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ERIC Number: EJ812126
Record Type: Journal
Publication Date: 2008-Sep
Pages: 10
Abstractor: As Provided
Reference Count: 0
ISSN: ISSN-0033-3123
To Weight or Not to Weight? Balancing Influence of Initial Items in Adaptive Testing
Chang, Hua-Hua; Ying, Zhiliang
Psychometrika, v73 n3 p441-450 Sep 2008
It has been widely reported that in computerized adaptive testing some examinees may get much lower scores than they would normally if an alternative paper-and-pencil version were given. The main purpose of this investigation is to quantitatively reveal the cause for the underestimation phenomenon. The logistic models, including the 1PL, 2PL, and 3PL models, are used to demonstrate our assertions. Our analytical derivation shows that, under the maximum information item selection strategy, if an examinee failed a few items at the beginning of the test, easy but more discriminating items are likely to be administered. Such items are ineffective to move the estimate close to the true [theta], unless the test is sufficiently long or a variable-length test is used. Our results also indicate that a certain weighting mechanism is necessary to make the algorithm rely less on the items administered at the beginning of the test.
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A