[PDF] Assessing First And Second Order Equity For The Common Itemnonequivalent Groups Design Using Multidimensional Irt - eBooks Review

Assessing First And Second Order Equity For The Common Itemnonequivalent Groups Design Using Multidimensional Irt


Assessing First And Second Order Equity For The Common Itemnonequivalent Groups Design Using Multidimensional Irt
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Author : 黄腾蛟
language : zh-CN
Publisher: 重庆大学电子音像出版社有限公司
Release Date : 2017-12-01

written by 黄腾蛟 and has been published by 重庆大学电子音像出版社有限公司 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-01 with Education categories.


本文集收录了重庆市教育考试系统 2012—2016 年的科研成果,共计 39 篇,分别归于“政策制度”“专题研究” “机构建设” “工作漫谈”栏目下,研究内容主要涵盖了命题、考试、招生、评价及专业化考试机构建设等诸多方面,是近年来重庆市教育考试事业科研实践成果的一次全面总结。



Assessing First And Second Order Equity For The Common Itemnonequivalent Groups Design Using Multidimensional Irt


Assessing First And Second Order Equity For The Common Itemnonequivalent Groups Design Using Multidimensional Irt
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Author : Benjamin James Andrews
language : en
Publisher:
Release Date : 2011

Assessing First And Second Order Equity For The Common Itemnonequivalent Groups Design Using Multidimensional Irt written by Benjamin James Andrews and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with College entrance achievement tests categories.


Results from the first simulation study showed that estimates of expected scores had lower mean squared error values when the unidimensional framework was used compared to when the multidimensional framework was used when the correlation between abilities was high. The multidimensional IRT framework had lower mean squared error values for conditional standard errors of measurement when the correlation between abilities was less than .95. In the second simulation study, chained equating performed better than frequency estimation for first-order equity. Frequency estimation better preserved second-order equity compared to the chained method. As tests became more multidimensional or as group differences increased, the multidimensional IRT observed score equating method tended to perform better than the other methods.