Description Usage Arguments Details Value Author(s) See Also Examples

Estimate or extract the p-values for indirect effects in (robust) mediation analysis.

1 2 3 4 5 6 7 |

`object` |
an object inheriting from class |

`...` |
additional arguments are currently ignored. |

`digits` |
an integer determining the number of digits of the p-values to be computed. The default is to compute 4 digits after the comma. |

For bootstrap tests, the p-value is estimated as the smallest significance
level *alpha* for which the
*(1 - alpha) * 100%* confidence interval obtained
from the bootstrapped distribution of the indirect effect does not contain
0.

This is a simple implementation, where each digit after the comma is
determined via a grid search. Hence computation time can be long if
confidence intervals are computed via the bias-corrected and accelerated
method (`"bca"`

).

For Sobel tests, the p-value is already stored in the object returned by
`test_mediation`

and simply extracted.

A numeric vector containing the p-values for the indirect effect(s).

Andreas Alfons

1 2 3 4 5 6 7 8 9 10 11 12 | ```
data("BSG2014")
## Not run:
# BCa intervals are recommended, but take a while to run
test_bca <- test_mediation(BSG2014,
x = "ValueDiversity",
y = "TeamCommitment",
m = "TaskConflict",
type = "bca")
p_value(test_bca)
## End(Not run)
``` |

robmed documentation built on Nov. 5, 2018, 5:06 p.m.

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