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ERIC Number: EJ879820
Record Type: Journal
Publication Date: 2010
Pages: 16
Abstractor: As Provided
Reference Count: 22
ISSN: ISSN-1070-5511
Group Comparisons in the Presence of Missing Data Using Latent Variable Modeling Techniques
Raykov, Tenko; Marcoulides, George A.
Structural Equation Modeling: A Multidisciplinary Journal, v17 n1 p134-149 2010
A latent variable modeling approach for examining population similarities and differences in observed variable relationship and mean indexes in incomplete data sets is discussed. The method is based on the full information maximum likelihood procedure of model fitting and parameter estimation. The procedure can be employed to test group identities in mean and mean contrasts, variances, covariances and correlations of studied variables. The outlined approach can also be used to address concerns of meta-analysis for correlations across multiple studies. (Contains 2 tables, 1 figure and 1 footnote.)
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:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A