A Proposed Predictive Model for Non-Profit Higher Education Institution Insolvency to Strengthen Existing Measures and Aid in Managerial Decision-Making

Autor/in	Carter, Rose A.
Titel	A Proposed Predictive Model for Non-Profit Higher Education Institution Insolvency to Strengthen Existing Measures and Aid in Managerial Decision-Making
Quelle	(2022), (79 Seiten) PDF als Volltext Verfügbarkeit Ph.D. Dissertation, Campbellsville University
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
ISBN	979-8-4387-4060-5
Schlagwörter	Hochschulschrift; Dissertation; Prediction; Models; Higher Education; Nonprofit Organizations; Statistical Analysis; Predictor Variables; Statistical Significance; Accounting; Educational Finance; Educational Equity (Finance); Fiscal Capacity; Money Management + Suchen Sie Ihr Suchwort? Thesis; Dissertations; Academic thesis; Vorhersage; Analogiemodell; Hochschulbildung; Hochschulsystem; Hochschulwesen; Nonprofit-Organisation; Statistische Analyse; Prädiktor; Abrechnung; Buchführung; Buchhaltung; Bildungsfonds; Finanzmittel
Abstract	This study aimed to assess the effectiveness of existing insolvency predictive models employed for non-profit Higher Education Institutions (HEIs) and test a proposed predictive model utilizing statistical and ratio analysis by comparing HEIs in operations with those that closed from 2017 to 2020. The researcher incorporated a non-experimental, qualitative, cross-sectional research design based on archival data to test eight hypotheses derived from two research questions. Phase one of the study involved gathering financial data pertaining to forty-eight HEIs and computing the ratios of interest. The second phase involved conducting independent sample t-tests for each of the variables to determine if the two independent groups exhibited statistically significantly different means for the predictor variables. Statistical significance was found for six of the seven variables: Accounts Receivable Turnover, Administrative Expense Ratio, Days Cash on Hand, Debt to Asset Ratio, Equity Ratio, and Program Service Expense Ratio. Program Service Revenue Ratio was not statistically significant. The final phase involved incorporating the six statistically significant predictor variables along with a Composite score variable currently utilized by the Department of Education (DOE) to assess fiscal health. The proposed model was statistically significant (p= 0.007) and provided increased explanatory power for the variability of the outcome variable, approximate percentage of variance accounted for was 45.7% (up from 35.2% with the DOE Composite-only). Classification "correctness" also improved from 68.8% with the DOE Composite predictor only model to 75% for the proposed model. This type of analysis, coupled with other approaches, can provide non-profit HEI leadership with the insight necessary to steer their institutions in the right direction. The intricacies of the research, as well as recommendations for future research, are presented. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01