top banner top banner

Search publications

Who Belongs in School? Using Statistical Learning Techniques to Identify Linear, Nonlinear and Interactive Effects

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.17.3.p312

Quintana, Rafael
Keywords: school belonging , statistical learning , Lasso , MARS
(no sample data)   (Appendix)

The sense of school belonging refers to students' feelings of being accepted and connected to their particular school. School belonging has been considered an important determinant of a range of academic and socioemotional outcomes. Yet despite an extensive literature on the topic, it is not clear what factors are more strongly related to the students' sense of school belonging. Using a nationally representative dataset, we investigated the extent to which school belonging in fifth grade can be predicted by a wide range of individual and contextual-level factors using two statistical learning techniques (Lasso and MARS). The strongest predictor of school belonging across all models was students' feelings of peer social support, followed by students' feelings of loneliness at school. These results suggest that peer social relationships are a key component of students feeling of being connected to their school.

Pages © TQMP;
Website last modified: 2024-03-28.
Template last modified: 2022-03-04 18h27.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS