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Lee, Chansoon; Qian, Hong – Educational and Psychological Measurement, 2022
Using classical test theory and item response theory, this study applied sequential procedures to a real operational item pool in a variable-length computerized adaptive testing (CAT) to detect items whose security may be compromised. Moreover, this study proposed a hybrid threshold approach to improve the detection power of the sequential…
Descriptors: Computer Assisted Testing, Adaptive Testing, Licensing Examinations (Professions), Item Response Theory
ERIC Clearinghouse on Tests, Measurement, and Evaluation, Princeton, NJ. – 1983
This brief overview notes that an adaptive test differs from standardized achievement tests in that it does not consist of a certain set of items that are administered to a group of examinees. Instead, the test is individualized for each examinee. The items administered to the examinee are selected from a large pool of items on the basis of the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Latent Trait Theory
Boekkooi-Timminga, Ellen – 1989
The construction of parallel tests from item response theory (IRT) based item banks is discussed. Tests are considered parallel whenever their information functions are identical. After the methods for constructing parallel tests are considered, the computational complexity of 0-1 linear programming and the heuristic procedure applied are…
Descriptors: Heuristics, Item Banks, Latent Trait Theory, Mathematical Models
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Wainer, Howard; Kiely, Gerard L. – Journal of Educational Measurement, 1987
The testlet, a bundle of test items, alleviates some problems associated with computerized adaptive testing: context effects, lack of robustness, and item difficulty ordering. While testlets may be linear or hierarchical, the most useful ones are four-level hierarchical units, containing 15 items and partitioning examinees into 16 classes. (GDC)
Descriptors: Adaptive Testing, Computer Assisted Testing, Context Effect, Item Banks
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Klein, Lawrence W.; Jarjoura, David – Journal of Educational Measurement, 1985
The test equating accuracy of content-representative anchors (subsets of items in common) versus nonrepresentative, but substantially longer, anchors was compared for a professional certification examination. Through a chain of equatings, it was found that content representation in anchors was critical. (Author/GDC)
Descriptors: Adults, Equated Scores, Higher Education, Item Banks
Stocking, Martha L. – 1994
As adaptive testing moves toward operational implementation in large scale testing programs, where it is important that adaptive tests be as parallel as possible to existing linear tests, a number of practical issues arise. This paper concerns three such issues. First, optimum item pool size is difficult to determine in advance of pool…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Standards
van der Linden, Wim J.; Boekkooi-Timminga, Ellen – 1987
A "maximin" model for item response theory based test design is proposed. In this model only the relative shape of the target test information function is specified. It serves as a constraint subject to which a linear programming algorithm maximizes the information in the test. In the practice of test construction there may be several…
Descriptors: Algorithms, Foreign Countries, Item Banks, Latent Trait Theory
Hambleton, Ronald K.; Jones, Russell W. – 1993
Errors in item parameter estimates have a negative impact on the accuracy of item and test information functions. The estimation errors may be random, but because items with higher levels of discriminating power are more likely to be selected for a test, and these items are most apt to contain positive errors, the result is that item information…
Descriptors: Computer Simulation, Error of Measurement, Estimation (Mathematics), Item Banks
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Stocking, Martha L.; Lord, Frederic M. – 1982
A common problem arises in scale transformation when independent estimates of item parameters from two separate data sets must be expressed in the same metric. These item parameter estimates will be different because the metric or scale defined by each independent calibration of the items is different. The problem is frequently confronted in…
Descriptors: Data Analysis, Equated Scores, Item Analysis, Item Banks
Lutkus, Anthony D.; Laskaris, George – 1981
Analyses of student responses to Introductory Psychology test questions were discussed. The publisher supplied a two thousand item test bank on computer tape. Instructors selected questions for fifteen item tests. The test questions were labeled by the publisher as factual or conceptual. The semester course used a mastery learning format in which…
Descriptors: Difficulty Level, Higher Education, Item Analysis, Item Banks
Davey, Tim; Pommerich, Mary; Thompson, Tony D. – 1999
In computerized adaptive testing (CAT), new or experimental items are frequently administered alongside operational tests to gather the pretest data needed to replenish and replace item pools. The two basic strategies used to combine pretest and operational items are embedding and appending. Variable-length CATs are preferred because of the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Measurement Techniques
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Mills, Craig N.; Stocking, Martha L. – 1995
Computerized adaptive testing (CAT), while well-grounded in psychometric theory, has had few large-scale applications for high-stakes, secure tests in the past. This is now changing as the cost of computing has declined rapidly. As is always true where theory is translated into practice, many practical issues arise. This paper discusses a number…
Descriptors: Adaptive Testing, Computer Assisted Testing, High Stakes Tests, Item Banks
Drasgow, Fritz; Parsons, Charles K. – 1982
The effects of a multidimensional latent trait space on estimation of item and person parameters by the computer program LOGIST are examined. Several item pools were simulated that ranged from truly unidimensional to an inconsequential general latent trait. Item pools with intermediate levels of prepotency of the general latent trait were also…
Descriptors: Computer Simulation, Computer Software, Difficulty Level, Item Analysis
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Mills, Craig N.; Stocking, Martha L. – Applied Measurement in Education, 1996
Issues that must be addressed in the large-scale application of computerized adaptive testing are explored, including considerations of test design, scoring, test administration, item and item bank development, and other aspects of test construction. Possible solutions and areas in which additional work is needed are identified. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Elementary Secondary Education, Higher Education
Rudner, Lawrence M. – 1978
Tailored testing provides the same information as group-administered standardized tests, but can do so using fewer items because the items administered are selected for the ability of the individual student. Thus, tailored testing offers several advantages over traditional methods. Because individual tailored tests are not timed, anxiety is…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
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