Example 5: Scoring key for items and CAT responses
A multiple-choice-question (MCQ) computer-adaptive test (CAT), in file EXAM5.TXT with responses "a", "b", "c", "d" and a scoring key for 69 items. Your data are in the control file. This was administered as a CAT test, then the response file formatted into a "flat" file with one row per person and one column per item.
; This file is EXAM5.TXT
TITLE="An MCQ Test" ; the title
NI=69 ; 69 items
ITEM1=10 ; response string starts in column 10
NAME1=1 ; person-id starts in column 1
CODES=abcd ; valid response codes
MISSCORE=-1 ; standard scoring of missing data, means that blanks are ignored
KEY1 = dcbbbbadbdcacacddabadbaaaccbddddcaadccccdbdcccbbdbcccbdcddbacaccbcddb
; scoring key of correct answers
ITEM=TOPIC ; items are topics
PERSON=STDNT ; respondents are students
NAMLMP=2 ; first 2 characters on maps, e.g., nl
PFILE=EXAM5PF.TXT ; write out person measures
CSV=Y ; separate values by commas in PFILE=
HLINES=N ; write out no heading lines in PFILE=
; Many spreadsheets and statistics programs expect a file of numbers separated by commas.
; Use IFILE= or PFILE= with CSV=Y and HLINES=N.
MJMLE=0 ; allow as many JMLE iterations as necessary
EXTRSC=0.5 ; most conservative (central) extreme measures wanted
XFILE=EXAM5XF.TXT ; write out individual response residual file
IM CAT a dcacc ccabbcaa
NM KAT b badad accaaba aa c dd ab c
NH RIC ddb b dbdcbcaadba ba acd bad db c d cc
IL HOL a a da d d ccbddd bcd dc ca
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|Rasch Measurement Transactions (free, online)||Rasch Measurement research papers (free, online)||Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch||Applying the Rasch Model 3rd. Ed., Bond & Fox||Best Test Design, Wright & Stone|
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|Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar||Journal of Applied Measurement||Rasch models for measurement, David Andrich||Constructing Measures, Mark Wilson||Rasch Analysis in the Human Sciences, Boone, Stave, Yale|
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