State-Trace Analysis

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. Annotation 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 Front Matter ....Pages i-xiii Front Matter ....Pages 1-1 The Logic of State-Trace Analysis (John C. Dunn, Michael L. Kalish)....Pages 3-19 Monotonicity (John C. Dunn, Michael L. Kalish)....Pages 21-31 Functional Dissociation (John C. Dunn, Michael L. Kalish)....Pages 33-40 Front Matter ....Pages 41-41 Statistical Methodology (John C. Dunn, Michael L. Kalish)....Pages 43-55 Mixed Designs with Continuous Dependent Variables (John C. Dunn, Michael L. Kalish)....Pages 57-72 Independent Observations with Binary Dependent Variables (John C. Dunn, Michael L. Kalish)....Pages 73-82 More Examples (John C. Dunn, Michael L. Kalish)....Pages 83-93 Front Matter ....Pages 95-95 Bayesian Approaches (John C. Dunn, Michael L. Kalish)....Pages 97-101 Final Comments (John C. Dunn, Michael L. Kalish)....Pages 103-109 Back Matter ....Pages 111-123