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A Weight and Meta-Analysis on the Academic Achievement of High School Students

dc.contributor.authorNunes, Catarina
dc.contributor.authorOliveira, Tiago
dc.contributor.authorSantini, Fernando De Oliveira
dc.contributor.authorCastelli, Mauro
dc.contributor.authorCruz-jesus, Frederico
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2022-04-23T22:39:47Z
dc.date.available2022-04-23T22:39:47Z
dc.date.issued2022-05-01
dc.descriptionNunes, C., Oliveira, T., Santini, F. D. O., Castelli, M., & Cruz-jesus, F. (2022). A Weight and Meta-Analysis on the Academic Achievement of High School Students. Education Sciences, 12(5), 1-17. [287]. https://doi.org/10.3390/educsci12050287
dc.description.abstractUnderstanding the determinants of academic achievement (AA) is crucial for virtually every stakeholder interested in personal development and individual and societal wellbeing. Extensive research in several areas, such as education, economics, or psychology, has addressed this topic, identifying a vast number of determinants that impact high school students’ AA. In this work, we perform a meta-analysis, including a weight analysis of 49 quantitative studies that investigate this topic, exploring the best predictors of high school students’ academic success. We also explore moderation effects. Our results show that academic self-efficacy and socioeconomic status are the best predictors of AA, and they are statistically significant. Other statistically significant predictors, albeit less common in the analyses, are mastery avoidance, motivation, sleep habits, and work avoidance. Implications for theory and practice and directions for future research are discusseden
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent17
dc.format.extent1716752
dc.identifier.doi10.3390/educsci12050287
dc.identifier.issn2227-7102
dc.identifier.otherPURE: 43439112
dc.identifier.otherPURE UUID: 01e00e7e-13b0-479a-a1be-f2d0bf432670
dc.identifier.othercrossref: 10.3390/educsci12050287
dc.identifier.otherScopus: 85129122903
dc.identifier.otherWOS: 000802402600001
dc.identifier.urihttp://hdl.handle.net/10362/136889
dc.identifier.urlhttps://www.scopus.com/pages/publications/85129122903
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:000802402600001
dc.identifier.urlhttps://www.mdpi.com/2227-7102/12/5/287
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0032%2F2018/PT
dc.relationUnderstanding the drivers of academic achievement: Evidence for Portugal’s high school system
dc.subjectacademic achievement
dc.subjectacademic success
dc.subjectquantitative
dc.subjectmeta-analysis
dc.subjectweight-analysis
dc.subjectComputer Science (miscellaneous)
dc.subjectGeneral Computer Science
dc.subjectEducation
dc.subjectPhysical Therapy, Sports Therapy and Rehabilitation
dc.subjectDevelopmental and Educational Psychology
dc.subjectPublic Administration
dc.subjectComputer Science Applications
dc.subjectSDG 4 - Quality Education
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.titleA Weight and Meta-Analysis on the Academic Achievement of High School Studentsen
dc.typereview
degois.publication.firstPage1
degois.publication.issue5
degois.publication.lastPage17
degois.publication.titleEducation Sciences
degois.publication.volume12
dspace.entity.typePublication
oaire.awardNumberDSAIPA/DS/0032/2018
oaire.awardTitleUnderstanding the drivers of academic achievement: Evidence for Portugal’s high school system
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0032%2F2018/PT
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication853ecbce-e18f-4776-8f64-a7cb038c4d2c
relation.isProjectOfPublication.latestForDiscovery853ecbce-e18f-4776-8f64-a7cb038c4d2c

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