Used Monte Carlo simulation to compare the relative measurement efficiency of polytomous modeling and dichotomous modeling under different scoring schemes and termination criteria. Results suggest that polytomous computerized adaptive testing (CAT) yields marginal gains over dichotomous CAT when termination criteria are more stringent. Discusses…

Evaluated procedures applying person-fit indices to identify individuals who had previously memorized test items in computerized adaptive-testing situations. All of the indices studied showed little power to detect the use of memorization. Discusses possibilities for altering a test when the model becomes inappropriate for an examinee. (SLD)

Provides an overview of computerized adaptive testing (CAT) and introduces contributions to this special issue. CAT elements discussed include item selection, estimation of the latent trait, item exposure, measurement precision, and item-bank development. (SLD)

The second edition of "Computerized Adaptive Testing" contains new materials related to: (1) chapter 2, system design; (2) chapter 4, item response theory, item calibration, and proficiency estimation; and (3) chapter 10, caveats, pitfalls, and unexpected consequences. The book raises critical computerized adaptive testing research and application…

Computer-based testing by credentialing agencies has become common; however, selecting a test design is difficult because several good ones are available - parallel forms, computer adaptive (CAT), and multistage (MST). In this study, three computer-based test designs under some common examination conditions were investigated. Item bank size and…

Item-exposure control in computerized adaptive testing is implemented by imposing item-ineligibility constraints on the assembly process of the shadow tests. The method resembles Sympson and Hetter's (1985) method of item-exposure control in that the decisions to impose the constraints are probabilistic. The method does not, however, require…

It is unrealistic to suppose that standard item response theory (IRT) models will be appropriate for all the new and currently considered computer-based tests. In addition to developing new models, we also need to give attention to the possibility of constructing and analyzing new tests without the aid of strong models. Computerized adaptive…

Adaptive tests offer the advantages of reduced test length and increased accuracy in ability estimation. However, adaptive tests require large pools of precalibrated items. This study looks at the development of an item pool for 1 type of adaptive administration: the computer-adaptive sequential test. An important issue is the sample size required…

Computerized adaptive tests (CATs) are individualized tests that, from a measurement point of view, are optimal for each individual, possibly under some practical conditions. In the present study, it is shown that maximum information item selection in CATs using an item bank that is calibrated with the one- or the two-parameter logistic model…

This study assessed muscular torque and rate of torque development following concentric (CON) or eccentric (ECC) isokinetic training. Thirty-eight women were randomly assigned to either CON or ECC training groups. Training consisted of knee extension and flexion of the nondominant leg three times per week for 20 weeks (SD = 1). Eccentric training…

The effects of five ability estimators, that is, maximum likelihood estimator, weighted likelihood estimator, maximum a posteriori, expected a posteriori, and Owen's sequential estimator, on the performances of the item response theory-based adaptive classification procedure on multiple categories were studied via simulations. The following…

The purpose of this study was to examine the effect of pretest items on response time in an operational, fixed-length, time-limited computerized adaptive test (CAT). These pretest items are embedded within the CAT, but unlike the operational items, are not tailored to the examinee's ability level. If examinees with higher ability levels need less…

In the process of item calibration for a computerized adaptive test (CAT), many well-established calibrating packages show weakness in the estimation of item parameters. This paper introduces an on-line calibration algorithm based on the convexity of likelihood functions. This package consists of: (1) an algorithm that estimates examinee ability…

Measures of consistency and completeness of order relationships derived from test data such as Guttman scales are proposed. The measures are generalized to apply to incomplete data such as data from tailored testing. (Author/JKS)

TAILOR, a FORTRAN computer program for tailored testing, is described. The procedure for a joint ordering of persons and items with no pretesting as the basis for the tailored test is given, and a brief discussion of the computer program is included. (Author/JKS)