bda (version 10.1.9)

mediation.test: 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.

Value

Missing values are not allowed.

Details

To test whether a mediator carries the influence on an IV to a DV.

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

# NOT RUN {
mv = rnorm(100)
iv = rnorm(100)
dv = rnorm(100)
mediation.test(mv,iv,dv)
# }