From: Predicting professional school performance with a unique lens: are there other cognitive predictors?
Age | 24 ± 2 |
---|---|
Gender | |
Female | 72 (56%) |
Male | 57 (44%) |
Race / Ethnicity | |
African American | 10 (8%) |
Asian | 35 (27%) |
Latino/Hispanic | 26 (20%) |
Native American | 1 (< 1%) |
White | 57 (44%) |
Undergraduate School Rigor | |
Low | 23 (17%) |
Mid | 51 (40%) |
High | 55 (43%) |
Undergraduate Major | |
Biology, Chemistry, Physiology | 92 (71%) |
Health Sciences | 12 (9%) |
Anthropology, Human Behavior | 6 (5%) |
Engineering, Math | 3 (2%) |
Business | 5 (4%) |
Other | 11 (9%) |
Undergraduate School Region | |
Massachusetts | 35 (27%) |
Other New England | 15 (12%) |
Mid-Atlantic, Maryland, Washington DC | 23 (18%) |
South | 24 (19%) |
Midwest | 14 (11%) |
West | 17 (13%) |
Outside US | 1 (1%) |
Undergraduate GPA | 3.10 ± 0.26 |
# Undergraduate BCP credits | 68 ± 20 |
# Undergraduate BCPM credits | 80 ± 22 |
Took undergraduate Anatomy & Physiology course | 57 (44%) |
Took undergraduate Biochemistry course | 105 (81%) |
Took undergraduate Cell Biology course | 77 (60%) |
Took undergraduate Microbiology course | 71 (55%) |
Took undergraduate Physiology course | 78 (61%) |
Previously applied to dental school | 69 (53%) |
DAT Academic Average | 19.6 ± 2.0 |
DAT Reading Comprehension | 21.0 ± 2.4 |
DAT Total Science | 18.8 ± 1.7 |
Previously applied to dental school | 69 (54%) |