Systems Factorial Technology / Najlacnejšie knihy
Systems Factorial Technology

Code: 15378680

Systems Factorial Technology

by Daniel Little

Based on the landmark work by James T. Townsend and colleagues, Systems Factorial Technology (SFT) explores theoretical and methodological tools used to investigate fundamental questions central to basic psychological and perceptu ... more

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Book synopsis

Based on the landmark work by James T. Townsend and colleagues, Systems Factorial Technology (SFT) explores theoretical and methodological tools used to investigate fundamental questions central to basic psychological and perceptual processes. Such processes include detection, identification, classification, recognition, and decision making. This book collects the tools that allow researchers to deal with the pervasive model mimicry problems which exist in standard experimental and theoretical paradigms; it includes novel applications to not only basic psychological questions, but also clinical diagnosis and links to neuroscience. Though the work here is among the most mathematically sophisticated in the psychological sciences, the editors have ensured the material is accessible and understandable. Researchers can use this book to get started using the methodology behind SFT and get an overview of current uses and future directions. The collected developments and applications of SFT allow us to peer inside the "human mind", and provide strong constraints on psychological theory. Provides a thorough introduction to the diagnostic tools offered by SFTIncludes a tutorial on applying the method to reaction time data from a variety of different situationsIntroduces novel advances for testing the significance of SFT resultsIncorporates new measures which allow for the relaxation of the high accuracy criterionExamines tools to expand the scope of SFT analysesApplies SFT to a spectrum of different cognitive domains across different sensory modalities

Book details

Book category Books in English Mathematics & science Biology, life sciences Life sciences: general issues

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