Predicting academic outcomes in an Australian graduate entry medical programme

BMC Medical Education

Table 5 Final backward regression models of the relationship between selection criteria and demographics for GEMP students 2005–2012 and academic performance as assessed by overall and yearly WAM for Core units

		*WAM overall (N=219)*	*WAM bridging (N=421)*	*WAM year 3 (N=414)*	*WAM year 4 (N=344)*	*WAM year 5 (N=276)*	*WAM year 6 (N=219)*
*Age (yr)*	Beta	−0.186	−0.147	−0.118	−0.163	−0.266	−0.136
	P value	0.003	0.001	0.007	0.001	<0.001	0.047
*Sex (F=0/M=1)*	Beta			−0.078		−0.155
	P value			0.080		0.005
*GPA at entry*	Beta	0.369	0.347	0.354	0.303	0.159	0.155
	P value	<0.001	<0.001	<0.001	<0.001	0.004	0.022
*Interview score*	Beta	0.159			0.092	0.109	0.168
	P value	0.007			0.069	0.043	0.011
*Health/Allied health background*	Beta	0.272	0.168	0.194	0.278	0.272	0.267
	P value	<0.001	<0.001	<0.001	<0.001	<0.001	<0.001
*Humanities/Law/Business/Commerce background*	Beta	−0.170	−0.127			−0.111	−0.118
	P value	0.006	0.003			0.046	0.081
*Physical sciences background*	Beta
	P value
*Rural entry*	Beta	0.104			0.148		0.113
	P value	0.092			0.005		0.090
*IRSAD decile (0=1-8, 1=9-10)*	Beta	0.122	0.107	0.134	0.091
	P value	0.042	0.010	0.002	0.068
*GAMSAT score*	Beta	0.348	0.286	0.246	0.203	0.283	0.157
	P value	<0.001	<0.001	<0.001	<0.001	<0.001	0.019
R ²		*31.0%*	30.3%	25.4%	20.1%	26.2%	14.8%

ISSN: 1472-6920