kequate-package: The Kernel Method of Test Equating
In kequate: The Kernel Method of Test Equating
kequate-package R Documentation
The Kernel Method of Test Equating
Description
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.
Details
Package: kequate
Type: Package
Version: 1.6.4
Date: 2022-04-11
License: GPL-3
LazyLoad: yes
Depends: R (>=2.11.0), methods, graphics, stats, ltm
Author(s)
Björn Andersson, Kenny Branberg and Marie Wiberg
Maintainer: Björn Andersson bjoern.h.andersson@gmail.com
References
Andersson, B. and Wiberg, M. (2017). Item Response Theory Observed-Score Kernel Equating. Psychometrika, 83, 48–67. <doi:10.1007/s11336-016-9528-7>
Andersson, B., Branberg, K., and Wiberg, M. (2013). Performing the Kernel Method of Test Equating with the Package kequate. Journal of Statistical Software, 55(6), 1–25. <doi:10.18637/jss.v055.i06>
Branberg, K. and Wiberg, M. (2011). Observed Score Linear Equating with Covariates. Journal of Educational Measurement, 44(4), 419–440. <doi:10.1111/j.1745-3984.2011.00153.x>
von Davier, A.A., Holland, P.W., and Thayer, D.T. (2004). The Kernel Method of Test Equating. Springer-Verlag New York.
Holland, P.W. and Thayer, D. (1998). Univariate and Bivariate Loglinear Models for Discrete Test Score Distributions ETS Technical Report No 98-1.
kequate documentation built on April 13, 2022, 9:06 a.m.
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| kequate-package | R Documentation |
The Kernel Method of Test Equating
Description
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.
Details
| Package: | kequate |
| Type: | Package |
| Version: | 1.6.4 |
| Date: | 2022-04-11 |
| License: | GPL-3 |
| LazyLoad: | yes |
| Depends: | R (>=2.11.0), methods, graphics, stats, ltm |
Author(s)
Björn Andersson, Kenny Branberg and Marie Wiberg
Maintainer: Björn Andersson bjoern.h.andersson@gmail.com
References
Andersson, B. and Wiberg, M. (2017). Item Response Theory Observed-Score Kernel Equating. Psychometrika, 83, 48–67. <doi:10.1007/s11336-016-9528-7>
Andersson, B., Branberg, K., and Wiberg, M. (2013). Performing the Kernel Method of Test Equating with the Package kequate. Journal of Statistical Software, 55(6), 1–25. <doi:10.18637/jss.v055.i06>
Branberg, K. and Wiberg, M. (2011). Observed Score Linear Equating with Covariates. Journal of Educational Measurement, 44(4), 419–440. <doi:10.1111/j.1745-3984.2011.00153.x>
von Davier, A.A., Holland, P.W., and Thayer, D.T. (2004). The Kernel Method of Test Equating. Springer-Verlag New York.
Holland, P.W. and Thayer, D. (1998). Univariate and Bivariate Loglinear Models for Discrete Test Score Distributions ETS Technical Report No 98-1.
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