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  • Format: ePub

Stone and Stenner propose Substantive-Theory and Constructive Measures as crucial elements in determining predictive measures and variance to advance causation in a specified frame of reference. The collected chapters and supplementary measurement commentary provide the details to this approach. Redundancy is purposeful in demonstrating the primacy of theory over data. The collective process is contained in the measurement mechanism, which embodies substantive theory, constructed instrumentation, and assembled data supporting spot-on prediction or identifying errorcausal science.

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Produktbeschreibung
Stone and Stenner propose Substantive-Theory and Constructive Measures as crucial elements in determining predictive measures and variance to advance causation in a specified frame of reference. The collected chapters and supplementary measurement commentary provide the details to this approach. Redundancy is purposeful in demonstrating the primacy of theory over data. The collective process is contained in the measurement mechanism, which embodies substantive theory, constructed instrumentation, and assembled data supporting spot-on prediction or identifying errorcausal science.

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Autorenporträt
Jack Stenner and Mark Stone have been collaborating for more than forty years on issues of measurement and reading theory. Dr. Stone is a licensed clinical psychologist, board certified in school psychology and clinical psychology (ABPP). A MESA graduate, he retired as vice president and academic dean of the Adler Institute, where he taught research design and statistics. He now teaches at Aurora University and supervises doctoral dissertations. Dr. Stenner is chief science officer and cofounder of MetaMetrics Inc. He is research professor in the Applied Developmental Sciences and Special Education program, School of Education, at the University of North Carolina at Chapel Hill and chief science officer at MetaMetricsdevelopers of the Lexile Framework for Reading and the Quantile Framework for Mathematics. Dr. Donald Burdick, PhD, coauthored with Jack and Mark How to Model and Test for Mechanisms That Make Measurement Systems Work.