Parenting Self-Efficacy and Dyadic Autonomic Responses During Parent-Child Conflict
Bibliographic record
Abstract
In this thesis, I explored the relationship between parenting self-efficacy and autonomic self-regulation, using respiratory sinus arrhythmia (RSA) as a dynamic and sensitive indicator of physiological affective regulation during parent-adolescent conflict. Grounded in social cognitive theory, I examined how parenting self-efficacy relates to parents’ physiological affective responses during conflict interactions with their children. The data for the two studies presented herein were drawn from an archival dataset of a diverse sample of dyads comprised of 162 youth (ages 10-13; 47% female; 60% racial/ethnic minority) and their caregivers (94% female; 48% racial/ethnic minority). In Study 1, I used latent growth curve modeling to examine parental RSA trajectories, demonstrating that parenting satisfaction—the affective component of parenting self-efficacy reflecting a sense of fulfillment—predicts changes in the trajectory of physiological affective regulatory responses during the anticipation of conflict. High-satisfaction parents showed minimal anticipatory reactivity with RSA withdrawal occurring as conflict began, suggesting a more context-sensitive regulatory approach, whereas low-satisfaction parents exhibited RSA withdrawal during anticipation. In Study 2, I extended this inquiry into the dyadic context, analyzing whether parenting self-efficacy moderated time-lagged RSA synchrony in parent-adolescent interactions. Findings indicated that parenting cognitions were not directly associated with time-lagged physiological synchrony in parent-child dyads. Together, these studies provide insights into the physiological mechanisms underpinning parenting cognitions and contribute to a nuanced understanding of PSE’s role in dyadic self-regulation. Implications include the potential for interventions targeting parental self-regulatory capacities through practices like mindfulness and biofeedback, supporting both parental efficacy and adolescent developmental outcomes in emotionally charged contexts.
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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 | 0.008 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".