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Multilevel Covariance Structure Analysis
Abstract
This article gives an introduction to some new techniques for multilevel covariance structure modeling with latent variables. Although these techniques only incorporate a subset of models that are relevant to multilevel data, the techniques do provide a large set of new analysis possibilities and have the advantage that they only require conventional structural equation modeling software. The presentation draws on methodology presented in earlier works by the author.
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Citations
Cited by
A general multilevel SEM framework for assessing multilevel mediation
Preacher, K. J., Zyphur, M. J., & Zhang, Z. (2010) · Psychological Methods · doi:10.1037/a0020141 · Cited by 3,796
(2000) · Cited by 2,531
Bauer, D. J., Preacher, K. J., & Gil, K. M. (2006) · Psychological Methods · doi:10.1037/1082-989x.11.2.142 · Cited by 1,704
Complex Sample Data in Structural Equation Modeling
Muthen, B. O., & Satorra, A. (1995) · Sociological Methodology · doi:10.2307/271070 · Cited by 1,586
Beyond SEM: General latent variable modeling
Muthén, B. O. (2002) · Behaviormetrika · doi:10.2333/bhmk.29.81 · Cited by 1,074
Self-citation
Metadata
- Authors
- MUTHÉN, B. O.
- Venue
- Sociological Methods & Research
- Publisher
- SAGE Publications
- Published
- 1994-02
- Volume
- 22
- Issue
- 3
- Pages
- 376-398
- ISSN
- 0049-1241 (ISSN-L)
- 1552-8294
- OpenAlex
- W2051951888
- Cited by
- 1,171
- References
- 0
- FWCI
- 8.72
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.