{"id":{"repo_id":"south-carolina","oai_identifier":"oai:scholarcommons.sc.edu:etd-2883"},"canonical_url":"https://search.dev.ndltd.org/etd/south-carolina/oai:scholarcommons.sc.edu:etd-2883","repository":{"repo_id":"south-carolina","name":"University of South Carolina","base_url":"https://scholarcommons.sc.edu/do/oai/"},"display":{"title":"Theoretical Antecedents of A New Model of Mental Health: Predictors of Well-Being and Psychopathology","abstract":"<p>This study examines the predictive power of personality, social support, and environmental variables in classifying children using a new model of mental health. The study was based on Greenspoon and Saklofske (2000), who proposed a Dual-Factor model of mental health that incorporates information about a subjective child's well-being, along with psychological symptoms, to more fully capture a child's current functioning. Results from multinomial logistic regression analyses showed that the proposed model was able to accurately classify children above and beyond chance. Furthermore, results from these analyses show that the predictive power of these variables varies across children with different levels of subjective well-being and psychopathology. Implications for practice and future directions are also discussed.</p>","abstract_html":"&lt;p&gt;This study examines the predictive power of personality, social support, and environmental variables in classifying children using a new model of mental health. The study was based on Greenspoon and Saklofske (2000), who proposed a Dual-Factor model of mental health that incorporates information about a subjective child&#x27;s well-being, along with psychological symptoms, to more fully capture a child&#x27;s current functioning. Results from multinomial logistic regression analyses showed that the proposed model was able to accurately classify children above and beyond chance. Furthermore, results from these analyses show that the predictive power of these variables varies across children with different levels of subjective well-being and psychopathology. Implications for practice and future directions are also discussed.&lt;/p&gt;","abstract_has_math":false,"creators":["Lyons, Michael Duncan"],"institution":null,"degree_name":"M.A.","degree_level":"Campus Access Thesis","degree_discipline":"Educational Studies","degree_department":null,"school":null,"contributors":["E. Scott Huebner"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-01-01T08:00:00Z","date_published":"2011-01-01T08:00:00Z","updated_at":"2026-07-24T04:37:56Z","subjects":["Education","Educational Psychology","Adolescents","Life satisfaction","Positive Psychology","Well-being"],"languages":[],"rights":["© 2011, Michael Duncan Lyons"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarcommons.sc.edu/etd/1882","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["E. 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The study was based on Greenspoon and Saklofske (2000), who proposed a Dual-Factor model of mental health that incorporates information about a subjective child's well-being, along with psychological symptoms, to more fully capture a child's current functioning. Results from multinomial logistic regression analyses showed that the proposed model was able to accurately classify children above and beyond chance. Furthermore, results from these analyses show that the predictive power of these variables varies across children with different levels of subjective well-being and psychopathology. Implications for practice and future directions are also discussed.</p>"]},{"key":"dc:title","label":"Title","values":["Theoretical Antecedents of A New Model of Mental Health: Predictors of Well-Being and Psychopathology"]}]}],"canonical_facts":{"dc:contributor":["E. 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