State-Trace Analysis (Computational Approaches to Cognition and Perception)

Dunn, John C./ Kalish, Michael L.

Springer International Publishing AG（2018/02発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 123 p.
• 言語 ENG
• 商品コード 9783319731285

Full Description

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. 

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.