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dc.contributor.authorCamilleri, Liberato-
dc.contributor.authorCefai, Carmel-
dc.date.accessioned2023-01-31T14:24:47Z-
dc.date.available2023-01-31T14:24:47Z-
dc.date.issued2023-
dc.identifier.citationCamilleri, L., & Cefai, C. (2023). Prosocial behaviour of students in Maltese schools: A multilevel model. 20th conference of the applied stochastic models and data analysis international society ASMDA2023 and demographics2023 workshop, Heraklion. 1-14.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/105824-
dc.description.abstractProsocial behaviour includes a wide range of actions such as helping, sharing, comforting and cooperating. These actions are characterized by a concern for the rights, feelings and welfare of other people. The term originated during the 1970s as an antonym of antisocial behaviour. Prosocial behaviour of school children aged between 6 and 16 years is a complex phenomenon resulting from factors, including biological, psychological and social factors. The main objective of this paper is to identify home-, class-, school- and individual-related factors that are significantly related to prosocial behaviour and develop new ways of understanding, promoting and enhancing this behaviour in Maltese schools. The Strengths and Difficulties Questionnaire (Goodman 1997) was used to generate the prosocial behaviour scores. A proper methodology for analyzing hierarchical structured data where observations are nested within groups is multilevel modelling. This paper presents a three-level random intercept models that accommodate random effect within each level of nesting and examines the contribution of a number of predictors in explaining variations in the prosocial behaviour scores elicited from 1578 students attending primary and secondary state, church and independent schools. The model identifies individual-related variables, particularly engagement, diagnosis and intervention, as better predictors of prosocial behaviour than home-, classroom- and school-related variables.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectProsodic analysis (Linguistics) -- Researchen_GB
dc.subjectQuadrature domainsen_GB
dc.subjectEducation -- Social aspects -- Malta -- Case studiesen_GB
dc.subjectInclusive education -- Maltaen_GB
dc.subjectBehavioral assessment of childrenen_GB
dc.titleProsocial behaviour of students in Maltese schools : a multilevel modelen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencename20th conference of the applied stochastic models and data analysis international society ASMDA2023 and demographics2023 workshopen_GB
dc.bibliographicCitation.conferenceplaceHeraklion, Greece. 06-09/06/2023.en_GB
dc.description.reviewedpeer-revieweden_GB
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