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Development and evaluation of an aut...

Mapuranga, Raymond.

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Development and evaluation of an automated multidimensional test assembly method based on quadratic knapsack programming.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Development and evaluation of an automated multidimensional test assembly method based on quadratic knapsack programming./
作者:	Mapuranga, Raymond.
面頁冊數:	138 p.
附註:	Adviser: Mark D. Reckase.
Contained By:	Dissertation Abstracts International68-05A.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3264192
ISBN:	9780549028222

Development and evaluation of an automated multidimensional test assembly method based on quadratic knapsack programming.
Mapuranga, Raymond.

Development and evaluation of an automated multidimensional test assembly method based on quadratic knapsack programming. - 138 p.

Adviser: Mark D. Reckase.

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

Several methods have been suggested for the automated assembly of multidimensional tests. This study presents a new procedure that uses a combinatorial optimization method called quadratic knapsack programming (QKP). This new approach uses numerical integration instead of linearization methods for formulating the objective function. Additionally, a model-specific algorithm called the QKP heuristic was formulated to facilitate the selection of test items in the assembly process.

ISBN: 9780549028222Subjects--Topical Terms:

626642
Computer Science.

Development and evaluation of an automated multidimensional test assembly method based on quadratic knapsack programming.
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100 1 $a Mapuranga, Raymond. $3 1277971
245 1 0 $a Development and evaluation of an automated multidimensional test assembly method based on quadratic knapsack programming.
300 $a 138 p.
500 $a Adviser: Mark D. Reckase.
500 $a Source: Dissertation Abstracts International, Volume: 68-05, Section: A, page: 1902.
502 $a Thesis (Ph.D.)--Michigan State University, 2007.
520 $a Several methods have been suggested for the automated assembly of multidimensional tests. This study presents a new procedure that uses a combinatorial optimization method called quadratic knapsack programming (QKP). This new approach uses numerical integration instead of linearization methods for formulating the objective function. Additionally, a model-specific algorithm called the QKP heuristic was formulated to facilitate the selection of test items in the assembly process.
520 $a The effectiveness of the QKP procedure was illustrated using computational experiments. These experiments used simulated item pools which consisted of multidimensional item parameters and test specifications. Additionally, QKP was compared to 0-1 linear programming (LP) and random item selection (RND) procedures. Results showed that in a multidimensional context, the QKP approach assembled tests that are relatively better at maximizing information. Furthermore, QKP was more computationally efficient than the other methods when assembling longer tests from item pools with low multidimensional discrimination. Also, a unidimensional comparison of the relative efficiency of assembled tests showed that QKP-assembled tests have higher measurement precision than tests assembled with the other two methods.
590 $a School code: 0128.
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650 4 $a Education, Tests and Measurements. $3 1017589
650 4 $a Psychology, Psychometrics. $3 1017742
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773 0 $t Dissertation Abstracts International $g 68-05A.
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