Humanistic environment, perceptions, and associated variables in predoctoral and allied dental programs: 2022 American Dental Education Association climate study results
Notice bibliographique
Résumé
OBJECTIVES: The objectives were to determine if there are differences in perception of programs' humanistic environment, and overall climate, and to determine the correlations between a positive overall climate, a humanistic environment, and humanistic leadership in United States and Canadian dental and allied dental programs. METHODS: The 2022 American Dental Education Association Climate Survey included 258 US dental and Canadian dental schools and allied dental education programs. The study aimed to measure dental schools and allied dental education programs' efforts to provide a humanistic and inclusive environment. This article reviewed the findings in relation to the objectives. The significance of explanatory variables was tested using logistic regression in PROG GLIMMIX of SAS. Cramer's Variable was calculated to determine the multicollinearity, indicating strong correlations among independent variables. RESULTS: A total of 258 programs responded to the survey, 238 programs in the United States, and 20 programs in Canada. 66 Dental schools responded, 192 Allied Dental Programs, 49 Dental Assisting programs from the United States, 137 Dental Hygiene (125 United States and 12 Canada), five Dental Laboratory technologies in the United States, and one Dental Therapy in the US allied dental education programs were grouped together (i.e., dental hygiene, dental laboratory tech, dental assisting, and dental therapy). Allied dental respondents were twice as likely to report their educational environment is humanistic, they were satisfied with the overall climate, and their leadership was committed to fostering a humanistic environment (p < 0.01) compared with dental respondents. Participants who identified their program as being humanistic were 9.1 times more likely to be satisfied with the overall climate of their program (p < 0.01). Participants who felt their leadership was committed to fostering a humanistic environment were 4.5 times more likely to be satisfied with the overall climate of their program (p < 0.01). Variables were identified as important to overall climate, humanistic environment, and humanistic leadership, such as a sense of community, training, and leadership's response to events. CONCLUSION: Leadership that establishes a humanistic climate providing education, training, and support to faculty, students, and staff creates a more positive perception of the overall climate by members of the community. Allied dental programs had a significantly higher perception of an inclusive climate than dental programs.
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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 | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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 ».