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A Quantitative Study of Perceived Factors That Influence Enrollment Within a Regional Conference Seventh-day Adventist School System

2024· article· en· W7014864693 sur OpenAlexaboutno aff

Notice bibliographique

RevueDigital Commons - Andrews University (Andrews University) · 2024
Typearticle
Langueen
DomaineComputer Science
ThématiqueEducational Challenges and Innovations
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésClosing (real estate)PerceptionQuarter (Canadian coin)Survey data collectionWork (physics)Survey researchSouth eastStatistical analysis
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Problem A significant challenge confronting Seventh-day Adventist schools is declining enrollment, with schools in the North America Division of the Seventh-day Adventist Church either closing or experiencing a substantial reduction in enrollment over the years. The purpose of this study is to identify the perceived factors influencing enrollment within the Allegheny East Conference school system, ultimately explaining the enrollment shift from 1277 students to 635 students over a twenty-year period within the Allegheny East Conference school system. The study also determined if there are significant differences in perceptions of the importance of these observed enrollment-related factors among participants who hold leadership positions (principals, superintendents, board members, and pastors), individuals who work under leaders (teachers), and ‘consumers’ of Allegheny East Conference educational services (parents and alumni). Additionally, this study examined any differences in perceptions of these factors among participants based on their year(s) of affiliation with the Allegheny East Conference school system. Method The research design selected for this study is a quantitative approach. A quantitative approach investigates a social phenomenon, utilizing numerical and statistical data. This research method analyzes the data to identify relationships and trends (Watson, 2015). To conduct this quantitative study, a survey questionnaire was distributed to the participants. The survey questions were used to identify which of the presented factors, based on the participants’ perceptions, were responsible for the decline in enrollment in the Allegheny East Conference school system. The factors the participants could choose from were leadership, curriculum, educational cost, lack of diversity, other school alternatives (private, charter, and public school), facility, lack of resources, teachers, lack of church support, not a priority, and others. Participants rated each factor based on their perception of what they believed contributed to the decline in enrollment. Participants were able to provide a rating between zero and four for what they believed were determining factors that led to the decline in enrollment (0 = not applicable, 1 = strongly disagree, 2 = disagree, 3 = agree, 4 = strongly agree). Results The study's findings revealed that stakeholders perceive resources as the primary factor influencing shifts in enrollment in the Allegheny East Conference school system. Leadership and tuition costs were equally identified as the second most influential factors. The third factor believed to contribute to enrollment shifts is the school's curriculum. Following closely as the fourth factor is the condition of the school buildings. Teachers were recognized as the fifth factor impacting enrollment, while the support from churches ranked sixth. Parents' prioritization of a Seventh-day Adventist education for their child(ren) emerged as the seventh factor influencing enrollment shifts. Eighth on the list, according to stakeholders, is parents' ability to choose from various school options. Lastly, racial diversity was perceived as the least influential factor leading to shifts in enrollment. A multivariate test (Wilks’ Lambda) evaluated any differences in perceptions of the importance of factors associated with enrollment decline in the Allegheny East Conference school system among leaders (principals, superintendents, board members, pastors), teachers, and education ‘consumers’ (parents, alumni). Although this multivariate test reached nominal significance (p < 0.05), among the individual factors, only ‘quality of teachers’ showed significance (p < 0.05), with mean importance ratings of 3.89, 4.21 and 4.37, respectively (i.e., leaders’ perceptions of the importance of teachers were lower than those of parents and alumni). Another multivariate test (Wilks’ Lambda) conducted to examine possible differences in perceptions of the importance of those factors related to enrollment decline, based on the year(s) participants became affiliated with the Allegheny East Conference school system, reached significance (p = 0.001). Aggregating affiliation year into seven subcategories to achieve balanced groups and evaluating these subcategory groups as an independent variable, with the factors related to enrollment decline as dependent variable’s, found significant differences in perceived importance for racial diversity (p < 0.05), school choice (p < 0.01), and quality of teachers (p < 0.01). Conclusions Based on the results of this study, it can be stated that the participants in the study believe that resources, or the lack thereof, are the main factors that impact enrollment in the Allegheny East Conference school system. Other strong factors that impact enrollment include leadership, tuition cost, curriculum, condition of the facility, and the quality of the teachers. Racial diversity was perceived to not have any impact on enrollment. A possible difference was found – in perceptions of the ‘quality of teachers’ factor related to enrollment decline – among leaders, teachers, and ‘consumers’ of education; furthermore, some differences emerged in the perceived importance of factors related to enrollment decline due to the years when affiliated with the Allegheny East Conference school system.

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)0,007
score de la tête « metaresearch » (Gemma)0,013
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,036

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,013
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,002
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,054
Tête enseignante GPT0,255
Écart entre enseignants0,202 · 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
Publié2024
Routes d'admission1
Résumé présentoui

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