How parent-child relationship affects adolescents' compulsive buying behaviour through the mediator of self-esteem
Bibliographic record
Abstract
Consumer compulsive buying is an important area of inquiry in consumer behaviour research. While the previous studies on the relationship between compulsive buying and familial variables have been implied by research in social sciences and mainly about adults, it has not yet been examined fully in the marketing literature. The present study addresses this void by investigating how three parent-child relationship factors (cohesion, expressiveness and conflict) could have both direct and indirect (through the mediator of self-esteem) effects on children's compulsive buying behaviour. This research investigated the relationship among three major concepts, i.e. parent-child relationship, self-esteem, and adolescents' compulsive buying behaviour. The parent-child relationship was measured according to fathers', mothers' and children's responses. The findings indicated that both parent-child relationship and self-esteem may affect significantly the extent of adolescents' compulsive buying behaviours. Gender, availability of pocket money and involvement in part-time jobs were also found to predict children's compulsive buying behaviour in a sample of Canadian adolescents. Both theoretical and practical implications are discussed in the study. Suggestions for future research are also offered at the end.
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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 | 0.003 |
| 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 | 0.000 |
| 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".