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Download full textStocking, 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
Peer reviewedStocking, 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
Stocking, Martha L.; And Others – 1991
A previously developed method of automatically selecting items for inclusion in a test subject to constraints on item content and statistical properties is applied to real data. Two tests are first assembled by experts in test construction who normally assemble such tests on a routine basis. Using the same pool of items and constraints articulated…
Descriptors: Algorithms, Automation, Coding, Computer Assisted Testing
Stocking, Martha L.; And Others – 1991
This paper presents a new heuristic approach to interactive test assembly that is called the successive item replacement algorithm. This approach builds on the work of W. J. van der Linden (1987) and W. J. van der Linden and E. Boekkooi-Timminga (1989) in which methods of mathematical optimization are combined with item response theory to…
Descriptors: Algorithms, Automation, Computer Selection, Heuristics
Peer reviewedStocking, Martha L.; And Others – Applied Psychological Measurement, 1993
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)
Descriptors: Algorithms, Automation, Comparative Testing, Computer Assisted Testing
Peer reviewedSwanson, Len; Stocking, Martha L. – Applied Psychological Measurement, 1993
A model for solving very large item selection problems is presented. The model builds on binary programming applied to test construction. A heuristic for selecting items that satisfy the constraints in the model is also presented, and various problems are solved using the model and heuristic. (SLD)
Descriptors: Algorithms, Equations (Mathematics), Heuristics, Item Response Theory
Peer reviewedStocking, Martha L.; Swanson, Len – Applied Psychological Measurement, 1993
A method is presented for incorporating a large number of constraints on adaptive item selection in the construction of computerized adaptive tests. The method, which emulates practices of expert test specialists, is illustrated for verbal and quantitative measures. Its foundation is application of a weighted deviations model and algorithm. (SLD)
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Expert Systems
