Nonparametric Item Response Models: A Comparison on Recovering True Scores

Nonparametric Item Response Models: A Comparison on Recovering True Scores

Abstract Nonparametric procedures are used to add flexibility to models. Three nonparametric item response models have been proposed, but not directly compared: the Kernel smoothing (KS-IRT); the Davidian-Curve (DC-IRT); and the Bayesian semiparametric Rasch model (SP-Rasch). The main aim of the pre...

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Bibliographic Details
Main Authors: Vithor Rosa Franco, Marie Wiberg, Rafael Valdece Sousa Bastos
Format: Article
Language:English
Published: Universidade de São Francisco 2024-01-01
Series:Psico-USF
Subjects:
Nonparametric item response model
Bayesian modeling
Monte Carlo simulation
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-82712023000400685&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-82712023000400685&tlng=en

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