Function of Family-of-origin Experiences and Marital Adjustment among Married Iranian Students of Universiti Putra Malaysia
Bibliographic record
Abstract
The purpose of this study was to examine the relationships between family-of-origin experiences and maritaladjustment in a sample of married postgraduate Iranian students in Malaysia. The sample consisted of 220married students who were randomly recruited to participate in the study through their email addresses. Therespondents completed demographic information and two questionnaires including Family-of-Origin Scale (FOS;Hovestadt, et al., 1985) and the Locke-Wallace Marital Adjustment Test (LWMAT; Locke & Wallace, 1959). Acorrelational survey design was utilized in the present study. Data analysis included frequencies, percentages,mean scores, Pearson's correlation, and multiple regression analysis. The results indicated that Family-of-originexperiences were positively and significantly correlated with marital adjustment. In addition, this study indicatedthat marital adjustment influences by family-of-origin experiences.
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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 | 0.000 |
| 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".