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Volume 14, Issue 3 (2022)
Iran J War Public Health 2022, 14(3): 287-293 |
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History
Received: 2022/03/29 | Accepted: 2022/07/12 | Published: 2022/08/13
Received: 2022/03/29 | Accepted: 2022/07/12 | Published: 2022/08/13
How to cite this article
Ghalenavi A, Mikaeili N, Ebadi M, Basharpoor S. Designing and Testing a Causal Model of Post-Traumatic Growth based on Personality Traits and Meaning in Life with the Mediating Role of Psychological Resilience in Veterans. Iran J War Public Health 2022; 14 (3) : 6
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1- Psychology Department, Psychology & Educational Sciences Faculty, University of Mohaghegh Ardabili, Ardabil, Iran
Abstract (825 Views)
Aims: This study aimed to provide a causal model of personality traits and meaning in life with post-traumatic growth, with a mediating role of psychological resilience in veterans.
Instrument & Methods: The method of this research is descriptive-correlational. Data analysis is done through path analysis and structural equations. The statistical population of the study was all veterans under the support of the Sabzevar Martyr Foundation in 2021 and 320 subjects were selected as a sample. To collect data, the post-traumatic growth inventory, the brief HEXACO inventory, the meaning in life questionnaire, and the Connor-Davidson resilience scale were used. All data analyzes were performed by SPSS 24 and LISREL 8.8 software.
Findings: The proposed model had a good fit (GFI: 0.86, CFI: 0.92). Also, personality traits and meaning in life, directly and indirectly, affected post-traumatic growth.
Conclusion: This model can be a good model for identifying the factors involved in the post-traumatic growth of veterans and the results of this study can be used for planning to increase post-traumatic growth.
Instrument & Methods: The method of this research is descriptive-correlational. Data analysis is done through path analysis and structural equations. The statistical population of the study was all veterans under the support of the Sabzevar Martyr Foundation in 2021 and 320 subjects were selected as a sample. To collect data, the post-traumatic growth inventory, the brief HEXACO inventory, the meaning in life questionnaire, and the Connor-Davidson resilience scale were used. All data analyzes were performed by SPSS 24 and LISREL 8.8 software.
Findings: The proposed model had a good fit (GFI: 0.86, CFI: 0.92). Also, personality traits and meaning in life, directly and indirectly, affected post-traumatic growth.
Conclusion: This model can be a good model for identifying the factors involved in the post-traumatic growth of veterans and the results of this study can be used for planning to increase post-traumatic growth.
Article number: 6
Keywords:
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