The academic program life cycle (APLC) concept states each program's life flows through several stages: introduction, growth, maturity, and decline. A mixed-influence diffusion growth model is fitted to annual enrollment data on academic programs to analyze the factors determining progress of academic programs through their life cycles. The…

This manuscript summarizes an institutional research study carried out at Bowling Green State University (BGSU) concerning factors affecting time to bachelor's degree attainment. Tuition sensitivity and concern about efficient use of institutional resources point to the need for decreasing students' time-to-degree. This study enlarges upon an…

Enrollment forecasting is the central component of effective budget and program planning. The integrated enrollment forecast model is developed to achieve a better understanding of the variables affecting student enrollment and, ultimately, to perform accurate forecasts. The transfer function model of the autoregressive integrated moving average…

The ordinal regression method was used to model the relationship between the ordinal outcome variable, e.g., different levels of student satisfaction regarding the overall college experience, and the explanatory variables concerning demographics and student learning environment in a predominantly minority health sciences center. The outcome…

Logistic and Cox regression methods are practical tools used to model the relationships between certain student learning outcomes and their relevant explanatory variables. The logistic regression model fits an S-shaped curve into a binary outcome with data points of zero and one. The Cox regression model allows investigators to study the duration…