Composite Constructs

As of version 1.0.20, the modsem function supports the estimation of models with composite constructs, when using method="lms". The approach is based on Tamara Schamberger, Florian Schuberth, Jörg Henseler & Yves Rosseel, 2015. Depending on your lavaan version (>=0.6-20), composite constructs can also be used with the product indicator approaches (e.g., method="dblcent").

Here we can see a simple example, using the LMS approach with the TPB dataset.

tpb <- '
# Outer Model (Based on Hagger et al., 2007)
  # Latent Variables
  SN =~ sn1 + sn2
  PBC =~ pbc1 + pbc2 + pbc3
  INT =~ int1 + int2 + int3

  # Composites
  ATT <~ att1 + att2 + att3 + att4 + att5
  BEH <~ b1 + b2

# Inner Model (Based on Steinmetz et al., 2011)
  INT ~ ATT + SN + PBC
  BEH ~ INT + PBC + INT:PBC
'

fit <- modsem(tpb, TPB, method = "lms", nodes = 32)
summary(fit)