Citation
Giordano, Michael L.; Bollen, Kenneth A.; & Jin, Shaobo (2022). Estimating and Testing Random Intercept Multilevel Structural Equation Models with Model Implied Instrumental Variables. Structural Equation Modeling: A Multidisciplinary Journal, 29(4), 584-599. PMCID: PMC10275505Abstract
This study develops a new limited information estimator for random intercept Multilevel Structural Equation Models (MSEM). It is based on the Model Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) estimator, which has been shown to be an excellent alternative or supplement to maximum likelihood (ML) in SEMs (Bollen, 1996). We also develop a multilevel overidentification test statistic that applies to equations at the within or between levels. Our Monte Carlo simulation analysis suggests that MIIV-2SLS is more robust than ML to misspecification at within or between levels, performs well given fewer than 100 clusters, and shows that our multilevel overidentification test for equations performs well at both levels of the model.URL
https://doi.org/10.1080/10705511.2022.2028261Reference Type
Journal ArticleYear Published
2022Journal Title
Structural Equation Modeling: A Multidisciplinary JournalAuthor(s)
Giordano, Michael L.Bollen, Kenneth A.
Jin, Shaobo