Package: plink 1.5-1
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.
Authors:
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plink.pdf |plink.html✨
plink/json (API)
NEWS
| # Install 'plink' in R: |
| install.packages('plink', repos = c('https://bocaccio.r-universe.dev', 'https://cloud.r-project.org')) |
- KB04 - Kolen - Brennan
- TK07 - Tong - Kolen
- act.mcm - ACT Mathematics Test 1997-1998 Multiple-Choice Model
- act.nrm - ACT Mathematics Test 1997-1998 Nominal Response Model
- dgn - Unidimensional Mixed-Format Item Parameters
- md.mixed - Multidimensional Mixed-Format Tests
- reading - Multi-Group Mixed-Format Reading Assessment
- reckase9 - Reckase MIRT Multidimensional Item Parameters
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:d4ce5351b4. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win | NOTE | Oct 27 2024 |
| R-4.5-linux | NOTE | Oct 27 2024 |
| R-4.4-win | NOTE | Oct 27 2024 |
| R-4.4-mac | NOTE | Oct 27 2024 |
| R-4.3-win | OK | Oct 27 2024 |
| R-4.3-mac | OK | Oct 27 2024 |
Exports:as.irt.parsas.poly.modas.weightcombine.parsdrmequateget.probgpcmgrmis.irt.parsis.irt.probis.linkis.poly.modis.sep.parslink.abilitylink.conlink.parsmcmmixednrmplinkread.bilogread.bmirtread.ermread.iclread.ltmread.multilogread.parscaleread.testfactsep.pars
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| IRT Separate Calibration Linking Methods | plink-package |
| ACT Mathematics Test 1997-1998 Multiple-Choice Model | act.mcm |
| ACT Mathematics Test 1997-1998 Nominal Response Model | act.nrm |
| irt.pars objects | as.irt.pars as.irt.pars,data.frame,missing-method as.irt.pars,list,list-method as.irt.pars,list,matrix-method as.irt.pars,list,missing-method as.irt.pars,matrix,missing-method as.irt.pars,numeric,missing-method as.irt.pars,sep.pars,missing-method as.irt.pars-methods |
| poly.mod objects | as.poly.mod |
| Calibration Weights | as.weight |
| Combine Item Parameters for Multiple Groups | combine.pars |
| Unidimensional Mixed-Format Item Parameters | dgn |
| Dichotomous Response Model Probabilities | drm drm,data.frame-method drm,irt.pars-method drm,list-method drm,matrix-method drm,numeric-method drm,sep.pars-method drm-methods |
| IRT True Score and Observed Score Equating | equate equate,irt.pars-method equate,list-method equate-methods |
| Generalized Partial Credit Model Response Probabilities | gpcm gpcm,data.frame,numeric-method gpcm,irt.pars,ANY-method gpcm,list,numeric-method gpcm,matrix,numeric-method gpcm,sep.pars,ANY-method gpcm-methods |
| Graded Response Model Probabilities | grm grm,data.frame,numeric-method grm,irt.pars,ANY-method grm,list,numeric-method grm,matrix,numeric-method grm,sep.pars,ANY-method grm-methods |
| Class "irt.pars" | initialize,irt.pars-method irt.pars-class |
| Class "irt.prob" | irt.prob-class |
| Identify Class | is.irt.pars is.irt.prob is.link is.poly.mod is.sep.pars |
| Kolen - Brennan (2004) | KB04 |
| Class "link" | link-class |
| Extract Output Information | get.prob link.ability link.con link.pars |
| Class Combinations | dat.null-class list.dat-class list.mat-class list.null-class list.num-class list.poly-class num.null-class pars.null-class |
| Multiple-Choice Model Response Probabilities | mcm mcm,data.frame,numeric-method mcm,irt.pars,ANY-method mcm,list,numeric-method mcm,matrix,numeric-method mcm,sep.pars,ANY-method mcm-methods |
| Multidimensional Mixed-Format Tests | md.mixed |
| Mixed-Format Response Probabilities | mixed mixed,data.frame,numeric-method mixed,irt.pars,ANY-method mixed,list,numeric-method mixed,matrix,numeric-method mixed,numeric,numeric-method mixed,sep.pars,ANY-method mixed-methods |
| Nominal Response Model Probabilities | nrm nrm,data.frame,numeric-method nrm,irt.pars,ANY-method nrm,list,numeric-method nrm,matrix,numeric-method nrm,sep.pars,ANY-method nrm-methods |
| Separate Calibration | plink plink,irt.pars,ANY-method plink,list,data.frame-method plink,list,list-method plink,list,matrix-method plink-methods |
| Plot Item Stuff | plot.irt.pars plot.irt.prob plot.list plot.sep.pars |
| Class "poly.mod" | poly.mod-class |
| Import Parameters from IRT Software | read.bilog read.bmirt read.erm read.icl read.ltm read.multilog read.parscale read.testfact |
| Multi-Group Mixed-Format Reading Assessment | reading |
| Reckase MIRT Multidimensional Item Parameters | reckase9 |
| Class "sep.pars" | sep.pars-class |
| Separate Item Parameters | sep.pars sep.pars,data.frame-method sep.pars,irt.pars-method sep.pars,list-method sep.pars,matrix-method sep.pars,numeric-method sep.pars-methods |
| Summarize Item Parameters/plink Output | summary.irt.pars summary.link summary.list summary.sep.pars |
| Tong - Kolen (2007) | TK07 |
