Description Usage Arguments Value Author(s) References Examples

Computes the correlation between two composites of items. Composites may contain overalapping items. Items weights for each composite may be specified.

1 |

`r_mat` |
A correlation matrix. |

`a` |
The items used for composite A specified as a vector of column numbers. |

`b` |
The items used for composite B specified as a vector of column numbers. |

`wt_a` |
A vector containing the weights of each item in composite A. |

`wt_b` |
A vector containing the weights of each item in composite B. |

A correlation coefficient.

Allen Goebl and Jeff Jones

Lord, F.M. & Novick, M.R. (1968). *Statisticl theories of
menal test scores.*, 97-98.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
Rxx <- matrix(c(1.00, 0.25, 0.50, 0.61,
0.25, 1.00, 0.30, 0.10,
0.50, 0.30, 1.00, -0.30,
0.61, 0.10, -0.30, 1.00), 4, 4)
a <- c(1, 3)
b <- c(2, 4)
# Example using overlapping items and weights
Rxx <- matrix(.3, 4, 4); diag(Rxx) <- 1
a <- c(1, 2, 4)
b <- c(2, 3)
wt_a <- c(.60, .25, .15)
wt_b <- c(2, 3)
fuse(r_mat = Rxx, a = a, b = b, wt_a = wt_a, wt_b = wt_b)
``` |

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