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Gershon, Richard; Bergstrom, Betty – 1995
When examinees are allowed to review responses on an adaptive test, can they "cheat" the adaptive algorithm in order to take an easier test and improve their performance? Theoretically, deliberately answering items incorrectly will lower the examinee ability estimate and easy test items will be administered. If review is then allowed,…
Descriptors: Adaptive Testing, Algorithms, Cheating, Computer Assisted Testing
Stocking, Martha L. – 1988
Recent advances in psychometrics and computer technology encourage the development of model-based methods of individualized testing on a microcomputer, where each examinee receives short tests and where the number of pretest items that can be administered is severely restricted. On-line (i.e., data is collected on operational equipment) methods…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Item Response Theory
Stocking, Martha L.; Lewis, Charles – 1995
In the periodic testing environment associated with conventional paper-and-pencil tests, the frequency with which items are seen by test-takers is tightly controlled in advance of testing by policies that regulate both the reuse of test forms and the frequency with which candidates may take the test. In the continuous testing environment…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Test Construction
Rudner, Lawrence – 1998
This digest discusses the advantages and disadvantages of using item banks, and it provides useful information for those who are considering implementing an item banking project in their school districts. The primary advantage of item banking is in test development. Using an item response theory method, such as the Rasch model, items from multiple…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Item Banks
Davey, Tim; Parshall, Cynthia G. – 1995
Although computerized adaptive tests acquire their efficiency by successively selecting items that provide optimal measurement at each examinee's estimated level of ability, operational testing programs will typically consider additional factors in item selection. In practice, items are generally selected with regard to at least three, often…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
Yi, Qing; Nering, Michael L. – 1998
This study developed a model to simulate nonmodel-fitting responses in a computerized adaptive testing (CAT) environment, and to examine the effectiveness of the model. The underlying idea was to simulate examinees' test behaviors realistically. This study simulated a situation in which examinees are exposed to or are coached on test items before…
Descriptors: Adaptive Testing, Computer Assisted Testing, Goodness of Fit, Item Response Theory
Thorndike, Robert L. – 1983
In educational testing, one is concerned to get as much information as possible about a given examinee from each minute of testing time. Maximum information is obtained when the difficulty of each test exercise matches the estimated ability level of the examinee. The goal of adaptive testing is to accomplish this. Adaptive patterns are reviewed…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Latent Trait Theory
Wetzel, C. Douglas; McBride, James R. – 1983
Computer simulation was used to assess the effects of item parameter estimation errors on different item selection strategies used in adaptive and conventional testing. To determine whether these effects reduced the advantages of certain optimal item selection strategies, simulations were repeated in the presence and absence of item parameter…
Descriptors: Adaptive Testing, Computer Assisted Testing, Latent Trait Theory, Occupational Tests
Naccarato, Richard W. – 1988
The current status of banks of test items existing across the United States was determined through a survey conducted between September and December 1987. Item "bank" in this context does not imply that the test items are available in computerized form, but simply that "deposited" test items can be withdrawn for use. Emphasis…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, National Surveys
Croll, Paul R. – 1982
A functional design model for a computerized adaptive testing (CAT) system was developed and presented through a series of hierarchy plus input-process-output (HIPO) diagrams. System functions were translated into system structure: specifically, into 34 software components. Implementation of the design in a physical system was addressed through…
Descriptors: Adaptive Testing, Adults, Computer Assisted Testing, Computer Programs
Peer reviewedCudeck, Robert – Multivariate Behavioral Research, 1985
Twelve structural models of similarity were fitted to data from conventional and computer adaptive test (CAT) batteries measuring the same aptitude in a double cross-validation design. Three of the 12 models, including a multiplicative structure model, performed well, providing support for using CATs as replacements for conventional tests. (NSF)
Descriptors: Adaptive Testing, Aptitude Tests, Comparative Testing, Computer Assisted Testing
Luecht, Richard M. – 2003
This paper presents a multistage adaptive testing test development paradigm that promises to handle content balancing and other test development needs, psychometric reliability concerns, and item exposure. The bundled multistage adaptive testing (BMAT) framework is a modification of the computer-adaptive sequential testing framework introduced by…
Descriptors: Adaptive Testing, Computer Assisted Testing, High Stakes Tests, Mastery Tests
Chang, Shu-Ren; Plake, Barbara S.; Ferdous, Abdullah A. – Online Submission, 2005
This study examined the time different ability level examinees spend taking a CAT on demanding items to these examinees. It was also found that high able examinees spend more time on the pretest items, which are not tailored to the examinees' ability level, than do lower ability examinees. Higher able examinees showed persistence with test…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Reaction Time
Patsula, Liane N.; Steffen, Mandred – 1997
One challenge associated with computerized adaptive testing (CAT) is the maintenance of test and item security while allowing for daily testing. An alternative to continually creating new pools containing an independent set of items would be to consider each CAT pool as a sample of items from a larger collection (referred to as a VAT) rather than…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Multiple Choice Tests
Patsula, Liane N.; Pashley, Peter J. – 1997
Many large-scale testing programs routinely pretest new items alongside operational (or scored) items to determine their empirical characteristics. If these pretest items pass certain statistical criteria, they are placed into an operational item pool; otherwise they are edited and re-pretested or simply discarded. In these situations, reliable…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Item Banks


