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The robustness of IRT-based vertical...
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Yin, Liqun.
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The robustness of IRT-based vertical scaling methods to violation of unidimensionality.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
The robustness of IRT-based vertical scaling methods to violation of unidimensionality./
作者:
Yin, Liqun.
面頁冊數:
182 p.
附註:
Source: Dissertation Abstracts International, Volume: 74-12(E), Section: A.
Contained By:
Dissertation Abstracts International74-12A(E).
標題:
Education, Tests and Measurements. -
電子資源:
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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Source: Dissertation Abstracts International, Volume: 74-12(E), Section: A.
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Adviser: Suzanne Lane.
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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?
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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.
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