inst/doc/interaction_two_etas.R

In modsem: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)

## ----include = FALSE----------------------------------------------------------
EVAL_DEFAULT <- FALSE
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  eval = EVAL_DEFAULT
)

## ----setup--------------------------------------------------------------------
#  library(modsem)

## -----------------------------------------------------------------------------
#  tpb <- '
#  # Outer Model (Based on Hagger et al., 2007)
#    ATT =~ att1 + att2 + att3 + att4 + att5
#    SN =~ sn1 + sn2
#    PBC =~ pbc1 + pbc2 + pbc3
#    INT =~ int1 + int2 + int3
#    BEH =~ b1 + b2
#  
#  # Inner Model (Based on Steinmetz et al., 2011)
#    INT ~ ATT + SN + PBC
#    BEH ~ INT + PBC
#    BEH ~ INT:INT
#  '

## -----------------------------------------------------------------------------
#  tpb_linear <- 'INT ~ PBC + ATT + SN'

## -----------------------------------------------------------------------------
#  tpb_nonlinear <- '
#  # Outer Model (Based on Hagger et al., 2007)
#    ATT =~ att1 + att2 + att3 + att4 + att5
#    SN =~ sn1 + sn2
#    PBC =~ pbc1 + pbc2 + pbc3
#    INT =~ int1 + int2 + int3
#    BEH =~ b1 + b2
#  
#  # Inner Model (Based on Steinmetz et al., 2011)
#    BEH ~ INT + PBC
#    BEH ~ INT:INT
#  '

## -----------------------------------------------------------------------------
#  est_lms <- modsem(tpb_nonlinear, data = TPB, cov.syntax = tpb_linear,
#                    method = "lms")
#  summary(est_lms)
#  
#  est_qml <- modsem(tpb_nonlinear, data = TPB, cov.syntax = tpb_linear,
#                    method = "qml")
#  summary(est_qml)