Open AccessTHE KERNEL METHOD OF EQUATING SCORE DISTRIBUTIONS
Author(s) -
Holland Paul W.,
Thayer Dorothy T.
Publication year - 1989
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2330-8516.1989.tb00333.x
Subject(s) - equating , kernel (algebra) , mathematics , statistics , smoothing , kernel density estimation , kernel smoother , parametric statistics , computer science , kernel method , artificial intelligence , combinatorics , estimator , radial basis function kernel , support vector machine , rasch model
A new and unified approach to test equating is described that is based on log‐linear models for smoothing score distributions and on the kernel method of non‐parametric density estimation. The new method contains both linear and standard equipercentile methods as special cases and can handle several important equating data collection designs. An example is used to illustrate the new method for the random groups and external anchor‐test designs.