Developing a Structural Equation Model of Resilience Based on Self-Differentiation Mediated by Marital Adjustment in female nurses
Subject Areas :
Mohsen Kamaliania
1
,
Kiyanoush Zahrakar
2
,
Mehdi Arabzadeh
3
1 -
2 -
3 - Assistant Professor of Educational Psychology Faculty of Psychology and Educational Sciences
Keywords: resilience, self-differentiation, marital adjustment , Female Nurses.,
Abstract :
Resilience, as one of the key personality traits in coping with occupational and marital challenges, plays an important role. Identifying factors that enhance this trait can improve individuals' mental health and performance. Therefore, examining the variables that predict resilience seems essential. This study is a basic, descriptive-analytical research using a correlational approach and structural equation modeling. The statistical population consisted of 400 married female nurses working in public healthcare centers and hospitals in Alborz province, selected through multistage cluster sampling. The research tools included the Connor-Davidson Resilience Scale, the short version of the Self-Differentiation Scale (Skowron & Smith), and the Locke-Walsh Marital Adjustment Scale. Data analysis was conducted using SPSS version 26 and AMOS version 24. This study was approved by the Ethics Committee of Alborz University of Medical Sciences (IR.ABZUMS.REC.1401.297). Participants voluntarily participated in the study, and their data confidentiality was ensured. The results showed that self-differentiation (r=0/712) and marital adjustment (r=0/796) had a significant positive relationship with resilience at a confidence level of (0/01). Moreover, the mediating role of marital adjustment in the relationship between self-differentiation and resilience was confirmed. The results indicated that the data fit the conceptual model of the study. The findings suggest that for enhancing resilience in married nurses, policymakers in the health sector should pay more attention to the emotional, cognitive, and emotional factors of this group.