reliability: Compute Reliability and Standard Error

In fwijayanto/autoRasch: Semi-Automated Rasch Analysis

Compute Reliability and Standard Error

Description

This function computes the reliability index, separation and the standard error of the models estimation.

Usage

checkRel(obj)

## S3 method for class 'seprel'
summary(object, ...)

Arguments

obj	Object that resulted from any models estimation, e.g., pcm, gpcm, pcmdif, and gpcmdif.
object	The object of class 'seprel'.
...	Further arguments to be passed.

Details

Person reliability index

Value

A list of two objects, the reliability and the standard error.

reliability

• PRI Person reliability index.

• PSR Person separation reliability.

• IRI Item reliability index.

• ISR Item separation reliability.

stdError

• var_err_pers A matrix of variance error of the estimation.

• std_err_pers A matrix of standard error of the estimation.

• rmsse_pers Root mean square of the standard error per person.

• var_err_item A matrix of variance error of the estimation.

• std_err_item A matrix of standard error of the estimation.

• rmsse_item Root mean square of the standard error per person.

• hessian_theta Hessian matrix of theta parameter.

• hessian_beta Hessian matrix of beta parameter.

Examples

pcmObject <- pcm(shortDIF)
rel <- checkRel(pcmObject)
summary(rel)

fwijayanto/autoRasch documentation built on Nov. 9, 2022, 12:57 p.m.