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plink (version 1.5-1)

IRT Separate Calibration Linking Methods

Description

Item response theory based methods are used to compute linking constants and conduct chain linking of unidimensional or multidimensional tests for multiple groups under a common item design. The unidimensional methods include the Mean/Mean, Mean/Sigma, Haebara, and Stocking-Lord methods for dichotomous (1PL, 2PL and 3PL) and/or polytomous (graded response, partial credit/generalized partial credit, nominal, and multiple-choice model) items. The multidimensional methods include the least squares method and extensions of the Haebara and Stocking-Lord method using single or multiple dilation parameters for multidimensional extensions of all the unidimensional dichotomous and polytomous item response models. The package also includes functions for importing item and/or ability parameters from common IRT software, conducting IRT true score and observed score equating, and plotting item response curves/surfaces, vector plots, information plots, and comparison plots for examining parameter drift.

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Version

Install

install.packages('plink')

Monthly Downloads

1,159

Version

1.5-1

License

GPL (>= 2)

Maintainer

Jonathan Weeks

Last Published

April 26th, 2017

Functions in plink (1.5-1)

dgn

Unidimensional Mixed-Format Item Parameters
drm-methods

Dichotomous Response Model Probabilities
act.mcm

ACT Mathematics Test 1997-1998 Multiple-Choice Model
act.nrm

ACT Mathematics Test 1997-1998 Nominal Response Model
as.weight

Calibration Weights
combine.pars

Combine Item Parameters for Multiple Groups
as.irt.pars

irt.pars objects
as.poly.mod

poly.mod objects
KB04

Kolen - Brennan (2004)
TK07

Tong - Kolen (2007)
list.poly-class

Class Combinations
mcm-methods

Multiple-Choice Model Response Probabilities
grm-methods

Graded Response Model Probabilities
irt.pars-class

Class "irt.pars"
irt.prob-class

Class "irt.prob"
is.irt.pars

Identify Class
md.mixed

Multidimensional Mixed-Format Tests
mixed-methods

Mixed-Format Response Probabilities
equate-methods

IRT True Score and Observed Score Equating
gpcm-methods

Generalized Partial Credit Model Response Probabilities
nrm-methods

Nominal Response Model Probabilities
plink-methods

Separate Calibration
plink-package

IRT Separate Calibration Linking Methods
plot.irt.prob

Plot Item Stuff
poly.mod-class

Class "poly.mod"
read.bilog

Import Parameters from IRT Software
reading

Multi-Group Mixed-Format Reading Assessment
reckase9

Reckase MIRT Multidimensional Item Parameters
summary.irt.pars

Summarize Item Parameters/plink Output
link-class

Class "link"
link.con

Extract Output Information
sep.pars-class

Class "sep.pars"
sep.pars-methods

Separate Item Parameters