Publication Date
| In 2025 | 0 |
| Since 2024 | 31 |
| Since 2021 (last 5 years) | 111 |
| Since 2016 (last 10 years) | 245 |
| Since 2006 (last 20 years) | 566 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 38 |
| Practitioners | 25 |
| Teachers | 8 |
| Administrators | 6 |
| Counselors | 3 |
| Parents | 1 |
| Policymakers | 1 |
| Students | 1 |
Location
| Taiwan | 12 |
| United Kingdom | 10 |
| Netherlands | 9 |
| California | 8 |
| Turkey | 8 |
| Australia | 7 |
| Germany | 7 |
| New York | 7 |
| Canada | 6 |
| Florida | 6 |
| Japan | 6 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Nandakumar, Ratna; Roussos, Louis – Journal of Educational and Behavioral Statistics, 2004
A new procedure, CATSIB, for assessing differential item functioning (DIF) on computerized adaptive tests (CATs) is proposed. CATSIB, a modified SIBTEST procedure, matches test takers on estimated ability and controls for impact-induced Type 1 error inflation by employing a CAT version of the IBTEST "regression correction." The…
Descriptors: Evaluation, Adaptive Testing, Computer Assisted Testing, Pretesting
van der Linden, Wim J. – Journal of Educational and Behavioral Statistics, 2003
The Hetter and Sympson (1997; 1985) method is a method of probabilistic item-exposure control in computerized adaptive testing. Setting its control parameters to admissible values requires an iterative process of computer simulations that has been found to be time consuming, particularly if the parameters have to be set conditional on a realistic…
Descriptors: Law Schools, Adaptive Testing, Admission (School), Computer Assisted Testing
Zhang, Yanwei; Nandakumar, Ratna – Online Submission, 2006
Computer Adaptive Sequential Testing (CAST) is a test delivery model that combines features of the traditional conventional paper-and-pencil testing and item-based computerized adaptive testing (CAT). The basic structure of CAST is a panel composed of multiple testlets adaptively administered to examinees at different stages. Current applications…
Descriptors: Item Banks, Item Response Theory, Adaptive Testing, Computer Assisted Testing
Williams, David, Ed.; Hricko, Mary, Ed.; Howell, Scott, Ed. – Information Science Publishing, 2006
"Online Assessment, Measurement and Evaluation: Emerging Practices" provides a view of the possibilities and challenges facing online educators and evaluators in the 21st Century. As technology evolves and online measurement and assessment follow, "Online Assessment, Measurement and Evaluation: Emerging Practices" uses…
Descriptors: Electronic Learning, Management Systems, Evaluators, Teacher Education Programs
van der Linden, Wim J.; Ariel, Adelaide; Veldkamp, Bernard P. – Journal of Educational and Behavioral Statistics, 2006
Test-item writing efforts typically results in item pools with an undesirable correlational structure between the content attributes of the items and their statistical information. If such pools are used in computerized adaptive testing (CAT), the algorithm may be forced to select items with less than optimal information, that violate the content…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Item Banks
A Feedback Control Strategy for Enhancing Item Selection Efficiency in Computerized Adaptive Testing
Weissman, Alexander – Applied Psychological Measurement, 2006
A computerized adaptive test (CAT) may be modeled as a closed-loop system, where item selection is influenced by trait level ([theta]) estimation and vice versa. When discrepancies exist between an examinee's estimated and true [theta] levels, nonoptimal item selection is a likely result. Nevertheless, examinee response behavior consistent with…
Descriptors: Item Response Theory, Feedback, Adaptive Testing, Computer Assisted Testing
Lei, Pui-Wa; Chen, Shu-Ying; Yu, Lan – Journal of Educational Measurement, 2006
Mantel-Haenszel and SIBTEST, which have known difficulty in detecting non-unidirectional differential item functioning (DIF), have been adapted with some success for computerized adaptive testing (CAT). This study adapts logistic regression (LR) and the item-response-theory-likelihood-ratio test (IRT-LRT), capable of detecting both unidirectional…
Descriptors: Evaluation Methods, Test Bias, Computer Assisted Testing, Multiple Regression Analysis
Glas, Cees A. W.; Vos, Hans J. – 1998
A version of sequential mastery testing is studied in which response behavior is modeled by an item response theory (IRT) model. First, a general theoretical framework is sketched that is based on a combination of Bayesian sequential decision theory and item response theory. A discussion follows on how IRT based sequential mastery testing can be…
Descriptors: Adaptive Testing, Bayesian Statistics, Item Response Theory, Mastery Tests
Ackerman, Terry A.; Davey, Tim C. – 1991
An adaptive test can usually match or exceed the measurement precision of conventional tests several times its length. This increased efficiency is not without costs, however, as the models underlying adaptive testing make strong assumptions about examinees and items. Most troublesome is the assumption that item pools are unidimensional. Truly…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Equations (Mathematics)
de Gruijter, Dato N. M. – 1988
Many applications of educational testing have a missing data aspect (MDA). This MDA is perhaps most pronounced in item banking, where each examinee responds to a different subtest of items from a large item pool and where both person and item parameter estimates are needed. The Rasch model is emphasized, and its non-parametric counterpart (the…
Descriptors: Adaptive Testing, Educational Testing, Estimation (Mathematics), Foreign Countries
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
Patience, Wayne M.; Reckase, Mark D. – 1978
The feasibility of implementing self-paced computerized tailored testing evaluation methods in an undergraduate measurement and evaluation course, and possible differences in achievement levels under a paced versus self-paced testing schedule were investigated. A maximum likelihood tailored testing procedure based on the simple logistic model had…
Descriptors: Academic Achievement, Achievement Tests, Adaptive Testing, Computer Assisted Testing
Peer reviewedMcBride, James R. – Educational Leadership, 1985
Describes a system in which questions tailored to the examinee's capabilities are administered by computer. Enumerates possible benefits of the system, reviews the "state of the art," and predicts potential applications of computerized adaptive testing. (MCG)
Descriptors: Adaptive Testing, Computer Assisted Testing, Elementary Secondary Education, Program Design
Hambleton, Ronald K.; Sireci, Stephen G.; Swaminathan, H.; Xing, Dehui; Rizavi, Saba – 2003
The purposes of this research study were to develop and field test anchor-based judgmental methods for enabling test specialists to estimate item difficulty statistics. The study consisted of three related field tests. In each, researchers worked with six Law School Admission Test (LSAT) test specialists and one or more of the LSAT subtests. The…
Descriptors: Adaptive Testing, College Entrance Examinations, Computer Assisted Testing, Difficulty Level
Rabinowitz, Stanley; Brandt, Tamara – 2001
Computer-based assessment appears to offer the promise of radically improving both how assessments are implemented and the quality of the information they can deliver. However, as many states consider whether to embrace this new technology, serious concerns remain about the fairness of the new systems and the readiness of states (and districts and…
Descriptors: Adaptive Testing, Computer Assisted Testing, Educational Technology, Educational Testing

Direct link
