Markov chain Monte Carlo Estimation Method of Confirmatory Factor Analysis Model with Mixed Data

Published: Jan 1, 2020
Abstract
This paper provides a general overview of (Bayesian Confirmatory Factor Analysis) with mixed ordinal and binary data. Mixed variables with specific cut-points are used and the simulation (Gibbs sampling) of the Markov chain Monte Carlo (MCMC) as an estimation tool. The problem of qualitative data...
Paper Details
Title
Markov chain Monte Carlo Estimation Method of Confirmatory Factor Analysis Model with Mixed Data
Published Date
Jan 1, 2020
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.