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State-Trace Analysis
Author
Title
State-Trace Analysis [electronic resource] / by John C. Dunn, Michael L. Kalish.
ISBN
9783319731292
Publication
Cham : Springer International Publishing : Imprint: Springer, 2018.
Physical Description
1 online resource (XIII, 123 p.) 37 illus.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
This book provides an introduction to the theory, method, and practice of State-Trace Analysis (STA), and includes a detailed tutorial on the statistical analysis of state-trace designs. The book offers instructions on how to perform state-trace analysis using the authors' own publicly-available software in both Matlab and R. The book begins by discussing the general framework for thinking about the relationships between independent variables, latent variables, and dependent variables. Subsequent chapters provide a software package that can be used to fit state-trace models as well as additional designs and examples. The book concludes with a discussion on potential extensions of STA and additional aspects of its application. State-Trace Analysis will be of interest to researchers and graduate students working in experimental, applied, and cognitive psychology. .
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
May 01, 2018
Series
Computational Approaches to Cognition and Perception,
Contents
Part I: Theory
Chapter 1. The Logic of State-Trace Analysis
Chapter 2. Monotonicity
Chapter 3. Functional Dependence
Part II: Application
Chapter 4. Statistical Methodology
Chapter 5. Mixed Designs with Continuous Dependent Variables
Chapter 6. Independent Observations with Binary Dependent Variables
Chapter 7. More Examples
Part III: Further Topics
Chapter 8. Bayesian Approaches
Chapter 9. Final Comments
Appendix
References. .
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