Multiple choice test

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Facets is not designed for the analysis of multiple-choice (MCQ) tests, but can do it. Datasets containing both rated and MCQ items can be analyzed.

 

Facets=2 ; 1= persons, 2= items

labels=

1, persons

1-1000   ; 1000 persons

*

2, items

1-40   ; 40 items

*

; assume the responses are ABCD

; and the scoring key BCDBA ........... BA

 

model=

?, 1, KB ;  item 1. Correct answer B. KB is the "rating scale" for an MCQ item with "B" as the correct answer

?, 2, KC

....

?,39, KB

?,40, KA

*

 

rating scale= KA, D, Specific ; KA is the "rating scale" for an MCQ item with "A" as the correct answer

0 = Wrong,,,B+C+D

1 = Right,,,A

*

 

rating scale= KB, D, Specific

0 = Wrong,,,A+C+D

1 = Right,,,B

*

 

rating scale= KC, D, Specific

0 = Wrong,,,A+B+D

1 = Right,,,C

*

 

rating scale= KD, D, Specific

0 = Wrong,,,A+B+C

1 = Right,,,D

*

data=

1, 1-40, A, C, D, ........ C, D ; 40 responses by person 1


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