NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Xi; Liu, Yang; Robin, Frederic; Guo, Hongwen – International Journal of Testing, 2019
In an on-demand testing program, some items are repeatedly used across test administrations. This poses a risk to test security. In this study, we considered a scenario wherein a test was divided into two subsets: one consisting of secure items and the other consisting of possibly compromised items. In a simulation study of multistage adaptive…
Descriptors: Identification, Methods, Test Items, Cheating
Hong Jiao, Editor; Robert W. Lissitz, Editor – IAP - Information Age Publishing, Inc., 2024
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better…
Descriptors: Artificial Intelligence, Natural Language Processing, Psychometrics, Computer Assisted Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Shu-Ying – Applied Psychological Measurement, 2010
To date, exposure control procedures that are designed to control test overlap in computerized adaptive tests (CATs) are based on the assumption of item sharing between pairs of examinees. However, in practice, examinees may obtain test information from more than one previous test taker. This larger scope of information sharing needs to be…
Descriptors: Computer Assisted Testing, Adaptive Testing, Methods, Test Items
Peer reviewed Peer reviewed
Direct linkDirect link
Tendeiro, Jorge N.; Meijer, Rob R. – Applied Psychological Measurement, 2012
This article extends the work by Armstrong and Shi on CUmulative SUM (CUSUM) person-fit methodology. The authors present new theoretical considerations concerning the use of CUSUM person-fit statistics based on likelihood ratios for the purpose of detecting cheating and random guessing by individual test takers. According to the Neyman-Pearson…
Descriptors: Cheating, Individual Testing, Adaptive Testing, Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Yi, Qing; Zhang, Jinming; Chang, Hua-Hua – Applied Psychological Measurement, 2008
Criteria had been proposed for assessing the severity of possible test security violations for computerized tests with high-stakes outcomes. However, these criteria resulted from theoretical derivations that assumed uniformly randomized item selection. This study investigated potential damage caused by organized item theft in computerized adaptive…
Descriptors: Test Items, Simulation, Item Analysis, Safety
Peer reviewed Peer reviewed
Direct linkDirect link
Papanastasiou, Elena C.; Reckase, Mark D. – International Journal of Testing, 2007
Because of the increased popularity of computerized adaptive testing (CAT), many admissions tests, as well as certification and licensure examinations, have been transformed from their paper-and-pencil versions to computerized adaptive versions. A major difference between paper-and-pencil tests and CAT from an examinee's point of view is that in…
Descriptors: Simulation, Adaptive Testing, Computer Assisted Testing, Test Items
Peer reviewed Peer reviewed
Stocking, Martha L.; Ward, William C.; Potenza, Maria T. – Journal of Educational Measurement, 1998
Explored, using simulations, the use of disclosed items on continuous testing conditions under a worse-case scenario that assumes that disclosed items are always answered correctly. Some item pool and test designs were identified in which the use of disclosed items produces effects on test scores that may be viewed as negligible. (Author/MAK)
Descriptors: Adaptive Testing, Cheating, Computer Assisted Testing, Item Banks
McLeod, Lori D.; Schnipke, Deborah L. – 1999
Because scores on high-stakes tests influence many decisions, tests need to be secure. Decisions based on scores affected by preknowledge of items are unacceptable. New methods are needed to detect the new cheating strategies used for computer-administered tests because item pools are typically used over time, providing the potential opportunity…
Descriptors: Adaptive Testing, Cheating, Computer Assisted Testing, High Stakes Tests
Gershon, Richard; Bergstrom, Betty – 1995
When examinees are allowed to review responses on an adaptive test, can they "cheat" the adaptive algorithm in order to take an easier test and improve their performance? Theoretically, deliberately answering items incorrectly will lower the examinee ability estimate and easy test items will be administered. If review is then allowed,…
Descriptors: Adaptive Testing, Algorithms, Cheating, Computer Assisted Testing
Bailey, Kathleen M., Ed.; And Others – 1987
This collection of 10 selected conference papers report the results of language testing research. Titles and authors are: "Computerized Adaptive Language Testing: A Spanish Placement Exam" (Jerry W. Larson); "Utilizing Rasch Analysis to Detect Cheating on Language Examinations" (Harold S. Madsen); "Scalar Analysis of…
Descriptors: Adaptive Testing, Audiolingual Skills, Cheating, Computer Assisted Testing