Table 2 Summary statistics for key variables
From: Predicting academic outcomes in an Australian graduate entry medical programme
N | Mean ± SEM or % of total N | |
|---|---|---|
Demographic variables | ||
Age (yr) | 421 | 25.7 ± 0.3 |
Sex (Female/Male) | 421 | 56.3%/43.7% |
Rural entry (No/Yes) | 421 | 81.5%/18.5% |
Index of relative socioeconomic advantage & disadvantage decile (Bottom 8 deciles/Top 2 deciles) | 417 | 36.8%/62.2% |
Discipline background: | ||
Biological sciences | 421 | 63.7% |
Health/Allied health | 421 | 21.1% |
Humanities/Law/Business/Commerce | 421 | 8.8% |
Physical sciences | 421 | 6.4% |
Entry scores | ||
GPA | 421 | 6.38 ± 0.02 |
Interview score | 421 | 27.3 ± 0.3 |
Total GAMSAT score | 421 | 61.8 ± 0.3 |
GAMSAT 1 score (Reasoning in the humanities and social sciences) | 421 | 60.1 ± 0.3 |
GAMSAT 2 score (Written communication) | 421 | 62.2 ± 0.4 |
GAMSAT 3 score (Reasoning in the biological and physical sciences) | 421 | 62.2 ± 0.4 |
Outcome variables | ||
WAM core units levels 2-6 | 219 | 70.1 ± 0.3 |
WAM level 2 bridging course | 421 | 72.4 ± 0.4 |
WAM level 3 | 414 | 72.8 ± 0.4 |
WAM level 4 | 344 | 72.1 ± 0.3 |
WAM level 5 | 276 | 73.0 ± 0.3 |
WAM level 6 | 219 | 73.0 ± 0.3 |