Smooth Information Criterion for Regularized Estimation of Item Response Models

Smooth Information Criterion for Regularized Estimation of Item Response Models

Item response theory (IRT) models are frequently used to analyze multivariate categorical data from questionnaires or cognitive test data. In order to reduce the model complexity in item response models, regularized estimation is now widely applied, adding a nondifferentiable penalty function like t...

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Bibliographic Details
Main Author: Alexander Robitzsch
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Algorithms
Subjects:
regularized estimation
item response models
smooth information criterion
differential item functioning
multidimensional item response model
Rasch model
Online Access:https://www.mdpi.com/1999-4893/17/4/153

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https://www.mdpi.com/1999-4893/17/4/153

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