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ERIC Number: EJ988464
Record Type: Journal
Publication Date: 2012
Pages: 13
Abstractor: As Provided
Reference Count: 31
ISSN: ISSN-1436-4522
Reducing the Impact of Inappropriate Items on Reviewable Computerized Adaptive Testing
Yen, Yung-Chin; Ho, Rong-Guey; Liao, Wen-Wei; Chen, Li-Ju
Educational Technology & Society, v15 n2 p231-243 2012
In a test, the testing score would be closer to examinee's actual ability when careless mistakes were corrected. In CAT, however, changing the answer of one item in CAT might cause the following items no longer appropriate for estimating the examinee's ability. These inappropriate items in a reviewable CAT might in turn introduce bias in ability estimation and decrease precision. An early proposed solution to this problem was rearrangement procedure. The purpose of this study was to implement the 4PL IRT model to reduce the estimation bias introduced by inappropriate items in reviewable CAT. The results of this study indicated that the 4PL IRT model could significantly lower the estimation bias for reviewable CAT, and, while it incorporates with rearrangement procedure, provide more accurate ability estimation. Also, the efficiency of reviewable CAT was promoted by introducing both 4PL IRT model and rearrangement procedure. (Contains 6 tables and 9 figures.)
International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Taiwan