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  Model fit after pairwise maximum likelihood

Barendse, M. T., Ligtvoet, R., Timmerman, M. E., & Oort, F. J. (2016). Model fit after pairwise maximum likelihood. Frontiers in Psychology, 7: 528. doi:10.3389/fpsyg.2016.00528.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-6621-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-6622-0
Genre: Journal Article

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Barendse_etal_2016_Model fit after pairwise maximum likelihood.pdf (Publisher version), 155KB
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© 2016 Barendse, Ligtvoet, Timmerman and Oort. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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Barendse, M. T.1, Author           
Ligtvoet, R., Author
Timmerman, M. E., Author
Oort, F. J., Author
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1Ghent University, Ghent, Belgium, ou_persistent22              

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 Abstract: Maximum likelihood factor analysis of discrete data within the structural equation modeling framework rests on the assumption that the observed discrete responses are manifestations of underlying continuous scores that are normally distributed. As maximizing the likelihood of multivariate response patterns is computationally very intensive, the sum of the log–likelihoods of the bivariate response patterns is maximized instead. Little is yet known about how to assess model fit when the analysis is based on such a pairwise maximum likelihood (PML) of two–way contingency tables. We propose new fit criteria for the PML method and conduct a simulation study to evaluate their performance in model selection. With large sample sizes (500 or more), PML performs as well the robust weighted least squares analysis of polychoric correlations.

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Language(s): eng - English
 Dates: 2016-04-21
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fpsyg.2016.00528
 Degree: -

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Title: Frontiers in Psychology
  Abbreviation : Front Psychol
Source Genre: Journal
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Publ. Info: Pully, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 7 Sequence Number: 528 Start / End Page: - Identifier: ISSN: 1664-1078
CoNE: https://pure.mpg.de/cone/journals/resource/1664-1078