WLErel | R Documentation |
Functions for computing reliability estimates.
WLErel(theta, error, w=rep(1, length(theta)), select=NULL)
EAPrel(theta, error, w=rep(1, length(theta)), select=NULL)
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 |
The reliability formulas follow Adams (2005). Let v
denote
the variance of theta
estimates and let s
denote
the average of the squared error
. Then, the WLE reliability is
defined as 1-s/v=(v-s)/v
while the EAP reliability is defined as
1 - s/(s+v)=v/(s+v)
.
Numeric value
Adams, R. J. (2005). Reliability as a measurement design effect. Studies in Educational Evaluation, 31(2), 162-172. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.stueduc.2005.05.008")}
#############################################################################
# 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)
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