A method of automatically selecting items for inclusion in a test with constraints on item content and statistical properties was applied to real data. Tests constructed manually from the same data and constraints were compared to tests constructed automatically. Results show areas in which automated assembly can improve test construction. (SLD)

A new computerized mastery test is described that builds on the Lewis and Sheehan procedure (sequential testlets) (1990), but uses fuzzy set decision theory to determine stopping rules and the Rasch model to calibrate items and estimate abilities. Differences between fuzzy set and Bayesian methods are illustrated through an example. (SLD)

Explains computerized adaptive testing (CAT) and its basis in item response theory. Describes a CAT program in pharmacology. (SK)

Provides information and strategies for helping language teachers know how to prepare students for the new computerized version of the Test of English as a Foreign Language. Information focuses on changes in scoring and test format. (Author/VWL)

Explores the potential of a neural network in language assessment. Nonnative speakers of French were asked to produce a short text in response to a picture stimulus. A neural network was trained to grade the text on the basis of codings. Results suggest that it may be possible to teach a neural network to mimic the judgments made by human markers.…

Evaluated the effectiveness of vocabulary computerized adaptive tests (CATs) with restricted review in a live testing setting involving 242 college students in which special efforts were made to increase test efficiency and reduce the possibility of obtaining positively biased proficiency estimates. Results suggest the efficacy of allowing limited…

Compared results from computerized vocabulary tests under conditions in which item review was permitted or not permitted. Results from 177 college students reveal that performance gains after review were greater for examinees of high ability, and that review was desired more by examinees with higher test anxiety. The major drawback to review was…

Discriminant analysis was used to identify variables predictive of success in the computerized National Council Licensure Examination for Registered Nurses with data from 289 nursing graduates. Using seven significant predictors, 94% of passes and 92% of failures were correctly identified. (Contains 23 references.) (SK)

The hypothesis that previously found effects of self-adapted testing (SAT) are attributable to examinees' having an increased perception of control over a stressful testing situation was studied with 377 college students who took computerized adaptive tests or SAT. The strongest preference for SAT was seen in individuals with the highest…

Describes multiple intelligences, personality types, and learning styles. Identifies online instruments for identifying them. Gives strategies for teaching each type. (Contains 26 references.) (SK)

Develops a conceptual framework that addresses score comparability for performance assessments, adaptive tests, paper-and-pencil tests, and alternate item pools for computerized tests. Outlines testing situation aspects that might threaten score comparability and describes procedures for evaluating the degree of score comparability. Suggests ways…

The Northwest Evaluation Association, serving over 300 U.S. school districts, is developing an Internet-enabled assessment system that adapts questions to each student's performance. Shorter, adaptive tests help students avoid frustrations or boredom caused by too-difficult or -easy questions. Scores are as valid as traditional test scores. (MLH)

Derives three reliability estimates for the Bayes modal estimate (BME) and the maximum-likelihood estimate (MLE) of theta in computerized adaptive tests (CATs). Computes the three reliability estimates and the true reliabilities of both BME and MLE for seven simulated CATs. Results show the true reliabilities for BME and MLE to be nearly identical…

Demonstrates that both meanings of an ambiguity are accessed at the onset of the ambiguity when the context is biased towards the secondary meaning. This evidence does not support the context-dependent model, which says that contextual bias should aid the processor in selecting a meaning. (Author/VWL)

Embarking on a high-stakes online testing program is a major enterprise that requires planning, teamwork, communication, flexibility and good problem-solving skills. It is important to be aware of the issues that one may confront and what hurdles might have to be overcome to be successful in the job. The Virginia Department of Education…