dLRT {pcIRT} | R Documentation |
This function tests whether the multidimensional polytomous Rasch model can be reduced to a unidimensional polytomous model.
dLRT(MPRMobj) ## S3 method for class 'dLR' print(x, ...) ## S3 method for class 'dLR' summary(object, ...)
MPRMobj |
Object of class |
x |
object of class |
... |
... |
object |
object of class |
For this test, a unidimensional model assuming the categories as linearly dependent is computed. Subsequently a Likelihood Ratio test is conducted.
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 |
Christine Hohensinn
Fischer, G. H. (1974). Einfuehrung in die Theorie psychologischer Tests [Introduction to test theory]. Bern: Huber.
#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) res_dlrt <- dLRT(res_mprm) summary(res_dlrt)