The current study proposes novel methods to predict multistage testing (MST) performance without conducting simulations. This method, called MST test information, is based on analytic derivation of standard errors of ability estimates across theta levels. We compared standard errors derived analytically to the simulation results to demonstrate the…

Purpose: The purpose of this study was to develop a computerized adaptive test (CAT) version of the Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996), to reduce test length while maximizing measurement precision. This article is a direct extension of a companion article (Fergadiotis, Kellough, & Hula, 2015),…

An IRT-based sequential procedure is developed to monitor items for enhancing test security. The procedure uses a series of statistical hypothesis tests to examine whether the statistical characteristics of each item under inspection have changed significantly during CAT administration. This procedure is compared with a previously developed…

This study compares the progressive-restricted standard error (PR-SE) exposure control procedure to three commonly used procedures in computerized adaptive testing, the randomesque, Sympson-Hetter (SH), and no exposure control methods. The performance of these four procedures is evaluated using the three-parameter logistic model under the…

The goal of the current study was to introduce a new stopping rule for computerized adaptive testing (CAT). The predicted standard error reduction (PSER) stopping rule uses the predictive posterior variance to determine the reduction in standard error that would result from the administration of additional items. The performance of the PSER was…

Multidimensional adaptive testing (MAT) procedures are proposed for the measurement of several latent traits by a single examination. Bayesian latent trait estimation and adaptive item selection are derived. Simulations were conducted to compare the measurement efficiency of MAT with those of unidimensional adaptive testing and random…

The rapid growth of the Internet and intranets supports the infrastructure necessary for computer-based testing (CBT). The parallel growth of sophisticated computer programming and powerful computers offers new possibilities in testing, such as Computerized Adaptive Testing (CAT), where the responses of the subject dictate the nature of the test…

Computerized adaptive testing (CAT) is described and compared with conventional tests, and its advantages summarized. Some item response theory concepts used in CAT are summarized and illustrated. The author describes the potential usefulness of CAT in counseling and education and reviews some current issues in the implementation of CAT.

When an examination consists, in whole or in part, of constructed response items, it is a common practice to allow the examinee to choose among a variety of questions. This procedure is usually adopted so that the limited number of items that can be completed in the allotted time does not unfairly affect the examinee. This results in the de facto…

This report summarizes the results from two studies. The first assessed the comparability of scores derived from linear computer-based (CBT) and computer adaptive (CAT) versions of the three Graduate Record Examinations (GRE) General Test measures. A verbal CAT was taken by 1,507, a quantitative CAT by 1,354, and an analytical CAT by 995…

This paper explores the comparability of item calibrations for three types of items: (1) text only; (2) text with photographs; and (3) text plus graphics when items are presented on written tests and computerized adaptive tests. Data are from five different medical technology certification examinations administered nationwide in 1993. The Rasch…