This new book focuses on test equating as a statistical process
that considers the most recent research in continuizing the
discrete test score distributions that go beyond the Gaussian
kernel. New developments within the equating field are planned to
be included. More specifically, the main focus of this volume is to
provide an integrated theory of the kernel equating using several
kernels and IRT methods, to study their theoretical properties, and
to provide sufficient data applications and software code to
facilitate the widespread use of these methods. The generalized
kernel equating framework and its features will be illustrated
using real empirical data with R.
General
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