A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment
Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally …

In China, the mature development of online retail channels provides consumers with
multiple consumption choices, and the factors that affect whether consumers choose to …

Latent variable models with continuous and ordinal responses are a useful tool for
interpreting the causal interrelationships among the latent variables and building relations …

Bayesian approaches are receiving an increasing amount of attention in structural equation
modeling (SEM) as viable, if not preferable, alternatives to more traditional modeling …

This article considers a Bayesian approach for analyzing a longitudinal 2-level nonlinear
structural equation model with covariates, and mixed continuous and ordered categorical …

Multivariate heterogenous data with latent variables are common in many fields such as
biological, medical, behavioral, and social-psychological sciences. Mixture structural …

As useful multivariate techniques, structural equation models have attracted significant
attention from various fields. Most existing statistical methods and software for analyzing …

Latent variables that should be measured by multiple observed variable are common in
substantive research. Structural equation models (SEMs), which can be regarded as …

In this academic work a comparison between a Bayesian-Structural Equation Modelling (B-
SEM) and a Partial Least Squares-Structural Equation Modelling (PLS-SEM) on a …

This paper is designed to give a complete overview of the literature that is available, as it
relates to application of the Bayesian analysis model to investigate multiple group nonlinear …