wished SEM Model
I need to model the image in R, and I’m a beginner. I tried to do it as follows, but I’m not sure if it’s correct. Any help would be greatly appreciated!
We have longitudinal data!
measurement point 1: A, X, Y, C
mesurement point 2: Z, U, B, R, D
mesurement point 3: W
<code>
`model <- '
# measurement model
A =~ A1 + A2
Y =~ Y1 + Y2
X =~ X1 + X2
R =~ R1 + R2
U =~ U1+ U2
Z =~ Z1 + Z2
B =~ B1+ B2
W =~ W1 + W2
# regressions
X ~ A * C
U ~ Y * X
Z ~ Y * X
R ~ B * D
# Regression model including interactions
W ~ U * Z + U * R
W ~ Y * X
# covariances (not in picture)
A ~~ B
A ~~ W
B ~~ W
X ~~ R
C ~~ D
U ~~ Z
'
fit.mod <- sem(model2, data = SEM_wide, estimator="MLR",std.lv = TRUE, std.ov = TRUE)
summary(fit.mod, fit.measures = TRUE, standardized = TRUE)`
</code>
<code>
`model <- '
# measurement model
A =~ A1 + A2
Y =~ Y1 + Y2
X =~ X1 + X2
R =~ R1 + R2
U =~ U1+ U2
Z =~ Z1 + Z2
B =~ B1+ B2
W =~ W1 + W2
# regressions
X ~ A * C
U ~ Y * X
Z ~ Y * X
R ~ B * D
# Regression model including interactions
W ~ U * Z + U * R
W ~ Y * X
# covariances (not in picture)
A ~~ B
A ~~ W
B ~~ W
X ~~ R
C ~~ D
U ~~ Z
'
fit.mod <- sem(model2, data = SEM_wide, estimator="MLR",std.lv = TRUE, std.ov = TRUE)
summary(fit.mod, fit.measures = TRUE, standardized = TRUE)`
</code>
`model <- '
# measurement model
A =~ A1 + A2
Y =~ Y1 + Y2
X =~ X1 + X2
R =~ R1 + R2
U =~ U1+ U2
Z =~ Z1 + Z2
B =~ B1+ B2
W =~ W1 + W2
# regressions
X ~ A * C
U ~ Y * X
Z ~ Y * X
R ~ B * D
# Regression model including interactions
W ~ U * Z + U * R
W ~ Y * X
# covariances (not in picture)
A ~~ B
A ~~ W
B ~~ W
X ~~ R
C ~~ D
U ~~ Z
'
fit.mod <- sem(model2, data = SEM_wide, estimator="MLR",std.lv = TRUE, std.ov = TRUE)
summary(fit.mod, fit.measures = TRUE, standardized = TRUE)`
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