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huacheng1985
catR:Generation of IRT Response Patterns under Computerized Adaptive Testing
Provides routines for the generation of response patterns under unidimensional dichotomous and polytomous computerized adaptive testing (CAT) framework. It holds many standard functions to estimate ability, select the first item(s) to administer and optimally select the next item, as well as several stopping rules. Options to control for item exposure and content balancing are also available (Magis and Barrada (2017) <doi:10.18637/jss.v076.c01>).
Maintained by Cheng Hua. Last updated 3 years ago.
3 stars 4.14 score 107 scripts 1 dependents
swnydick
catIrt:Simulate IRT-Based Computerized Adaptive Tests
Functions designed to simulate data that conform to basic unidimensional IRT models (for now 3-parameter binary response models and graded response models) along with Post-Hoc CAT simulations of those models given various item selection methods, ability estimation methods, and termination criteria. See Wainer (2000) <doi:10.4324/9781410605931>, van der Linden & Pashley (2010) <doi:10.1007/978-0-387-85461-8_1>, and Eggen (1999) <doi:10.1177/01466219922031365> for more details.
Maintained by Steven Nydick. Last updated 3 years ago.
4 stars 3.53 score 17 scripts
cran
mstR:Procedures to Generate Patterns under Multistage Testing
Generation of response patterns under dichotomous and polytomous computerized multistage testing (MST) framework. It holds various item response theory (IRT) and score-based methods to select the next module and estimate ability levels (Magis, Yan and von Davier (2017, ISBN:978-3-319-69218-0)).
Maintained by David Magis. Last updated 7 years ago.
3 stars 1.48 score