This function calculates the average deviation of the mean or median as a measure of within-group agreement as proposed by Burke, Finkelstein and Dusig (1999). A basic rule for interpreting whether or not the results display practically significant levels of agreement is whether the AD value is smaller than A/6 where A represents the number of response options. For instance, A would be 5 on a five-point response option format of strongly disagree, disagree, neither, agree, strongly agree (see Dunlap, Burke & Smith-Crowe, 2003). To estimate statistical significance see the ad.m.sim function and help files.

1 |

`x` |
A vector representing a single item or a matrix representing a scale of interest. If a matrix, each column of the matrix represents a scale item, and each row represents an individual respondent. |

`grpid` |
A vector identifying the groups from which x originated. |

`type` |
A character string for either the mean or median. |

`grpid` |
The group identifier |

`AD.M` |
The average deviation around the mean or median for each group |

`gsize` |
Group size |

Paul Bliese paul.bliese@moore.sc.edu

Burke, M. J., Finkelstein, L. M., & Dusig, M. S. (1999). On average deviation indices for estimating interrater agreement. Organizational Research Methods, 2, 49-68.

Dunlap, W. P., Burke, M. J., & Smith-Crowe, K. (2003). Accurate tests of statistical significance for rwg and average deviation interrater agreement indices. Journal of Applied Psychology, 88, 356-362.

`ad.m.sim`

`rwg`

`rwg.j`

`rgr.agree`

`rwg.sim`

`rwg.j.sim`

1 2 3 4 5 6 7 8 9 10 |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.