The Comparison Study of Ability Estimates - Using Different IRT Scoring Models with Subtests

博士 === 國立臺南大學 === 教育學系測驗統計博士班 === 101 === The purpose of this study is to compare the differences of ability estimates in the application of subtests, such as Bi-Factor Model (DeMars, 2006b) , Rasch subdimensions model (Brandt, 2008), and Augmented scores method (Wainer & Thissen, 2001). Meanwhi...

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Bibliographic Details
Main Authors: Szu-cheng Lu, 盧思丞
Other Authors: Bor-Yaun Twu
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/92169021811302111728
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Summary:博士 === 國立臺南大學 === 教育學系測驗統計博士班 === 101 === The purpose of this study is to compare the differences of ability estimates in the application of subtests, such as Bi-Factor Model (DeMars, 2006b) , Rasch subdimensions model (Brandt, 2008), and Augmented scores method (Wainer & Thissen, 2001). Meanwhile, it examines the accurancy of utilizing three models in scoring. With the manipulation of numbers of dimensions, numbers of each dimensions’ items, correlated between different dimensions’ abilities, and 1,000 examinee, simulated responses were generated under different conditions. Aside from, under different simulated conditions, the empirical data was obtained from the science assessment of BCTest 2009 which was administered to 15-year-old students. The sample consisted of 5,000 students. The main findings were the following: Firstly, in the simulated data, with the difference of simulated conditions, such as dimensions, items, and correlations, the accurancy of different scoring model would be affected. Secondly, in each simulated conditions, the estimated examinee’s abilities of Bi-Factor Model was higher than the other two scoring models. Thirdly, the empirical data showed that the results of the estimated examinee’s abilities with Bi-Factor Model and Rasch subdimensions model were more similar. Finally, comparing with the empirical data and one of the simulated data, it found that these two resule were similar.