Predicting academic outcomes in an Australian graduate entry medical programme

BMC Medical Education

Table 7 Final backward regression models of the relationship between selection criteria and academic performance in specific ‘clinically-based units

		*Foundations of clinical practice* *(Level 3) (N=414)*	*Clinical skills* *(Level 5) (N=276)*	*General practice* *(Level 5) (N=276)*	*Obstetrics & gynaecology* *(Level 5) (N=276)*
*Age (yr)*	Beta	−0.138	−0.243	−0.160	−0.294
*Age (yr)*	P value	0.002	<0.001	0.006	<0.001
*Sex (F=0/M=1)*	Beta	−0.166	−0.111	−0.141	−0.146
*Sex (F=0/M=1)*	P value	<0.001	0.047	0.016	0.010
*GPA at entry*	Beta	0.295		0.133	0.197
*GPA at entry*	P value	<0.001		0.023	0.001
*Interview score*	Beta			0.172	0.120
*Interview score*	P value			0.003	0.032
*Health/Allied health background*	Beta	0.189	0.214	0.217	0.184
*Health/Allied health background*	P value	<0.001	0.001	<0.001	0.001
*Humanities/Law/Business/Commerce background*	Beta		−0.118
*Humanities/Law/Business/Commerce background*	P value		0.041
*Physical sciences background*	Beta				0.108
*Physical sciences background*	P value				0.054
*Rural entry*	Beta
*Rural entry*	P value
*IRSAD decile (0=1-8, 1=9-10)*	Beta	0.116		0.124
*IRSAD decile (0=1-8, 1=9-10)*	P value	0.010		0.029
*GAMSAT score*	Beta	0.143	0.313	0.180
*GAMSAT score*	P value	0.003	<0.001	0.002
R ²		20.1%	20.0%	15.9%	19.4%

ISSN: 1472-6920