bda (version 18.2.2)

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)

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.

Arguments

mv

The mediator variable.

iv

The independent variable.

dv

The dependent variable.

Author

B. Wang

Details

To test whether a mediator carries the influence on an IV to a DV. Missing values will be automatically excluded with a warning.

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)