Canadian Adolescent Gambling Inventory (CAGI) Phase III Final Report
Notice bibliographique
Résumé
The development and psychometric evaluation of the Canadian Adolescent Gambling Inventory (CAGI) was undertaken in two phases. Phase I consisted of: (a) an examination of how problem gambling is conceptualized, defined and measured in the literature; and (b) the development of a new conceptual framework, definition and means of measurement. This phase of the research involved an extensive review of the literature, consultation with a panel of experts in the field and focus groups with adolescents. The result was the development of a new conceptual framework and operational definition and the development of a draft instrument for measuring problem gambling. Phase II of the project involved the fine‐tuning and testing of the validity and reliability of the instrument developed in Phase I. This was accomplished by testing both an English and French version on a sample of adolescents drawn from school populations in Manitoba and Québec. Data collection included a pilot test with 195 students from Manitoba and 277 students from Québec. This was followed by a general school survey with 2,394 students, a retest of 343 students from the general school survey, and clinical validation interviews with 109 students who initially participated in the general school survey. The original Phase II research design proposed utilizing two external sources of data to interpret scale scores and establish cutscores for levels of risky gambling behaviour; namely youth in treatment for gambling problems and clinician’s assessments. It is important to assess the classification accuracy of the instrument (i.e., sensitivity, specificity, positive and negative predictive values) for detecting ‘problem gambling cases’ against a reference standard such as a case assessed by an expert interviewer. During Phase II, we were unable to locate any 12–17 year olds in treatment for a gambling problem. As well, the clinical interviews with school students resulted in very few students being classified as problematic gamblers. Therefore, in the absence of external validation criteria and expert consensus, frequency distributions and measures of central tendency were used to determine ‘abnormal’ gambling behaviour for a school sample of gamblers. As such, cutscores and score interpretations provided by Phase II work were temporary. The results needed to be cross‐validated with other relevant samples; particularly, samples that include youth with gambling problems. Phase III addressed the limitation of Phase II by reaching a new sample of youth who were at greater risk of having problems with gambling (e.g., adolescents who were receiving treatment for substance abuse or were receiving services from youth centres) or who were experiencing problems with gambling.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,020 | 0,005 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».