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Mao, Xiuzhen; Ozdemir, Burhanettin; Wang, Yating; Xiu, Tao – Online Submission, 2016
Four item selection indexes with and without exposure control are evaluated and compared in multidimensional computerized adaptive testing (CAT). The four item selection indices are D-optimality, Posterior expectation Kullback-Leibler information (KLP), the minimized error variance of the linear combination score with equal weight (V1), and the…
Descriptors: Comparative Analysis, Adaptive Testing, Computer Assisted Testing, Test Items
Wang, Shudong; Jiao, Hong – Online Submission, 2011
For decades, researchers and practitioners have made a great deal of effort to study a variety of methods to increase parameter accuracy, but only recently can researchers start focusing on improving parameter estimations by using a joint model that could incorporate RT and students information as CI. Given that many tests are currently…
Descriptors: Reaction Time, Item Response Theory, Computer Assisted Testing, Computation
Wang, Shudong; Jiao, Hong; He, Wei – Online Submission, 2011
The ability estimation procedure is one of the most important components in a computerized adaptive testing (CAT) system. Currently, all CATs that provide K-12 student scores are based on the item response theory (IRT) model(s); while such application directly violates the assumption of independent sample of a person in IRT models because ability…
Descriptors: Accuracy, Computation, Computer Assisted Testing, Adaptive Testing
Verbic, Srdjan; Tomic, Boris; Kartal, Vesna – Online Submission, 2010
On-line trial testing for fourth-grade students was an exploratory study realized as a part of the project "Developing annual test of students' achievement in Nature & Society" realized by Institute for Education Quality and Evaluation. Main ideas of the study were to explore possibilities for on-line testing at national level in…
Descriptors: Foreign Countries, Item Response Theory, High School Students, Computer Assisted Testing
Royal, Kenneth D. – Online Submission, 2009
Quality measurement is essential in every form of research, including institutional research and assessment. Unfortunately, most survey research today (both published and unpublished) is lacking with regards to quality measurement. Reporting means and standard deviations based on ordinal measures is an inappropriate, yet widespread practice in the…
Descriptors: Higher Education, Institutional Research, Measurement Techniques, Item Response Theory
Tian, Jian-quan; Miao, Dan-min; Zhu, Xia; Gong, Jing-jing – Online Submission, 2007
Computerized adaptive testing (CAT) has unsurpassable advantages over traditional testing. It has become the mainstream in large scale examinations in modern society. This paper gives a brief introduction to CAT including differences between traditional testing and CAT, the principles of CAT, psychometric theory and computer algorithms of CAT, the…
Descriptors: Foreign Countries, Psychometrics, Adaptive Testing, Computer Assisted Testing
Chang, Shu-Ren; Plake, Barbara S.; Ferdous, Abdullah A. – Online Submission, 2005
This study examined the time different ability level examinees spend taking a CAT on demanding items to these examinees. It was also found that high able examinees spend more time on the pretest items, which are not tailored to the examinees' ability level, than do lower ability examinees. Higher able examinees showed persistence with test…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Reaction Time
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