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Table 2 Academic score at entry vs student demographic characteristics after the revised selection processes (1999 to 2011).

From: Potential influence of selection criteria on the demographic composition of students in an Australian medical school

 

TER

P Value

(T-test or ANOVA)

Gender

  

   Male (N = 657)

98.88 ± 0.04

P < 0.001

   Female (N = 780)

98.64 ± 0.04

 

High School

  

   Independent High School (N = 856)

98.86 ± 0.04

0.013

   Public High School (N = 439)

98.68 ± 0.06

 

Special Entry Pathways

  

   Special Entry (N = 276)

97.71 ± 0.09

P < 0.001

   No Special Entry (N = 1161)

99.00 ± 0.03

 

Region of Origin

  

   Oceania (N = 993)

98.65 ± 0.04

 

   UK & Ireland (N = 52)

98.36 ± 0.15

P < 0.001

   NE & SE Asia (N = 193)**

99.19 ± 0.06

 

   Southern Asia (N = 91)* #

99.03 ± 0.09

 

   Other (N = 107)

98.86 ± 0.10

 
  1. ANOVA post hoc comparisons with Bonferroni correction-* P < 0.05, ** P < 0.001 vs Oceania, # P < 0.01, ## P < 0.001 vs UK & Ireland. TER-Tertiary Entrance Rank.