It computes the proportion of effect mediated along a pathway.
indirect_proportion(x, y, m =NULL, fit =NULL)
Arguments
x: The name of the x variable. Must be supplied as a quoted string.
y: The name of the y variable. Must be supplied as a quoted string.
m: A vector of the variable names of the mediator(s). The path goes from the first mediator successively to the last mediator. Cannot be NULL for this function.
fit: The fit object. Can be a lavaan::lavaan object or a list of lm() outputs. It can also be a lavaan.mi object returned by semTools::runMI() or its wrapper, such as semTools::sem.mi().
Returns
An indirect_proportion class object. It is a list-like object with these major elements:
proportion: The proportion of effect mediated.
x: The name of the x-variable.
y: The name of the y-variable.
m: A character vector of the mediator(s) along a path. The path runs from the first element to the last element.
This class has a print method and a coef method.
Details
The proportion of effect mediated along a path from x to y is the indirect effect along this path divided by the total effect from x to y
(Alwin & Hauser, 1975). This total effect is equal to the sum of all indirect effects from x to y
and the direct effect from x to y.
To ensure that the proportion can indeed be interpreted as a proportion, this function computes the the proportion only if the signs of all the indirect and direct effects from x to y
are same (i.e., all effects positive or all effects negative).
Examples
library(lavaan)dat <- data_med
head(dat)mod <-"
m ~ x + c1 + c2
y ~ m + x + c1 + c2
"
fit <- sem(mod, dat, fixed.x =FALSE)out <- indirect_proportion(x ="x", y ="y", m ="m", fit = fit)out
References
Alwin, D. F., & Hauser, R. M. (1975). The decomposition of effects in path analysis. American Sociological Review, 40(1), 37. tools:::Rd_expr_doi("10.2307/2094445")
See Also
print.indirect_proportion()
for the print method, and coef.indirect_proportion() for the coef method.