se.regDIF: Standard Errors for regDIF Model(s)

In regDIF: Regularized Differential Item Functioning

Standard Errors for regDIF Model(s)

Description

Obtain standard errors for regDIF model(s).

Usage

se.regDIF(fit,
          se.type = "sem",
          tau = NULL,
          ...)

Arguments

fit	A regDIF fitted model object of class regDIF. Upon designating fit, the default is to obtain standard errors for the best-fitting model according to the minimum BIC model.
se.type	Character value indicating the method of computing standard errors for a regDIF fitted model. Default is "sem", or the supplemental EM algorithm (see Cai, 2008). Other options are in development and not yet supported.
tau	Optional numeric or vector of tau values corresponding to those already fit in fit.
...	Additional arguments to pass to regDIF function if different settings are desired.

Value

Function returns an object of class se.regDIF

regDIF documentation built on May 29, 2024, 9:31 a.m.