3. Multilevel Covariance Structure Analysis by Fitting Multiple Single-Level Models
By Ke-Hai Yuan, Peter M. Bentler. 2007
92 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/71a17419d60c85962674a1a410425859fe5063a3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Management Science and Operations Research
- Kristopher J Preacher
- Zhen Zhang
- Michael Zyphur
- S. West
- Ehri Ryu
- Andrew F. Hayes
- David P. MacKinnon
- P. Neves
In Statistics and Probability
- Kristopher J Preacher
- Zhen Zhang
- Michael Zyphur
- S. West
- Ehri Ryu
- Andrew F. Hayes
- David P. MacKinnon
- Arnold B. Bakker
Citations in the corpus
- A general multilevel SEM framework for assessing multilevel mediation. (2010, unknown): “10 Work is under way to develop strategies for assessing model fit in the MSEM context (Ryu, 2008; Ryu & West, 2009; Yuan & Bentler, 2003, 2007).”
- Level-Specific Evaluation of Model Fit in Multilevel Structural Equation Modeling (2009, methodology): “We also investigate the performance of another level-specific method proposed by Yuan and Bentler (2007).”
- Alternative Methods for Assessing Mediation in Multilevel Data: The Advantages of Multilevel SEM (2011, methodology): “Besides demonstrating generally superior performance, the MSEM framework encompasses most existing models for investigating mediation in two-level data designs, and is flexible enough to accommodate Level 2 outcomes, latent variables with multiple indicators, the evaluation of model fit ( Ryu, 2008 ”