Predicting student well-being: Network analysis based on PISA 2018

dc.contributor.author	Govorova, E.
dc.contributor.author	Benítez, Isabel
dc.contributor.author	Muñiz Fernández, José
dc.date.accessioned	2020-09-24T07:44:05Z
dc.date.available	2020-09-24T07:44:05Z
dc.date.issued	2020
dc.identifier.citation	International Journal of Environmental Research and Public Health, 17(11), p. 14014-18 (2020); doi:10.3390/ijerph17114014
dc.identifier.issn	1661-7827
dc.identifier.uri	http://hdl.handle.net/10651/56633
dc.format.extent	p. 14014-18
dc.language.iso	eng
dc.relation.ispartof	International Journal of Environmental Research and Public Health
dc.rights	© 2020 Govorova et al.
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086355870&doi=10.3390%2fijerph17114014&partnerID=40&md5=d5fd6215066635110cabdf6ef080df47
dc.title	Predicting student well-being: Network analysis based on PISA 2018
dc.type	journal article
dc.identifier.doi	10.3390/ijerph17114014
dc.relation.publisherversion	http://dx.doi.org/10.3390/ijerph17114014
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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