The deleterious effects of not completing high school in the United States and around the world in the current monetary, societal, and employment climate make efforts toward increasing graduation rates an imperative. The impetus for educational reform for improving graduation rates is even more salient for students with disabilities who graduate at lower rates than their peers without disabilities (Stetser & Stillwell, 2014). To provide the multi-tiered systems of support (MTSS) necessary to engage in this reform, data-systems with accurate and timely information are necessary. This research included construction of Hierarchical Generalized Linear Models to investigate the individual- and school-level predictor variables associated with on-time high school graduation for students with disabilities. To that end, the research examined the relationships among (1) individual student demographic background variables (2) individual academic and behavioral school related variables (3) school-wide characteristics of the schools that students in the research study attended and (4) on-time graduation as defined by the Federal Uniform Graduation Rate criteria. This research revealed significant relationships between on-time graduation and individual-level variables for students with disabilities including grade point average, attendance, and primary disability labels of Autism Spectrum Disorder and Intellectual Disabilities across grade levels. Additional significant predictors were found at specific grade levels (e.g., socio-economic status and education in a more restrictive environment). Implications for research to practice include a focus on early intervention prior to high school to increase odds of on-time graduation for students with disabilities and inclusion of additional variables for students with disabilities in Early Warning Systems (EWS). Additionally, customizing EWS through analysis of predictor sensitivity for specific populations by school district or school was discussed.

Financial aid contributes significantly to higher education participation in South Africa. However, while research focused on how financial aid improved access to University, little is known about its effect on ‘on-time' degree completion. Therefore, this research aimed to investigate to what extent financial aid affected the likelihood of on-time graduation as a function of selected student input and higher educational factors for students' success in studying towards a Bachelor of Commerce (BCom) at the University of Cape Town (UCT). To better understand the above factors, the researcher conducted a quantitative study applying Event History Analysis (EHA) and the Input-Environment-Output (I-E-O) model (Astin, 1993). A logistic regression within a discrete-time model with a personperiod dataset was performed. Data from the 2013 to 2018 UCT student records formed the basis of this research with a sample size of N=842. Based on the literature review, the input variables were gender, race, age, school type, final grade 12 marks and students' performance in the National Benchmark Tests (NBT). The environmental variables were enrollment in the academic development and support programme ‘Step-Up' and financial aid. Contrary to expectation, the results for the environmental variables surprisingly revealed that receiving financial aid decreased the likelihood of on-time graduation. Receiving GAP Aid indicated no statistically significant association with on-time graduation. Furthermore, enrolment in Step Up significantly increased the likelihood of on-time graduation, all else being equal. The findings for the input variables indicated that females and younger students were more likely to graduate on time than males and older students. White students were more likely to graduate on time than Black, Coloured and Indian/Asian students, which shows that this issue remains a transformation issue for Higher Education Institutions (HEIs). Another unexpected result was that the type of school attended and participation in NSC English indicated no association with on-time graduation. Most notably, students with NSC Accounting had a more significantly positive likelihood of on-time graduation than students with NSC Mathematics only. The research findings contribute value to the discussions on accounting education research and how to improve on-time degree completion. Secondly, the results could benefit policy decisions for student admission to the BCom programme. While the research results will reflect the nature of this specific university, the findings may also be valuable to other public HEIs with similar admission standards and student bodies.