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Stocking, Martha L.; Lewis, Charles – 1995
The interest in the application of large-scale adaptive testing for secure tests has served to focus attention on issues that arise when theoretical advances are made operational. Many such issues in the application of large-scale adaptive testing for secure tests have more to do with changes in testing conditions than with testing paradigms. One…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing

Stocking, Martha L.; Lewis, Charles – Journal of Educational and Behavioral Statistics, 1998
Ensuring item and pool security in a continuous testing environment is explored through a new method of controlling exposure rate of items conditional on ability level in computerized testing. Properties of this conditional control on exposure rate, when used in conjunction with a particular adaptive testing algorithm, are explored using simulated…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Difficulty Level

McLeod, Lori; Lewis, Charles; Thissen, David – Applied Psychological Measurement, 2003
Explored procedures to detect test takers using item preknowledge in computerized adaptive testing and suggested a Bayesian posterior log odds ratio index for this purpose. Simulation results support the use of the odds ratio index. (SLD)
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Knowledge Level

McLeod, Lori Davis; Lewis, Charles – Applied Psychological Measurement, 1999
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)
Descriptors: Adaptive Testing, Computer Assisted Testing, Identification, Item Response Theory
Yan, Duanli; Lewis, Charles; Stocking, Martha – Journal of Educational and Behavioral Statistics, 2004
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…
Descriptors: Nonparametric Statistics, Regression (Statistics), Adaptive Testing, Computer Assisted Testing
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
Yan, Duanli; Lewis, Charles; Stocking, Martha – 1998
It is unrealistic to suppose that standard item response theory (IRT) models will be appropriate for all new and currently considered computer-based tests. In addition to developing new models, researchers will need to give some attention to the possibility of constructing and analyzing new tests without the aid of strong models. Computerized…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Item Response Theory
McLeod, Lori D.; Lewis, Charles; Thissen, David. – 1999
With the increased use of computerized adaptive testing, which allows for continuous testing, new concerns about test security have evolved, one being the assurance that items in an item pool are safeguarded from theft. In this paper, the risk of score inflation and procedures to detect test takers using item preknowledge are explored. When test…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, College Entrance Examinations