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ERIC Number: EJ865096
Record Type: Journal
Publication Date: 2009
Pages: 24
Abstractor: As Provided
ISSN: ISSN-0027-3171
Covariance Structure Model Fit Testing under Missing Data: An Application of the Supplemented EM Algorithm
Cai, Li; Lee, Taehun
Multivariate Behavioral Research, v44 n2 p281-304 2009
We apply the Supplemented EM algorithm (Meng & Rubin, 1991) to address a chronic problem with the "two-stage" fitting of covariance structure models in the presence of ignorable missing data: the lack of an asymptotically chi-square distributed goodness-of-fit statistic. We show that the Supplemented EM algorithm provides a convenient computational procedure that leads to such a chi-square statistic, and we provide a SAS macro implementing this method. Our derivations are corroborated with results from a small simulation study. We also apply the proposed method to 2 empirical data sets: (a) confirmatory factor analysis of Mardia, Kent, & Bibby's 1979 Open-book Closed-book data and (b) conditional latent curve modeling of adolescent aggressive behavior as discussed by Curran (1997). (Contains 6 tables and 2 footnotes.)
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 - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: National Longitudinal Survey of Youth