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   Maydeu-Olivares, Alberto ; Shi, Dexin ( June 2017 , Methodology)
2. Assessing Fit in Structural Equation Models: A Monte-Carlo Evaluation of RMSEA Versus SRMR Confidence Intervals and Tests of Close Fit

   https://doi.org/10.1080/10705511.2017.1389611  

   Maydeu-Olivares, Alberto ; Shi, Dexin ; Rosseel, Yves ( September 2017 , Structural Equation Modeling: A Multidisciplinary Journal)
3. Using the Standardized Root Mean Squared Residual (SRMR) to Assess Exact Fit in Structural Equation Models

   https://doi.org/10.1177/0013164420926231  

   Pavlov, Goran ; Maydeu-Olivares, Alberto ; Shi, Dexin ( February 2021 , Educational and Psychological Measurement)

   We examine the accuracy of p values obtained using the asymptotic mean and variance (MV) correction to the distribution of the sample standardized root mean squared residual (SRMR) proposed by Maydeu-Olivares to assess the exact fit of SEM models. In a simulation study, we found that under normality, the MV-corrected SRMR statistic provides reasonably accurate Type I errors even in small samples and for large models, clearly outperforming the current standard, that is, the likelihood ratio (LR) test. When data shows excess kurtosis, MV-corrected SRMR p values are only accurate in small models ( p = 10), or in medium-sizedmore »models ( p = 30) if no skewness is present and sample sizes are at least 500. Overall, when data are not normal, the MV-corrected LR test seems to outperform the MV-corrected SRMR. We elaborate on these findings by showing that the asymptotic approximation to the mean of the SRMR sampling distribution is quite accurate, while the asymptotic approximation to the standard deviation is not.« less
4. Network topology inference via elastic net structural equation models

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   Traganitis, Panagiotis A. ; Shen, Yanning ; Giannakis, Georgios B. ( July 2017 , Proc. of EUSIPCO)
5. Croon’s Bias-Corrected Factor Score Path Analysis for Multilevel Structural Equation Models

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