This function performs the estimation of person parameters for the multidimensional polytomous Rasch model or the continuous Rating Scale model.
# S3 method for CRSM
person_par(object, ...)# S3 method for MPRM
person_par(object, ..., set0 = FALSE)
person_par(object, ...)
Object of class MPRM
or CRSM
…
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
table showing for each (observed) raw score the corresponding estimated person parameter and standard error
for each person raw score, estimated person parameter and the standard error is displayed
number of function calls
function call
The estimation is performed by Maximum Likelihood Estimation. Thus, parameters for extreme scores are not calculated!
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.