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Record W7014864693

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

2024· article· en· W7014864693 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - Andrews University (Andrews University) · 2024
Typearticle
Languageen
FieldComputer Science
TopicEducational Challenges and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsClosing (real estate)PerceptionQuarter (Canadian coin)Survey data collectionWork (physics)Survey researchSouth eastStatistical analysis
DOInot available

Abstract

fetched live from 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.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.054
GPT teacher head0.255
Teacher spread0.202 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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