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Mitra, Ananda; Jain-Shukla, Parul; Robbins, Adrienne; Champion, Heather; Durant, Robert – International Journal on E-Learning, 2008
This article provides a broad overview of the definition of web-based surveys examining some of the benefits and burdens related to using the Web for data collection. It draws upon the experience of two years of data collection on 10 university campuses demonstrating that there are noticeable differences in the speed with which web-based surveys…
Descriptors: College Students, Research Methodology, Data Collection, Internet
Peer reviewedBergstrom, Betty A.; Lunz, Mary E. – Evaluation and the Health Professions, 1992
The level of confidence in pass/fail decisions obtained with computerized adaptive tests and paper-and-pencil tests was greater for 645 medical technology students when the computer adaptive test implemented a 90 percent confidence stopping rule than for paper-and-pencil tests of comparable length. (SLD)
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Confidence Testing
Meijer, Rob R.; van Krimpen-Stoop, Edith M. L. A. – 2003
In this study a cumulative-sum (CUSUM) procedure from the theory of Statistical Process Control was modified and applied in the context of person-fit analysis in a computerized adaptive testing (CAT) environment. Six person-fit statistics were proposed using the CUSUM procedure, and three of them could be used to investigate the CAT in online test…
Descriptors: Adaptive Testing, Computer Assisted Testing, Simulation, Test Construction
Peer reviewedLatu, Elisapesi; Chapman, Elaine – British Journal of Educational Technology, 2002
Considers the potential of computer adaptive testing (CAT). Discusses the use of CAT instead of traditional paper and pencil tests, identifies decisions that impact the efficacy of CAT, and concludes that CAT is beneficial when used to its full potential on certain types of tests. (LRW)
Descriptors: Adaptive Testing, Computer Assisted Testing, Intermode Differences, Tests
Peer reviewedBradlow, Eric T.; Weiss, Robert E. – Journal of Educational and Behavioral Statistics, 2001
Compares four methods that map outlier statistics to a familiarity probability scale (a "P" value). Explored these methods in the context of computerized adaptive test data from a 1995 nationally administered computerized examination for professionals in the medical industry. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Probability, Test Construction
Peer reviewedvan Krimpen-Stoop, Edith M. L. A.; Meijer, Rob R. – Journal of Educational and Behavioral Statistics, 2001
Proposed person-fit statistics that are designed for use in a computerized adaptive test (CAT) and derived critical values for these statistics using cumulative sum (CUSUM) procedures so that item-score patterns can be classified as fitting or misfitting. Compared nominal Type I errors with empirical Type I errors through simulation studies. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Simulation, Test Construction
Peer reviewedRoberts, James S.; Lin, Yan; Laughlin, James E. – Applied Psychological Measurement, 2001
Examined the use of the generalized graded unfolding model (GGUM) in computerized adaptive testing, using simulation and attempting to minimize the number of items required to produce equiprecise estimates of person locations. Results suggest that adaptive testing with the GGUM is a good method for achieving estimates with an approximately uniform…
Descriptors: Adaptive Testing, Computer Assisted Testing, Simulation, Test Items
Mislevy, Robert J.; Behrens, John T.; Bennett, Randy E.; Demark, Sarah F.; Frezzo, Dennis C.; Levy, Roy; Robinson, Daniel H.; Rutstein, Daisy Wise; Shute, Valerie J.; Stanley, Ken; Winters, Fielding I. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2007
People use external knowledge representations (EKRs) to identify, depict, transform, store, share, and archive information. Learning how to work with EKRs is central to becoming proficient in virtually every discipline. As such, EKRs play central roles in curriculum, instruction, and assessment. Five key roles of EKRs in educational assessment are…
Descriptors: Educational Assessment, Computer Networks, Test Construction, Computer Assisted Testing
Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives
Pavlik, Philip I., Jr.; Yudelson, Michael; Koedinger, Kenneth R. – Society for Research on Educational Effectiveness, 2011
The objective of this research was to better understand the transfer of learning between different variations of pre-algebra problems. While the authors could have addressed a specific variation that might address transfer, they were interested in developing a general model of transfer, so we gathered data from multiple problem types and their…
Descriptors: Transfer of Training, Item Analysis, Educational Technology, Algebra
Halloran, Roberta Kathryn – ProQuest LLC, 2011
Self-regulation, executive function and working memory are areas of cognitive processing that have been studied extensively. Although many studies have examined the constructs, there is limited empirical support suggesting a formal link between the three cognitive processes and their prediction of academic achievement. Thus, the present study…
Descriptors: Private Schools, Critical Reading, Standardized Tests, Learning Strategies
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
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
Wetzel, C. Douglas; McBride, James R. – 1983
Computer simulation was used to assess the effects of item parameter estimation errors on different item selection strategies used in adaptive and conventional testing. To determine whether these effects reduced the advantages of certain optimal item selection strategies, simulations were repeated in the presence and absence of item parameter…
Descriptors: Adaptive Testing, Computer Assisted Testing, Latent Trait Theory, Occupational Tests
Croll, Paul R. – 1982
A functional design model for a computerized adaptive testing (CAT) system was developed and presented through a series of hierarchy plus input-process-output (HIPO) diagrams. System functions were translated into system structure: specifically, into 34 software components. Implementation of the design in a physical system was addressed through…
Descriptors: Adaptive Testing, Adults, Computer Assisted Testing, Computer Programs

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