Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

Predicting Fundraising Performance in International Schools

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Predicting Fundraising Performance in International Schools

Published Date

2021-11

Publisher

Type

Thesis or Dissertation

Abstract

This is a quantitative research study designed to understand internal and external variables that influence annual fund performance at international schools. The study examined 1365 international school websites for financial data and found a sample of 69 institutions that had annual fund giving data that were publicly available. These 69 annual funds giving levels became the dependent variable for the study. The researcher selected 18 independent variables to predict annual giving performance for each school based upon previous philanthropic research and personal intuition. These independent and dependent variables were then applied to linear, non-linear, and logarithmic regression models. The highest correlation value amongst the quantitative models was the non-linear regression model with an R2 value of 0.848. This non-linear quantitative model is highly correlated with annual fundraising levels. This model allowed for the highest predictive level to understand which institutions overperformed and underperformed. The levels of financial transparency, geographic origin, and linear correlation with singular independent variables all were parts of the analysis in this research study. The external findings of this study demonstrated that there was a positive association of annual fund occurrence for international schools located in countries with high Human Development Index, Economic Freedom Index, and economic/historical connection with the United States.

Description

University of Minnesota Ph.D. dissertation. November 2021. Major: Organizational Leadership, Policy, and Development. Advisors: DAVID WEERTS, DEANNE MAGNUSSON. 1 computer file (PDF); xii, 266 pages.

Related to

Replaces

License

Collections

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Lundin, Daniel. (2021). Predicting Fundraising Performance in International Schools. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/259767.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.