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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