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

Computes the mean of bivariate Pearson's product moment correlations between raters as an index of the interrater reliability of quantitative data.

1 |

`ratings` |
n*m matrix or dataframe, n subjects m raters. |

`fisher` |
a logical indicating whether the correlation coefficients should be Fisher z-standardized before averaging. |

Missing data are omitted in a listwise way.

The mean of bivariate correlations should not be used as an index of interrater reliability when the variance of ratings differs between raters.

The null hypothesis r=0 could only be tested when Fisher z-standardized values are used for the averaging.

When computing Fisher z-standardized values, perfect correlations are omitted before averaging because z equals +/-Inf in that case.

A list with class '"irrlist"' containing the following components:

`$method` |
a character string describing the method applied for the computation of interrater reliability. |

`$subjects` |
the number of subjects examined. |

`$raters` |
the number of raters. |

`$irr.name` |
a character string specifying the name of the coefficient. |

`$value` |
coefficient of interrater reliability. |

`$stat.name` |
a character string specifying the name of the corresponding test statistic. |

`$statistic` |
the value of the test statistic. |

`$p.value` |
the p-value for the test. |

`$error` |
a character string specifying whether correlations were dropped before the computation of the Fisher z-standardized average. |

Matthias Gamer

1 2 |

```
Loading required package: lpSolve
Mean of bivariate correlations R
Subjects = 20
Raters = 3
R = 0.224
z = 0.922
p-value = 0.357
```

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