This article explains the foundational concepts of Bayesian data analysis using virtually no
mathematical notation. Bayesian ideas already match your intuitions from everyday …

Within the context of flexible parametric families of distributions, much work has been
dedicated in recent years to the theme of skew-symmetric distributions, or symmetry …

Abstract Evaluation of corporate sustainability parameters has become part of organizational
management. Item Response Theory (IRT) serves as a valuable approach for quantifying …

Abstract The Item Response Theory (IRT) has become a method for investigating
observable variables based on polytomous scales. Thus, the main objective of this article …

Asymptotic robustness against misspecification of the underlying distribution for the
polychoric correlation estimation is studied. The asymptotic normality of the pseudo …

Normality of latent traits is a common assumption made when estimating parameters for item
response theory (IRT) models, but this assumption may be violated. The purpose of this …

Interest in using Bayesian methods for estimating item response theory models has grown at
a remarkable rate in recent years. This attentiveness to Bayesian estimation has also …

The most popular approach for modeling multivariate data in many research areas is based
on the multivariate normal distribution. However, this approach may not be suitable when …

Multidimensional item response theory (MIRT) models are powerful tools to analyse item
response data. Most of them rely on the assumption that the latent traits are normally …

In this paper, a joint model for analyzing multivariate mixed ordinal and continuous
responses, where continuous outcomes may be skew, is presented. For modeling the …