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A handbook stressing the enduring theoretical principles of the design of measurement systems. The material is organized to correspond to the sequence in which a management system is first conceived, then designed, built, installed, and maintained. Includes the latest information on digital signals, pattern recognition, digital data networks and feedback systems design, and focus on the problem of extracting signals in the presence of noise sources at any useful depth.
A handbook stressing the enduring theoretical principles of the design of measurement systems. The material is organized to correspond to the sequence in which a management system is first conceived, then designed, built, installed, and maintained. Includes the latest information on digital signals, pattern recognition, digital data networks and feedback systems design, and focus on the problem of extracting signals in the presence of noise sources at any useful depth.
A handbook stressing the enduring theoretical principles of the design of measurement systems. The material is organized to correspond to the sequence in which a management system is first conceived, then designed, built, installed, and maintained. Includes the latest information on digital signals, pattern recognition, digital data networks and feedback systems design, and focus on the problem of extracting signals in the presence of noise sources at any useful depth.
By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating and computerized-adaptive testing. The book also includes a thorough discussion of alternative procedures for estimating IRT parameters and concludes with an exploration of new directions in IRT research and development.
A handbook stressing the enduring theoretical principles of the design of measurement systems. The material is organized to correspond to the sequence in which a management system is first conceived, then designed, built, installed, and maintained. Includes the latest information on digital signals, pattern recognition, digital data networks and feedback systems design, and focus on the problem of extracting signals in the presence of noise sources at any useful depth.
Historical and Conceptual Foundations of Measurement in the Human Sciences explores the assessment and measurement of nonphysical attributes that define human beings: abilities, personalities, attitudes, dispositions, and values. The proposition that human attributes are measurable remains controversial, as do the ideas and innovations of the six historical figures—Gustav Fechner, Francis Galton, Alfred Binet, Charles Spearman, Louis Thurstone, and S. S. Stevens—at the heart of this book. Across 10 rich, elaborative chapters, readers are introduced to the origins of educational and psychological scaling, mental testing, classical test theory, factor analysis, and diagnostic classification and to controversies spanning the quantity objection, the role of measurement in promoting eugenics, theories of intelligence, the measurement of attitudes, and beyond. Graduate students, researchers, and professionals in educational measurement and psychometrics will emerge with a deeper appreciation for both the challenges and the affordances of measurement in quantitative research.