Systems Factorial Technology (eBook, ePUB)

A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms
Redaktion: Little, Daniel; Yang, Cheng-Ta; Fific, Mario; Altieri, Nicholas

• Format: ePub

Produktbeschreibung

Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms explores the 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 and includes novel applications to not only basic psychological questions, but also clinical diagnosis and links to neuroscience.

Researchers can use this book to begin using the methodology behind SFT and to 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 SFT
• Includes a tutorial on applying the method to reaction time data from a variety of different situations
• Introduces novel advances for testing the significance of SFT results
• Incorporates new measures that allow for the relaxation of the high accuracy criterion
• Examines tools to expand the scope of SFT analyses
• Applies SFT to a spectrum of different cognitive domains across different sensory modalities

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 428
• Erscheinungstermin: 10. April 2017
• Englisch
• ISBN-13: 9780128043868
• Artikelnr.: 48044937

Autorenporträt

Daniel R. Little is a Senior Lecturer at the University of Melbourne. He directs the Knowledge, Information & Learning Laboratory in the Melbourne School of Psychological Sciences. His research focuses on the mathematical modeling of complex perceptual decisions in categorization and recognition. Daniel received his PhD in 2009 from the University of Western Australia.

Inhaltsangabe

I. Introduction to Systems Factorial Technology 1. Historical Foundations and a Tutorial Introduction to Systems Factorial Technology Nicholas Altieri, Mario Fific, Daniel Little and Cheng-Ta Yang 2. Stretching Mental Processes: An Overview of and Guide for SFT Applications Mario Fific and Daniel Little

II. Recent Advances in Systems Factorial Technology 3. Statistical analyses for Systems Factorial Technology Joseph Houpt and Devin Michael Burns 4. Development and Applications of the Capacity-Function that Measures Accuracy Nicholas Altieri 5. Selective Influence And Categorical Separability (Perceptual Separability) In Perception And Cognition: Similarities And Distinctions James T. Townsend, Yanjun Liu and Jennifer Lentz 6. Bridge-Building: SFT Interrogation of Major Cognitive Phenomena Daniel Algom, Daniel Fitousi and Ami Eidels 7. An Examination of Task Demands on the Elicited Processing Capacity Leslie Blaha 8. An Information Processing Perspective to Understanding Conflicting Information Xue Jun Cheng, Sarah Moneer, Nicole Elise Christie and Daniel Little

III. Applications of Systems Factorial Technology 9. Applying the Double Factorial Paradigm to Detection and Categorization Tasks: An Example Using Audiovisual Speech Perception Nicholas Altieri 10. Attention and Perceptual Decision Making Cheng-Ta Yang 11. Are Two Ears Always Better than One? The Capacity Function Says No Yuan He, Jennifer Lentz and James T. Townsend 12. Logical-rule Based Models of Categorization: Using Systems Factorial Technology to Understand Feature and Dimensional Processing David william Griffiths, Anthea Grace Blunden and Daniel Little 13. Applying Systems Factorial Technology to Discrete Accumulators with Varying Thresholds Bradley Harding, Vincent LeBlanc, Marc-Andre Goulet and Denis Cousineau 14. Can Confusion-Data Inform Systems Factorial Technology-Like Inference? A Comparison of SFT and Accuracy-Based Measures in Comparable Experiments Zachary L. Howard, Ami Eidels, Noah H. Silbert, and Daniel R. Little 15. The Advantages of Combining the Simultaneous-Sequential Paradigm with Systems Factorial Technology Piers Douglas Howe and Adam Ferguson

IV. Bridging Levels of Explanation 16. The Continuing Evolution of Systems Factorial Theory: Connecting Theory with Behavioral and Neural Data Michael Wenger, Erin Ingvalson and Stephanie Rhoten 17. Using Systems Factorial Technology to Elucidate the "f" of Clinical fMRS (functional Magnetic Spectroscopy Reggie Taylor, Jean Theberge, Peter Williamson, Maria Densmore and Richard Neufeld 18. Applications of Capacity Analysis into Social Cognition Domain Alla Yankouskaya, Jie Sui, Zahra Moradi, Pia Rotshtein, and Glyn W. Humphreys