Summary method for objects of class "PerFit".
# S3 method for PerFit
summary(object, cutoff.obj=NULL,
ModelFit="NonParametric", Nreps=1000,
IP=object$IP, IRT.PModel=object$IRT.PModel, Ability=object$Ability,
Ability.PModel=object$Ability.PModel, mu=0, sigma=1,
Blvl = 0.05, Breps = 1000, CIlvl = 0.95,
UDlvl = NA, ...)Object of class "PerFit".
Object of class "PerFit.cutoff".
Method required to compute model-fitting item score patterns. The options available are "NonParametric" (default) and "Parametric".
Number of model-fitting item score patterns generated. Default is 1000.
Matrix with previously estimated item parameters. Default is object$IP.
Parametric IRT model (required if "ModelFit=Parametric" or if the person fit statistic is parametric). Default is object$IRT.PModel.
Matrix with previously estimated item parameters. Default is object$Ability.
Method to use in order to estimate the latent ability parameters (required if "ModelFit=Parametric" or if the person fit statistic is parametric). Default is object$Ability.PModel.
Mean of the apriori distribution. Only used when method="BM". Default is 0.
Standard deviation of the apriori distribution. Only used when method="BM". Default is 1.
Significance level for bootstrap distribution (value between 0 and 1). Default is 0.05.
Number of bootstrap resamples. Default is 1000.
User-defined cutoff level.
Level of bootstrap percentile confidence interval for the cutoff statistic.
Additional arguments to be passed to summary.
For a given object of class PerFit, this function prints: The PFS used, the cutoff value, the tail of the distribution of the person-fit statistic associated to misfit, the proportion of flagged respondents in the sample, and their row indices.
# NOT RUN {
# Load the inadequacy scale data (dichotomous item scores):
data(InadequacyData)
# Compute the ZU3 scores:
ZU3.out <- ZU3(InadequacyData)
summary(ZU3.out)
# }
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