324
Views
2
CrossRef citations to date
0
Altmetric
Articles

Dynamic Multistage Testing: A Highly Efficient and Regulated Adaptive Testing Method

&
Pages 227-247 | Received 11 Oct 2018, Accepted 18 May 2019, Published online: 03 Jul 2019
 

Abstract

This study introduced dynamic multistage testing (dy-MST) as an improvement to existing adaptive testing methods. dy-MST combines the advantages of computerized adaptive testing (CAT) and computerized adaptive multistage testing (ca-MST) to create a highly efficient and regulated adaptive testing method. In the test construction phase, multistage panels are assembled using similar design principles and assembly techniques with ca-MST. In the administration phase, items are adaptively administered from a dynamic interim pool. A large-scale simulation study was conducted to evaluate the merits of dy-MST, and it found that dy-MST significantly reduced test length while maintaining the identical classification accuracy with the full-length tests and meeting all content requirements effectively. Psychometrically, the testing efficiency in dy-MST was comparable to CAT. Operationally, dy-MST allows for holistic pre-administration management of test content directly at the test level. Thus, dy-MST is deemed appropriate for delivering adaptive tests with high efficiency and well-controlled content.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.