# fuse: Computes the correlation between two composites of items. In iopsych: Methods for Industrial/Organizational Psychology

## Description

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

## Usage

 1 fuse(r_mat, a, b, wt_a = rep(1, length(a)), wt_b = rep(1, length(b)))

## Arguments

 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.

## Value

A correlation coefficient.

## Author(s)

Allen Goebl and Jeff Jones

## References

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

## Examples

 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)

iopsych documentation built on May 30, 2017, 5:33 a.m.