PerFitSE: Compute standard errors for person fit statistics
In PerFit: Person Fit
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Compute standard errors for person fit statistics.
Usage
1
PerFit.SE(x)
Arguments
x
Object of class "PerFit".
Details
Function PerFit.SE computes jackknife standard errors for the scores of the person fit statistic in object x.
Value
A matrix with two columns: PFscores shows the values of the person-fit statistic and PFscores.SE shows the estimated standard errors.
Author(s)
Jorge N. Tendeiro tendeiro@hiroshima-u.ac.jp
Examples
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# Load the inadequacy scale data (dichotomous item scores):
data(InadequacyData)
# Compute the Ht scores:
Ht.out <- Ht(InadequacyData)
# Compute the SEs:
Ht.SE <- PerFit.SE(Ht.out)
Ht.SE
PerFit documentation built on Oct. 15, 2021, 9:07 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Compute standard errors for person fit statistics.
Usage
1 | PerFit.SE(x)
|
Arguments
x |
Object of class "PerFit". |
Details
Function PerFit.SE computes jackknife standard errors for the scores of the person fit statistic in object x.
Value
A matrix with two columns: PFscores shows the values of the person-fit statistic and PFscores.SE shows the estimated standard errors.
Author(s)
Jorge N. Tendeiro tendeiro@hiroshima-u.ac.jp
Examples
1 2 3 4 5 6 7 8 9 | # Load the inadequacy scale data (dichotomous item scores):
data(InadequacyData)
# Compute the Ht scores:
Ht.out <- Ht(InadequacyData)
# Compute the SEs:
Ht.SE <- PerFit.SE(Ht.out)
Ht.SE
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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