Systems Factorial Technology A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms 1st edition by Daniel Little, Nicholas Altieri, Mario Fific, Cheng Ta Yang 0128043868 9780128043868

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ISBN-10 :  0128043868 

ISBN-13 : 9780128043868

Author:   Daniel Little, Nicholas Altieri, Mario Fific, Cheng Ta Yang 

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.

Systems Factorial Technology A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms 1st Table of contents:

Part One: Introduction to Systems Factorial Technology
1: Historical Foundations and a Tutorial Introduction to Systems Factorial Technology
Abstract
Introduction
Historical Background
Properties of Information Processing Systems
The Double Factorial Paradigm
Conclusion
References
2: Stretching Mental Processes: An Overview of and Guide for SFT Applications
Abstract
Factorial Design: The Reverse Engineering Tool in Cognitive Psychology
Probing the Processes: Stretching and Inserting
Stretching of Two Factors and Additivity
Implementing Systems Factorial Technology
Integrative Workspace
Statistical Tests
Summary
References
Part Two: Recent Advances in Systems Factorial Technology
3: Statistical Analyses for Systems Factorial Technology
Abstract
Introduction
Nonparametric Null Hypothesis Tests
Bayesian Analyses for SFT
Exploratory Analysis with Functional Principal Component Analysis
Conclusions
References
4: Development and Applications of the Capacity Function that also Measures Accuracy
Abstract
Acknowledgements
Introduction
Theoretical Foundations for Measuring Capacity
A Response-Time Measure of Capacity Using Integrated Hazard Functions
A Capacity Measure Incorporating Accuracy
Experimental Application
Methods
Results
General Discussion
Conclusion
Appendix
References
5: Selective Influence and Classificatory Separability (Perceptual Separability) in Perception and Cognition: Similarities, Distinctions, and Synthesis
Abstract
Selective Influence
Classificatory Separability
The Pivotal Notion and Role of Marginal Selective Influence
A Synthesis of Classificatory Separability and Selective Influence
References
6: Bridge-Building: SFT Interrogation of Major Cognitive Phenomena
Abstract
Acknowledgement
An SFT Analysis of the Stroop Effect: Potential for a Radical New Theory
SFT-Based Examination of Garner Effects: Challenges to the Integrality–Separability Contrast
An SFT Analysis of the Size Congruity Effect
An SFT Interrogation of the Redundant Target: The Role of Names
Concluding Remarks
References
7: An Examination of Task Demands on the Elicited Processing Capacity
Abstract
Acknowledgements
Introduction
Capacity and Gestalt Processing
Perceptual Decision Making
Perceptual Learning
Memory
An Aside on Methods, Mechanisms, and Interpretation
Elusive Supercapacity?
References
8: Categorization, Capacity, and Resilience
Abstract
Capacity with Distractors
Capacity and the Influence of Distractors
Using the Resilience Difference Function Without a Double Target
Conclusion
References
Part Three: Applications of Systems Factorial Technology
9: Applying the Double Factorial Paradigm to Detection and Categorization Tasks: An Example Using Audiovisual Speech Perception
Abstract
Introduction
Methods
Results: Experiment 1
Results: Experiment 2
General Discussion and Conclusion
References
10: Attention and Perceptual Decision Making
Abstract
Acknowledgement
Attention and Perceptual Decision Making
References
11: Are Two Ears Always Better than One? The Capacity Function Says No
Abstract
Acknowledgements
Introduction
Methods
Results
General Discussion
Summary and Conclusions
References
12: Logical-Rule Based Models of Categorization: Using Systems Factorial Technology to Understand Feature and Dimensional Processing
Abstract
SFT Applied to Perceptual Categorization
The Processing of Separable and Integral Dimensions
Mental Architecture and the Concept of Holism
Empirical Distinctions Between Separable and Integral Dimensions
General Recognition Theory
Logical Rule-Models: Combining Mental Architectures with Perceptual Representations
Diagnostic Contrast Category Predictions
Architecture, Integrality, and Separability
Link Between Logical Rule Models and GRT-RT
Conclusion and Future
References
13: Applying Systems Factorial Technology to Accumulators with Varying Thresholds
Abstract
Acknowledgement
Accumulator Models and Threshold Variability
Preliminary Simulations and the Literature on Coactive Architectures
Results
Discussion
Conclusion
Appendix: DAVT Simulations Using a Normal Distribution for Evidence Arrival Times
References
14: Can Confusion-Data Inform SFT-Like Inference? A Comparison of SFT and Accuracy-Based Measures in Comparable Experiments
Abstract
Acknowledgement
Systems Factorial Technology
Three RT Experiments Using SFT
Three New Accuracy Experiments Using GRT
Simulations
Discussion
References
15: The Advantages of Combining the Simultaneous–Sequential Paradigm with Systems Factorial Technology
Abstract
Experiments
Discussion
References
Part Four: Bridging Levels of Explanation
16: The Continuing Evolution of Systems Factorial Theory: Connecting Theory with Behavioral and Neural Data
Abstract
Two Predecessors
A Survey of Applications
A New Application
Conclusions
References
17: Systems-Factorial-Technology-Disclosed Stochastic Dynamics of Stroop Processing in the Cognitive Neuroscience of Schizophrenia
Abstract
Introduction
Overview of fMRS Technique and Results
Assets of Current Modeling Context
Modeling fMRS-Monitored Stroop Performance
Discussion
Concluding Comments
Appendix
References
18: Applications of Capacity Analysis into Social Cognition Domain
Abstract
The Divided Attention Task and Capacity Measurements
Own-Race Biases in Face Perception
In-Group Biases
Self- and Reward-Biases
Conclusion
Further Directions

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Tags: Systems Factorial, Technology, Driven Methodology, Identification, Perceptual, Cognitive Mechanisms, Daniel Little, Nicholas Altieri, Mario Fific, Cheng Ta Yang