perspar: Estimation of person parameters

In pcIRT: IRT Models for Polytomous and Continuous Item Responses

Description

This function performs the estimation of person parameters for the multidimensional polytomous Rasch model or the continuous Rating Scale model.

Usage

## S3 method for class 'CRSM'
person_par(object, ...)

## S3 method for class 'MPRM'
person_par(object, ..., set0 = FALSE)

person_par(object, ...)

Arguments

object	Object of class MPRM or CRSM
...	...
set0	if set0=TRUE for those raw scores patterns with 0 observations (except in the reference category) the person parameter value is set minimal. With this procedure it is possible to estimate at least the remaining person parameters of these raw score pattern. Note: only relevant for person parameter estimation of MPRM. The person parameters for each raw score vector are constrained to sum zero

Details

The estimation is performed by Maximum Likelihood Estimation. Thus, parameters for extreme scores are not calculated!

Value

ptable	table showing for each (observed) raw score the corresponding estimated person parameter and standard error
pparList	for each person raw score, estimated person parameter and the standard error is displayed
fun_calls	number of function calls
call	function call

Author(s)

Christine Hohensinn

References

Fischer, G. H. (1974). Einfuehrung in die Theorie psychologischer Tests [Introduction to test theory]. Bern: Huber.

Mueller, H. (1999). Probabilistische Testmodelle fuer diskrete und kontinuierliche Ratingskalen. [Probabilistic models for discrete and continuous rating scales]. Bern: Huber.

See Also

CRSM

pcIRT documentation built on July 16, 2019, 1:02 a.m.