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Efficient and Robust Model Benchmarks with Item Response Theory and Adaptive Testing
Progress in predictive machine learning is typically measured on the basis of performance comparisons on benchmark datasets. Traditionally these kinds of empirical evaluation are carried out on large numbers of datasets, ...
Análise bayesiana do funcionamento diferencial do item
(-Brasil-, 2019)
A Computational Strategy for Classification of Enem Issues Based on Item Response Theory
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)
Consideraciones sobre las teorías de medición : un ejemplo de aplicación bajo la teoría de respuesta al ítem TRT.
(Universidad Católica de Colombia, 2001-01-01)
This article shows a review of the theories developed about the measurement of variables in psychology. It presents a historic revision and the main aspects of the Test Classic Theory (TCT), the Generalization Theory (GT) ...
Modeling of the UCLA Loneliness Scale According to the Multidimensional Item Response Theory
(Springer, 2022-03)
The authors of the University of California Los Angeles Loneliness Scale (UCLA-LS) have considered its structure to be unidimensional. Nevertheless, it has been repeatedly found that response direction can generate groupings ...
Continuation ratio model for polytomous responses with censored like latent classes
(Springer, 2023)
Polytomous item responses are prevalent in background or context questionnaires of International large-scale assessments (ILSA). Responses to these types of instruments can vary in their symmetry or skewness. Zero inflation ...