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Test fairness is a moral imperative for both the makers and the
users of tests. This book focuses on methods for detecting test
items that function differently for different groups of examinees
and on using this information to improve tests. Of interest to all
testing and measurement specialists, it examines modern techniques
used routinely to insure test fairness. Three of these relevant to
the book's contents are: * detailed reviews of test items by
subject matter experts and members of the major subgroups in
society (gender, ethnic, and linguistic) that will be represented
in the examinee population * comparisons of the predictive validity
of the test done separately for each one of the major subgroups of
examinees * extensive statistical analyses of the relative
performance of major subgroups of examinees on individual test
items.
Test fairness is a moral imperative for both the makers and the
users of tests. This book focuses on methods for detecting test
items that function differently for different groups of examinees
and on using this information to improve tests. Of interest to all
testing and measurement specialists, it examines modern techniques
used routinely to insure test fairness. Three of these relevant to
the book's contents are:
* detailed reviews of test items by subject matter experts and
members of the major subgroups in society (gender, ethnic, and
linguistic) that will be represented in the examinee population
* comparisons of the predictive validity of the test done
separately for each one of the major subgroups of examinees
* extensive statistical analyses of the relative performance of
major subgroups of examinees on individual test items.
KE is applied to the four major equating designs and to both Chain
Equating and Post-Stratification Equating for the Non-Equivalent
groups with Anchor Test Design. It will be an important reference
for several groups: (a) Statisticians (b) Practitioners and (c)
Instructors in psychometric and measurement programs. The authors
assume some familiarity with linear and equipercentile test
equating, and with matrix algebra.
In this book, experts in statistics and psychometrics describe
classes of linkages, the history of score linkings, data collection
designs, and methods used to achieve sound score linkages. They
describe and critically discuss applications to a variety of
domains. They define what linking is, to distinguish among the
varieties of linking and to describe different procedure for
linking. Furthermore, they convey the complexity and diversity of
linking by covering different areas of linking and providing
diverse perspectives.
In this book, experts in statistics and psychometrics describe
classes of linkages, the history of score linkings, data collection
designs, and methods used to achieve sound score linkages. They
describe and critically discuss applications to a variety of
domains. They define what linking is, to distinguish among the
varieties of linking and to describe different procedure for
linking. Furthermore, they convey the complexity and diversity of
linking by covering different areas of linking and providing
diverse perspectives.
This book is aimed at (a) practitioners who need to equate tests- including those with these responsibilities in testing companies, state testing agencies and school districts; (b) statisticians and other research workers interested in the theory behind such work and the use of model based statistical methods of data smoothing in applied work; (c) advanced graduate students in psychometric and measurement programs. While there are other books on test equating, and books of the use of kernel smoothing, no one has published any work on the kernel method of test equating. It is something of a unifying idea in equating and brings together several methods into an organized whole rather than treating them as a group of disparate methods.
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