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The robustness of IRT-based vertical...

Yin, Liqun.

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The robustness of IRT-based vertical scaling methods to violation of unidimensionality.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The robustness of IRT-based vertical scaling methods to violation of unidimensionality./
Author:	Yin, Liqun.
Description:	182 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-12(E), Section: A.
Contained By:	Dissertation Abstracts International74-12A(E).
Subject:	Education, Tests and Measurements. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3573173
ISBN:	9781303428968

The robustness of IRT-based vertical scaling methods to violation of unidimensionality.
Yin, Liqun.

The robustness of IRT-based vertical scaling methods to violation of unidimensionality. - 182 p.

Source: Dissertation Abstracts International, Volume: 74-12(E), Section: A.

Thesis (Ph.D.)--University of Pittsburgh, 2013.

In recent years, many states have adopted Item Response Theory (IRT) based vertically scaled tests due to their compelling features in a growth-based accountability context. However, selection of a practical and effective calibration/scaling method and proper understanding of issues with possible multidimensionality in the test data is critical to ensure their accuracy and reliability. This study aims to use Monte Carlo simulation to investigate the robustness of various unidimensional scaling methods under different test conditions and different degrees of departure from unidimensionality in common-items nonequivalent groups design (grades 3 to 8). The main research questions answered by this research are: 1) Which calibration/scaling methods, concurrent, semi-concurrent, separate calibration with SL scaling, separate calibration with mean/sigma scaling, and pair-wise calibration, yield least biased ability estimates in the vertical scaling context? 2) How do different degrees of multidimensionality affect use of the methods?

ISBN: 9781303428968Subjects--Topical Terms:

1017589
Education, Tests and Measurements.

The robustness of IRT-based vertical scaling methods to violation of unidimensionality.
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020 $a 9781303428968
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100 1 $a Yin, Liqun. $3 2098436
245 1 4 $a The robustness of IRT-based vertical scaling methods to violation of unidimensionality.
300 $a 182 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-12(E), Section: A.
500 $a Adviser: Suzanne Lane.
502 $a Thesis (Ph.D.)--University of Pittsburgh, 2013.
520 $a In recent years, many states have adopted Item Response Theory (IRT) based vertically scaled tests due to their compelling features in a growth-based accountability context. However, selection of a practical and effective calibration/scaling method and proper understanding of issues with possible multidimensionality in the test data is critical to ensure their accuracy and reliability. This study aims to use Monte Carlo simulation to investigate the robustness of various unidimensional scaling methods under different test conditions and different degrees of departure from unidimensionality in common-items nonequivalent groups design (grades 3 to 8). The main research questions answered by this research are: 1) Which calibration/scaling methods, concurrent, semi-concurrent, separate calibration with SL scaling, separate calibration with mean/sigma scaling, and pair-wise calibration, yield least biased ability estimates in the vertical scaling context? 2) How do different degrees of multidimensionality affect use of the methods?
520 $a Results indicate that various calibration and scaling methods perform very differently under different test conditions, especially when the grades are furthest away from the base grade. Under unidimensional condition, the five calibration and linking methods produced very similar results when the grades are close to the base grade 5. However, for grades 7 and 8, semi-concurrent and concurrent calibrations yielded more biased results while the results for the other three are comparable. Under multidimensional conditions, all five methods produced more biased results and the bias patterns differed across methods. In general, the more severe the multidimensionality is, the larger the biases are. Among the five methods compared, separate calibration with SL linking is the most robust to variations in multidimensionality.
590 $a School code: 0178.
650 4 $a Education, Tests and Measurements. $3 1017589
650 4 $a Education, Evaluation. $3 1669638
690 $a 0288
690 $a 0443
710 2 $a University of Pittsburgh. $b Psychology in Education. $3 2098437
773 0 $t Dissertation Abstracts International $g 74-12A(E).
790 $a 0178
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3573173