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Table 3 Actual P(Qj = 1 | Li) for various subsets of Dataset 2 - complete sample, a random half of the sample, online sample (n = 100) and clinic sample (n = 62)

From: A new adaptive testing algorithm for shortening health literacy assessments

Q-ID

Class (Li)

Complete Sample

Random 50% split

Online Sample

Clinic Sample

 

Low

0.5

0.43

0.56

0.47

1

Moderate

0.69

0.68

0.60

0.85

 

High

1

1

1

1

 

Low

0.31

0.35

0.25

0.34

2

Moderate

0.81

0.79

0.85

0.74

 

High

1

1

1

1

 

Low

0.69

0.70

0.63

0.72

3

Moderate

0.93

0.95

0.96

0.89

 

High

1

1

1

1

 

Low

0.60

0.61

0.81

0.5

4

Moderate

0.96

0.95

0.98

0.93

 

High

1

1

1

1

 

Low

0.56

0.61

0.87

0.41

5

Moderate

0.95

0.97

0.94

0.96

 

High

1

1

1

1

 

Low

0.5

0.48

0.69

0.41

6

Moderate

0.85

0.84

0.87

0.81

 

High

1

1

1

1

 

Low

0.4

0.43

0.75

0.22

7

Moderate

0.92

0.95

0.96

0.85

 

High

1

1

1

1

 

Low

0.13

0.17

0.06

0.16

8

Moderate

0.46

0.5

0.47

0.44

 

High

1

1

1

1