An Alternative and Complementary Approach to Interpreting the Regression on the Dependent Latent Variable in a MIMIC Model
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Letter to the Editor regarding the article by Grande Ratti et al., entitled “MIMIC Models: From Neuroscience to the Health Sciences,” which proposes a novel and complementary approach to the interpretation of MIMIC models, based on the analysis of estimated (rather than standardized) coefficients.
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Grande Ratti MF, Pérez Manelli RY, Vázquez Peña FR, Cordón Pozo E. Modelos MIMIC: de la neurociencia a las ciencias de la salud. Rev. Hosp. Ital. B.Aires 2024 Oct. 10;44(4):e0000344. Disponible en: https://ojs.hospitalitaliano.org.ar/index.php/revistahi/article/view/344 DOI: https://doi.org/10.51987/rev.hosp.ital.b.aires.v44i4.344
Rosseel Y. lavaan: An R Package for Structural Equation Modeling. J Stat Soft 2012 May 24;48:1–36. DOI: https://doi.org/10.18637/jss.v048.i02
The R Project for Statistical Computing [cited 2025 Jul 9]. R Core Team. 2025. A Language and Environment for Statistical Computing. R Foundation for Statistical Computig, Vienna, Austria. Disponible en: https://www.R-project.org
Gana K, Broc G. Structural Equation Modeling with lavaan. John Wiley & Sons; 2019. 299 p. Disponible en: https://play.google.com/store/books/details?id=QMOCDwAAQBAJ DOI: https://doi.org/10.1002/9781119579038