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Becker, Benjamin; van Rijn, Peter; Molenaar, Dylan; Debeer, Dries – Assessment & Evaluation in Higher Education, 2022
A common approach to increase test security in higher educational high-stakes testing is the use of different test forms with identical items but different item orders. The effects of such varied item orders are relatively well studied, but findings have generally been mixed. When multiple test forms with different item orders are used, we argue…
Descriptors: Information Security, High Stakes Tests, Computer Security, Test Items
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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
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Gorbunova, Tatiana N. – European Journal of Contemporary Education, 2017
The subject of the research is to build methodologies to evaluate the student knowledge by testing. The author points to the importance of feedback about the mastering level in the learning process. Testing is considered as a tool. The object of the study is to create the test system models for defence practice problems. Special attention is paid…
Descriptors: Testing, Evaluation Methods, Feedback (Response), Simulation
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Wothke, Werner; Burket, George; Chen, Li-Sue; Gao, Furong; Shu, Lianghua; Chia, Mike – Journal of Educational and Behavioral Statistics, 2011
It has been known for some time that item response theory (IRT) models may exhibit a likelihood function of a respondent's ability which may have multiple modes, flat modes, or both. These conditions, often associated with guessing of multiple-choice (MC) questions, can introduce uncertainty and bias to ability estimation by maximum likelihood…
Descriptors: Educational Assessment, Item Response Theory, Computation, Maximum Likelihood Statistics
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Lee, Won-Chan – Applied Psychological Measurement, 2007
This article introduces a multinomial error model, which models an examinee's test scores obtained over repeated measurements of an assessment that consists of polytomously scored items. A compound multinomial error model is also introduced for situations in which items are stratified according to content categories and/or prespecified numbers of…
Descriptors: Simulation, Error of Measurement, Scoring, Test Items
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Van Moere, Alistair; Suzuki, Masanori; Downey, Ryan; Cheng, Jian – Australian Review of Applied Linguistics, 2009
This paper discusses the development of an assessment to satisfy the International Civil Aviation Organization (ICAO) Language Proficiency Requirements. The Versant Aviation English Test utilizes speech recognition technology and a computerized testing platform, such that test administration and scoring are fully automated. Developed in…
Descriptors: Scoring, Test Construction, Language Proficiency, Standards
Luecht, Richard M. – 2003
This paper discusses two topics related to diagnostic score reporting for credentialing examinations. The first deals with various ways to compute subscores for credentialing examinations. The second addresses some pertinent factors to consider when presenting diagnostic results. To illustrate these issues, a sample set of subscores is used. This…
Descriptors: Certification, Diagnostic Tests, Licensing Examinations (Professions), Reports
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Coffey, David C.; Richardson, Mary G. – Mathematics Teaching in the Middle School, 2005
This article addresses misconceptions related to what makes an unfair game fair and describes from a personal perspective the process of discovering for oneself when a particular mathematical method works. (Contains 3 figures and 2 tables.)
Descriptors: Misconceptions, Educational Games, Probability, Mathematics Instruction
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Segall, Daniel O. – Journal of Educational and Behavioral Statistics, 2004
A new sharing item response theory (SIRT) model is presented that explicitly models the effects of sharing item content between informants and test takers. This model is used to construct adaptive item selection and scoring rules that provide increased precision and reduced score gains in instances where sharing occurs. The adaptive item selection…
Descriptors: Scoring, Item Analysis, Item Response Theory, Adaptive Testing
Jacobson, Larry; Stilley, Lori Rittenhouse – 1992
The Assessment Development Laboratory for the National Board for Professional Teaching Standards is developing a certification process with the three components of school site documentation, a content knowledge examination, and assessment center exercises. Activities involved in the development of the exercises and their scoring are described. The…
Descriptors: Assessment Centers (Personnel), College Students, Elementary School Teachers, Elementary Secondary Education