Parental Psychological Aggression and Phubbing in Adolescents: A Moderated Mediation Model
Bibliographic record
Abstract
OBJECTIVE: The present study aimed to examine the mediated moderation effect underlying the association between parental psychological aggression and phubbing, as well as the mediating role of anxiety and moderating role of sex and grade. METHODS: Based on a cross-sectional study, a total of 758 Chinese junior high school students had completed measures on socio-demographic characteristics, parental psychological aggression, anxiety and phubbing. Structural equation modeling was adopted to examine the mediating effect of anxiety on the association between parental psychological aggression and phubbing. Multigroup analyses were conducted to explore whether the path coefficients differed by sex and grade. RESULTS: Mediation analysis indicated that anxiety could mediate the association between parental psychological aggression and phubbing. The indirect effect of parental psychological aggression on phubbing via anxiety was 0.12. Multigroup analyses revealed that the higher mediation effect of anxiety was more likely to be reported by boys and students from grade eight. CONCLUSION: Findings of the present study may inform prevention and intervention programs for phubbing in adolescents exposed to parental psychological aggression, by decreasing the anxiety and adopting selective strategies for different sex and grade groups.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".