Cultural Orientation and Marital Quality: The Mediating Role of Gender Role Attitudes
Bibliographic record
Abstract
Objective: This study aimed to investigate the relationship between cultural orientation and marital quality among Canadian married individuals, with a specific focus on the mediating role of gender role attitudes. Methods and Materials: The study employed a descriptive correlational design involving 385 married participants residing in Canada, selected using stratified random sampling based on Krejcie and Morgan's sample size guidelines. Standardized instruments were used to assess marital quality (Dyadic Adjustment Scale), cultural orientation (Cultural Orientation Scale), and gender role attitudes (Gender Role Beliefs Scale). Data were analyzed using SPSS-27 for descriptive and correlational statistics, and AMOS-21 was used to perform structural equation modeling (SEM). Model fit was evaluated using χ²/df, GFI, AGFI, CFI, TLI, and RMSEA indices. Mediation analysis included both direct and indirect path coefficients. Findings: Pearson correlation analysis showed that marital quality was significantly related to both cultural orientation (r = .42, p < .001) and gender role attitudes (r = .48, p < .001), with a significant correlation between cultural orientation and gender role attitudes as well (r = .45, p < .001). The SEM results indicated that the model had good fit (χ²/df = 2.11, GFI = 0.94, CFI = 0.96, RMSEA = 0.053). Cultural orientation significantly predicted marital quality directly (β = 0.28, p < .001) and indirectly through gender role attitudes (β = 0.22, p < .001), confirming a partial mediating effect. Gender role attitudes also had a strong direct effect on marital quality (β = 0.49, p < .001). Conclusion: The findings underscore the critical role of cultural orientation and internalized gender role attitudes in shaping marital quality. Gender role attitudes serve as a psychological pathway through which cultural values influence relational satisfaction, emphasizing the need for culturally sensitive approaches in marital counseling and intervention.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".