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) ).

Download

[img] PDF - Pre print
Download (209Kb)

Description/Abstract

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
ePrint ID: 41799
Date Deposited: 02 Oct 2006
Last Modified: 27 Mar 2014 18:26
URI: http://eprints.soton.ac.uk/id/eprint/41799

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics