Mothers’ Attributions for Positive and Negative Child Behavior: Associations With Mothers’ ADHD Symptoms
Bibliographic record
Abstract
OBJECTIVE: Previous research has shown that parent attributions for child behavior have important implications on the parent-child relationship. The current study investigates whether mothers' level of ADHD symptoms is associated with their child-responsibility attributions for positive and negative child behavior. METHOD: Seventy-nine mothers of 6- to 11-year-old boys participated in this online study. Mothers completed questionnaires assessing their attributions, their ADHD symptoms, and their child's behavior. RESULTS: All mothers offered more child-responsibility attributions for positive behaviors than for negative behaviors. However, mothers with greater levels of ADHD symptoms did this to a lesser extent, blaming their child relatively more for negative behavior and giving their child relatively less credit for positive behavior. CONCLUSION: This is the first study demonstrating the association between mothers' ADHD symptoms and child-responsibility attributions. It is possible that these relatively more negative attributions could be underlying some of the parenting difficulties reported by parents with ADHD.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".