The Sobel mediation test

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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

1
 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.

Value

Missing values are not allowed.

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

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mv = rnorm(100)
iv = rnorm(100)
dv = rnorm(100)
mediation.test(mv,iv,dv)