IRT Separate Calibration Linking Methods
Separate Calibration
IRT Separate Calibration Linking Methods
Plot Item Stuff
Class "poly.mod"
Import Parameters from IRT Software
Multi-Group Mixed-Format Reading Assessment
Reckase MIRT Multidimensional Item Parameters
ACT Mathematics Test 1997-1998 Multiple-Choice Model
ACT Mathematics Test 1997-1998 Nominal Response Model
irt.pars objects
poly.mod objects
Calibration Weights
Combine Item Parameters for Multiple Groups
Unidimensional Mixed-Format Item Parameters
Dichotomous Response Model Probabilities
IRT True Score and Observed Score Equating
Generalized Partial Credit Model Response Probabilities
Graded Response Model Probabilities
Class "irt.pars"
Class "irt.prob"
Identify Class
Kolen - Brennan (2004)
Class "link"
Extract Output Information
Class Combinations
Multiple-Choice Model Response Probabilities
Multidimensional Mixed-Format Tests
Mixed-Format Response Probabilities
Nominal Response Model Probabilities
Class "sep.pars"
Separate Item Parameters
Summarize Item Parameters/plink Output
Tong - Kolen (2007)
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.