The kernel equating technique for equating test scores is implemented, supporting the Equivalent Groups (EG), Single Group (SG), Counterbalanced (CB), Non-Equivalent groups with Anchor Test Chain Equating (NEAT CE), Non-Equivalent groups with Anchor Test Post-Stratification Equating (NEAT PSE) and Non-Equivalent groups with Covariates (NEC) designs. Support for three types of kernels is provided: Gaussian, logistic and uniform. Standard errors of equating and standard errors of the difference between two equating functions are provided for all designs and kernels. Also included are functions aiding the search for a proper log-linear pre-smoothing model and the ability to use Item Response Theory Observed Score Equating (IRT-OSE) in the Kernel Equating framework.
|Depends:||R (>=2.11.0), methods, graphics, stats, ltm|
Bjorn Andersson, Kenny Branberg and Marie Wiberg
Maintainer: Bjorn Andersson [email protected]
Andersson, B., Branberg, K., Wiberg, M. (2013). Performing the Kernel Method of Test Equating with the Package kequate. Journal of Statistical Software, 55(6), 1–25. URL http://www.jstatsoft.org/v55/i06/
Branberg, K., Wiberg, M. (2011). Observed Score Linear Equating with Covariates. Journal of Educational Measurement, 44(4), 419–440. URL http://dx.doi.org/10.1111/j.1745-3984.2011.00153.x
von Davier, A.A., Holland, P.W., Thayer, D.T. (2004). The Kernel Method of Test Equating. Springer-Verlag New York.
Holland, P.W, Thayer, D. (1998). Univariate and Bivariate Loglinear Models for Discrete Test Score Distributions ETS Technical Report No 98-1.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.