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ERIC Number: EJ880999
Record Type: Journal
Publication Date: 2010
Pages: 18
Abstractor: As Provided
Reference Count: 17
ISBN: N/A
ISSN: ISSN-0027-3171
Connections between Graphical Gaussian Models and Factor Analysis
Salgueiro, M. Fatima; Smith, Peter W. F.; McDonald, John W.
Multivariate Behavioral Research, v45 n1 p135-152 2010
Connections between graphical Gaussian models and classical single-factor models are obtained by parameterizing the single-factor model as a graphical Gaussian model. Models are represented by independence graphs, and associations between each manifest variable and the latent factor are measured by factor partial correlations. Power calculations for the single-factor graphical Gaussian model are facilitated by expressing the manifest partial correlations as functions of the factor partial correlations. The power of selecting a graphical Gaussian model with an association structure between manifest variables compatible with a single-factor model is investigated. The results are illustrated using 2 examples: the 1st is a hypothetical factor model with parallel measures. The 2nd uses data from the British Household Panel Survey on job satisfaction. (Contains 4 tables and 3 figures.)
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United Kingdom (Great Britain)
Identifiers - Assessments and Surveys: British Household Panel Survey