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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
Chun Wang; Ping Chen; Shengyu Jiang – Journal of Educational Measurement, 2020
Many large-scale educational surveys have moved from linear form design to multistage testing (MST) design. One advantage of MST is that it can provide more accurate latent trait [theta] estimates using fewer items than required by linear tests. However, MST generates incomplete response data by design; hence, questions remain as to how to…
Descriptors: Test Construction, Test Items, Adaptive Testing, Maximum Likelihood Statistics
Makransky, Guido; Glas, Cees A. W. – International Journal of Testing, 2013
Cognitive ability tests are widely used in organizations around the world because they have high predictive validity in selection contexts. Although these tests typically measure several subdomains, testing is usually carried out for a single subdomain at a time. This can be ineffective when the subdomains assessed are highly correlated. This…
Descriptors: Foreign Countries, Cognitive Ability, Adaptive Testing, Feedback (Response)
Parshall, Cynthia G.; Davey, Tim; Nering, Mike L. – 1998
When items are selected during a computerized adaptive test (CAT) solely with regard to their measurement properties, it is commonly found that certain items are administered to nearly every examinee, and that a small number of the available items will account for a large proportion of the item administrations. This presents a clear security risk…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Efficiency
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
Potenza, Maria T.; Stocking, Martha L. – 1994
A multiple choice test item is identified as flawed if it has no single best answer. In spite of extensive quality control procedures, the administration of flawed items to test-takers is inevitable. Common strategies for dealing with flawed items in conventional testing, grounded in the principle of fairness to test-takers, are reexamined in the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Multiple Choice Tests, Scoring
Stocking, Martha L. – 1996
The interest in the application of large-scale computerized adaptive testing has served to focus attention on issues that arise when theoretical advances are made operational. Some of these issues stem less from changes in testing conditions and more from changes in testing paradigms. One such issue is that of the order in which questions are…
Descriptors: Adaptive Testing, Cognitive Processes, Comparative Analysis, Computer Assisted Testing
Schnipke, Deborah L.; Reese, Lynda M. – 1997
Two-stage and multistage test designs provide a way of roughly adapting item difficulty to test-taker ability. All test takers take a parallel stage-one test, and, based on their scores, they are routed to tests of different difficulty levels in subsequent stages. These designs provide some of the benefits of standard computerized adaptive testing…
Descriptors: Ability, Adaptive Testing, Algorithms, Comparative Analysis
De Ayala, R. J. – 1990
The effect of dimensionality on an adaptive test's ability estimation was examined. Two-dimensional data sets, which differed from one another in the interdimensional ability association, the correlation among the difficulty parameters, and whether the item discriminations were or were not confounded with item difficulty, were generated for 1,600…
Descriptors: Ability Identification, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
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
Pommerich, Mary; Burden, Timothy – 2000
A small-scale study was conducted to compare test-taking strategies, problem-solving strategies, and general impressions about the test across computer and paper-and-pencil administration modes. Thirty-six examinees (high school students) participated in the study. Each examinee took a test in one of the content areas of English, Mathematics,…
Descriptors: Adaptive Testing, Attitudes, Comparative Analysis, Computer Assisted Testing

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
DeAyala, R. J.; Koch, William R. – 1986
A computerized flexilevel test was implemented and its ability estimates were compared with those of a Bayesian estimation based computerized adaptive test (CAT) as well as with known true ability estimates. Results showed that when the flexilevel test was terminated according to Lord's criterion, its ability estimates were highly and…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Comparative Analysis
Cliff, Norman; And Others – 1978
The research from a four-year project of implied orders tailored testing is summarized. The method of implied orders testing combines the principles of ordinal measurement with the concept of the Guttman scale as an ideal. The basic principle for dichotomous items is that either an item is missed and "dominates" a person or it is answered…
Descriptors: Adaptive Testing, Career Development, Computer Assisted Testing, Group Testing
Xiao, Beiling – 1990
Dichotomous search strategies (DSSs) for computerized adaptive testing are similar to golden section search strategies (GSSSs). Each middle point of successive search regions is a testing point. After each item is administered, the subject's obtained score is compared with the expected score at successive testing points. If the subject's obtained…
Descriptors: Ability Identification, Adaptive Testing, Computer Assisted Testing, Equations (Mathematics)