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Rudner, Lawrence M.; Guo, Fanmin – Journal of Applied Testing Technology, 2011
This study investigates measurement decision theory (MDT) as an underlying model for computer adaptive testing when the goal is to classify examinees into one of a finite number of groups. The first analysis compares MDT with a popular item response theory model and finds little difference in terms of the percentage of correct classifications. The…
Descriptors: Adaptive Testing, Instructional Systems, Item Response Theory, Computer Assisted Testing
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Dumas, Helene; Fragala-Pinkham, Maria; Haley, Stephen; Coster, Wendy; Kramer, Jessica; Kao, Ying-Chia; Moed, Richard – Physical & Occupational Therapy in Pediatrics, 2010
The Pediatric Evaluation of Disability Inventory (PEDI) is a useful clinical and research assessment, but it has limitations in content, age range, and efficiency. The purpose of this article is to describe the development of the item bank for a new computer adaptive testing version of the PEDI (PEDI-CAT). An expanded item set and response options…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Measures (Individuals)
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Chang, Yuan-chin Ivan; Lu, Hung-Yi – Psychometrika, 2010
Item calibration is an essential issue in modern item response theory based psychological or educational testing. Due to the popularity of computerized adaptive testing, methods to efficiently calibrate new items have become more important than that in the time when paper and pencil test administration is the norm. There are many calibration…
Descriptors: Test Items, Educational Testing, Adaptive Testing, Measurement
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Barker, Trevor – Electronic Journal of e-Learning, 2011
The recent National Students Survey showed that feedback to students was an ongoing problem in Higher Education. This paper reports on the extension of our past research into the provision of automated feedback for objective testing. In the research presented here, the system has been further developed for marking practical and essay questions and…
Descriptors: Feedback (Response), Evaluation, Adaptive Testing, Objective Tests
Evans, Josiah Jeremiah – ProQuest LLC, 2010
In measurement research, data simulations are a commonly used analytical technique. While simulation designs have many benefits, it is unclear if these artificially generated datasets are able to accurately capture real examinee item response behaviors. This potential lack of comparability may have important implications for administration of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Educational Testing, Admission (School)
Deng, Hui; Melican, Gerald – College Board, 2010
The current study was designed to extend the current literature to study scale drift in CAT as part of improving quality control and calibration process for ACCUPLACER, a battery of large-scale adaptive placement tests. The study aims to evaluate item parameter drift using empirical data that span four years from the ACCUPLACER Arithmetic…
Descriptors: Student Placement, Adaptive Testing, Computer Assisted Testing, Mathematics Tests
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Riley, Barth B.; Dennis, Michael L.; Conrad, Kendon J. – Applied Psychological Measurement, 2010
This simulation study sought to compare four different computerized adaptive testing (CAT) content-balancing procedures designed for use in a multidimensional assessment with respect to measurement precision, symptom severity classification, validity of clinical diagnostic recommendations, and sensitivity to atypical responding. The four…
Descriptors: Simulation, Computer Assisted Testing, Adaptive Testing, Comparative Analysis
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Guo, Jing; Tay, Louis; Drasgow, Fritz – International Journal of Testing, 2009
Test compromise is a concern in cognitive ability testing because such tests are widely used in employee selection and administered on a continuous basis. In this study, the resistance of cognitive tests, deployed in different test systems, to small-scale cheating conspiracies, was evaluated regarding the accuracy of ability estimation.…
Descriptors: Cheating, Cognitive Tests, Adaptive Testing, Computer Assisted Testing
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Cheng, Ying; Chang, Hua-Hua; Douglas, Jeffrey; Guo, Fanmin – Educational and Psychological Measurement, 2009
a-stratification is a method that utilizes items with small discrimination (a) parameters early in an exam and those with higher a values when more is learned about the ability parameter. It can achieve much better item usage than the maximum information criterion (MIC). To make a-stratification more practical and more widely applicable, a method…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
Stone, Elizabeth; Davey, Tim – Educational Testing Service, 2011
There has been an increased interest in developing computer-adaptive testing (CAT) and multistage assessments for K-12 accountability assessments. The move to adaptive testing has been met with some resistance by those in the field of special education who express concern about routing of students with divergent profiles (e.g., some students with…
Descriptors: Disabilities, Adaptive Testing, Accountability, Computer Assisted Testing
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Finkelman, Matthew; Nering, Michael L.; Roussos, Louis A. – Journal of Educational Measurement, 2009
In computerized adaptive testing (CAT), ensuring the security of test items is a crucial practical consideration. A common approach to reducing item theft is to define maximum item exposure rates, i.e., to limit the proportion of examinees to whom a given item can be administered. Numerous methods for controlling exposure rates have been proposed…
Descriptors: Test Items, Adaptive Testing, Item Analysis, Item Response Theory
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Chang, Shu-Ren; Plake, Barbara S.; Kramer, Gene A.; Lien, Shu-Mei – Educational and Psychological Measurement, 2011
This study examined the amount of time that different ability-level examinees spend on questions they answer correctly or incorrectly across different pretest item blocks presented on a fixed-length, time-restricted computerized adaptive testing (CAT). Results indicate that different ability-level examinees require different amounts of time to…
Descriptors: Evidence, Test Items, Reaction Time, Adaptive Testing
Kim, Jiseon – ProQuest LLC, 2010
Classification testing has been widely used to make categorical decisions by determining whether an examinee has a certain degree of ability required by established standards. As computer technologies have developed, classification testing has become more computerized. Several approaches have been proposed and investigated in the context of…
Descriptors: Test Length, Computer Assisted Testing, Classification, Probability
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Schmitt, T. A.; Sass, D. A.; Sullivan, J. R.; Walker, C. M. – International Journal of Testing, 2010
Imposed time limits on computer adaptive tests (CATs) can result in examinees having difficulty completing all items, thus compromising the validity and reliability of ability estimates. In this study, the effects of speededness were explored in a simulated CAT environment by varying examinee response patterns to end-of-test items. Expectedly,…
Descriptors: Monte Carlo Methods, Simulation, Computer Assisted Testing, Adaptive Testing
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Veldkamp, Bernard P.; van der Linden, Wim J. – International Journal of Testing, 2008
In most operational computerized adaptive testing (CAT) programs, the Sympson-Hetter (SH) method is used to control the exposure of the items. Several modifications and improvements of the original method have been proposed. The Stocking and Lewis (1998) version of the method uses a multinomial experiment to select items. For severely constrained…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Methods
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