Jackknife Estimation of NOHARM Analysis

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 R2noharm.jackknife
summary(object, logfile=NULL, ...)

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

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

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