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)
```

*bda*version 18.2.2 Index]