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Balajthy, Ernest – Reading Teacher, 2007
Computer-based technologies offer promise as a means to assess students and provide teachers with better understandings of their students' achievement. This article describes recent developments in computer-based and web-based reading and literacy assessment, focusing on assessment administration, information management, and report creation. In…
Descriptors: Student Evaluation, Computer Uses in Education, Computer Software, Computer Assisted Testing
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Kann, Laura; Brener, Nancy D.; Wechsler, Howell – Journal of School Health, 2007
Background: The School Health Policies and Programs Study (SHPPS) 2006 is the largest, most comprehensive assessment of school health programs in the United States ever conducted. Methods: The Centers for Disease Control and Prevention conducts SHPPS every 6 years. In 2006, computer-assisted telephone interviews or self-administered mail…
Descriptors: Health Services, Comprehensive School Health Education, Health Promotion, Health Programs
Puhan, Gautam; Boughton, Keith; Kim, Sooyeon – Journal of Technology, Learning, and Assessment, 2007
The study evaluated the comparability of two versions of a certification test: a paper-and-pencil test (PPT) and computer-based test (CBT). An effect size measure known as Cohen's d and differential item functioning (DIF) analyses were used as measures of comparability at the test and item levels, respectively. Results indicated that the effect…
Descriptors: Computer Assisted Testing, Effect Size, Test Bias, Mathematics Tests
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Springer, Robert; Pugalee, David; Algozzine, Bob – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2007
In U.S. schools, students must pass statewide competency tests to graduate from high school. In this article, the authors summarize the development and testing of a program implemented to improve the skills of students failing to "make the grade" on these high-stakes tests. District personnel randomly assigned twenty-eight students who…
Descriptors: Mathematics Tests, High Stakes Tests, Mathematics Skills, Skill Development
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Almond, Russell G.; DiBello, Louis V.; Moulder, Brad; Zapata-Rivera, Juan-Diego – Journal of Educational Measurement, 2007
This paper defines Bayesian network models and examines their applications to IRT-based cognitive diagnostic modeling. These models are especially suited to building inference engines designed to be synchronous with the finer grained student models that arise in skills diagnostic assessment. Aspects of the theory and use of Bayesian network models…
Descriptors: Inferences, Models, Item Response Theory, Cognitive Measurement
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Brown, Richard S.; Villarreal, Julio C. – International Journal of Testing, 2007
There has been considerable research regarding the extent to which psychometric sound assessments sometimes yield individual score estimates that are inconsistent with the response patterns of the individual. It has been suggested that individual response patterns may differ from expectations for a number of reasons, including subject motivation,…
Descriptors: Psychometrics, Test Bias, Testing, Simulation
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Wuensch, Karl; Aziz, Shahnaz; Ozan, Erol; Kishore, Masao; Tabrizi, M. H. Nassehzadeh – International Journal on E-Learning, 2008
Currently, many students have had experience with both face-to-face and online classes. We asked such students at 46 different universities in the United States to evaluate the pedagogical characteristics of their most recently completed face-to-face class and their most recently completed online class. The results show that students rate online…
Descriptors: College Students, Conventional Instruction, Course Evaluation, Student Evaluation
Bergstrom, Betty A.; Lunz, Mary E. – 1991
The equivalence of pencil and paper Rasch item calibrations when used in a computer adaptive test administration was explored in this study. Items (n=726) were precalibarted with the pencil and paper test administrations. A computer adaptive test was administered to 321 medical technology students using the pencil and paper precalibrations in the…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
Gershon, Richard; Bergstrom, Betty – 1995
When examinees are allowed to review responses on an adaptive test, can they "cheat" the adaptive algorithm in order to take an easier test and improve their performance? Theoretically, deliberately answering items incorrectly will lower the examinee ability estimate and easy test items will be administered. If review is then allowed,…
Descriptors: Adaptive Testing, Algorithms, Cheating, Computer Assisted Testing
Lunz, Mary E. – 1997
This paper explains the multifacet technology for analyzing performance examinations and the fair average method of setting criterion standards. The multidimensional nature of performance examinations requires that multiple and often different facets elements of a candidate's examination form be accounted for in the analysis. After this is…
Descriptors: Ability, Computer Assisted Testing, Criteria, Educational Technology
Stocking, Martha L. – 1988
Recent advances in psychometrics and computer technology encourage the development of model-based methods of individualized testing on a microcomputer, where each examinee receives short tests and where the number of pretest items that can be administered is severely restricted. On-line (i.e., data is collected on operational equipment) methods…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Item Response Theory
Stocking, Martha L.; Lewis, Charles – 1995
In the periodic testing environment associated with conventional paper-and-pencil tests, the frequency with which items are seen by test-takers is tightly controlled in advance of testing by policies that regulate both the reuse of test forms and the frequency with which candidates may take the test. In the continuous testing environment…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Test Construction
Rudner, Lawrence – 1998
This digest discusses the advantages and disadvantages of using item banks, and it provides useful information for those who are considering implementing an item banking project in their school districts. The primary advantage of item banking is in test development. Using an item response theory method, such as the Rasch model, items from multiple…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Item Banks
Davey, Tim; Parshall, Cynthia G. – 1995
Although computerized adaptive tests acquire their efficiency by successively selecting items that provide optimal measurement at each examinee's estimated level of ability, operational testing programs will typically consider additional factors in item selection. In practice, items are generally selected with regard to at least three, often…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
Yi, Qing; Nering, Michael L. – 1998
This study developed a model to simulate nonmodel-fitting responses in a computerized adaptive testing (CAT) environment, and to examine the effectiveness of the model. The underlying idea was to simulate examinees' test behaviors realistically. This study simulated a situation in which examinees are exposed to or are coached on test items before…
Descriptors: Adaptive Testing, Computer Assisted Testing, Goodness of Fit, Item Response Theory
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