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Aybek, Eren Can – Journal of Applied Testing Technology, 2021
The study aims to introduce catIRT tools which facilitates researchers' Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) simulations. catIRT tools provides an interface for mirt and catR packages through the shiny package in R. Through this interface, researchers can apply IRT calibration and CAT simulations although they do not…
Descriptors: Item Response Theory, Computer Assisted Testing, Simulation, Models
Wolkowitz, Amanda A.; Foley, Brett P.; Zurn, Jared – Journal of Applied Testing Technology, 2021
As assessments move from traditional paper-pencil administration to computer-based administration, many testing programs are incorporating alternative item types (AITs) into assessments with the goals of measuring higher-order thinking, offering insight into problem-solving, and representing authentic real-world tasks. This paper explores multiple…
Descriptors: Psychometrics, Alternative Assessment, Computer Assisted Testing, Test Items
Weiner, John A.; Hurtz, Gregory M. – Journal of Applied Testing Technology, 2017
Advances in technology have spurred innovations in secure assessment delivery. One such innovation, remote online proctoring, has become increasingly sophisticated and is gaining wider consideration for high-stakes testing. However, there is an absence of published research examining remote online proctoring and its effects on test scores and the…
Descriptors: Comparative Analysis, Computer Assisted Testing, High Stakes Tests, Supervision
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
Jacobsen, Jared; Ackermann, Richard; Eguez, Jane; Ganguli, Debalina; Rickard, Patricia; Taylor, Linda – Journal of Applied Testing Technology, 2011
A computer adaptive test (CAT) is a delivery methodology that serves the larger goals of the assessment system in which it is embedded. A thorough analysis of the assessment system for which a CAT is being designed is critical to ensure that the delivery platform is appropriate and addresses all relevant complexities. As such, a CAT engine must be…
Descriptors: Delivery Systems, Testing Programs, Computer Assisted Testing, Foreign Countries
Makransky, Guido; Glas, Cees A. W. – Journal of Applied Testing Technology, 2010
An accurately calibrated item bank is essential for a valid computerized adaptive test. However, in some settings, such as occupational testing, there is limited access to test takers for calibration. As a result of the limited access to possible test takers, collecting data to accurately calibrate an item bank in an occupational setting is…
Descriptors: Foreign Countries, Simulation, Adaptive Testing, Computer Assisted Testing
Ferrara, Steve; Perie, Marianne; Johnson, Eugene – Journal of Applied Testing Technology, 2008
Psychometricians continue to introduce new approaches to setting cut scores for educational assessments in an attempt to improve on current methods. In this paper we describe the Item-Descriptor (ID) Matching method, a method based on IRT item mapping. In ID Matching, test content area experts match items (i.e., their judgments about the knowledge…
Descriptors: Test Results, Test Content, Testing Programs, Educational Testing