Computerized adaptive tests (CATs) have received wider attention throughout the world in recent years mainly because they provide their users with higher precision in examinee ability estimation with less items by the help of the sound psychometric principals they are based on. The recent attention necessitates the need for platforms on which CATs…

Exploratory and confirmatory factor analyses of domestic data from the" GRE"® revised General Test, introduced in 2011, were conducted separately for the verbal (VBL) and quantitative (QNT) reasoning measures to evaluate the unidimensionality and local independence assumptions required by item response theory (IRT). Results based on data…

This article reviews assessment practices of Japanese as a second language as taught in Japan since the 1980s. It begins with an explanation of the social and political conditions that have impacted assessment practices in Japan and then addresses current assessment practices and issues. This analysis first examines large-scale tests developed in…

This study uses mixed integer quadratic programming (MIQP) to construct multiple highly equivalent item pools simultaneously, and compares the results from mixed integer programming (MIP). Three different MIP/MIQP models were implemented and evaluated using real CAT item pool data with 23 different content areas and a goal of equal information…

The development of statistical methods for detecting test collusion is a new research direction in the area of test security. Test collusion may be described as large-scale sharing of test materials, including answers to test items. Current methods of detecting test collusion are based on statistics also used in answer-copying detection.…

Most computerized adaptive testing (CAT) programs do not allow test takers to review and change their responses because it could seriously deteriorate the efficiency of measurement and make tests vulnerable to manipulative test-taking strategies. Several modified testing methods have been developed that provide restricted review options while…

Application of Bayesian item selection criteria in computerized adaptive testing might result in improvement of bias and MSE of the ability estimates. The question remains how to apply Bayesian item selection criteria in the context of constrained adaptive testing, where large numbers of specifications have to be taken into account in the item…

Both theoretical and practical considerations have led the revision of the Graduate Record Examinations® (GRE®) revised General Test, here called the rGRE, to adopt a multistage adaptive design that will be continuously or nearly continuously administered and that can provide immediate score reporting. These circumstances sharply constrain the…

To articulate a guiding principle at the Graduate Management Admission Council (GMAC), CEO Dave Wilson often quotes Harry Bosch, the protagonist of several Michael Connelly novels, who said, "Everybody matters, or no one matters." With management education now a global field, and with 52 percent of the GMAT (Graduate Management Admission Test)…

The recent literature on computerized adaptive testing (CAT) has developed methods for creating CAT item pools from a large master pool. Each CAT pool is designed as a set of nonoverlapping forms reflecting the skill levels of an assumed population of test takers. This article presents a Monte Carlo method to obtain these CAT pools and discusses…

Problem Statement: Computerized adaptive testing (CAT) is a sophisticated and efficient way of delivering examinations. In CAT, items for each examinee are selected from an item bank based on the examinee's responses to the items. In this way, the difficulty level of the test is adjusted based on the examinee's ability level. Instead of…

When power tests include a time limit, it is important to assess the possibility of "speededness" for examinees. Research on differential speededness in the past has included looking at gender and ethnic subgroups in the United States on paper and pencil tests. The needs of a global audience necessitated, and the availability of computer…

This article presents a new algorithm for computerized adaptive testing (CAT) when content constraints are present. The algorithm is based on shadow CAT methodology to meet content constraints but applies Monte Carlo methods and provides the following advantages over shadow CAT: (a) lower maximum item exposure rates, (b) higher utilization of the…

Two-stage and multistage test designs provide a way of roughly adapting item difficulty to test taker ability. This study incorporated testlets (bundles of items) into two-stage and multistage designs, and compared the precision of the ability estimates derived from these designs with those derived from a standard computerized adaptive test (CAT)…

This study investigated the applicability to computerized adaptive testing (CAT) data of a differential item functioning (DIF) analysis that involves an empirical Bayes (EB) enhancement of the popular Mantel Haenszel (MH) DIF analysis method. The computerized Law School Admission Test (LSAT) assumed for this study was similar to that currently…