add_index.simple_mediation {JSmediation} | R Documentation |
add_index method for simple mediation
Description
Adds confidence interval for the index of mediation to a model
fitted with mdt_simple
.
Usage
## S3 method for class 'simple_mediation'
add_index(mediation_model, times = 5000, level = 0.05, ...)
Arguments
mediation_model |
A mediation model of class |
times |
Number of simulations to use to compute the Monte Carlo indirect effect confidence interval. |
level |
Alpha threshold to use for the confidence interval. |
... |
Further arguments passed to or from other methods. |
Details
Indirect effect index for simple mediation uses a
and b
estimates and their standard errors to compute the ab
product
distribution using Monte Carlo methods (see MacKinnon, Lockwood, &
Williams, 2004).
References
MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods. Multivariate Behavioral Research, 39(1), 99-128. doi: 10.1207/s15327906mbr3901_4
Examples
## getting an indirect effect index
ho_et_al$condition_c <- build_contrast(ho_et_al$condition,
"Low discrimination",
"High discrimination")
simple_model <- mdt_simple(data = ho_et_al,
IV = condition_c,
DV = hypodescent,
M = linkedfate)
add_index(simple_model)