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Aybek, Eren Can; Demirtasli, R. Nukhet – International Journal of Research in Education and Science, 2017
This article aims to provide a theoretical framework for computerized adaptive tests (CAT) and item response theory models for polytomous items. Besides that, it aims to introduce the simulation and live CAT software to the related researchers. Computerized adaptive test algorithm, assumptions of item response theory models, nominal response…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Test Items
Fraillon, Julian, Ed.; Ainley, John, Ed.; Schulz, Wolfram, Ed.; Friedman, Tim, Ed.; Duckworth, Daniel, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
Nering, Michael L., Ed.; Ostini, Remo, Ed. – Routledge, Taylor & Francis Group, 2010
This comprehensive "Handbook" focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models…
Descriptors: Guides, Item Response Theory, Test Items, Correlation
Thorndike, Robert L. – 1983
In educational testing, one is concerned to get as much information as possible about a given examinee from each minute of testing time. Maximum information is obtained when the difficulty of each test exercise matches the estimated ability level of the examinee. The goal of adaptive testing is to accomplish this. Adaptive patterns are reviewed…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Latent Trait Theory
Nitko, Anthony J.; Hsu, Tse-chi – 1984
Item analysis procedures appropriate for domain-referenced classroom testing are described. A conceptual framework within which item statistics can be considered and promising statistics in light of this framework are presented. The sampling fluctuations of the more promising item statistics for sample sizes comparable to the typical classroom…
Descriptors: Computer Assisted Testing, Criterion Referenced Tests, Item Analysis, Microcomputers
Hiscox, Michael D. – 1983
Educational item banking presents observers with a considerable paradox. The development of test items from scratch is viewed as wasteful, a luxury in times of declining resources. On the other hand, item banking has failed to become a mature technology despite large amounts of money and the efforts of talented professionals. The question of which…
Descriptors: Computer Assisted Testing, Cost Effectiveness, Cost Estimates, Educational Testing
Sarvela, Paul D.; Noonan, John V. – 1987
Although there are many advantages to using computer-based tests (CBTs) linked to computer-based instruction (CBI), there are also several difficulties. In certain instructional settings, it is difficult to conduct psychometric analyses of test results. Several measurement issues surface when CBT programs are linked to CBI. Testing guidelines…
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Educational Testing, Equated Scores
Holmes, Susan E. – 1983
CSAR (Characteristic Storage And Retrieval) is the name of an interactive item bank system for the storage, retrieval, manipulation, and summarization of information about multiple choice test items. The purpose of the system is to facilitate the test construction process. The system has two main components: one or more item banks and an…
Descriptors: Achievement Tests, Computer Assisted Testing, Information Retrieval, Information Storage
DeAyala, R. J.; Koch, William R. – 1987
A nominal response model-based computerized adaptive testing procedure (nominal CAT) was implemented using simulated data. Ability estimates from the nominal CAT were compared to those from a CAT based upon the three-parameter logistic model (3PL CAT). Furthermore, estimates from both CAT procedures were compared with the known true abilities used…
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Computer Simulation
Weiss, David J.; Suhadolnik, Debra – 1982
The present monte carlo simulation study was designed to examine the effects of multidimensionality during the administration of computerized adaptive testing (CAT). It was assumed that multidimensionality existed in the individuals to whom test items were being administered, i.e., that the correct or incorrect responses given by an individual…
Descriptors: Adaptive Testing, Computer Assisted Testing, Factor Structure, Latent Trait Theory
Mason, Emanuel; Zollman, Alan – Focus on Learning Problems in Mathematics, 1992
This study explored the relationship between traditional item difficulty and cognitive complexity as measured by response time. Rural students (n=43) responded to computer-based tests of the Individualized Study by Technology General Mathematics Course developed by Alaska's Department of Education. Results indicated that mean response times were…
Descriptors: Cognitive Measurement, Cognitive Processes, Computer Assisted Instruction, Computer Assisted Testing
Weiss, David J. – 1985
This research program was designed to investigate the applications of item response theory and computerized adaptive testing to the unique problems of the measurement of ability and the measurement of achievement. The research utilized a combination of monte carlo simulation studies and live-testing studies. The research approach for adaptive…
Descriptors: Ability, Achievement Tests, Adaptive Testing, Computer Assisted Testing
Forbes, Dean W. – 1986
For many years personalization of achievement testing has been impossible in all but the simplest forms. Recently, item response theory (IRT), or latent trait theory, has emerged as a valuable tool which brings far greater flexibility to the process than had previously been possible. The single parameter Rasch Model, a mathematical model developed…
Descriptors: Achievement Tests, Adaptive Testing, Computer Assisted Testing, Elementary Secondary Education
Schratz, Mary K. – 1986
A computerized adaptive testing version of the Armed Services Vocational Aptitude Battery (CAT-ASVAB) is being developed to test ten areas of vocational aptitude. Development of the CAT-ASVAB is based upon the use of item banks, testing and scoring procedures, assessment of test reliability and test validity, a technical manual, and the…
Descriptors: Adaptive Testing, Adults, Aptitude Tests, Computer Assisted Testing

Tait, K.; Hughes, I. E. – Computers and Education, 1984
Describes a computerized system which presents objective test items to students, and upon question completion, provides immediate feedback with correct answers and explanations. Use of the system by pharmacology students and an analysis of end-of-year examination results are presented. (Author/MBR)
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Computer Software, Data Analysis
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