Using Classification Trees to Predict Alumni Giving for Higher Education

Autor/inn/en	Weerts, David J.; Ronca, Justin M.
Titel	Using Classification Trees to Predict Alumni Giving for Higher Education
Quelle	In: Education Economics, 17 (2009) 1, S.95-122 (28 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0964-5292
Schlagwörter	Higher Education; Income; Donors; Alumni; Classification; Public Support; Outcomes of Education; Educational Finance; Individual Characteristics; Research Universities; Religious Factors; Family Income; Educational Attainment; Majors (Students); Attitude Measures; Private Financial Support; Prediction; Evaluation Methods; Wisconsin + Suchen Sie Ihr Suchwort? Hochschulbildung; Hochschulsystem; Hochschulwesen; Einkommen; Classification system; Klassifikation; Klassifikationssystem; Öffentliche Förderung; Öffentliche Trägerschaft; Lernleistung; Schulerfolg; Bildungsfonds; Personality characteristic; Personality traits; Persönlichkeitsmerkmal; Forschungseinrichtung; Familieneinkommen; Bildungsabschluss; Bildungsgut; Private Investition; Vorhersage
Abstract	As the relative level of public support for higher education declines, colleges and universities aim to maximize alumni-giving to keep their programs competitive. Anchored in a utility maximization framework, this study employs the classification and regression tree methodology to examine characteristics of alumni donors and non-donors at a research-extensive university in the United States. The study suggests that levels of giving relates to household income, religious background, degree and venue in which the alum keeps in touch with the campus, alumni beliefs about institutional needs, and the number of institutions competing for alumni gift dollars. Implications for future research and practice are discussed. (Contains 8 tables, 2 figures, and 1 note.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10