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Record W4416950332 · doi:10.63963/001c.151000

Gender as a Moderator of Role Model Influence and Adolescents’ Consumer-Related Behavioral Intentions

2011· article· en· W4416950332 on OpenAlexaff
Kirby L.J. Shannahan, Rachelle J. Shannahan, Alan J. Bush, RICHARD A. ROCCO

Bibliographic record

VenueMarketing Management Journal · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsModerationLISRELStructural equation modelingAppealBehavioral inhibitionGender roleBehavioral modeling

Abstract

fetched live from OpenAlex

The study explores gender as a moderator of the relationship between the influence of various role models and adolescents’ consumer-related behavioral intentions. A quantitative survey of 175 adolescents was conducted measuring role model influence and behavioral intentions. The LISREL model showed that gender was a significant moderator of the relationship and indicated that mothers and entertainers had a more positive impact on adolescent females’ behavioral intentions while fathers had a negative influence. Fathers and teachers had a more positive influence on adolescent males’ behavioral intentions. By better understanding gender differences among adolescents, marketers can develop more meaningful marketing communications programs to appeal to and motivate an adolescent target audience.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.251
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2011
Admission routes1
Has abstractyes

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