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Table 4 Hierarchical regression analysis of the SJT and MMI with end-of-training assessments

From: The predictive validity of a situational judgement test and multiple-mini interview for entry into postgraduate training in Australia

  

Unstandardised b

SE b

β

t

F

R-sq

ΔR-sq

Applied Knowledge Test N = 441

Additional variance explained by SJT over MMI

 Step 1

MMI

.18

.07

.12

2.49

6.21

.01*

 

 Step 2

MMI

.11

.08

.07

1.45

5.59

.03*

.01*

 

SJT

.22

.10

.11

2.22

   

Additional variance explained by MMI over SJT

 Step 1

SJT

.27

.09

.14

3.01

9.07

.02*

 

 Step 2

SJT

.22

.10

.11

2.22

5.59

.03

.01

 

MMI

.11

.08

.07

1.45

   

Key Feature Problems N = 435

Additional variance explained by SJT over MMI

 Step 1

MMI

.29

.07

.20

4.31

18.58

.04***

 

 Step 2

MMI

.19

.07

.13

2.61

16.36

.07***

.03***

 

SJT

.34

.09

.19

3.69

   

Additional variance explained by MMI over SJT

 Step 1

SJT

.43

.09

.24

5.06

25.57

.06***

 

 Step 2

SJT

.34

.09

.19

3.69

16.36

.07**

.02**

 

MMI

.19

.07

.13

2.61

   

Objective Structured Clinical Exam N = 395

Additional variance explained by SJT over MMI

 Step 1

MMI

.71

.07

.46

10.22

104.37

.21***

 

 Step 2

MMI

.52

.07

.34

7.37

81.15

.29***

.08***

 

SJT

.60

.09

.31

6.78

   

Additional variance explained by MMI over SJT

 Step 1

SJT

.85

.09

.44

9.75

95.07

.20***

 

 Step 2

SJT

.60

.09

.31

6.78

81.15

.29***

.10***

 

MMI

.52

.07

.34

7.37

   
  1. *p < .05, **p < .01, ***p < .001
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