A LASSO-Based Method for Detecting Item-Trait Patterns of Replenished Items in Multidimensional Computerized Adaptive Testing

A LASSO-Based Method for Detecting Item-Trait Patterns of Replenished Items in Multidimensional Computerized Adaptive Testing

Multidimensional computerized adaptive testing (MCAT) is one of the widely discussed topics in psychometrics. Within the context of item replenishment in MCAT, it is important to identify the item-trait pattern for each replenished item, which indicates the set of the latent traits that are measured...

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Bibliographic Details
Main Authors: Jianan Sun, Ziwen Ye
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Psychology
Subjects:
multidimensional computerized adaptive testing
multidimensional two parameter logistic model
replenished items
item-trait pattern recognition
variable selection
least absolute shrinkage and selection operator
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2019.01944/full

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https://www.frontiersin.org/article/10.3389/fpsyg.2019.01944/full

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