Connections between single-factor analysis and graphical Gaussian models
Salguiero, Maria de Fátima, Smith, Peter W. F. and McDonald, John W. (2006) Connections between single-factor analysis and graphical Gaussian models. Southampton, UK, Southampton Statistical Sciences Research Institute, 13pp. (S3RI Methodology Working Papers, (M06/13) ).
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The classical single-factor model is parametrized as a graphical Gaussian model. The relationship between the classical parametrization of the single-factor model and this alternative parametrization is derived. This relationship provides extra insights into the single-factor model, which facilitates power calculations. The overall power of the first step of a backward elimination model selection procedure to detect an association structure between manifest variables compatible with a single-factor model is investigated. The results are illustrated using a one-factor congeneric measurement model.
|Item Type:||Monograph (Working Paper)|
|Subjects:||H Social Sciences > HA Statistics|
|Divisions:||University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute
|Date Deposited:||02 Oct 2006|
|Last Modified:||08 Jun 2012 12:44|
|Contributors:||Salguiero, Maria de Fátima (Author)
Smith, Peter W. F. (Author)
McDonald, John W. (Author)
|Date:||2 October 2006|
|Publisher:||Southampton Statistical Sciences Research Institute|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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