Hi all,
I am using package lavaan and have created a structural equation model with
two exogenous and seven endogenous variables with the following
relationships
#specify the model
m1 = ' # regressions
D ~ ma + hs + b4 + b5 + b15 + b16
ma ~ hs + b4 + b5 + b15 + b16
hs ~ b4 + b5 + b15 + b16
b4 ~ el + la
b5 ~ el + la
b15 ~ el + la
b16 ~ el + la
#(residual) variances and covariances
b4 ~~ b5
b4 ~~ b15
b4 ~~ b16
b5 ~~ b15
b5 ~~ b16
b15 ~~ b16
'
# fit the model
fit.m1 = sem(m1, data=x)
# summary result with standardised coefficients and r^2
summary(fit.m1, standardized = TRUE, rsq=TRUE)
#
My question.......I would like to calculate the total indirect effects of
all variables on the right-hand-side of the regression eqn's so that i can
work out the total effect (indirect effects + direct effect)
I know the direct effect and i can calculate the total indirect effects by
hand but i was wondering if there is a function that can calculate this?
Many thanks
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