The Role of the Myers-Briggs Personality Type and Emotional Intelligence in Marital Satisfaction among Married Female Students at Tehran University
Bibliographic record
Abstract
The present descriptive correlational study was conducted to predict the role of emotional intelligence and the Myers-Briggs personality type in marital satisfaction in married female students Tehran University in 2015. The study population consisted of all the married female students at Tehran University who visited Iran MBTI center between 22.04.2015 and 21.06.2015. A total of 140 students were selected as the study samples. Data were collected using the Myer-Briggs Type Indicator, the Bar-On Emotional Intelligence Questionnaire and the Enrich Marital Satisfaction Scale and were then analyzed in SPSS-20 using the multivariate regression analysis. The results obtained showed that emotional intelligence (interpersonal and intra-personal skills) and personality type (extraverted and structured) can predict marital satisfaction.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".