Ase3pl {DFIT} | R Documentation |
Calculates the asymptotic covariance matrix of item parameter estimates under the 3pl model
Description
Calculates the asymptotic covariance matrix of item parameter estimates under the 3pl model
Usage
Ase3pl(
itemParameters,
distribution = "norm",
distributionParameters = list(mean = 0, sd = 1),
logistic = TRUE,
sampleSize = 1,
subdivisions = 5000
)
Arguments
itemParameters |
A matrix or vector containing the item difficulties. |
distribution |
A string character indicating the generic name for the assumed distribution. |
distributionParameters |
A list of extra parameters for the distribution function. |
logistic |
A logical indicating whether the logistic or the normal metric should be used. |
sampleSize |
A value indicating the sample size. |
subdivisions |
A numeric value stating the maximum number of subdivisions for adaptive quadrature. |
Value
ase A list containing the asymptotic matrices for each item
Author(s)
Victor H. Cervantes <vhcervantesb at unal.edu.co>
References
Li, Y. & Lissitz, R. (2004). Applications of the analytically derived standard errors of Item Response Theory item parameter estimates. Journal of educational measurement, 41(2), 85–117. doi:10.1111/j.1745-3984.2004.tb01109.x