Predicting depression based on dimensions of social-emotional competence among gifted students

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Ghasemi Mohammad Mehdi; Seif Diba; Pirzadi Hojat

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Journal Paper

Paper Information

Journal: RESEARCH AND DEVELOPMENT IN MEDICAL EDUCATION Year:621 | Volume: | Issue: Page(s): 1-7

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Title

Predicting depression based on dimensions of social-emotional competence among gifted students

Author(s)

Ghasemi Mohammad Mehdi | Seif Diba | Pirzadi Hojat | Issue Writer Certificate

Keywords

DepressionQ4

Gifted studentsQ4

Social-emotional competenceQ4

Abstract

Background: The current study aimed to explore the correlation between Depression and various aspects of Social-emotional competence in Gifted students. The study’s statistical population comprised all Gifted students enrolled in the National Organization for Development of Exceptional Talents, with the sample consisting of Gifted students from this organization in Tehran during the 2020/2021 academic year. Methods: The statistical population of the current study comprised all Gifted students studying in the National Organization for Development of Exceptional Talents, with the sample consisting of Gifted students from this organization in Tehran during the 2020/2021 academic year. The Children’s Depression Inventory (CDI) and the Social Emotional Competence Questionnaire (SECQ) were utilized as research tools. Data were analyzed using Pearson’s correlation and multiple regression methods. Results: The findings indicate a significant negative correlation between self-awareness and Depression, as well as between responsible decision-making and Depression among Gifted students. Conclusion: Given the correlation between emotional intelligence, Social-emotional competence, and Depression, it can be inferred that self-awareness and responsible decision-making are predictive factors for Depression among Gifted students.

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