Test Equating, Scaling, and Linking
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Test Equating, Scaling, and Linking

Methods and Practices
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Robert L. Brennan
1033 g
244x159x40 mm
Statistics for Social and Behavioral Sciences

Fully revised for a third edition, this highly regarded guide to the methodology of data collection and synthesis of exam scores explains the process of equalizing, scaling, and moderating results, and how best to design, administer, and mark standard tests.
Fully revised after the success of two previous editions
Introduction and Concepts.- Observed Score Equating Using the Random Groups Design.- Random Groups Smoothing in Equipercentile Equating.- Nonequivalent Groups Linear Methods.- Nonequivalent Groups Equipercentile Methods.- Item Response Theory Methods.- Standard Errors of Equating.- Practical Issues in Equating.- Score Scales.- Linking.- Appendices.- Answers to Exercises.- Computer Programs.- Index.
This book provides an introduction to test equating, scaling and linking, including those concepts and practical issues that are critical for developers and all other testing professionals. In addition to statistical procedures, successful equating, scaling and linking involves many aspects of testing, including procedures to develop tests, to administer and score tests and to interpret scores earned on tests. Test equating methods are used with many standardized tests in education and psychology to ensure that scores from multiple test forms can be used interchangeably. Test scaling is the process of developing score scales that are used when scores on standardized tests are reported. In test linking, scores from two or more tests are related to one another. Linking has received much recent attention, due largely to investigations of linking similarly named tests from different test publishers or tests constructed for different purposes. In recent years, researchers from the education, psychology and statistics communities have contributed to the rapidly growing statistical and psychometric methodologies used in test equating, scaling and linking. In addition to the literature covered in previous editions, this new edition presents coverage of significant recent research.
In order to assist researchers, advanced graduate students and testing professionals, examples are used frequently and conceptual issues are stressed. New material includes model determination in log-linear smoothing, in-depth presentation of chained linear and equipercentile equating, equating criteria, test scoring and a new section on scores for mixed-format tests. In the third edition, each chapter contains a reference list, rather than having a single reference list at the end of the volume

The themes of the third edition include:

the purposes of equating, scaling and linking and their practical context

data collection designs

statistical methodology
designing reasonable and useful equating, scaling, and linking studies

importance of test development and quality control processes to equating

equating error, and the underlying statistical assumptions for equating