scholarly journals Effects of Content Balancing and Item Selection Method on Ability Estimation in Computerized Adaptive Tests

2017 ◽  
Vol 17 (69) ◽  
pp. 21-36
Author(s):  
Alper SAHIN ◽  
Durmus OZBASI
Keyword(s):  
Selection Method ◽  
Item Selection ◽  
Ability Estimation ◽  
Adaptive Tests ◽  
Computerized Adaptive Tests ◽  
Content Balancing

scholarly journals Making Fixed-Precision Between-Item Multidimensional Computerized Adaptive Tests Even Shorter by Reducing the Asymmetry Between Selection and Stopping Rules

2020 ◽  
Vol 44 (7-8) ◽  
pp. 531-547
Author(s):  
Johan Braeken ◽  
Muirne C. S. Paap
Keyword(s):  
Fisher Information ◽  
Stopping Rule ◽  
Stopping Rules ◽  
Item Selection ◽  
Test Length ◽  
Objective Criterion ◽  
Current Generation ◽  
Adaptive Tests ◽  
Selection Rules ◽  
Computerized Adaptive Tests

Fixed-precision between-item multidimensional computerized adaptive tests (MCATs) are becoming increasingly popular. The current generation of item-selection rules used in these types of MCATs typically optimize a single-valued objective criterion for multivariate precision (e.g., Fisher information volume). In contrast, when all dimensions are of interest, the stopping rule is typically defined in terms of a required fixed marginal precision per dimension. This asymmetry between multivariate precision for selection and marginal precision for stopping, which is not present in unidimensional computerized adaptive tests, has received little attention thus far. In this article, we will discuss this selection-stopping asymmetry and its consequences, and introduce and evaluate three alternative item-selection approaches. These alternatives are computationally inexpensive, easy to communicate and implement, and result in effective fixed-marginal-precision MCATs that are shorter in test length than with the current generation of item-selection approaches.

A Comparison of Item Selection Routines in Linear and Adaptive Tests

1995 ◽  
Vol 32 (3) ◽  
pp. 227-242 ◽  
Author(s):  
Deborah L. Schnipke ◽  
Bert F. Green
Keyword(s):  
Item Selection ◽  
Adaptive Tests

The Study of Item Selection Method in CAT

2012 ◽  
pp. 403-415 ◽  
Author(s):  
Peng Lu ◽  
Dongdai Zhou ◽  
Shanshan Qin ◽  
Xiao Cong ◽  
Shaochun Zhong
Keyword(s):  
Selection Method ◽  
Item Selection
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