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library(modsem)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)These binaries (installable software) and packages are in development.
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