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@manual{1758637,
author = {Lintner, Tomáš and Šeďová, Klára},
doi = {http://dx.doi.org/10.17632/5vzy6rykm7.1},
keywords = {Social Sciences; Education; Computer Modeling in Social Science; Social Network Analysis},
language = {eng},
title = {Peer social networks in Czech lower-secondary classrooms},
url = {http://dx.doi.org/10.17632/5vzy6rykm7.1},
year = {2021}
}
TY - COMP
ID - 1758637
AU - Lintner, Tomáš - Šeďová, Klára
PY - 2021
TI - Peer social networks in Czech lower-secondary classrooms
KW - Social Sciences
KW - Education
KW - Computer Modeling in Social Science
KW - Social Network Analysis
UR - http://dx.doi.org/10.17632/5vzy6rykm7.1
N2 - This dataset is based on a study aiming to identify aspects influencing formation of peer social networks with the use of exponential random graph modelling (ERGM). The results from the individual classrooms were pooled in meta-analyses using maximum likelihood estimation, which yielded estimates of the overall effects across the classrooms. The data come from a non-probability sample containing data from 435 ninth grade (ISCED 2A) 14 to 15-year-old students in 21 classrooms in 14 lower-secondary schools in Moravia Region of the Czech Republic, with data collected in November and December of 2017 as a part of a larger project - GA17-03643S. Standardized sociometric questionnaires designed for assessment of likeability between students in classrooms were used in primary data collection. Personal questionnaires were used to assign individual students the variables of SES (socioeconomic status) and gender. SES is represented by parents‘ highest occupational status using a three-class version of the ESeC - European Socio-economic Classification.
ER -
LINTNER, Tomáš a Klára ŠEĎOVÁ. \textit{Peer social networks in Czech lower-secondary classrooms}. 2021. Dostupné z: https://dx.doi.org/10.17632/5vzy6rykm7.1.
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