Recent developments in maximum likelihood estimation of MTMM models for categorical data

Recent developments in maximum likelihood estimation of MTMM models for categorical data

Maximum likelihood (ML) estimation of categorical multitrait-multimethod (MTMM) data is challenging because the likelihood involves high-dimensional integrals over the crossed method and trait factors, with no known closed-form solution.<br/>The purpose of the study is to introduce three newly...

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Bibliographic Details
Main Authors: Minjeong eJeon, Frank eRijmen
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-04-01
Series:Frontiers in Psychology
Subjects:
maximum likelihood estimation
Crossed factors
Variational maximization-maximization
Alternating imputation posterior
Monte Carlo local likelihood
Multitrait-multimethod
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00269/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00269/full

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