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Table 2 Descriptive statistics for all short answer question (SAQ) exam administrations

From: Assessing professional competence in optometry – a review of the development and validity of the written component of the competency in optometry examination (COE)

Administration Round

1

2

3

4

5

6

7

8

9

10

11

12

Examination date

April 2014

September 2014

April 2015

September 2015

April 2016

September 2016

April 2017

September 2017

March 2018

August 2018

March 2019

August 2019

No. of scored questionsa

18

18

18

18

18

18

18

18

18

18

18

18

No. of candidates

32

21

18

23

13

16

24

19

19

18

21

24

No. of repeat candidates

12

11

5

9

4

1

9

4

5

7

3

9

Mean candidate score (%)

60.2

52.4

46.4

46.5

56.8

38.1

57.6

45.5

51.3

49.9

50.7

59.5

Max total score (%)

84.0

70.3

58.0

60.5

67.8

57.1

67.8

63.6

68.9

70.8

68.3

71.9

Min total score (%)

24.4

26.9

22.0

8.0

42.8

5.0

42.5

18.6

27.8

30.0

31.9

31.4

Mean person ability (logits)b

e

e

e

e

e

e

e

0.154

−0.068

−0.122

0.233

0.102

Item-trait interaction (χ2 probability)c

e

e

e

e

e

e

e

0.93

0.42

0.39

0.76

0.42

Reliability (separation index)d

e

e

e

e

e

e

e

0.93

0.89

0.84

0.83

0.82

Cutscore (%)

50f

50f

50f

50f

50f

50f

50f

46.1

49.3

49.2

48.2

57.6

Pass rate (%)

84.4

66.7

61.1

47.8

84.6

25.0

83.3

47.4

63.2

50.0

57.1

66.7

  1. Descriptive statistics for every SAQ administration for all candidates between 2014 and 2019. (a) Each question consists of multiple sections, adding to a total of 10 marks per question (scored with half marks) and 180 marks per exam. Two questions were used for linking exams from September 2017 onwards. (b) Mean person ability, in logits, from the Rasch analysis undertaken by EPEC consultancy on behalf of the Optometry Council of Australia and New Zealand (OCANZ) for the Competency in Optometry Exam (COE). The low mean person abilities indicate that the questions are well targeted to the candidates. (c) The item-trait interaction gives a measure of whether the data fits the Rasch model for discreet groups (class intervals) along the scale. χ2 values above 0.05 indicate the data do not significantly deviate from that expected from the model. (d) Separation index values from the Rasch analysis undertaken by EPEC consultancy on behalf of OCANZ for the COE. These reliability values being greater than 0.8 show good fit of the Rasch model to the scores, indicating the SAQ exams have good power and reliability. (e) Rasch analysis of the SAQ exam not undertaken prior to the September 2017 running of the exam, therefore no mean person ability or separation index values available to report. (f) Rasch analysis of the SAQ exam not used to calculate a cutscore until the September 2017 running of the exam. Prior to September 2017 the cutscore was set as 50%.