lrt: Computes Andersen's Likelihood Ratio Test for the...

In christinehohensinn/pcIRT: IRT Models for Polytomous and Continuous Item Responses

Description

Andersen's Likelihood Ratio Test is a model test for Rasch models (based on CML estimation) and splits the data set into subsamples to test the person homogeneity

Usage

## S3 method for class 'DRM'
LRT(object, splitcrit = "score", ...)

## S3 method for class 'MPRM'
LRT(object, splitcrit = "score", ...)

LRT(object, ...)

## S3 method for class 'aLR'
print(x, ...)

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

Arguments

object	Object of class MPRM or DRM or aLR
splitcrit	Vector or the character vector "score" to define the split criterion. The default split criterion "score" splits the sample according to the median of the raw score. Vector can be numeric, factor or character. (see details)
x	Object of class aLR
...	further arguments

Details

The default split criterion "score" computes the raw score of every person according to the category values in the data set. The sample is split by the median of this raw score.

Value

emp_Chi2	χ^2 distributed value of the Likelihood Ratio test
df	degrees of freedom of the test statistic
pval	p value of the test statistic
itempar	estimated item parameters for each subsample
item_se	estimated standard errors for the item parameters for each subsample

Author(s)

Christine Hohensinn

References

Andersen, E. B. (1973). A goodness of fit test for the Rasch model. Psychometrika, 38, 123- 140.

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

See Also

MPRM dLRT

Examples

#simulate data set
simdat <- simMPRM(rbind(matrix(c(-1.5,0.5,0.5,1,0.8,-0.3, 0.2,-1.2), 
                  ncol=4),0), 500)

#estimate MPRM item parameters
res_mprm <- MPRM(simdat$datmat)

#compute Andersen's Likelihood Ratio test
res_lrt <- LRT(res_mprm)
summary(res_lrt)
  

christinehohensinn/pcIRT documentation built on May 13, 2019, 7 p.m.