The Relation between Maternal Personality and Internalizing/Externalizing Behaviors: Mediating Role of Maternal Alexithymia, Children’s Alexithymia and Emotional Regulation
Bibliographic record
Abstract
Objective: Although many studies have investigated the effect of maternal personality on internalizing and externalizing behaviors of a child, the role of both mother and child’s emotional mechanisms in these behaviors is little explored. The present study was focused on the relationship between the mother’s personality, and internalizing and externalizing behaviors of children with the mediating role of children’s alexithymia, mother’s alexithymia, and children’s emotion regulation (ER). Method: 162 mothers and elementary school-aged children were recruited regarding their demographics and completed the NEO personality inventory, Child behavior checklist, Toronto alexithymia scale, Children’s alexithymia measure, and Children’s emotion regulation checklist. Data were analyzed using SPSS (ver.23), and AMOS (ver.23). Results: Structural equations modeling demonstrated an acceptable model fit to data (CMIN/DF = 1.233, RSME = 0.038, GFI = 0.962). Mother’s alexithymia predicted internalizing problems whereas it didn’t predict externalizing problems in children. Also, the bootstrap results indicated that the mother and children’s alexithymia and children’s ER had mediating roles between mother’s personality and externalizing and internalizing problems. Conclusion: The present results demonstrated that mother’s personality can indirectly, through mother and children’s alexithymia and children’s ER act as an important factor in development of mental problems. In other words, findings indicated that children’s emotional development is not a one-way road, but it is a mutual process that involves both the mother and the child.
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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 | 0.000 |
| 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) | 0.002 | 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".