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Designing optimal item pools for com...

Gu, Lixiong.

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Designing optimal item pools for computerized adaptive tests with exposure controls.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Designing optimal item pools for computerized adaptive tests with exposure controls./
Author:	Gu, Lixiong.
Description:	181 p.
Notes:	Adviser: Mark D. Reckase.
Contained By:	Dissertation Abstracts International68-05A.
Subject:	Education, Tests and Measurements. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3264166
ISBN:	9780549029595

Designing optimal item pools for computerized adaptive tests with exposure controls.
Gu, Lixiong.

Designing optimal item pools for computerized adaptive tests with exposure controls. - 181 p.

Adviser: Mark D. Reckase.

Thesis (Ph.D.)--Michigan State University, 2007.

Computerized adaptive testing requires a well-designed item pool containing an appropriate number of items to build an individualized test that matches the examinee's ability level. An optimal item pool can be defined as a pool consisting of appropriate items for each individual test that is capable of reaching the desired level of precision. It also contains well-balanced items that will achieve optimal item usage and lower the cost of item creation. One of the methods to develop an optimal item pool is Reckase's method (2003), which is a Monte Carlo method to determine the properties of an optimal item pool. This study extends the method for designing item pools calibrated with 3PL and applies it to situations where no exposure control, Sympson-Hetter procedure, or a-stratified procedure is imposed to control the item exposure rate. The procedures for designing the item pool and two approaches of simulating test items are presented. The performance of each optimal item pools is evaluated along with the operational item pools.

ISBN: 9780549029595Subjects--Topical Terms:

1017589
Education, Tests and Measurements.

Designing optimal item pools for computerized adaptive tests with exposure controls.
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020 $a 9780549029595
035 $a (UMI)AAI3264166
035 $a AAI3264166
040 $a UMI $c UMI
100 1 $a Gu, Lixiong. $3 1277972
245 1 0 $a Designing optimal item pools for computerized adaptive tests with exposure controls.
300 $a 181 p.
500 $a Adviser: Mark D. Reckase.
500 $a Source: Dissertation Abstracts International, Volume: 68-05, Section: A, page: 1900.
502 $a Thesis (Ph.D.)--Michigan State University, 2007.
520 $a Computerized adaptive testing requires a well-designed item pool containing an appropriate number of items to build an individualized test that matches the examinee's ability level. An optimal item pool can be defined as a pool consisting of appropriate items for each individual test that is capable of reaching the desired level of precision. It also contains well-balanced items that will achieve optimal item usage and lower the cost of item creation. One of the methods to develop an optimal item pool is Reckase's method (2003), which is a Monte Carlo method to determine the properties of an optimal item pool. This study extends the method for designing item pools calibrated with 3PL and applies it to situations where no exposure control, Sympson-Hetter procedure, or a-stratified procedure is imposed to control the item exposure rate. The procedures for designing the item pool and two approaches of simulating test items are presented. The performance of each optimal item pools is evaluated along with the operational item pools.
590 $a School code: 0128.
650 4 $a Education, Tests and Measurements. $3 1017589
650 4 $a Psychology, Psychometrics. $3 1017742
690 $a 0288
690 $a 0632
710 2 $a Michigan State University. $3 676168
773 0 $t Dissertation Abstracts International $g 68-05A.
790 $a 0128
790 1 0 $a Reckase, Mark D., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3264166