R package plink: IRT Separate Calibration Linking Methods. 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.
Keywords for this software
References in zbMATH (referenced in 7 articles , 1 standard article )
Showing results 1 to 7 of 7.
- Liu, Yang; Hannig, Jan; Pal Majumder, Abhishek: Second-order probability matching priors for the person parameter in unidimensional IRT models (2019)
- Anthony Albano: equate: An R Package for Observed-Score Linking and Equating (2016) not zbMATH
- Michela Battauz: equateIRT: An R Package for IRT Test Equating (2015) not zbMATH
- Bartolucci, Francesco; Bacci, Silvia; Gnaldi, Michela: MultiLCIRT: an R package for multidimensional latent class item response models (2014)
- Jorge González: SNSequate: Standard and Nonstandard Statistical Models and Methods for Test Equating (2014) not zbMATH
- R. Chalmers: mirt: A Multidimensional Item Response Theory Package for the R Environment (2012) not zbMATH
- Jonathan Weeks: plink: An R Package for Linking Mixed-Format Tests Using IRT-Based Methods (2010) not zbMATH