Gao, Chuanji, Shi, Dexin, and Maydeu-Olivares, Alberto. Estimating the Maximum Likelihood Root Mean Square Error of Approximation (RMSEA) with Non-normal Data: A Monte-Carlo Study. Retrieved from https://par.nsf.gov/biblio/10099861. Structural Equation Modeling: A Multidisciplinary Journal 27.2 Web. doi:10.1080/10705511.2019.1637741.

Gao, Chuanji, Shi, Dexin, & Maydeu-Olivares, Alberto. Estimating the Maximum Likelihood Root Mean Square Error of Approximation (RMSEA) with Non-normal Data: A Monte-Carlo Study. Structural Equation Modeling: A Multidisciplinary Journal, 27 (2). Retrieved from https://par.nsf.gov/biblio/10099861. https://doi.org/10.1080/10705511.2019.1637741

Gao, Chuanji, Shi, Dexin, and Maydeu-Olivares, Alberto. "Estimating the Maximum Likelihood Root Mean Square Error of Approximation (RMSEA) with Non-normal Data: A Monte-Carlo Study". Structural Equation Modeling: A Multidisciplinary Journal 27 (2). Country unknown/Code not available. https://doi.org/10.1080/10705511.2019.1637741. https://par.nsf.gov/biblio/10099861.

@article{osti_10099861,
place = {Country unknown/Code not available}, title = {Estimating the Maximum Likelihood Root Mean Square Error of Approximation (RMSEA) with Non-normal Data: A Monte-Carlo Study}, url = {https://par.nsf.gov/biblio/10099861}, DOI = {10.1080/10705511.2019.1637741}, abstractNote = {}, journal = {Structural Equation Modeling: A Multidisciplinary Journal}, volume = {27}, number = {2}, author = {Gao, Chuanji and Shi, Dexin and Maydeu-Olivares, Alberto}, }