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The effect of weighting in kernel eq...

Qu, Yanxuan.

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The effect of weighting in kernel equating using counter-balanced designs.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The effect of weighting in kernel equating using counter-balanced designs./
Author:	Qu, Yanxuan.
Description:	117 p.
Notes:	Adviser: Mark D. Reckase.
Contained By:	Dissertation Abstracts International68-09A.
Subject:	Education, Tests and Measurements. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3282191
ISBN:	9780549241461

The effect of weighting in kernel equating using counter-balanced designs.
Qu, Yanxuan.

The effect of weighting in kernel equating using counter-balanced designs. - 117 p.

Adviser: Mark D. Reckase.

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

The Counter-Balanced (CB) design for test equating is often used in pilot studies for testing programs when sample size is limited. When a CB design is used to conduct equating, data are usually treated as an Equivalent Group design or a Single Group design (Kolen & Brennan, 2004). On the other hand, von Davier, Holland and Thayer (2004) proposed a new approach under the Kernel Equating (KE) framework which treats data as a weighted synthesized mixture of data from the two groups. This new approach is named as the two independent Single Group approach (2SG approach).

ISBN: 9780549241461Subjects--Topical Terms:

1017589
Education, Tests and Measurements.

The effect of weighting in kernel equating using counter-balanced designs.
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020 $a 9780549241461
035 $a (UMI)AAI3282191
035 $a AAI3282191
040 $a UMI $c UMI
100 1 $a Qu, Yanxuan. $3 1285671
245 1 4 $a The effect of weighting in kernel equating using counter-balanced designs.
300 $a 117 p.
500 $a Adviser: Mark D. Reckase.
500 $a Source: Dissertation Abstracts International, Volume: 68-09, Section: A, page: 3818.
502 $a Thesis (Ph.D.)--Michigan State University, 2007.
520 $a The Counter-Balanced (CB) design for test equating is often used in pilot studies for testing programs when sample size is limited. When a CB design is used to conduct equating, data are usually treated as an Equivalent Group design or a Single Group design (Kolen & Brennan, 2004). On the other hand, von Davier, Holland and Thayer (2004) proposed a new approach under the Kernel Equating (KE) framework which treats data as a weighted synthesized mixture of data from the two groups. This new approach is named as the two independent Single Group approach (2SG approach).
520 $a This study investigates the performance of the 2SG approach in comparison to other data treatment approaches under different sample sizes and order effect situations. Both linear and equipercentile equating methods under KE and traditional equating frameworks were applied to two real datasets and six simulated datasets. The results from traditional equipercentile equating on each simulated population data were considered as the benchmark to which all the other equating methods were compared. Standard Errors of Equating (SEE), Root Mean Square Error (RMSE), equating bias, and Standard Error of Equating Difference (SEED) were reported for each equating of the simulated data. The standard Error of Equating and Root Mean Square Error were reported for equating of the real data samples.
520 $a The results indicated the 2SG approach unifies the Equivalent Group approach and the Single Group approach into its flexible framework. The weighting mechanism in the 2SG approach seemed to be sensitive to different order effects. Possible criteria for selecting the best weights are discussed.
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 68-09A.
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=3282191