Literature DB >> 26753936

On Structural Equation Model Equivalence.

T Raykov, S Penev.   

Abstract

A necessary and sufficient condition for equivalence of structural equation models is presented. Compared to existing rules for equivalent model generation (Stelzl, 1986; Lee & Hershberger, 1990; Hershberger, 1994), it is applicable to a more general class including models with parameter restrictions and models that may or may not fulfil assumptions of the rules, to show that two models are nonequivalent, or to nonidentified models. The validity of the replacement rule by Lee and Hershberger, Stelzl's rules, and Hershberger's inverse indicator rule is implied from the present method. Its application for studying model equivalence or lack thereof is demonstrated on a series of empirical examples.

Year:  1999        PMID: 26753936     DOI: 10.1207/S15327906Mb340204

Source DB:  PubMed          Journal:  Multivariate Behav Res        ISSN: 0027-3171            Impact factor:   5.923


  4 in total

1.  The Importance of the Assumption of Uncorrelated Errors in Psychometric Theory.

Authors:  Tenko Raykov; George A Marcoulides; Thanos Patelis
Journal:  Educ Psychol Meas       Date:  2014-08-27       Impact factor: 2.821

2.  Testing model nesting and equivalence.

Authors:  Peter M Bentler; Albert Satorra
Journal:  Psychol Methods       Date:  2010-06

Review 3.  Developmental cognitive neuroscience using latent change score models: A tutorial and applications.

Authors:  Rogier A Kievit; Andreas M Brandmaier; Gabriel Ziegler; Anne-Laura van Harmelen; Susanne M M de Mooij; Michael Moutoussis; Ian M Goodyer; Ed Bullmore; Peter B Jones; Peter Fonagy; Ulman Lindenberger; Raymond J Dolan
Journal:  Dev Cogn Neurosci       Date:  2017-11-22       Impact factor: 5.811

4.  A cautionary note on testing latent variable models.

Authors:  Ivan Ropovik
Journal:  Front Psychol       Date:  2015-11-06
  4 in total

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