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Enregistrement W4399501737 · doi:10.62811/th.0134

Impact of Television Advertising on Food Habit of Children: The Case of Lebanese Armenian Private Middle Schools 8th and 9th Graders

2013· dissertation· en· W4399501737 sur OpenAlexaboutno aff
Tamar Kevork Nalbandian

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineBusiness, Management and Accounting
ThématiqueConsumer Behavior in Brand Consumption and Identification
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAdvertisingHabitConsumption (sociology)PopulationArmenianCronbach's alphaPsychologyPurchasingQuarter (Canadian coin)MarketingBusinessGeographySocial psychologyMedicineDevelopmental psychologyEnvironmental healthSocial scienceSociology

Résumé

récupéré en direct d'OpenAlex

Children have always been a lucrative target for advertisers and marketers due to their spending power and their influence on their parent's purchasing decisions. Marketers reach children by all types of promotions from television to smart phones, internet, and newsprints. The observed growing interest of certain food categories marketers in targeting children and teen eventually started to create concerns about the effects of those aggressive advertising messages on children. Consequently, certain countries like the USA, Switzerland, Canada and Australia have discussed and even established laws that protect children from the excessive targeting through television advertisements by certain food categories marketers. The purpose of the present study was to investigate the impact of television advertisements on the food habits of 8th and 9th graders of six Lebanese Armenian middle schools selected at random from the study target population of Lebanese Armenian middle schools. A thirty items Survey Questionnaire was administered to the 352 8th and 9th graders. A Cronbach Alpha and Factor Analysis were used to establish the reliability and validity of the administered Questionnaire. Five research questions were investigated: (1) Do Television food advertisements targeting 8th and 9th graders have an impact on their food consumption habits? (2) Is there a relationship between socio-economic status (tuition level) and attitude toward 8th and 9th graders' food consumption habit? (3) Is there a relationship between socio-economic status (tuition level) and TV watching habit of the 8th and 9th graders? (4) Do gender differences influence food consumption habits of the 8th and 9th graders? (5) Do gender differences influence TV watching habit of the 8th and 9th graders? Results of this study showed that that the more the 8th and 9th graders view television, the more they are aware, know and like television food ads and the worse is their eating behavior habits. Furthermore, the more positive is their attitude toward those advertised food categories the worse is their eating behavior habits. Consequently, the more the 8th and 9th graders trust advertised food categories on television the worse is their eating behavior habits. The study also showed that the lower the socio economic status the higher is the consumption of advertised food and television viewing habits. Finally, results showed that gender differences and nature of food consumption habit of the 8th and 9th graders are not dependent and they are dependent with their television viewing habit. From the results of this study, we can conclude that certain food categories companies and marketers are relatively successful in targeting through television advertisements middle school age children (11-14 yrs). Thus, in order to minimize the negative impacts of television advertisements targeted to children, parents should be encouraged to monitor their children's television viewing habits, school officials need to introduce nutritional educational programs in their curriculum. Lebanese government and health organizational agencies should introduce laws that force advertisers to conduct themselves ethically to protect children from misleading television food commercial appeals.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,049
Score d'incertitude au seuil0,097

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,023
Tête enseignante GPT0,268
Écart entre enseignants0,245 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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