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.