Showing 4 of total 4 results (show query)
dexter-psychometrics
dexter:Data Management and Analysis of Tests
A system for the management, assessment, and psychometric analysis of data from educational and psychological tests.
Maintained by Jesse Koops. Last updated 19 days ago.
8 stars 8.97 score 135 scripts 2 dependents
irtools
irtoys:A Collection of Functions Related to Item Response Theory (IRT)
A collection of functions useful in learning and practicing IRT, which can be combined into larger programs. Provides basic CTT analysis, a simple common interface to the estimation of item parameters in IRT models for binary responses with three different programs (ICL, BILOG-MG, and ltm), ability estimation (MLE, BME, EAP, WLE, plausible values), item and person fit statistics, scaling methods (MM, MS, Stocking-Lord, and the complete Hebaera method), and a rich array of parametric and non-parametric (kernel) plots. Estimates and plots Haberman's interaction model when all items are dichotomously scored.
Maintained by Ivailo Partchev. Last updated 3 years ago.
3 stars 5.39 score 55 scripts 5 dependents
timobechger
dexterMST:CML and Bayesian Calibration of Multistage Tests
Conditional Maximum Likelihood Calibration and data management of multistage tests. Supports polytomous items and incomplete designs with linear as well as multistage tests. Extended Nominal Response and Interaction models, DIF and profile analysis. See Robert J. Zwitser and Gunter Maris (2015)<doi:10.1007/s11336-013-9369-6>.
Maintained by Timo Bechger. Last updated 1 years ago.
2.93 score 17 scripts
cran
birtr:The R Package for "The Basics of Item Response Theory Using R"
R functions for "The Basics of Item Response Theory Using R" by Frank B. Baker and Seock-Ho Kim (Springer, 2017, ISBN-13: 978-3-319-54204-1) including iccplot(), icccal(), icc(), iccfit(), groupinv(), tcc(), ability(), tif(), and rasch(). For example, iccplot() plots an item characteristic curve under the two-parameter logistic model.
Maintained by Seock-Ho Kim. Last updated 7 years ago.
1.00 score