Relational Commitment as Predicted by Partner Dependability and Emotional Support
Keywords:
Relational Commitment, Partner Dependability, Emotional Support, Romantic Relationships, IraqAbstract
This study aimed to examine the predictive roles of partner dependability and emotional support in relational commitment among individuals in romantic relationships. The research employed a correlational descriptive design with a sample of 380 participants from Iraq, selected based on the Morgan and Krejcie sample size table. Standardized tools were used to assess relational commitment, perceived partner dependability, and emotional support. Data were analyzed using SPSS-27 software, employing Pearson correlation to evaluate the relationships between variables and multiple linear regression to test the predictive power of the independent variables on the dependent variable. The results revealed significant positive correlations between relational commitment and both partner dependability (r = .68, p < .01) and emotional support (r = .59, p < .01). Multiple regression analysis showed that the overall model was significant, F(2, 377) = 168.29, p < .001, explaining 47.2% of the variance in relational commitment (R² = .472). Both partner dependability (β = .46, t = 9.87, p < .001) and emotional support (β = .34, t = 7.51, p < .001) were found to be significant predictors, with partner dependability having a stronger predictive value. These findings suggest that relational commitment is substantially influenced by both the perceived reliability and emotional responsiveness of one’s partner. The study highlights the importance of fostering consistent and supportive behaviors within romantic relationships to enhance commitment levels. The results have implications for relationship counseling and education programs, particularly within culturally specific contexts like Iraq.
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Copyright (c) 2024 Alaa Abdul Razzaq AL Nuaimi, Mohsen Golparvar, Zahra Yousefi (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.