perspar: Estimation of person parameters

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

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

Usage

1
2
3
4
5
6
7
## 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

Examples

1
2
3
4
5
6
#estimate CRSM for the first four items
data(analog)
res_cr <- CRSM(extraversion, low=-10, high=10)

#estimate person parameters for CRSM
pp <- person_par(res_cr)

pcIRT documentation built on May 1, 2019, 11:09 p.m.