Statistical Analysis: Focusing on Why Kalamazoo College Alumni Donate Different Amounts of Money
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Authors
Park, Daniel
Issue Date
1993
Type
Thesis
Language
en_US
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Abstract
My Senior Individualized Project was a statistical analysis of the data stored
in Kalamazoo College's Development Office database, which contained
information on alumni donors who have made contributions to the
annual fund in the last five completed campaigns or fiscal years. The
major emphasis of this project was to determine which variables in the
Development Office's database influenced the amount of dollars donated
by alumni donors in a given year. Specifically, this project tried to
determine which variables had a significant influence on the amount of
dollars donated, when testing alumni donors in four specific age groups:
(1) 35 years or younger, (2) 31-40 years old (3) 41-50 years old, and (4) 51-60
years, and (5) 61 years or older. In addition, this project tried to determine
the relative influence of each variable tested on the amount of dollars
donated in a specific year.
The results indicated, that the amount of dollars donated by alumni
donors in a given year was dependent on several of the variables stored in
the Development Office's database. Overall, the major variable that had
the strongest influence on TOTAL$(yr) was alumni donors lifetime total
of dollars donated to Kalamazoo College (LIFEyr). For alumni 31-40 years,
old AGE and LIFE(yr) were the major variables that influenced the
amount of dollars donated by alumni donors in a given year. The results
also indicated that there are several variables that TOTAL$(yr) was
dependent on, but their relative influence on TOTAL$(yr) when trying to
explain the variability observed in TOTAL$(yr) were relatively
insignificant. The results overall with the exception of Age (only when
testing alumni 31-40 years old) and LIFE(yr) the variables in the data could
not really be used to target new alumni donors.
Finally, the results indicated that there are several variables that
need to be included in the multiple regression models, in order to explain
why alumni donors donate different amounts of money. Most noticeably,
the number of years each alumni donor had donated to K-college (time)
an and the intangible factors like an alumni donors goodwill towards KCollege
must somehow be incorporated into the multiple regression
models. Also, the data from the Development Office's data base has a
significant amount of missing information on alumni donors over the
age of 35.
Description
iii, 84 p.
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