empirical_rxx: Function to calculate the empirical (marginal) reliability

In xzhaopsy/MIRT: Multidimensional Item Response Theory

Description

Given secondary latent trait estimates and their associated standard errors returned from fscores, compute the empirical reliability.

Usage

empirical_rxx(Theta_SE)

Arguments

Theta_SE

a matrix of latent trait estimates returned from fscores with the options full.scores = TRUE and full.scores.SE = TRUE

Author(s)

Phil Chalmers [e-mail]

References

Chalmers, R., P. (2012). mirt: A Multidimensional Item Response Theory Package for the R Environment. Journal of Statistical Software, 48(6), 1-29. doi: 10.18637/jss.v048.i06

See Also

fscores, marginal_rxx

Examples

## Not run: 

dat <- expand.table(deAyala)
mod <- mirt(dat, 1)

theta_se <- fscores(mod, full.scores.SE = TRUE)
empirical_rxx(theta_se)

theta_se <- fscores(mod, full.scores.SE = TRUE, method = 'ML')
empirical_rxx(theta_se)


## End(Not run)

xzhaopsy/MIRT documentation built on May 29, 2019, 12:42 p.m.