WLErel {TAM}R Documentation

Reliability Estimation in TAM

Description

Functions for computing reliability estimates.

Usage

WLErel(theta, error, w=rep(1, length(theta)), select=NULL)

EAPrel(theta, error, w=rep(1, length(theta)), select=NULL)

Arguments

theta

Vector with theta estimates

error

Vector with standard errors of theta estimates

w

Optional vector of person weights

select

Optional vector for selecting cases

Details

The reliability formulas follow Adams (2005). Let vv denote the variance of theta estimates and let ss denote the average of the squared error. Then, the WLE reliability is defined as 1s/v=(vs)/v1-s/v=(v-s)/v while the EAP reliability is defined as 1s/(s+v)=v/(s+v)1 - s/(s+v)=v/(s+v).

Value

Numeric value

References

Adams, R. J. (2005). Reliability as a measurement design effect. Studies in Educational Evaluation, 31(2), 162-172. doi:10.1016/j.stueduc.2005.05.008

Examples

#############################################################################
# EXAMPLE 1: Toy example for reliability functions
#############################################################################

set.seed(9897)
N <- 100
# simulate theta and error SDs
x <- stats::rnorm(N,sd=2)
error <- stats::runif(N, .7, 1.3)
# compute WLE reliability
WLErel(x,error)
# compute EAP reliaility
EAPrel(x,error)

[Package TAM version 4.2-21 Index]