced social interactions.

Purpose of the Study:

  • To introduce a novel longitudinal network dataset of friendships and group work interactions among Czech 6th-grade students.
  • To provide researchers with a rich resource for examining the evolution of early adolescent social networks.
  • To facilitate the study of verbal interaction patterns during classroom group work.

Main Methods:

  • A convenience sample of 276 Czech 6th-grade students from twelve classrooms participated.
  • Network data on friendships and group work interactions were collected longitudinally.
  • Student-level data included demographics, literacy, motivation, and classroom communication.

Main Results:

  • The dataset captures the structure and changes in friendships over the 2021/2022 school year.
  • It offers insights into the nature and evolution of early adolescent peer relationships.
  • Relational and temporal data on student verbal interactions during group work are provided.

Conclusions:

  • This dataset is a valuable resource for educational researchers studying classroom group work.
  • It serves as a significant contribution to social network scientists analyzing dynamic social networks.
  • The data enable in-depth analysis of social and communication patterns in early adolescence.