isop.calc1set {ISOP} | R Documentation |

The function calculates nonparametric indices for testing the validity of an ISOP-Model, suggested by Scheiblechner, for a given set of items.

isop.calc1set(raw, verbose = TRUE)

`raw` |
The data ISOP should be applied on |

`verbose` |
Print information about progress |

`ns, nd, nt, nss, ndd, nsd` |
Frequencies of concordant, discordant and tied vectors |

`ps, pd, pt, pss, pdd, psd` |
Probabilities of concordant, discordant and tied vectors |

`predictability` |
Multivariate index of ordinal association. Varies between -1 and +1. Does not include ties. |

`stddev` |
Standard devation of predictability |

`isotonicity` |
Nonparametric measure of positive diagonalization of an ordered contingency table. Varies between 0 and +1. Includes ties. |

`compatibility` |
Number of pairs concordant or tied |

`n` |
Number of response vectors |

`z` |
z-value of normal distribution |

`stderr` |
Standard error of predictability |

`ubas` |
Upper bound of asymptotic |

Stefan Nachtnebel

Hartmann Scheiblechner (2003)
Nonparametric IRT: Testing the bi-isotonicity of isotonic probabilistic models (ISOP)
*Psychometrika*, **68**, 1, 79–96

[Package *ISOP* version 1.0 Index]