structural equation modeling

En desarrollo ...

En esta página iremos depositando el acceso a aquellos recursos que en nuestro camino de aprendizaje, creamos interesantes para conocer el apasionante mundo de la modelización SEM / PLS/ LAVAAN / ...

SEM

Colección de recursos sobre SEM (Patrick Sturgis)

Sturgis, P. (2020) Structural Equation Modelling (SEM): What it is and what it isn't. National Centre for Research Methods online learning resource. Available at https://www.ncrm.ac.uk/resources/online/SEM2016/ [ accessed: January 11, 2020] 

latent variable analysis

The lavaan package is developed to provide useRs, researchers and teachers a free open-source, but commercial-quality package for latent variable modeling. You can use lavaan to estimate a large variety of multivariate statistical models, including path analysis, confirmatory factor analysis, structural equation modeling and growth curve models.

The official reference to the lavaan package is the following paper:

Yves Rosseel (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/

Mi primer CFA

Trabajando un poco sobre una escala de actitud hacia la tecnología, testando los conocimientos adquiridos en CFA. Este fue el script usado:

Referencias que deberían cumplirse:

Script ejecutado con LAVAAN

attach(data)

model <- '

    eff =~ EFF1 + EFF3 + EFF5 + EFF6 + EFF8

    sys =~ SYS1 + SYS3 + SYS4

    ful =~ FUL1 + FUL3 + FUL5

    res =~ RES3 + RES4 + RES 5

    com =~ COM1 + COM2 + COM3

    con =~ CON1 + CON2 + CON3

    prvl =~ PRVL1 + PRVL2 + PRVL3 + PRVL4

    loy =~ LOY1 + LOY2 + LOY3 + LOY4

    '

fit <- cfa(model, data, std.lv =TRUE, mimic = 'eqs', estimator = 'ML', warn = TRUE, verbose = TRUE)

summary(fit, fit.measures= TRUE, standardized = TRUE, rsquare = TRUE)

resid(fit, type='cor')

modindices(fit, sort = TRUE, minimum.value = 3.84)