This study explored a computerized adaptive test delivery algorithm for latent class identification based on the mixture Rasch model. Four item selection methods based on the Kullback-Leibler (KL) information were proposed and compared with the reversed and the adaptive KL information under simulated testing conditions. When item separation was…

This study investigates measurement decision theory (MDT) as an underlying model for computer adaptive testing when the goal is to classify examinees into one of a finite number of groups. The first analysis compares MDT with a popular item response theory model and finds little difference in terms of the percentage of correct classifications. The…

Most computerized adaptive tests (CAT) have been studied under the framework of unidimensional item response theory. However, many psychological variables are multidimensional and might benefit from using a multidimensional approach to CAT. In addition, a number of psychological variables (e.g., quality of life, depression) can be conceptualized…

On a general level, the objective of diagnostic classifications models (DCMs) lies in a classification of individuals regarding multiple latent skills. In this article, the authors show that this objective can be achieved by multidimensional adaptive testing (MAT) as well. The authors discuss whether or not the restricted applicability of DCMs can…

An extension of the multidimensional Rasch model for learning and change is presented that permits theories of processes and knowledge structures to be incorporated into the item response model. The extension resolves basic problems in measuring change and permits adaptive testing. The method is illustrated in a study of mathematical problem…

A tailored testing model employing the beta distribution, whose mean equals the difficulty of an item and whose variance is approximately equal to the sampling variance of the item difficulty, and employing conditional item difficulties, is proposed. (Author)

This report describes the stratified adaptive (stradaptive) test as a strategy for tailoring an ability test to individual differences in testee ability; administration of the test is controlled by a time-shared computer system. The rationale of this method is described as it derives from Binet's strategy of ability test administration and…

The utility of item response theory (IRT) models in computerized adaptive tests is considered. Measurement questions that have been answered using IRT, and those that might be overlooked because of IRT, are reviewed. Areas in which fuller use of IRT could improve adaptive testing practices are identified. (SLD)

An application of the two-paramenter logistic (Rasch) model to tailored testing is presented. The model is discussed along with the maximum likelihood estimation of the ability parameters given the response pattern and easiness parameter estimates for the items. The technique has been programmed for use with an interactive computer terminal. Use…

Educational measurement is undergoing a revolution due to the rapid dissemination of information-processing technology. The recent growth in computing resources and their widespread dissemination in daily life have brought about irreversible changes in educational measurement. Recent developments in computerized measurement are summarized by…

The applicability of item characteristic curve (ICC) theory to a multiple choice test item pool used to measure achievement is described. The rationale for attempting to use ICC theory in an achievement framework is summarized, and the adequacy for adaptive testing of a classroom achievement test item pool in a college biology class is studied.…

The purpose of this study was to use realistically simulated data to evaluate various CAT designs for use with the verbal reasoning measure of the Medical College Admissions Test (MCAT). Factors such as item pool depth, content constraints, and item formats often cause repeated adaptive administrations of an item at ability levels that are not…

To what degree testing can become adaptive is considered in three ways: from a formal methodological perspective; from a human process, stability, perspective; and from a sub-system or component view within an adaptive instructional system (AIS). With the advent of large computer-based training systems, the opportunity to broadly implement…

The principal objectives of this conference were to exchange information, discuss theoretical and empirical developments, and to coordinate research efforts. The papers and their authors are: "The Graded Response Model of Latent Trait Theory and Tailored Testing" by Fumiko Samejima; (Incomplete Orders and Computerized Testing" by…