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

The bootstrap-CFA tries to replicate the pattern of significant configurations by re-sampling.

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`configs` |
Contains the configurations. This can be a dataframe or a matrix. The dataframe can contain numbers, characters, factors, or booleans. The matrix can consist of numbers, characters or booleans (factors are implicitely re-converted to numerical levels). There must be >=3 columns. |

`cnts` |
Contains the counts for the configuration. If it is set to NA, a count of one is assumed for every
row. This allows untabulated data to be processed. |

`runs` |
Number of samples to be drawn. |

`sig.item` |
Indicator of significance in the result table (sig.z,sig.chisq,sig.perli,sig.zl, sig.zl.corr). Do not forget to set the proper parameters for the CFA if sig.perli,sig.zl or sig.zl.corr are to be used! |

`...` |
Parameters to be to relayed to the CFA |

Takes 'runs' samples and does as many CFAs while counting how many times this configuration was considered to be significant.

Repeated-measures CFAs (mcfa) are not provided.

This is a heuristic method rather than a strict test of significance since there is no adjustment for multiple testing whatsoever. The advantage is a more reliable picture compared to splitting the original data, doing a CFA, and checking if the configurations re-appear in a CFA with the other half of the data.

`cnt.antitype` |
Number of antiypes |

`cnt.type ` |
Number of types |

`pct.types` |
Number of types in percent |

`cnt.sig` |
Number of significant results |

`pct.cnt.sig` |
Number of significant results in percent |

`bcfa()`

performs many CFAs which are by themselves slow, so the execution can
be **very** time-consuming, especially if a sufficiently high value for `runs`

was selected

Stefan Funke <[email protected]>

Lautsch, E., von Weber S. (1995) Methoden und Anwendungen der Konfigurationsfrequenzanalyse Psychologie und Medizin, Beltz Psychologie Verlagsunion

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cfa documentation built on May 30, 2017, 4:59 a.m.

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