2011
DOI: 10.1016/j.cptl.2011.04.006
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Predictors of academic performance of pharmacy students based on admission criteria in a 3-year pharmacy program

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Cited by 19 publications
(23 citation statements)
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“…This was in contrast to the findings of Unni et al, whose study was also conducted at a 3-year pharmacy program, in that the prerequisite cumulative GPA was not a predictor of P1 or P2 academic performance. 21 However, our results were consistent with those of Unni et al in that the prerequisite cumulative GPA was not a predictor of P3 experiential performance. Because the type of institution where students in this study received their prerequisite GPA was not a significant factor, a high prerequisite cumulative GPA seems to have prepared students well for the concentrated nature of the UMES-SOP curriculum.…”
Section: Discussionsupporting
confidence: 80%
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“…This was in contrast to the findings of Unni et al, whose study was also conducted at a 3-year pharmacy program, in that the prerequisite cumulative GPA was not a predictor of P1 or P2 academic performance. 21 However, our results were consistent with those of Unni et al in that the prerequisite cumulative GPA was not a predictor of P3 experiential performance. Because the type of institution where students in this study received their prerequisite GPA was not a significant factor, a high prerequisite cumulative GPA seems to have prepared students well for the concentrated nature of the UMES-SOP curriculum.…”
Section: Discussionsupporting
confidence: 80%
“…For nonAfrican-Americans, these independent variables significantly (p,0.05) predicted P1, P2, and cumulative didactic performance (models 15, 16, and 17) (Table 3). There were two models with a small effect size (models 4 and 5), 12 models with a medium effect size (models [1][2][3][6][7][8]11,12,14,18,19,21) and seven models with a large effect size (models 9,10,13, [15][16][17]20). Table 4 shows correlations between independent variables (PCAT scores and prerequisite cumulative GPAs) and academic performance.…”
Section: Resultsmentioning
confidence: 99%
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“…Several multiple regression analyses that were carried out as important predicators, were included into the model of demographic variables such as: age, gender, and type of completed high school or parents' education. 10,15,19,20,24,39 The relevant dependencies between the results of education in the area of biomedical sciences in the first year and the score for the admission criteria were described. However, as for the importance of gender as a predictive factor, we may refer to the rich resources of world literature which concern the stud-ies in the field of education.…”
mentioning
confidence: 99%