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Stark, Stephen; Chernyshenko, Oleksandr S. – International Journal of Testing, 2011
This article delves into a relatively unexplored area of measurement by focusing on adaptive testing with unidimensional pairwise preference items. The use of such tests is becoming more common in applied non-cognitive assessment because research suggests that this format may help to reduce certain types of rater error and response sets commonly…
Descriptors: Test Length, Simulation, Adaptive Testing, Item Analysis
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
Royal, Kenneth D. – Online Submission, 2009
Quality measurement is essential in every form of research, including institutional research and assessment. Unfortunately, most survey research today (both published and unpublished) is lacking with regards to quality measurement. Reporting means and standard deviations based on ordinal measures is an inappropriate, yet widespread practice in the…
Descriptors: Higher Education, Institutional Research, Measurement Techniques, Item Response Theory
Yen, Yung-Chin; Ho, Rong-Guey; Chen, Li-Ju; Chou, Kun-Yi; Chen, Yan-Lin – Educational Technology & Society, 2010
The purpose of this study was to examine whether the efficiency, precision, and validity of computerized adaptive testing (CAT) could be improved by assessing confidence differences in knowledge that examinees possessed. We proposed a novel polytomous CAT model called the confidence-weighting computerized adaptive testing (CWCAT), which combined a…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Item Response Theory
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
Ferdous, Abdullah A.; Plake, Barbara S.; Chang, Shu-Ren – Educational Assessment, 2007
The purpose of this study was to examine the effect of pretest items on response time in an operational, fixed-length, time-limited computerized adaptive test (CAT). These pretest items are embedded within the CAT, but unlike the operational items, are not tailored to the examinee's ability level. If examinees with higher ability levels need less…
Descriptors: Pretests Posttests, Reaction Time, Computer Assisted Testing, Test Items
Lai, Ah-Fur; Chen, Deng-Jyi; Chen, Shu-Ling – Journal of Educational Multimedia and Hypermedia, 2008
The IRT (Item Response Theory) has been studied and applied in computer-based test for decades. However, almost of all these existing studies evaluated focus merely on test questions with text-based (or static text/graphic) type of presentation form illustrated exclusively. In this paper, we present our study on test questions using both…
Descriptors: Elementary School Students, Semantics, Difficulty Level, Item Response Theory
Robin, Frédéric; van der Linden, Wim J.; Eignor, Daniel R.; Steffen, Manfred; Stocking, Martha L. – ETS Research Report Series, 2005
The relatively new shadow test approach (STA) to computerized adaptive testing (CAT) proposed by Wim van der Linden is a potentially attractive alternative to the weighted deviation algorithm (WDA) implemented at ETS. However, it has not been evaluated under testing conditions representative of current ETS testing programs. Of interest was whether…
Descriptors: Test Construction, Computer Assisted Testing, Simulation, Evaluation Methods
Lei, Pui-Wa; Chen, Shu-Ying; Yu, Lan – Journal of Educational Measurement, 2006
Mantel-Haenszel and SIBTEST, which have known difficulty in detecting non-unidirectional differential item functioning (DIF), have been adapted with some success for computerized adaptive testing (CAT). This study adapts logistic regression (LR) and the item-response-theory-likelihood-ratio test (IRT-LRT), capable of detecting both unidirectional…
Descriptors: Evaluation Methods, Test Bias, Computer Assisted Testing, Multiple Regression Analysis
Al-A'ali, Mansoor – Educational Technology & Society, 2007
Computer adaptive testing is the study of scoring tests and questions based on assumptions concerning the mathematical relationship between examinees' ability and the examinees' responses. Adaptive student tests, which are based on item response theory (IRT), have many advantages over conventional tests. We use the least square method, a…
Descriptors: Educational Testing, Higher Education, Elementary Secondary Education, Student Evaluation
Samejima, Fumiko – 1990
This paper is the final report of a multi-year project sponsored by the Office of Naval Research (ONR) in 1987 through 1990. The main objectives of the research summarized were to: investigate the non-parametric approach to the estimation of the operating characteristics of discrete item responses; revise and strengthen the package computer…
Descriptors: Adaptive Testing, Computer Assisted Testing, Distractors (Tests), Equations (Mathematics)
Guzman, Eduardo; Conejo, Ricardo; Garcia-Hervas; Emilio – Educational Technology & Society, 2005
SIETTE is a web-based adaptive testing system. It implements Computerized Adaptive Tests. These tests are tailor-made, theory-based tests, where questions shown to students, finalization of the test, and student knowledge estimation is accomplished adaptively. To construct these tests, SIETTE has an authoring environment comprising a suite of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Test Items