Predicting Willingness to Give and Actual Alumni Giving of Master\u27s-Level Online and Onsite Graduates

Two binary logistic regression analyses were conducted across survey data from 254 master\u27s-level graduates to answer research questions about predicting Willingness to Give to their graduate alma mater and predicting Actual Alumni Giving behavior to their graduate alma mater. The predictor variables are dimensions from the community of inquiry theoretical framework (Social, Teaching, and Cognitive Presences), Gender, Graduation Age, Location of classes (onsite or online), State (in state or out of state), and Past Giving to Higher Education. The results of the Willingness to Give analysis indicate that the variables used in the regression equation are not statistically significant on their own, even while the overall model demonstrates significance. For the second analysis regarding predicting Actual Alumni Giving, State, Graduation Age, and Past Giving to Higher Education are statistically significant predictive variables. The results suggest that a one-point increase in the Cognitive mean increases the odds of donation by nearly 17%. The probability of Actual Alumni Giving decreases by nearly 48% if the master\u27s-level graduate is a former online student. Past charitable giving behavior to higher education increases the probability of actual giving by 93%