Utilizing Response Time Distributions for Item Selection in CAT

Zhewen Fan, Chun Wang, Hua-Hua Chang and Jeffrey Douglas
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Zhewen Fan: Precision Therapeutics, Inc.
Chun Wang: University of Illinois Urbana-Champaign
Hua-Hua Chang: University of Illinois Urbana-Champaign
Jeffrey Douglas: University of Illinois Urbana-Champaign

Journal of Educational and Behavioral Statistics, 2012, vol. 37, issue 5, 655-670

Abstract: Traditional methods for item selection in computerized adaptive testing only focus on item information without taking into consideration the time required to answer an item. As a result, some examinees may receive a set of items that take a very long time to finish, and information is not accrued as efficiently as possible. The authors propose two item-selection criteria that utilize information from a lognormal model for response times. The first modifies the maximum information criterion to maximize information per time unit. The second is an inverse time-weighted version of a-stratification that takes advantage of the response time model, but achieves more balanced item exposure than the information-based techniques. Simulations are conducted to compare these procedures against their counterparts that ignore response times, and efficiency of estimation, time-required, and item exposure rates are assessed.

Keywords: computerized adaptive testing; response times; lognormal model; maximum item selection per time unit; item exposure control (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:37:y:2012:i:5:p:655-670

DOI: 10.3102/1076998611422912

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