Level-Specific Evaluation of Model Fit in Multilevel Structural Equation Modeling

By Ehri Ryu, S. West. 2009

206 citations recorded by the source corpus.

Subfields: Applied Psychology, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/63b67015b113a1629114e2e9acc109efc981d63e

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In Applied Psychology

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Multilevel and Single-Level Models for Measured and Latent Variables When Data Are Clustered (2016, background): “This saturated structure is crucial for providing baseline fit information for further testing of the between-cluster structure if desired (Ryu & West, 2009).”
Sample Size Limits for Estimating Upper Level Mediation Models Using Multilevel SEM (2013, result): “Similarly, the pattern of convergence issues encountered with the MLSEM mediation model matched Hox and Maas’s (2001) results and more generally with results from other MLSEM estimation research (Julian, 2001; Stapleton, 2002; Ryu & West, 2009).”
Advances in mediation analysis: a survey and synthesis of new developments. (2015, methodology): “First, if two variables (say, M and Y ) are assessed over the same span of time, their growth factors will not adhere to a clear temporal order, and causal priority is murky at best (MacKinnon 2008, MacKinnon et al. 2007, Selig & Preacher 2009, von Soest & Hagtvet 2011).”
A Test for Cluster Bias: Detecting Violations of Measurement Invariance Across Clusters in Multilevel Data (2013, methodology): “We also calculate level-specific RMSEAs as described by Ryu and West (2009).”
A Bayesian Approach to Multilevel Structural Equation Modeling With Continuous and Dichotomous Outcomes (2015, result): “…with previous research (Hox & Maas, 2001; Li & Beretvas, 2013; Lüdtke et al., 2011; Meuleman & Billiet, 2009; Muthén & Satorra, 1995; Ryu, 2011; Ryu & West, 2009), frequentist estimation of multilevel SEM led to poor convergence rates when there was a small number of clusters, BAYESIAN…”
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).”
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 ”