The Relationship between Maternal Acceptance-Rejection Levels and Preschoolers’ Social Competence and Emotion Regulation Skills
Bibliographic record
Abstract
The purpose of this research was to examine the relationship between maternal acceptance-rejection levels and preschool children’s social competence and emotion regulation skills. The study group of the research, which was designed in survey method, consisted of 303 voluntary mother-child dyad. The participant children were attending a preschool in 2014-2015 academic year, in Istanbul and they were selected by random cluster sampling method. The “Personal Information Form”, the “Parental Acceptance-Rejection Questionnaire-Mother Form (PARQ)”, the “Social Competence and Behavior Evaluation-30 (SCBE-30)” and the “Emotion Regulation Checklist” were used as data collection tools.As a result of the study, it has been found that there is a positive significant relationship between maternal acceptance level and children’s “Social Competence” subscale of SCBE-30 and their emotional regulation skills. In addition to this result, it has been found that maternal acceptance level didn’t differentiated according to age and gender of the child; however the average scores of PARQ’s “Warmth/Affection” subscale have been differentiated in favor of the girls. It has been found that “Social Competence” and “Anger-Aggression” subscales of SCBE-30 were significantly differentiated according to gender; “Anger-Aggression” scores of the boys were higher than the girls, whereas “Social Competence” scores of the girls were higher than the boys. Moreover, it has been found that “Lability-Negativity” subscale scores of Emotion Regulation Checklist have been differentiated according to gender; girls showing less labile/negative emotional reactions. Finally, it has been found that child’s social competence and emotional regulation skills increase as the age increases.
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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 | 0.001 | 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 | 0.002 | 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".