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Hetter, Rebecca D.; And Others – Applied Psychological Measurement, 1994
Effects on computerized adaptive test score of using a paper-and-pencil (P&P) calibration to select items and estimate scores were compared with effects of using computer calibration. Results with 2,999 Navy recruits support the use of item parameters calibrated from either P&P or computer administrations. (SLD)
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Estimation (Mathematics)
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Stocking, Martha L.; Swanson, Len – Applied Psychological Measurement, 1993
A method is presented for incorporating a large number of constraints on adaptive item selection in the construction of computerized adaptive tests. The method, which emulates practices of expert test specialists, is illustrated for verbal and quantitative measures. Its foundation is application of a weighted deviations model and algorithm. (SLD)
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Expert Systems
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Gierl, Mark J. – Applied Psychological Measurement, 1998
This book documents the research, development, and implementation efforts that allowed the U.S. Department of Defense to initiate the Computerized Adaptive Testing Armed Services Vocational Aptitude Battery Program for enlistment testing. Traces the history of this program over 30 years. (SLD)
Descriptors: Adaptive Testing, Aptitude Tests, Armed Forces, Computer Assisted Testing
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Eggen, T. J. H. M.; Straetmans, G. J. J. M. – Educational and Psychological Measurement, 2000
Studied the use of adaptive testing when examinees are classified into three categories. Established testing algorithms with two different statistical computation procedures and evaluated them through simulation using an operative item bank from Dutch basic adult education. Results suggest a reduction of at least 22% in the mean number of items…
Descriptors: Adaptive Testing, Adult Education, Algorithms, Classification
Olson, Allan – School Administrator, 2002
Northwest Evaluation Association in Portland, Oregon, consults with state and local educators on assessment issues. Describes several approaches in place at school districts that are using some combination of computer-based tests to measure student growth. The computerized adaptive test adjusts items based on a student's answer in "real…
Descriptors: Adaptive Testing, Computer Uses in Education, Educational Assessment, Educational Technology
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Clark, Linda – T.H.E. Journal, 2004
Most educators today would agree that the mission of the teaching profession has become more complex and much more challenging than ever before. Changes in district demographics, societal pressures that require more personalized student attention, evermore stringent governmental demands, and constant budgetary concerns all have an impact on…
Descriptors: Teaching (Occupation), Adaptive Testing, Computer Assisted Testing, Academic Achievement
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Rupp, Andre A. – International Journal of Testing, 2003
Item response theory (IRT) has become one of the most popular scoring frameworks for measurement data. IRT models are used frequently in computerized adaptive testing, cognitively diagnostic assessment, and test equating. This article reviews two of the most popular software packages for IRT model estimation, BILOG-MG (Zimowski, Muraki, Mislevy, &…
Descriptors: Test Items, Adaptive Testing, Item Response Theory, Computer Software
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Ariel, Adelaide; Veldkamp, Bernard P.; van der Linden, Wim J. – Journal of Educational Measurement, 2004
Preventing items in adaptive testing from being over- or underexposed is one of the main problems in computerized adaptive testing. Though the problem of overexposed items can be solved using a probabilistic item-exposure control method, such methods are unable to deal with the problem of underexposed items. Using a system of rotating item pools,…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Banks, Test Construction
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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
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Gorin, Joanna; Dodd, Barbara; Fitzpatrick, Steven; Shieh, Yann – Applied Psychological Measurement, 2005
The primary purpose of this research is to examine the impact of estimation methods, actual latent trait distributions, and item pool characteristics on the performance of a simulated computerized adaptive testing (CAT) system. In this study, three estimation procedures are compared for accuracy of estimation: maximum likelihood estimation (MLE),…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computation, Test Items
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Tseng, Shian-Shyong; Sue, Pei-Chi; Su, Jun-Ming; Weng, Jui-Feng; Tsai, Wen-Nung – Computers & Education, 2007
In recent years, e-learning system has become more and more popular and many adaptive learning environments have been proposed to offer learners customized courses in accordance with their aptitudes and learning results. For achieving the adaptive learning, a predefined concept map of a course is often used to provide adaptive learning guidance…
Descriptors: Concept Mapping, Educational Technology, Virtual Classrooms, Junior High Schools
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Jackson, Allen W.; Ludtke, Andrew W.; Martin, Scott B.; Koziris, L. (Perry); Dishman, Rod K. – Research Quarterly for Exercise and Sport, 2006
The purpose of this investigation was to examine the force production patterns using perceived stimulus cues from 10% to 90% of maximal force. In Experiment 1, 54 men (age: 19-34 years) and 53 women (age: 18-37 years) performed leg extensions on a dynamometer at a speed of 60 degrees/s. Participants produced actual forces perceived to be 10-90% of…
Descriptors: Cues, Stimuli, Physical Activities, Correlation
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Penfield, Randall D. – Applied Measurement in Education, 2006
This study applied the maximum expected information (MEI) and the maximum posterior-weighted information (MPI) approaches of computer adaptive testing item selection to the case of a test using polytomous items following the partial credit model. The MEI and MPI approaches are described. A simulation study compared the efficiency of ability…
Descriptors: Bayesian Statistics, Adaptive Testing, Computer Assisted Testing, Test Items
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Ariel, Adelaide; Veldkamp, Bernard P.; Breithaupt, Krista – Applied Psychological Measurement, 2006
Computerized multistage testing (MST) designs require sets of test questions (testlets) to be assembled to meet strict, often competing criteria. Rules that govern testlet assembly may dictate the number of questions on a particular subject or may describe desirable statistical properties for the test, such as measurement precision. In an MST…
Descriptors: Item Response Theory, Item Banks, Psychometrics, Test Items
Stocking, Martha L. – 1994
As adaptive testing moves toward operational implementation in large scale testing programs, where it is important that adaptive tests be as parallel as possible to existing linear tests, a number of practical issues arise. This paper concerns three such issues. First, optimum item pool size is difficult to determine in advance of pool…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Standards
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