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Predicting social adjustment based on successful intelligence, moral intelligence and psychological toughness in abused teenagers
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Mohammad Ebrahimi    , Mitra Kamiabi , Najmeh Hajipoor , Amanollah Soltani |
| Assistant Professor, Department of Educational Sciences and Psychology, Faculty of Literature and Humanities, Kerman Branch, Islamic Azad University, Kerman, Iran. , kamyabi@gmail.com |
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Abstract: (1145 Views) |
Introduction: Abused teenagers have many behavioral and psychological problems. Therefore, the purpose of this research was to predict social adjustment based on successful intelligence, moral intelligence, and psychological toughness in abused teenagers.
Method: The present research is of the correlation type. The current study population included all the abused teenagers living in day and night welfare centers of Kerman province in 2021, out of which 250 people were selected as a sample by stratified random sampling method. Short-form questionnaires of the California Social Adaptation Scale, Sternberg's Successful Intelligence Questionnaire, Lenik and Kiel's Moral Intelligence Questionnaire, and Kubasa's Hardness Scale were used.
Results: The results showed that successful intelligence, moral intelligence, and mental toughness are able to predict social adjustment. Successful intelligence, with a regression coefficient value of B=0.33 (P<0.001), moral intelligence with a value of B=0.34 (P<0.001), and mental toughness with a value of B=0.51 (P0.001). They could directly predict social adjustment (P<0.001).
Conclusion: It can be concluded that successful intelligence, moral intelligence, and mental toughness are predictors of social adjustment in abused teenagers. It is suggested that social adaptation training courses be held to increase the successful intelligence, moral intelligence, and mental toughness of abused teenagers. |
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| Keywords: successful intelligence, moral intelligence, mental toughness, social adaptation, misbehaved teenagers. |
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Full-Text [PDF 273 kb]
(467 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2023/06/14 | Accepted: 2023/08/26 | Published: 2023/10/2
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