Description Usage Arguments Value Author(s) Examples

This code estimates maximized lambda4, a split-half reliability estimate. The function splits the halves by specifying a two column list of paired inter-item covariances in descending order. It then calculates Guttman's lambda4 on every possible split-half while preserving the inter-item pairings. The function then returns a list of the Lambda4s and then takes the minimum, maximum, median, and mean of the list. This calculation is most appropiately applied to tests with multiple factors.

1 2 3 | ```
cov.lambda4(x, method = "Hunt", missing = "complete",
show.lambda4s = FALSE, show.splits = FALSE,
standardize = FALSE)
``` |

`x` |
Can be either a data matrix or a covariance matrix. |

`method` |
Can specify either "Hunt" or "Osburn". |

`missing` |
How to handle missing values. |

`show.lambda4s` |
If TRUE then the estimates for each split are included in the output. |

`show.splits` |
If TRUE then a binary matrix is exported that describes the ways the items were split. |

`standardize` |
When TRUE results are standardized by using the correlation matrix instead of the covariance matrix for computation. |

`estimates` |
The mean, median, max, and min of the split-half reliabilities. |

`lambda4s` |
A vector of maximized split-half reliabilities. |

`method` |
The method chosen. Either "Hunt" or "Osburn". |

`Analysis.Details` |
Returns the number of variables and the number of split-half reliabilities. |

`Splits` |
The binary indicators of the splits for the min, max, and median split-half reliability. |

`show.splits` |
Logical argument selected to show the splits. |

`show.lambdas4s` |
Logical argument selected to show the split-half reliabilities. |

Tyler Hunt [email protected]

1 2 | ```
cov.lambda4(Rosenberg, method="Hunt")
cov.lambda4(Rosenberg, method="Osburn")
``` |

JackStat/Lambda4 documentation built on May 7, 2019, 10:16 a.m.

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