Для R пишутся и пишутся пакеты, позволяющие обрабатывать результаты педагогических тестирований. У меня накопились ссылки на пакеты, начиная с классической теории тестирований и, заканчивая свеженькой теорией тестлетов. Делюсь с общественностью.
Классическая теория
- CTT Classical Test Theory Functions (для MCQ) (http://cran.r-project.org/web/packages/CTT/CTT.pdf)
Современная теория тестирования, она же теория параметризации педагогических тестов, она же IRT (модели Раша и связанное с ними)
- diffIRT Diffusion IRT models for Response and Response Time Data (http://cran.r-project.org/web/packages/diffIRT/diffIRT.pdf)
- DIFlasso A penalty approach to Differential Item Functioning in Rasch Models (http://dssm.unipa.it/CRAN/web/packages/DIFlasso/DIFlasso.pdf)
- difR Collection of Methods to Detect Dichotomous Differential Item Functioning (DIF) (http://cran.r-project.org/web/packages/difR/difR.pdf)
- deltaPlotR Identification of dichotomous differential item functioning (DIF) using Angoff's Delta Plot method (http://cran.at.r-project.org/web/packages/deltaPlotR/deltaPlotR.pdf), метод считается одной из попыток преодолеть проблемы малых выборок в IRT, статьи по теме:
- Magis, D., Facon, B (2012) Angoff’s delta method revisited: improving the DIF detection under small samples, British journal of mathematical and statistical psychology, vol. 65, pp. 302–321
- Angoff, W.H., Ford, S.F. (1973) Item-race interaction on a test scholastic aptitude, Journal of educational measurements, vol. 10, pp. 95–106.
- Irtoys Simple interface to the estimation and plotting of IRT models (http://cran.r-project.org/web/packages/irtoys/irtoys.pdf)
- irtProb Utilities and Probability Distributions Related to Multidimensional Person Item Response Models (http://cran.r-project.org/web/packages/irtProb/irtProb.pdf) - включает 4PL-model
- Irtrees Estimation of Tree-Based Item Response Models (http://cran.r-project.org/web/packages/irtrees/irtrees.pdf), статья по теме:
- Paul De Boeck, Ivailo Partchev IRTrees: Tree-Based Item Response Models of the GLMM Family (http://www.jstatsoft.org/v48/c01/paper)
- IRTShiny An interactive Shiny application for running a IRT analysis (http://cran.r-project.org/web/packages/IRTShiny/IRTShiny.pdf)
- eRm Extended Rasch Modeling (http://cran.r-project.org/web/packages/eRm/eRm.pdf), статьи по теме:
- Patrick Mair, Reinhold Hatzinger, Marco J. Maier Extended Rasch Modeling: The R Package eRm (http://cran.r-project.org/web/packages/eRm/vignettes/eRm.pdf);
- Patrick Mair, Reinhold Hatzinger Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R (http://www.jstatsoft.org/v20/i09/paper);
- Patrick Mair & Reinhold Hatzinger CML based estimation of extended Rasch models with the eRm package in R (http://www.psychologie-aktuell.com/fileadmin/download/PschologyScience/ps_1_2007_26-43.pdf)
- mixRasch Estimates Rasch models and mixture Rasch models, including the dichotomous Rasch model, the rating scale model, and the partial credit model (http://cran.at.r-project.org/web/packages/mixRasch/mixRasch.pdf)
- mRm An R package for conditional maximum likelihood estimation in mixed Rasch models (http://cran.r-project.org/web/packages/mRm/mRm.pdf)
- Pairwise Rasch Model Parameters by Pairwise Algorithm (http://cran.r-project.org/web/packages/pairwise/pairwise.pdf),
- уроки R Tutorial Series: One-Way ANOVA with Pairwise Comparisons (http://www.r-bloggers.com/r-tutorial-series-one-way-anova-with-pairwise-comparisons/)
- plRasch Log Linear by Linear Association models and Rasch family models by pseudolikelihood estimation (http://cran.r-project.org/web/packages/plRasch/plRasch.pdf)
- RaschSampler Sampling binary matrices with fixed margins (http://cran.r-project.org/web/packages/RaschSampler/RaschSampler.pdf), статьи по теме:
- Norman D. Verhelst, Reinhold Hatzinger The Rasch Sampler (http://www.jstatsoft.org/v20/i04/paper)
- TAM Test Analysis Modules (http://cran.r-project.org/web/packages/TAM/TAM.pdf),
Теория тестлетов, она же модификация IRT, она же TRT
- sirt Supplementary Item Response Theory Models (http://cran.r-project.org/web/packages/sirt/sirt.pdf),
- сайт разработчика sirt и TAM Alexander Robitzsch (https://sites.google.com/site/alexanderrobitzsch/software)
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