J 2023

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

LINTNER, Tomáš, Klára ŠEĎOVÁ, Martin SEDLÁČEK, Zuzana ŠALAMOUNOVÁ, Roman ŠVAŘÍČEK et. al.

Basic information

Original name

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

Authors

LINTNER, Tomáš (703 Slovakia, guarantor, belonging to the institution), Klára ŠEĎOVÁ (203 Czech Republic, belonging to the institution), Martin SEDLÁČEK (203 Czech Republic, belonging to the institution), Zuzana ŠALAMOUNOVÁ (203 Czech Republic, belonging to the institution), Roman ŠVAŘÍČEK (203 Czech Republic, belonging to the institution), Karolína MALÍKOVÁ (203 Czech Republic, belonging to the institution), Ivo ROZMAHEL (203 Czech Republic, belonging to the institution), Jakub VLČEK (203 Czech Republic, belonging to the institution) and Barbora NEKARDOVÁ (203 Czech Republic, belonging to the institution)

Edition

Data in Brief, ELSEVIER, 2023, 2352-3409

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50301 Education, general; including training, pedagogy, didactics [and education systems]

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 1.200 in 2022

RIV identification code

RIV/00216224:14210/23:00134252

Organization unit

Faculty of Arts

UT WoS

001088283200001

Keywords in English

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

Tags

Změněno: 22/3/2024 12:49, Mgr. et Mgr. Lucie Racyn

Abstract

V originále

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.

Links

GA21-16021S, research and development project
Name: Kolektivita v dialogickém vyučování: Intervenční studie (Acronym: CoDiTe)
Investor: Czech Science Foundation