Literature DB >> 23180888

The Houdini Transformation: True, but Illusory.

Peter M Bentler1, Peter C M Molenaar.   

Abstract

Molenaar (2003, 2011) showed that a common factor model could be transformed into an equivalent model without factors, involving only observed variables and residual errors. He called this invertible transformation the Houdini transformation. His derivation involved concepts from time series and state space theory. This paper verifies the Houdini transformation on a general latent variable model using algebraic methods. The results show that the Houdini transformation is illusory, in the sense that the Houdini transformed model remains a latent variable model. Contrary to common knowledge, a model that is a path model with only observed variables and residual errors may, in fact, be a latent variable model.

Entities:  

Year:  2012        PMID: 23180888      PMCID: PMC3501748          DOI: 10.1080/00273171.2012.673941

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


  2 in total

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Authors:  Kenneth A Bollen
Journal:  Annu Rev Psychol       Date:  2002       Impact factor: 24.137

2.  On the Equivalence of Factors and Components.

Authors:  P M Bentler; Y Kano
Journal:  Multivariate Behav Res       Date:  1990-01-01       Impact factor: 5.923

  2 in total
  2 in total

1.  On Components, Latent Variables, PLS and Simple Methods: Reactions to Rigdon's Rethinking of PLS.

Authors:  Peter M Bentler; Wenjing Huang
Journal:  Long Range Plann       Date:  2014-06-01

2.  Problems with Centrality Measures in Psychopathology Symptom Networks: Why Network Psychometrics Cannot Escape Psychometric Theory.

Authors:  Michael N Hallquist; Aidan G C Wright; Peter C M Molenaar
Journal:  Multivariate Behav Res       Date:  2019-08-12       Impact factor: 5.923

  2 in total

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