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ERIC Number: EJ791597
Record Type: Journal
Publication Date: 2008-Apr
Pages: 28
Abstractor: Author
Reference Count: 37
ISSN: ISSN-1070-5511
Variance Estimation Using Replication Methods in Structural Equation Modeling with Complex Sample Data
Stapleton, Laura M.
Structural Equation Modeling: A Multidisciplinary Journal, v15 n2 p183-210 Apr 2008
This article discusses replication sampling variance estimation techniques that are often applied in analyses using data from complex sampling designs: jackknife repeated replication, balanced repeated replication, and bootstrapping. These techniques are used with traditional analyses such as regression, but are currently not used with structural equation modeling (SEM) analyses. This article provides an extension of these methods to SEM analyses, including a proposed adjustment to the likelihood ratio test, and presents the results from a simulation study suggesting replication estimates are robust. Finally, a demonstration of the application of these methods using data from the Early Childhood Longitudinal Study is included. Secondary analysts can undertake these more robust methods of sampling variance estimation if they have access to certain SEM software packages and data management packages such as SAS, as shown in the article. (Contains 2 figures, 8 tables, and 2 footnotes.)
Lawrence Erlbaum. 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