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Barnard, John J. – Practical Assessment, Research & Evaluation, 2018
Measurement specialists strive to shorten assessment time without compromising precision of scores. Computerized Adaptive Testing (CAT) has rapidly gained ground over the past decades to fulfill this goal. However, parameters for implementation of CATs need to be explored in simulations before implementation so that it can be determined whether…
Descriptors: Computer Assisted Testing, Adaptive Testing, Simulation, Multiple Choice Tests
Han, Kyung T.; Guo, Fanmin – Practical Assessment, Research & Evaluation, 2014
The full-information maximum likelihood (FIML) method makes it possible to estimate and analyze structural equation models (SEM) even when data are partially missing, enabling incomplete data to contribute to model estimation. The cornerstone of FIML is the missing-at-random (MAR) assumption. In (unidimensional) computerized adaptive testing…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Data, Computer Assisted Testing
Thompson, Nathan A.; Weiss, David J. – Practical Assessment, Research & Evaluation, 2011
A substantial amount of research has been conducted over the past 40 years on technical aspects of computerized adaptive testing (CAT), such as item selection algorithms, item exposure controls, and termination criteria. However, there is little literature providing practical guidance on the development of a CAT. This paper seeks to collate some…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Construction, Models
Becker, Kirk A.; Bergstrom, Betty A. – Practical Assessment, Research & Evaluation, 2013
The need for increased exam security, improved test formats, more flexible scheduling, better measurement, and more efficient administrative processes has caused testing agencies to consider converting the administration of their exams from paper-and-pencil to computer-based testing (CBT). Many decisions must be made in order to provide an optimal…
Descriptors: Testing, Models, Testing Programs, Program Administration
Huebner, Alan – Practical Assessment, Research & Evaluation, 2010
Cognitive diagnostic modeling has become an exciting new field of psychometric research. These models aim to diagnose examinees' mastery status of a group of discretely defined skills, or attributes, thereby providing them with detailed information regarding their specific strengths and weaknesses. Combining cognitive diagnosis with computer…
Descriptors: Cognitive Tests, Diagnostic Tests, Computer Assisted Testing, Adaptive Testing
Thompson, Nathan A. – Practical Assessment, Research & Evaluation, 2011
Computerized classification testing (CCT) is an approach to designing tests with intelligent algorithms, similar to adaptive testing, but specifically designed for the purpose of classifying examinees into categories such as "pass" and "fail." Like adaptive testing for point estimation of ability, the key component is the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Classification, Probability
Judd, Wallace – Practical Assessment, Research & Evaluation, 2009
Over the past twenty years in performance testing a specific item type with distinguishing characteristics has arisen time and time again. It's been invented independently by dozens of test development teams. And yet this item type is not recognized in the research literature. This article is an invitation to investigate the item type, evaluate…
Descriptors: Test Items, Test Format, Evaluation, Item Analysis