| mediation.test {bda} | R Documentation |
The Sobel mediation test
Description
To compute statistics and p-values for the Sobel test. Results for three versions of "Sobel test" are provided: Sobel test, Aroian test and Goodman test.
Usage
mediation.test(mv,iv,dv)
Arguments
mv |
The mediator variable. |
iv |
The independent variable. |
dv |
The dependent variable. |
Details
To test whether a mediator carries the influence on an IV to a DV. Missing values will be automatically excluded with a warning.
Value
a table showing the values of the test statistics (z-values) and the corresponding p-values for three tests, namely the Sobel test, Aroian test and Goodman test, respectively.
Author(s)
B. Wang bwang@southalabama.edu
References
MacKinnon, D. P., & Dwyer, J. H. (1993). Estimating mediated effects in prevention studies. Evaluation Review, 17, 144-158.
MacKinnon, D. P., Warsi, G., & Dwyer, J. H. (1995). A simulation study of mediated effect measures. Multivariate Behavioral Research, 30, 41-62.
Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods,Instruments, & Computers, 36, 717-731.
Preacher, K. J., & Hayes, A. F. (2008). asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, Instruments, & Computers, 40, 879-891.
Examples
mv = rnorm(100)
iv = rnorm(100)
dv = rnorm(100)
mediation.test(mv,iv,dv)