MétaCan
Menu
Back to cohort
Record W74953425

How parent-child relationship affects adolescents' compulsive buying behaviour through the mediator of self-esteem

2007· dissertation· en· W74953425 on OpenAlexaboutno aff
Zheng Wang

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2007
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySelf-esteemAffect (linguistics)Developmental psychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.037
GPT teacher head0.289
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueSpectrum Research Repository (Concordia University)Same topicConsumer Retail Behavior StudiesFrench-language works237,207