The use of computers and the Internet in the testing community has expanded the opportunity for innovative testing. Until now, there was no one source that reviewed the latest methods of automated scoring for complex assessments. This is the first volume to provide that coverage, along with examples of "best practices" in the design, implementation, and evaluation of automated complex assessment. The contributing authors, all noted leaders in the field, introduce each method in the context of actual applications in real assessments so as to provide a realistic view of current industry practices.
Evidence Centered Design, an innovative approach to assessment design, is used as the book's conceptual framework. The chapters review both well known methods for automated scoring such as rule-based logic, regression-based, and IRT systems, as well as more recent procedures such as Bayesian and neural networks. The concluding chapters compare and contrast the various methods and provide a vision for the future. Each chapter features a discussion of the philosophical and practical approaches of the method, the associated implications for validity, reliability, and implementation, and the calculations and processes of each technique.
Intended for researchers, practitioners, and advanced students in educational testing and measurement, psychometrics, cognitive science, technical training and assessment, diagnostic, licensing, and certification exams, and expert systems, the book also serves as a resource in advanced courses in educational measurement or psychometrics.
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David M. Williamson, Robert J. Mislevy, Isaac I. Bejar
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Hardback. Condition: New. Edited by David M. Williamson, Robert J. Mislevy and Isaac I. Bejar, this collection examines how computers can score complex test tasks such as simulations, extended performance assessments and written responses. It opens with an introduction by the editors and then sets out the concepts, terms and basic models of evidence-centered design, which serves as the framework for the volume. A chapter on human scoring is followed by chapters on particular methods, each shown in use in an operational assessment. These include a regression-based procedure for scoring a complex medical performance assessment, testlet response theory, Bayesian networks for computerized simulation tasks, artificial neural networks, and linguistic analysis of textual responses. A closing chapter considers validity and how automated scoring can be built into a test system driven by its construct from the start. Seller Inventory # OA-241122-shelf-33-029
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. David M. Williamson, Robert J. Mislevy, Isaac I. BejarThe use of computers and the Internet in the testing community has expanded the opportunity for innovative testing. Until now, there was no one source that reviewed the latest methods of automated. Seller Inventory # 595020141
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