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Computerized adaptive and multi-stage testing with R
Yan, Duanli; Magis, David
2016Internatioanl Workshop on Psychometric Computing
 

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Abstract :
[en] Computerized Adaptive Testing (CAT) has greatly improved the accuracy and efficiency of psychological testing for decades. Multistage Testing (MST) has received much of attention recently. MST is similar to CAT such that it allows the adaptation of the difficulty of the test to the level of ability of a test taker. Specifically, in MST, items are interactively selected for each test taker, but rather than selecting individual items, groups of items are selected and the test is built in stages. Over the last decade, researchers have investigated ways for an MST to incorporate most of the advantages from CAT and linear testing, while minimize their disadvantages. These features include testing efficiency and accuracy, greater control of test content, more robust item review, as well as simplified test assembly and administration. Therefore, MST can be an effective compromise between CAT and linear testing, embedding features and benefits from both designs. Thus, MST becomes of more and more interest to researchers and practitioners as technology advances. This presentation will first provide a general overview of a multistage test (MST) design and its important concepts and processes. It will then present the latest development on CAT and MST using R, the mstR package. The presentation will also illustrate how to simulate MST administrations using mstR package, and discuss some practical issues and considerations for MST from design to applications.
Disciplines :
Education & instruction
Author, co-author :
Yan, Duanli
Magis, David ;  Université de Liège > Département des Sciences de l'éducation > Psychométrie et édumétrie
Language :
English
Title :
Computerized adaptive and multi-stage testing with R
Publication date :
19 February 2016
Event name :
Internatioanl Workshop on Psychometric Computing
Event organizer :
Universit of Liège
Event place :
Liège, Belgium
Event date :
18-19 février 2016
By request :
Yes
Audience :
International
Available on ORBi :
since 04 February 2016

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