Predicting Alumni [electronic resource] : ae Gift Giving Behavior: A Structural Equation Model Approach / John Wayne Mosser.

This dissertation focuses on predicting alumni gift giving behavior at a large public research university (University of Michigan). A conceptual model was developed for predicting alumni giving behavior in order to advance the theoretical understanding of how capacity to give, motivation to give, an...

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Online Access: Full Text (via ERIC)
Main Author: Mosser, John Wayne
Format: Electronic eBook
Language:English
Published: [S.l.] : Distributed by ERIC Clearinghouse, 1993.
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Summary:This dissertation focuses on predicting alumni gift giving behavior at a large public research university (University of Michigan). A conceptual model was developed for predicting alumni giving behavior in order to advance the theoretical understanding of how capacity to give, motivation to give, and their interaction effect gift giving behavior. The study sample consisted of 110,010 respondents (44 percent response rate) to a 1986 University of Michigan Alumni Census survey. The study used structural equation models with latent variables and the Partial Least Squares (PLS) computer statistical package. The study revealed several theoretical findings as well as practical implications including that: (1) PLS model results provide a basis upon which to make market segmentation decisions for an alumni body; (2) PLS modeling technology make it possible to gauge the impact of a change in any exogenous variable on alumni gift giving behavior; (3) involvement of fund raising practitioners with students prior to graduation may assist in the transition from student to alumni donor; and (4) new electronic screening technologies will undoubtedly change the way institutions think about alumni research in the future. A seven point model for building effective alumni fund raising programs is provided. Appendices include the Alumni Census Questionnaire. (Contains 82 references.) (GLR)
Item Description:ERIC Document Number: ED355883.
ERIC Note: Doctoral Dissertation, University of Michigan.
Physical Description:183 p.
Audience:Researchers.