Marital Commitment Mediates the Effects of Forgiveness and Alexithymia on Marriage Quality in Nursing Students
Bibliographic record
Abstract
Background: Nursing, as a demanding and stressful profession, can negatively impact the marital quality of nursing students. This study investigates the mediating role of marital commitment in the relationship between interpersonal forgiveness, alexithymia, and marital quality in nursing students in Ahvaz City, Iran. Methods: This study employed a descriptive correlational research design. A sample of 204 nursing students was selected using a convenience sampling method in the academic year 2022-2023. The subjects completed the interpersonal forgiveness measurement questionnaire (IFMQ), Toronto alexithymia scale (TAS), and dimensions of commitment inventory (DCI). Also, the revised dyadic adjustment scale (RDAS) was used to measure marital quality among the subjects. The proposed model was evaluated using the structural equation modeling (SEM) approach. The bootstrap test was employed to examine the indirect relationships. Data analysis was conducted using SPSS software, version 27 for preliminary exploration and AMOS software, version 24.0 for SEM analysis. The threshold for statistical significance was set at α=0.05. Results: Interpersonal forgiveness was significantly and positively correlated with marital quality and marital commitment in nursing students (P<0.001). Additionally, marital commitment positively and significantly correlated with marital quality (P<0.001). Alexithymia had a negative and significant correlation with marital commitment in nursing students (P<0.001) but did not show a significant correlation with marital quality. The indirect path from interpersonal forgiveness to marital quality through the mediating role of marital commitment was significant (P<0.001). Similarly, the indirect path from alexithymia to marital quality through the mediating role of marital commitment was also significant (P<0.001). Conclusion: Fostering forgiveness and open communication, which strengthens marital commitment, is paramount for promoting marital quality among nursing students. These findings provide valuable insights for relationship education programs and interventions tailored to this population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".