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Russell, Michael; Hoffmann, Thomas; Higgins, Jennifer – TEACHING Exceptional Children, 2009
Students with disabilities and special needs have faced challenges in accessing educational content, and in taking traditional pen-and-paper tests. How might technology improve the process, while making statewide tests truly accessible to all students? NimbleTools is the first computer-based test delivery system that incorporates principles of…
Descriptors: Delivery Systems, Test Items, Computer Assisted Testing, Disabilities
Frey, Andreas; Carstensen, Claus H. – Measurement: Interdisciplinary Research and Perspectives, 2009
On a general level, the objective of diagnostic classifications models (DCMs) lies in a classification of individuals regarding multiple latent skills. In this article, the authors show that this objective can be achieved by multidimensional adaptive testing (MAT) as well. The authors discuss whether or not the restricted applicability of DCMs can…
Descriptors: Adaptive Testing, Test Items, Classification, Psychometrics
Zhang, Jinming; Chang, Hua-Hua – ETS Research Report Series, 2005
This paper compares the use of multiple pools versus a single pool with respect to test security against large-scale item sharing among some examinees in a computer-based test, under the assumption that a randomized item selection method is used. It characterizes the conditions under which employing multiple pools is better than using a single…
Descriptors: Comparative Analysis, Test Items, Item Banks, Computer Assisted Testing
Veldkamp, Bernard P.; van der Linden, Wim J.; Ariel, Adelaide – 2002
This paper presents an approach to item pool design that has the potential to improve on the quality of current item pools in educational and psychological testing and thus to increase both measurement precision and validity. The approach consists of the application of mathematical programming techniques to calculate optimal blueprints for item…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Test Construction
Veldkamp, Bernard P.; Ariel, Adelaide – 2002
Several methods have been developed for use on constrained adaptive testing. Item pool partitioning, multistage testing, and testlet-based adaptive testing are methods that perform well for specific cases of adaptive testing. The weighted deviation model and the Shadow Test approach can be more generally applied. These methods are based on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Test Construction
Ariel, Adelaide; Veldkamp, Bernard P.; van der Linden, Wim J. – 2002
Preventing items in adaptive testing from being over- or underexposed is one of the main problems in computerized adaptive testing. Though the problem of overexposed items can be solved using a probabilistic item-exposure control method, such methods are unable to deal with the problem of underexposed items. Using a system of rotating item pools,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Test Construction
Luecht, Richard M. – 2001
The Microsoft Certification Program (MCP) includes many new computer-based item types, based on complex cases involving the Windows 2000 (registered) operating system. This Innovative Item Technology (IIT) has presented challenges beyond traditional psychometric considerations such as capturing and storing the relevant response data from…
Descriptors: Certification, Coding, Computer Assisted Testing, Data Collection
Spray, Judith; Lin, Chuan-Ju; Chen, Troy T. – 2002
Automated test assembly is a technology for producing multiple, equivalent test forms from an item pool. An important consideration for test security in automated test assembly is the inclusion of the same items on these multiple forms. Although it is possible to use item selection as a formal constraint in assembling forms, the number of…
Descriptors: Computer Assisted Testing, Item Banks, Test Construction, Test Format
van der Linden, Wim J. – 2001
This report contains a review of procedures for computerized assembly of linear, sequential, and adaptive tests. The common approach to these test assembly problems is to view them as instances of constrained combinatorial optimization. For each testing format, several potentially useful objective functions and types of constraints are discussed.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Test Format
Chang, Shun-Wen; Twu, Bor-Yaun – 2001
To satisfy the security requirements of computerized adaptive tests (CATs), efforts have been made to control the exposure rates of optimal items directly by incorporating statistical methods into the item selection procedure. Since differences are likely to occur between the exposure control parameter derivation stage and the operational CAT…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Simulation
Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – 2000
Information based item selection methods in computerized adaptive tests (CATs) tend to choose the item that provides maximum information at an examinee's estimated trait level. As a result, these methods can yield extremely skewed item exposure distributions in which items with high "a" values may be overexposed, while those with low…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Simulation
Deng, Hui; Chang, Hua-Hua – 2001
The purpose of this study was to compare a proposed revised a-stratified, or alpha-stratified, USTR method of test item selection with the original alpha-stratified multistage computerized adaptive testing approach (STR) and the use of maximum Fisher information (FSH) with respect to test efficiency and item pool usage using simulated computerized…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection
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
Peer reviewedDavis, Laurie Laughlin; Pastor, Dena A.; Dodd, Barbara G.; Chiang, Claire; Fitzpatrick, Steven J. – Journal of Applied Measurement, 2003
Examined the effectiveness of the Sympson-Hetter technique and rotated content balancing relative to no exposure control and no content rotation conditions in a computerized adaptive testing system based on the partial credit model. Simulation results show the Sympson-Hetter technique can be used with minimal impact on measurement precision,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Simulation
Peer reviewedZwick, Rebecca; Thayer, Dorothy T. – Applied Psychological Measurement, 2002
Used a simulation to investigate the applicability to computerized adaptive test data of a differential item functioning (DIF) analysis method. Results show the performance of this empirical Bayes enhancement of the Mantel Haenszel DIF analysis method to be quite promising. (SLD)
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Item Bias

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