reliability_mean: Reliability of the weighted mean of assessments

In mcbeem/giftedCalcs: Psychometrics for Gifted Program Identification

Reliability of the weighted mean of assessments

Description

This function calculates the reliability of a weighted mean of assessments given the reliability coefficient of each assessment, the correlations between them, and the weights.

Usage

reliability_mean(rely, r, w = NA)

Arguments

rely	A vector of reliability coefficients.
r	Either a correlation matrix or a vector of unique correlations. It is recommended to specify the correlations as a matrix to avoid erronous pairings of assessment correlations with reliability coefficients and weights, since this can be confusing if the correlations are supplied as a vector. Presumes that the correlation matrix has the same order of assessments as the reliability and weight vectors.
w	A vector of weights. Will be internally normalized to sum to 1 and presumes the same order of assessments as the correlation matrix and vector of reliabilities. If omitted, it is assumed that all assessments have the same weight.

Examples

r <- matrix(c(
  1, .4, .7,
  .4, 1, .5,
  .7, .5, 1
), 3, 3, byrow = TRUE)
reliability_mean(rely = c(.9, .85, .88), r = r, w = c(.5, .3, .2))

mcbeem/giftedCalcs documentation built on May 3, 2022, 3:34 a.m.