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library(modsem)There are a number of approaches for estimating interaction effects
in SEM. In modsem(), the method = "method"
argument allows you to choose which to use. Different approaches can be
categorized into two groups: Product Indicator (PI) and Distribution
Analytic (DA) approaches.
"ca" = constrained approach (Algina & Moulder,
2001)
"uca" = unconstrained approach (Marsh, 2004)"rca" = residual centering approach (Little et al.,
2006)"dblcent" = double centering approach (Marsh., 2013)
"pind" = basic product indicator approach (not
recommended)"lms" = The Latent Moderated Structural equations (LMS)
approach, see the vignette"qml" = The Quasi Maximum Likelihood (QML) approach,
see the vignette"mplus"
m1 <- '
# Outer Model
X =~ x1 + x2 + x3
Y =~ y1 + y2 + y3
Z =~ z1 + z2 + z3
# Inner model
Y ~ X + Z + X:Z
'
# Product Indicator Approaches
modsem(m1, data = oneInt, method = "ca")
modsem(m1, data = oneInt, method = "uca")
modsem(m1, data = oneInt, method = "rca")
modsem(m1, data = oneInt, method = "dblcent")
# Distribution Analytic Approaches
modsem(m1, data = oneInt, method = "mplus")
modsem(m1, data = oneInt, method = "lms")
modsem(m1, data = oneInt, method = "qml")These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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