Cargando…
On the Choice of the Item Response Model for Scaling PISA Data: Model Selection Based on Information Criteria and Quantifying Model Uncertainty
In educational large-scale assessment studies such as PISA, item response theory (IRT) models are used to summarize students’ performance on cognitive test items across countries. In this article, the impact of the choice of the IRT model on the distribution parameters of countries (i.e., mean, stan...
Autor principal: | Robitzsch, Alexander |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223051/ https://www.ncbi.nlm.nih.gov/pubmed/35741481 http://dx.doi.org/10.3390/e24060760 |
Ejemplares similares
-
On the Treatment of Missing Item Responses in Educational Large-Scale Assessment Data: An Illustrative Simulation Study and a Case Study Using PISA 2018 Mathematics Data
por: Robitzsch, Alexander
Publicado: (2021) -
Exploring the Multiverse of Analytical Decisions in Scaling Educational Large-Scale Assessment Data: A Specification Curve Analysis for PISA 2018 Mathematics Data
por: Robitzsch, Alexander
Publicado: (2022) -
Regularized Latent Class Analysis for Polytomous Item Responses: An Application to SPM-LS Data
por: Robitzsch, Alexander
Publicado: (2020) -
Reanalysis of the German PISA Data: A Comparison of Different Approaches for Trend Estimation With a Particular Emphasis on Mode Effects
por: Robitzsch, Alexander, et al.
Publicado: (2020) -
Quantifying Model Form Uncertainty of Epidemic Forecasting Models
from Incidence Data
por: Hengartner, Nicolas, et al.
Publicado: (2018)