In recent years, many researchers in the psychology and statistical communities have paid increasing attention to test equating as issues of using multiple test forms have arisen and in response to criticisms of traditional testing techniques. This book provides a practically oriented introduction to test equating which both discusses the most frequently used equating methodologies and covers many of the practical issues involved. The main themes are: - the purpose of equating - distinguishing between equating and related methodologies - the importance of test equating to test development and quality control - the differences between equating properties, equating designs, and equating methods - equating error, and the underlying statistical assumptions for equating. The authors are acknowledged experts in the field, and the book is based on numerous courses and seminars they have presented. As a result, educators, psychometricians, professionals in measurement, statisticians, and students coming to the subject for the first time as part of their graduate study will find this an invaluable text and reference.

Inhalt

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 and Scaling to Achieve Comparability.