{"product_id":"generalized-kernel-equating-with-applications-in-r-9781138196988","title":"Generalized Kernel Equating with Applications in R","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003ci\u003eGeneralized Kernel Equating\u003c\/i\u003e is a comprehensive guide for statisticians, psychometricians, and educational researchers aiming to master test score equating. This book introduces the Generalized Kernel Equating (GKE) framework, providing the necessary tools and methodologies for accurate and fair score comparisons.\u003c\/p\u003e\u003cp\u003eThe book presents test score equating as a statistical problem and covers all commonly used data collection designs. It details the five steps of the GKE framework: presmoothing, estimating score probabilities, continuization, equating transformation, and evaluating the equating transformation. Various presmoothing strategies are explored, including log-linear models, item response theory models, beta4 models, and discrete kernel estimators. The estimation of score probabilities when using IRT models is described and Gaussian kernel continuization is extended to other kernels such as uniform, logistic, epanechnikov and adaptive kernels. Several bandwidth select\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":53186833056087,"sku":"9781138196988","price":109.41,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/generalized-kernel-equating-with-applications-in-r-9781138196988","provider":"Book Curl","version":"1.0","type":"link"}