ABSTRACT

This celebrated primer presents an introduction to all of the key ingredients in understanding computerized adaptive testing technology, test development, statistics, and mental test theory. Based on years of research, this accessible book educates the novice and serves as a compendium of state-of-the-art information for professionals interested in computerized testing in the areas of education, psychology, and other related social sciences. A hypothetical test taken as a prelude to employment is used as a common example throughout to highlight this book's most important features and problems.

Changes in the new edition include:
*a completely rewritten chapter 2 on the system considerations needed for modern computerized adaptive testing;
*a revised chapter 4 to include the latest in methodology surrounding online calibration and in the modeling of testlets; and
*a new chapter 10 with helpful information on how test items are really selected, usage patterns, how usage patterns influence the number of new items required, and tools for managing item pools.

chapter 1|21 pages

Introduction and History

chapter 2|13 pages

System Design and Operation

chapter 3|23 pages

Item Pools

chapter 5|33 pages

Testing Algorithms

chapter 6|24 pages

Scaling and Equating

chapter 8|45 pages

Validity