A method based on 0-1 linear programming (LP) is presented to stratify an item pool optimally for use in "alpha"-stratified adaptive testing. Because the 0-1 LP model belongs to the subclass of models with a network-flow structure, efficient solutions are possible. The method is applied to a previous item pool from the computerized…

Describes tailored testing (in which a computer selects appropriate items from an item bank while an examinee is taking a test) and shows it to be superior to paper-and-pencil tests in such areas as reliability, security, and appropriateness of items. (IRT)

Developed a multilevel item response (IRT) model that allows for differences between the distributions of item parameters of families of item clones. Results from simulation studies based on an item pool from the Law School Admission Test illustrate the accuracy of the item pool calibration and adaptive testing procedures based on the model. (SLD)

Two item selection algorithms, one based on maximal differentiation between examinees and one based on item response theory and maximum information for each examinee, were compared in simulated linear and adaptive tests of cognitive ability. Adaptive tests based on maximum information were clearly superior. (SLD)

The authors propose using cluster analysis to develop a branching logic that would allow the adaptive administration of psychological instruments. The proposed methodology is described in detail and used to develop an adaptive version of the Halstead Category Test from archival data. (SLD)

This paper suggests several item selection criteria for adaptive testing that are all based on the use of the true posterior. Some of the ability estimators produced by these criteria are discussed and empirically criticized. (SLD)

The degree to which scale distortion in the ordinary difference score can be removed by using differences based on estimated examinee proficiency (theta) in either conventional or adaptive testing situations was studied using Item Response Theory. Using estimated thetas removed much scale distortion for both conventional and adaptive tests. (SLD)

Studied the cross-mode equivalence of paper-and-pencil and computer-based clerical tests with 141 undergraduates. Found no differences across modes for the two types of tests. Differences can be minimized when speeded computerized tests follow the same administration and response procedures as the paper format. (SLD)

Compared results from computer-adaptive and self-adaptive tests under conditions in which item review was and was not permitted for 379 college students. Results suggest that, when given the opportunity, most examinees will change answers, but usually only to a small portion of items, resulting in some benefit to the test taker. (SLD)

A simulation study was conducted to investigate the application of expected a posteriori (EAP) trait estimation in computerized adaptive tests (CAT) based on the partial credit model and compare it with maximum likelihood estimation (MLE). Results show the conditions under which EAP and MLE provide relatively accurate estimation in CAT. (SLD)

Conducted a simulation study of differential item functioning (DIF) to compare the power and Type I error rates for two conditions: using an examinee's ability estimate as the conditioning variable with the CATSIB program and either using the regression correction from CATSIB or not. Discusses implications of findings for DIF detection. (SLD)

A new procedure, CATSIB, for assessing differential item functioning (DIF) on computerized adaptive tests (CATs) is proposed. CATSIB, a modified SIBTEST procedure, matches test takers on estimated ability and controls for impact-induced Type 1 error inflation by employing a CAT version of the IBTEST "regression correction." The…

The Hetter and Sympson (1997; 1985) method is a method of probabilistic item-exposure control in computerized adaptive testing. Setting its control parameters to admissible values requires an iterative process of computer simulations that has been found to be time consuming, particularly if the parameters have to be set conditional on a realistic…

E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…

In recent years, e-learning system has become more and more popular and many adaptive learning environments have been proposed to offer learners customized courses in accordance with their aptitudes and learning results. For achieving the adaptive learning, a predefined concept map of a course is often used to provide adaptive learning guidance…