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equate (version 0.1-0)

se.boot: Bootstrap Standard Errors of Equating

Description

This function calculates the standard deviation of equated scores over multiple replications of a specified equating.

Usage

se.boot(x, y, xn = sum(x[, 2]), yn = sum(y[, 2]), reps = 500, eqfun, ...)

Arguments

x, y
two-column matrices of class freqtab, where column 1 specifies the score scale and column 2 the frequencies for each score point
xn, yn
integers specifying the number of scores to sample from each distribution at each replication (default is the total number of scores in each)
reps
number of replications
eqfun
string indicating the equating function
...
further arguments passed to or from other methods

Value

  • Returns a vector of standard deviations, one per score scale point.

Details

Samples are drawn of size xn and yn, with replacement, from each score distribution. Form Y equivalents of each form X score are then obtained using the specified equating function eqfun. This process is repeated reps times. This function is called by equate.

Examples

Run this code
xtab <- freqtab(KBneat$x[,1],0:36)
ytab <- freqtab(KBneat$y[,1],0:36)
se.boot(xtab,ytab,reps=100,eqfun="equate.ln")

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