R package kequate: The Kernel Method of Test Equating. Performing the Kernel Method of Test Equating with the Package kequate. In standardized testing it is important to equate tests in order to ensure that the test takers, regardless of the test version given, obtain a fair test. Recently, the kernel method of test equating, which is a conjoint framework of test equating, has gained popularity. The kernel method of test equating includes five steps: (1) pre-smoothing, (2) estimation of the score probabilities, (3) continuization, (4) equating, and (5) computing the standard error of equating and the standard error of equating difference. Here, an implementation has been made for six different equating designs: equivalent groups, single group, counter balanced, non-equivalent groups with anchor test using either chain equating or post- stratification equating, and non-equivalent groups using covariates. An R package for the kernel method of test equating called kequate is presented. Included in the package are also diagnostic tools aiding in the search for a proper log-linear model in the pre-smoothing step for use in conjunction with the R function glm.
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References in zbMATH (referenced in 5 articles , 1 standard article )
Showing results 1 to 5 of 5.
- Andersson, Björn; Wiberg, Marie: Item response theory observed-score kernel equating (2017)
- González, Jorge; Wiberg, Marie: Applying test equating methods. Using R (2017)
- Anthony Albano: equate: An R Package for Observed-Score Linking and Equating (2016) not zbMATH
- Jorge González: SNSequate: Standard and Nonstandard Statistical Models and Methods for Test Equating (2014) not zbMATH
- Björn Andersson; Kenny Bränberg; Marie Wiberg: Performing the Kernel Method of Test Equating with the Package kequate (2013) not zbMATH