This study sought to describe the correlation of academic, financial, and social supports to the persistence of a military student population: veterans, active duty and their families. The study also contrasted these relationships with those of nonmilitary students and looked at the results of both groups together to determine how supports correlated to persistence. Results confirmed the emphasis in the persistence literature on the importance of academic support mechanisms and noted their positive relationship to the military student population. Financial supports varied for the military student population, nonmilitary population and the overall group, with the military student population being negatively impacted by loans, nonmilitary students by university scholarships and the overall group by government grants and aid. An additional finding of this study was that institutional support emerged as a key support mechanism. This study recommends enhancing academic and institutional support for the military student population to reinforce their persistence.

Purpose: An understanding of the learning strategies most accurately predictive of success has become increasingly important as health professional education programs scale the utilization of online learning in the wake of COVID-19. The purpose of this study was to examine the predictive relationship between The Learning and Study Strategies Inventory (LASSI) and cumulative professional GPA (cpGPA) in hybrid-online physical (PT) and occupational therapist (OT) education. Methods: A convenience sample collected N=149 entry-level PT and OT students from three campuses across Florida, Texas, and California. A total N(%) of 89(59.7%) PT and 60(40.3%) OT students were included for analysis [48(32.2%) male; 101(67.8%) female]. A cross-sectional and predictive correlational study design was utilized. Participants self-administered the LASSI and cpGPA was collected in Spring 2020. Standard multiple linear regression analyses were conducted. Results: Neither the LASSI scales, R2 = 0.05 [F(10, 138) = 0.71, p = 0.71], nor the LASSI components, R2 = 0.01 [F(3, 145) = 0.56, p = 0.64], were able to accurately predict cpGPA. These findings contradict many prior studies in health professions education where anxiety, attitude, motivation, test strategies, and time management have been significant predictors. Conclusion: This study should be repeated due to a threat to internal validity, the COVID-19 pandemic, which may have influenced outcomes to an unknown degree. The predictive nature of this measure under more natural conditions remains unknown for this population of learners.

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