prepRep: Prepares 'eatModel' results for jackknifing and trend...

In eatModel: Educational Assessment Tools for IRT Modeling using Conquest or TAM

Description

Function uses output of transformToBista to provide one data.frame with results from T1 and T2 along with original and transformed linking errors.

Usage

prepRep(calibT2, bistaTransfT1, bistaTransfT2, makeIdsUnique = TRUE) 

Arguments

calibT2	The object returned by transformToBista for the calibration model at T2.
bistaTransfT1	The object returned by transformToBista for the conditioning model at T1.
bistaTransfT2	The object returned by transformToBista for the conditioning model at T2.
makeIdsUnique	Logical: Guarantee that person IDs do not overlap between t1 and t2?

Value

A single data.frame with person parameter estimates and linking errors for the two measurement points according to trend estimation.

Note

This version is beta. Please use with care!

Author(s)

Sebastian Weirich

Examples

# see example 6a in the help file of defineModel() for a detailed demonstration of 
# trend estimation. 

eatModel documentation built on May 2, 2019, 6:49 p.m.