brxx_ICC: brxx_ICC: Bayesian Estimation of Reliability from ICC

In brxx: Bayesian Test Reliability Estimation

Description

This function estimates reliability from intraclass correlation coefficient

Usage

brxx_ICC(mod, alpha, beta, CI, items)

Arguments

mod	A mixed effects model object estimated by blmer.
alpha	Prior true score variance (subject variance)
beta	Prior error variance (residual variance)
CI	Credible interval quantile, as a decimal (ie, for 95 percent, 0.95).
items	Number of test items.

Value

Returns estimated median and quantile based credible limits for ICC.

Examples

your_data_wide=mvrnorm(20,c(0,0),matrix(c(1,0.8,0.8,1),nrow=2,ncol=2))
your_data_long=c(as.vector(your_data_wide[,1]),as.vector(your_data_wide[,2]))
time=c(rep(0,20),rep(1,20))
id=c(rep(1:20,2))
mod=blmer(your_data_long~time+(1|id))
brxx_ICC(mod=mod,alpha=3.51,beta=1.75,CI=0.95,items=10)

brxx documentation built on Jan. 26, 2021, 5:06 p.m.