summary PerFit {PerFit} | R Documentation |
Summary method for objects of class "PerFit"
Description
Summary method for objects of class "PerFit".
Usage
## S3 method for class '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, ...)
Arguments
object |
Object of class "PerFit". |
cutoff.obj |
Object of class "PerFit.cutoff". |
ModelFit |
Method required to compute model-fitting item score patterns. The options available are |
Nreps |
Number of model-fitting item score patterns generated. Default is 1000. |
IP |
Matrix with previously estimated item parameters. Default is |
IRT.PModel |
Parametric IRT model (required if |
Ability |
Matrix with previously estimated item parameters. Default is |
Ability.PModel |
Method to use in order to estimate the latent ability parameters (required if |
mu |
Mean of the apriori distribution. Only used when |
sigma |
Standard deviation of the apriori distribution. Only used when |
Blvl |
Significance level for bootstrap distribution (value between 0 and 1). Default is 0.05. |
Breps |
Number of bootstrap resamples. Default is 1000. |
UDlvl |
User-defined cutoff level. |
CIlvl |
Level of bootstrap percentile confidence interval for the cutoff statistic. |
... |
Additional arguments to be passed to |
Details
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.
Author(s)
Jorge N. Tendeiro tendeiro@hiroshima-u.ac.jp
See Also
cutoff
, flagged.resp
, plot.PerFit
, summary.PerFit
Examples
# Load the inadequacy scale data (dichotomous item scores):
data(InadequacyData)
# Compute the ZU3 scores:
ZU3.out <- ZU3(InadequacyData)
summary(ZU3.out)