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J Am Med Inform Assoc 16:837-846 doi:10.1197/jamia.M2895
  • Original Investigation

Predictors of Student Success in Graduate Biomedical Informatics Training: Introductory Course and Program Success

Table 7

Using Mastery to Predict Program GPA at SHIS and DMICE

Statistic SHIS DMICE
N 19 106
r (p,df1,df2) 0.634 (0.004, 1, 17) 0.603 (0.001, 1, 104)
R2 0.402 0.364
Adjusted R2 0.367 0.358
SE of estimate 0.116 0.201
F (p) 11.426 (0.004) 59.572 (0.001)
GPA mean (SD) 3.849 (0.146) 3.71 (0.251)
GPA median 3.875 3.76
GPA mode 4 4
GPA range 3.5–4.0 3.01–4.0
Mastery% 37 68
Mastery SD 0.496 0.469
B (t, p) 0.186 (3.380, 004) 0.324 (7.718. 001)
SE 0.055 0.042
Beta 0.634 0.603
Mastery mean GPA (SD) 3.966 (0.018) 3.814 (0.204)
Non-mastery mean GPA (SD) 3.78 (0.040) 3.49 (0.197)
  • DMICE = Department of Medical Informatics and Clinical Epidemiology,OHSU; GPA = grade point average; SD = standard deviation; SE = standard error; SHIS = School of Health Information Science, UT.

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