Referencias

Beaujean, A. A. (2014). Latent variable modeling using R: A step by step guide. New York: Routledge/Taylor & Francis Group.

Brown, T. A. (2015). Confirmatory factor analysis for applied research (Second edition). New York ; London: The Guilford Press.

Epskamp, S., & Simon Stuber. (2017). SemPlot: Path diagrams and visual analysis of various sem packages’ output. https://CRAN.R-project.org/package=semPlot

Holzinger, K., & Swineford, F. (1939). A study in factor analysis: The stability of a bifactor solution. Supplementary Educational Monograph, 48.

Jorgensen, T. D., Pornprasertmanit, S., Schoemann, A., & Rosseel, Y. (2018). SemTools: Useful tools for structural equation modeling. https://CRAN.R-project.org/package=semTools

Korkmaz, S., Goksuluk, D., & Zararsiz, G. (2018). MVN: Multivariate normality tests. https://CRAN.R-project.org/package=MVN

R Core Team. (2018). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/

Revelle, W. (2018). Psych: Procedures for psychological, psychometric, and personality research. https://CRAN.R-project.org/package=psych

Rosseel, Y. (2018). Lavaan: Latent variable analysis. https://CRAN.R-project.org/package=lavaan

Xie, Y. (2018). Bookdown: Authoring books and technical documents with r markdown. https://github.com/rstudio/bookdown