Reviews research literature on comparability issues in computerized adaptive testing (CAT) and synthesizes issues specific to comparability and test security. Develops a framework for evaluating comparability that contains three categories of criteria: (1) validity; (2) psychometric property/reliability; and (3) statistical assumption/test…

The Northwest Evaluation Association helped an Indiana school district develop a computerized adaptive testing system that was aligned with its curriculum and geared toward measuring individual student growth. Now the district can obtain such information from semester to semester and year to year, get immediate results, and test students on…

Effects of self-adapted testing (SAT), in which examinees choose the difficulty of items themselves, on ability estimates, precision, and efficiency, mechanisms of SAT effects, and examinee reactions to SAT are reviewed. SAT, which is less efficient than computer-adapted testing, is more efficient than fixed-item testing. (SLD)

This article discusses the main purposes of reading comprehension assessment and identifies the key features of good assessment. The article also identifies pitfalls that clinicians and educators should avoid to conduct valid assessments of reading comprehension, such as the degree to which the measure taps the constructive and integrative…

With advances in computerbased technologies and the emergence of elearning, there are unprecedented opportunities to reconsider assessment of learning (and, axiomatically, of teaching) and how this can be undertaken. One approach is adaptive assessment. Although it has existed in the tertiary environment since the time of the oral examination,…

This document updates "Accommodations: Assisting Students with Disabilities. A Guide for Educators," published by the Florida Department of Education (FDOE) in 2003. This document is written to assist school district personnel and parents when making decisions about the use of accommodations by students with disabilities in instructional…

Recent research studies have reported on how novices and experts differ in storing, organizing, and retrieving subject matter knowledge and on how they apply their knowledge to solve new problems. These findings have been integrated and implemented in a computer environment to help novices improve their problem-solving skills. An outline of this…

A multiple choice test item is identified as flawed if it has no single best answer. In spite of extensive quality control procedures, the administration of flawed items to test-takers is inevitable. Common strategies for dealing with flawed items in conventional testing, grounded in the principle of fairness to test-takers, are reexamined in the…

The interest in the application of large-scale computerized adaptive testing has served to focus attention on issues that arise when theoretical advances are made operational. Some of these issues stem less from changes in testing conditions and more from changes in testing paradigms. One such issue is that of the order in which questions are…

Two-stage and multistage test designs provide a way of roughly adapting item difficulty to test-taker ability. All test takers take a parallel stage-one test, and, based on their scores, they are routed to tests of different difficulty levels in subsequent stages. These designs provide some of the benefits of standard computerized adaptive testing…

In computerized adaptive testing, updating parameter estimates using adaptive testing data is often called online calibration. In this paper, how to evaluate whether the adaptive testing model used for online calibration fits the item response model used sufficiently is studied. Three approaches are investigated, based on a Lagrange multiplier…

R. J. Owen (1975) proposed an approximate empirical Bayes procedure for item selection in adaptive testing. The procedure replaces the true posterior by a normal approximation with closed-form expressions for its first two moments. This approximation was necessary to minimize the computational complexity involved in a fully Bayesian approach, but…

This paper synthesizes ideas from the fields of graphical modeling and education testing, particularly item response theory (IRT) applied to computerized adaptive testing (CAT). Graphical modeling can offer IRT a language for describing multifaceted skills and knowledge, and disentangling evidence from complex performances. IRT-CAT can offer…

The use of computers to build diagnostic inferences is explored in two contexts. In computerized monitoring of liquid oxygen systems for the space shuttle, diagnoses are exact because they can be derived within a world which is closed. In computerized classroom testing of reading comprehension, programs deliver a constrained form of adaptive…

The purpose of this paper is to identify and discuss some of the problems presented by the use of computerized adaptive testing (CAT) in an instructional programs environment versus large scale testing applications, and to describe an actual implementation of CAT in an instructional programs setting. This particular application is in the…