Summary method for objects of class "PerFit".

1 2 3 4 5 6 7 |

`object` |
Object of class "PerFit". |

`cutoff.obj` |
Object of class "PerFit.cutoff". |

`ModelFit` |
Method required to compute model-fitting item score patterns. The options available are |

`Nreps` |
Number of model-fitting item score patterns generated. Default is 1000. |

`IP` |
Matrix with previously estimated item parameters. Default is |

`IRT.PModel` |
Parametric IRT model (required if |

`Ability` |
Matrix with previously estimated item parameters. Default is |

`Ability.PModel` |
Method to use in order to estimate the latent ability parameters (required if |

`mu` |
Mean of the apriori distribution. Only used when |

`sigma` |
Standard deviation of the apriori distribution. Only used when |

`Blvl` |
Significance level for bootstrap distribution (value between 0 and 1). Default is 0.05. |

`Breps` |
Number of bootstrap resamples. Default is 1000. |

`UDlvl` |
User-defined cutoff level. |

`CIlvl` |
Level of bootstrap percentile confidence interval for the cutoff statistic. |

`...` |
Additional arguments to be passed to |

For a given object of class `PerFit`

, this function prints: The PFS used, the cutoff value, the tail of the distribution of the person-fit statistic associated to misfit, the proportion of flagged respondents in the sample, and their row indices.

Jorge N. Tendeiro j.n.tendeiro@rug.nl

`cutoff`

, `flagged.resp`

, `plot.PerFit`

, `summary.PerFit`

1 2 3 4 5 6 7 | ```
# Load the inadequacy scale data (dichotomous item scores):
data(InadequacyData)
# Compute the ZU3 scores:
ZU3.out <- ZU3(InadequacyData)
summary(ZU3.out)
``` |

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