A finite mixture model is well-known in statistics due to its versatility and is being actively
researched. This paper reviews finite mixture model literature via bibliometric analysis …

Latent Class Analysis and Finite Mixture Modeling | The Oxford Handbook of Quantitative
Methods in Psychology: Vol. 2Statistical Analysis | Oxford Academic Skip to Main Content …

IBM SPSS Amos implements the general approach to data analysis known as structural
equation modeling (SEM), also known as analysis of covariance structures, or causal …

Amos is short for Analysis of MOment Structures. It implements the general approach to data
analysis known as structural equation modeling (SEM), also known as analysis of …

IBM SPSS Amos implements the general approach to data analysis known as structural
equation modeling (SEM), also known as analysis of covariance structures, or causal …

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

Research today demands the application of sophisticated and powerful research tools.
Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to …

The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models
involves complex data structures and is often described as a revolutionary development. An …

An intermediate-level treatment of Bayesian hierarchical models and their applications, this
book demonstrates the advantages of a Bayesian approach to data sets involving inferences …

Developing sound or reliable statistical models for analyzing motor vehicle crashes are very
important in highway safety studies. However, a significant difficulty associated with the …