Rondall Allen

Dr. Rondall Allen


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2016 in American Journal of Pharmaceutical Education
Verified
Journal Article
Closed access
RARondall Allen
Rondall Allen
CDCarroll Diaz
Carroll Diaz
KGKisha Gant
Kisha Gant
ATAshley Taylor
Ashley Taylor
IOIfeanyichukwu Onor
Ifeanyichukwu Onor
Objective. To determine which preadmission variables or combination of variables are able to predict on-time graduation in a doctor of pharmacy program.Methods. Transcripts and student files were reviewed for 460 students who entered the college between 2007 and 2009.Results. The preadmission variables with significant correlations to on-time graduation included having a prior degree, student type, the number of unsatisfactory grades (nonscience and math-science courses, and the combination), prepharmacy cumulative grade point average (GPA), and math-science GPA. Of these variables, the significant predictors of on-time graduation were prior degree, the presence of no unsatisfactory grades in nonscience courses, and prepharmacy cumulative GPA.Conclusion. Having a prior degree, lack of unsatisfactory grades in nonscience courses, and prepharmacy GPA were identified as significant predictors of on-time graduation.

JOJohn Okogbaa
John Okogbaa
RARondall Allen
Rondall Allen
Daniel F. SarpongDaniel F. Sarpong
Daniel F. Sarpong
The objective of this study was to determine the impact of time spent at work (workload) on the academic performance of pharmacy students. A cross-sectional 12-item survey was administered to pharmacy students at the end of the spring 2011 semester to primarily assess the type of employment and their weekly workload during the 2010–2011 academic year. Academic performance was determined by semester and cumulative grade point average (GPA). Descriptive statistics were performed. Stratified multiple linear regression models were obtained to assess the association between students’ workload and GPA. Analysis of covariance was used to compare academic performance by workload after accounting for work type and potential covariates. Statistical significance was defined a priori as p < 0.05. For both fall and spring semesters, nonpharmacy-related work was significant and positively associated with GPA. Both semester GPAs were fairly similar among three student classifications (P1–P3). However, GPAs across both semesters varied by classification. The negative association of workload on GPA was significant in the fall but not in the spring semester. Although workload matters, future studies using a mixed-method approach might help explain the role of workload on the academic performance of pharmacy during the first three years of their professional training.