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Huo, Yan – ProQuest LLC, 2009
Variable-length computerized adaptive testing (CAT) can provide examinees with tailored test lengths. With the fixed standard error of measurement ("SEM") termination rule, variable-length CAT can achieve predetermined measurement precision by using relatively shorter tests compared to fixed-length CAT. To explore the application of…
Descriptors: Test Length, Test Items, Adaptive Testing, Item Analysis
Finkelman, Matthew – Journal of Educational and Behavioral Statistics, 2008
Sequential mastery testing (SMT) has been researched as an efficient alternative to paper-and-pencil testing for pass/fail examinations. One popular method for determining when to cease examination in SMT is the truncated sequential probability ratio test (TSPRT). This article introduces the application of stochastic curtailment in SMT to shorten…
Descriptors: Mastery Tests, Sequential Approach, Computer Assisted Testing, Adaptive Testing
Pommerich, Mary – Journal of Technology, Learning, and Assessment, 2007
Computer administered tests are becoming increasingly prevalent as computer technology becomes more readily available on a large scale. For testing programs that utilize both computer and paper administrations, mode effects are problematic in that they can result in examinee scores that are artificially inflated or deflated. As such, researchers…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Format, Scores
Peer reviewedKingsbury, G. Gage; Zara, Anthony R. – Applied Measurement in Education, 1989
Several classical approaches and alternative approaches to item selection for computerized adaptive testing (CAT) are reviewed and compared. The study also describes procedures for constrained CAT that may be added to classical item selection approaches to allow them to be used for applied testing. (TJH)
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Test Length
Chen, Shu-Ying; Ankenmann, Robert D.; Spray, Judith A. – 1999
This paper presents a derivation of an average between-test overlap index as a function of the item exposure index, for fixed-length computerized adaptive tests (CAT). This relationship is used to investigate the simultaneous control of item exposure at both the item and test levels. Implications for practice as well as future research are also…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Test Items
Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – Applied Psychological Measurement, 2002
Item exposure control, test-overlap minimization, and the efficient use of item pool are some of the important issues in computerized adaptive testing (CAT) designs. The overexposure of some items and high test-overlap rate may cause both item and test security problems. Previously these problems associated with the maximum information (Max-I)…
Descriptors: Test Length, Adaptive Testing, Item Analysis, Item Banks
Gershon, Richard C.; Bergstrom, Betty – 1991
The relationship of several individual differences variables to Computer Adaptive Testing (CAT) as compared with traditional written tests are explored. Seven hundred sixty-five examinees took a Computer Adaptive Test and two fixed-length written tests. Each examinee also answered a computer literacy inventory, a satisfaction questionnaire, and a…
Descriptors: Adaptive Testing, Adults, Computer Assisted Testing, Computer Literacy
Wingersky, Marilyn S. – 1989
In a variable-length adaptive test with a stopping rule that relied on the asymptotic standard error of measurement of the examinee's estimated true score, M. S. Stocking (1987) discovered that it was sufficient to know the examinee's true score and the number of items administered to predict with some accuracy whether an examinee's true score was…
Descriptors: Adaptive Testing, Bayesian Statistics, Error of Measurement, Estimation (Mathematics)
Samejima, Fumiko; Changas, Paul S. – 1981
The methods and approaches for estimating the operating characteristics of the discrete item responses without assuming any mathematical form have been developed and expanded. It has been made possible that, even if the test information function of a given test is not constant for the interval of ability of interest, it is used as the Old Test.…
Descriptors: Adaptive Testing, Latent Trait Theory, Mathematical Models, Methods
Peer reviewedSpineti, John P.; Hambleton, Ronald K. – Educational and Psychological Measurement, 1977
The effectiveness of various tailored testing strategies for use in objective based instructional programs was investigated. The three factors of a tailored testing strategy under study with various hypothetical distributions of abilities across two learning hierarchies were test length, mastery cutting score, and starting point. (Author/JKS)
Descriptors: Adaptive Testing, Computer Assisted Testing, Criterion Referenced Tests, Cutting Scores
Peer reviewedWang, Tianyou; Hanson, Bradley A.; Lau, Che-Ming A. – Applied Psychological Measurement, 1999
Extended the use of a beta prior in trait estimation to the maximum expected a posteriori (MAP) method of Bayesian estimation. This new method, essentially unbiased MAP, was compared with MAP, essentially unbiased expected a posteriori, weighted likelihood, and maximum-likelihood estimation methods. The new method significantly reduced bias in…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Estimation (Mathematics)
Peer reviewedWainer, 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
Peer reviewedCliff, Norman; And Others – Applied Psychological Measurement, 1979
Monte Carlo research with TAILOR, a program using implied orders as a basis for tailored testing, is reported. TAILOR typically required about half the available items to estimate, for each simulated examinee, the responses on the remainder. (Author/CTM)
Descriptors: Adaptive Testing, Computer Programs, Item Sampling, Nonparametric Statistics
Peer reviewedCudeck, Robert; And Others – Applied Psychological Measurement, 1979
TAILOR, a computer program which implements an approach to tailored testing, was examined by Monte Carlo methods. The evaluation showed the procedure to be highly reliable and capable of reducing the required number of tests items by about one half. (Author/JKS)
Descriptors: Adaptive Testing, Computer Programs, Feasibility Studies, Item Analysis
Chuah, Siang Chee; Drasgow, Fritz; Luecht, Richard – Applied Measurement in Education, 2006
Adaptive tests offer the advantages of reduced test length and increased accuracy in ability estimation. However, adaptive tests require large pools of precalibrated items. This study looks at the development of an item pool for 1 type of adaptive administration: the computer-adaptive sequential test. An important issue is the sample size required…
Descriptors: Test Length, Sample Size, Adaptive Testing, Item Response Theory

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