Store besparelser
Hurtig levering
Fri fragt over 499,-
Gemte
Log ind
0
Kurv
Kurv

Generalized Kernel Equating with Applications in R

Engelsk Hardback
Se mere i:

Generalized Kernel Equating with Applications in R

Engelsk Hardback

887 kr
Tilføj til kurv
Sikker betaling
23 - 25 hverdage

Om denne bog

Generalized Kernel Equating 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.

The 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 selection methods are described. The kernel equating transformation and variants of it are defined, and both equating-specific and statistical measures for evaluating equating transformations are included. Real data examples, guiding readers through the GKE steps with detailed R code and explanations are provided. Readers are equipped with an advanced knowledge and practical skills for implementing test score equating methods.

Product detaljer
Sprog:
Engelsk
Sider:
272
ISBN-13:
9781138196988
Indbinding:
Hardback
Udgave:
ISBN-10:
1138196983
Udg. Dato:
1 nov 2024
Længde:
0mm
Bredde:
156mm
Højde:
234mm
Forlag:
Taylor & Francis Ltd
Oplagsdato:
1 nov 2024
Finder produkter...
Kategori sammenhænge