Structural Equation Modeling, A Bayesian Approach

By Snigdhansu Chatterjee. Technometrics, 2008

439 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/be0719a8c6c3f6db67b96949e2eb31530fb83f00

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In Computer Networks and Communications

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Citations in the corpus

Methods and Measures: Growth mixture modeling: A method for identifying differences in longitudinal change among unobserved groups (2009, background): “Interested readers are referred to Muthén and Shedden (1999) for technical aspects of the EM estimation algorithms and Lee (2007) for the Bayesian approach.”
Bayesian Inference and Application of Robust Growth Curve Models Using Student's t Distribution (2013, methodology): “The use of Bayesian methods for complex data analysis has been made popular by Lee and colleagues (e.g., Lee, 2007; Lee & Shi, 2000; Lee & Song, 2008; Lee & Xia, 2008).”
When Celebrities Count: Power Distance Beliefs and Celebrity Endorsements (2018, methodology): “A sentence-completion task elicited temporary accessibility to PDB and related concepts (Oyserman and Lee 2007; Zhang, Winterich, andMittal 2010).”
Gaussian Process Structural Equation Models with Latent Variables (2010, methodology): “Following Lee (2007), we evaluate convergence using the EPSR statistic (Gelman and Rubin, 1992), which compares the variability of a given marginal posterior within each chain and between chains.”
A Bayesian Approach for Estimating Multilevel Latent Contextual Models (2016, positive): “…Gelman & Hill, 2007; Hamaker & Klugkist, 2011; Zhang, Hamagami, Wang, Nesselroade, & Grimm, 2009), SEM (e.g., Arminger & Muthén, 1998; Kaplan & Depaoli, 2012; Lee, 2007; B. O. Muthén & Asparouhov, 2012; Song & Lee, 2009), and multilevel SEM (e.g., Ansari & Jedidi, 2000; Depaoli & Clifton, 2015).”
Enhancing Model Fit Evaluation in SEM: Practical Tips for Optimizing Chi-Square Tests (2023, methodology): “SEM's appeal lies in its dual ability to evaluate hypotheses about the influences of latent and observable variables on other variables while also enabling simultaneous modeling of measurement error (Lee, 2007; Yuan & Liu, 2021).”
blavaan: Bayesian structural equation models via parameter expansion (2015, methodology): “As noted above, the approach of Lee (2007; see also Song and Lee 2012) involves the use of conjugate priors on the parameters from Equations (1) to (4). Specific priors include inverse gamma distributions on variance parameters, inverse Wishart distributions on unrestricted covariance matrices (typi”
Leviathan’s Latent Dimensions: Measuring State Capacity for Comparative Political Research (2013, methodology): “This technique, based on earlier work by Lee (2007), has many advantages over traditional factor analysis, including robustness to missing data.”
On Obtaining Estimates of the Fraction of Missing Information From Full Information Maximum Likelihood (2012, positive): “It would be excellent practice for researchers to compute and report fraction of missing data for each parameter (Bodner, 2008; Enders, 2010; Schafer, 1997). Such a practice would allow researchers to begin to gauge the effect that missingness has on their analyses, and could inform future research ”
Comparison of Inverse Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis (2016, background): “, Lunn, Jackson, Best, Thomas, & Spiegelhalter, 2012), full Bayesian estimation methods are increasingly used for growth curve models (e.g., Elliott, Gallo, Ten Have, Bogner, & Katz, 2005; Lee, 2007; P. Song, Zhang, & Qu, 2007; X. Y. Song & Lee, 2001, 2002; Zhang, Hamagami, Wang, Grimm, & Nesselroad”
Applications of structural equation modeling (SEM) in ecological studies: an updated review (2016, methodology): “BIC is widely used, and many statisticians suggest posterior predictive checking to estimate the predictive ability of the model (Raftery 1993; Lee 2007; Kaplan and Depaoli 2012).”