R2noharm.jackknife: Jackknife Estimation of NOHARM Analysis

In alexanderrobitzsch/sirt: Supplementary Item Response Theory Models

Jackknife Estimation of NOHARM Analysis

Description

This function performs a jackknife estimation of NOHARM analysis to get standard errors based on a replication method (see Christoffersson, 1977).

Usage

R2noharm.jackknife(object, jackunits=NULL)

## S3 method for class 'R2noharm.jackknife'
summary(object, logfile=NULL, ...)

Arguments

object	Object of class R2noharm
jackunits	A vector of integers or a number. If it is a number, then it refers to the number of jackknife units. If it is a vector of integers, then this vector defines the allocation of persons jackknife units. Integers corresponds to row indexes in the data set.
logfile	File name if the summary should be sunk into a file
...	Further arguments to be passed

Value

A list of lists with following entries:

partable	Data frame with parameters
se.pars	List of estimated standard errors for all parameter estimates: tanaka.stat, rmsr.stat, rmsea.stat, chisquare_df.stat, thresholds.stat, final.constants.stat, uniquenesses.stat, factor.cor.stat, loadings.stat, loadings.theta.stat
jackknife.pars	List with obtained results by jackknifing for all parameters: j.tanaka, j.rmsr, rmsea, chisquare_df, j.pm, j.thresholds, j.factor.cor, j.loadings, j.loadings.theta
u.jacknunits	Unique jackknife elements

References

Christoffersson, A. (1977). Two-step weighted least squares factor analysis of dichotomized variables. Psychometrika, 42, 433-438.

See Also

R2noharm

alexanderrobitzsch/sirt documentation built on Dec. 1, 2024, 2:18 a.m.