Marital satisfaction, parenting stress, and family alliance: Parental perspective taking as a moderator
Bibliographic record
Abstract
Research has shown that family alliance (FA), operationalized as the quality of mother-father-child triadic interactions, is important for child socioemotional development. However, few studies have investigated the predictors of FA, and there are few longitudinal studies available. Accordingly, this study first examined whether mothers' and fathers' marital satisfaction and parenting stress during infancy predicted FA five years later, when their children entered kindergarten. Second, the moderating role of both parents' perspective-taking capacity as a moderator of these longitudinal associations was examined. The study was conducted with 113 intact families (mother-father-child). Marital satisfaction, parenting stress, and perspective taking were reported by both parents and FA was assessed by observation. Contrary to expectations, neither parent's marital satisfaction or parenting stress was directly related to family alliance. However, significant moderating effects were found for both parents' perspective taking, such that higher paternal and maternal parenting stress predicted poorer FA only among parents with relatively lower perspective-taking capacities. These findings suggest that some aspects of the quality of family interactions when children enter school can be predicted by mothers' and fathers' personal dispositions assessed as early as five years prior.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".