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CONTROLLING ITEM EXPOSURE CONDITIONAL ON ABILITY IN COMPUTERIZED ADAPTIVE TESTING
Author(s) -
Stocking Martha L.,
Lewis Charles
Publication year - 1995
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.1995.tb01659.x
Subject(s) - computerized adaptive testing , computer science , sequential analysis , test (biology) , statistical hypothesis testing , item response theory , machine learning , statistics , psychometrics , mathematics , paleontology , biology
The interest in the application of large‐scale adaptive testing for secure tests has served to focus attention on issues that arise when theoretical advances are made operational. Many such issues have more to do with changes in testing conditions rather than testing paradigms. One such issue is that of insuring item and pool security in the continuous testing environment made possible by the computerized administration of a test, as opposed to the more periodic testing environment typically used for linear paper‐and‐pencil tests. In the continuous testing environment of adaptive testing, methods have been developed in the past to use the computer to control the rate at which particular items are exposed to test‐takers. These methods have typically employed randomization schemes, sometimes in reference to a particular target distribution of test‐taker ability. This paper presents a new method of controlling the exposure rate of items conditional on the ability level of an individual test‐taker. The properties of such conditional control on the exposure rates of items, when used in conjunction with a particular adaptive testing algorithm, are explored through five studies with simulated data.

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