add_index.within_participant_mediation {JSmediation} | R Documentation |
add_index method for within-participant mediation
Description
Adds the confidence interval for the index of
within-participant mediation to a model fitted with
mdt_within
or mdt_within_wide
.
Usage
## S3 method for class 'within_participant_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 within-participant mediation uses a
and b
estimates and their standard error 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
within_model <- mdt_within(data = dohle_siegrist,
IV = name,
DV = willingness,
M = hazardousness,
grouping = participant)
add_index(within_model)