Predicting Student Well-Being: Network Analysis Based on PISA 2018
MetadataShow full item record
Well-beingBullyingNetwork analysisPISA 2018Teaching styles
Govorova, E., Benítez, I., & Muñiz, J. (2020). Predicting Student Well-Being: Network Analysis Based on PISA 2018. International Journal of Environmental Research and Public Health, 17(11), 4014. [DOI: 10.3390/ijerph17114014]
The latest trends in research extend the focus of school effectiveness beyond students’ acquisition of knowledge and skills, looking at aspects such as well-being in the academic context. Although the concept of well-being itself has been defined and measured in various ways, neither its dimensions nor the relationships between the components have been clearly described. The aim of the present study was to analyse how the elements of well-being interact and determine how they are influenced by school factors. To do that, we conducted a network analysis based on data from the Programme for International Student Assessment (PISA) 2018 international assessment. Our results demonstrated that cognitive, psychological, and social well-being variables form a solid welfare construct in the educational context, where students’ resilience and fear of failure, along with their sense of belonging, play central roles. Although the influence of school factors on student well-being is generally low, teaching enthusiasm and support promote positive school climates which are, in turn, crucial in reducing bullying.