Cooksey, R.W. (1996). Judgment Analysis: Theory, Methods, and Application. New York: Academic Press.

The pupose of this book is to provide a comprehensive guide to the judgment analysis (JA) paradigm starting with theoretical foundations and moving into design, execution, and analysis discussion. The book is liberally illustrated with JA examples from a variety of research domains and provides practical guidance on how to conduct JA research. The following is an abbreviated table of contents (the first two heading levels only) of the book which should give Brunswikians a good idea of what is covered.

Chapter 1: Theoretical Foundations of Judgment Analysis

• Brunswik's Probabilistic Functionalism
• Social Judgment Theory and the Cognitive Continuum
• Judgment Analysis Compared to Other Decision Approaches

Chapter 2: Designing Judgment Analysis Research

• The Single System Design
• The Double System Design
• The Triple System Design
• The n-System Design
• Hierarchical Judgment Designs

Chapter 3: Constructing Judgment Analysis Tasks

• The Overall Context of Judgment Analysis Research
• Specific Design Considerations
• Executing a Judgment Analysis Study

Chapter 4: Capturing Judgment Policies

• Multiple Regression Procedures
• Multiple Regression Assumptions and the Analysis of Residuals
• Multivariate and Partialling Models for Judgment Analysis Designs
• Analysis of Judgment by Blocks (as in MCPL Tasks)
• Cross-Validation Procedures and Judgmental Bootstrapping

Chapter 5: Comparing Systems: The Lens Model Equation

• The Evolution of the Standard Lens Model Equation
• Indices for IPC and IPL Studies
• Cognitive Feedback Information
• Alternative Decompositions for Judgment Analysis
• Multivariate Extensions of the Lens Model

Chapter 6: Aggregating and Comparing Judgment Policies

• Policy Aggregation Using Analysis of Variance Techniques
• Policy Aggregation Using Cluster Analytic Techniques
• Policy Specifying and Behavioral Policy Aggregation

Chapter 7: Special Topics and Issues in Judgment Analysis

• Handling Categorical Cues
• Nonmetric Lens Model
• Handling Categorical Judgments
• Lens Model Analysis in Designs Where the Cues Are Unknown
• Reliability and Validity of Policy Capturing Information
• Reporting Standards for Judgment Analysis Research

Chapter 8: Future Directions for Judgment Analysis Research

• Coping with Dynamic Ecologies and Judgment Tasks
• Developing and Understanding Personalized (Idiographic) Cue Ecologies
• The Case Judgment Method
• The Question of Causality in Lens Model Research
• The Potential Utility of Statistical Bootstrapping

Appendix A: Computer Programs for Supporting Judgment Analysis Research

• POLICY PC (Executive Decision Services)
• GLENS (Cooksey & Freebody)
• LENS (Dickinson & Cooksey)
• CUER (Hogge)
• Micro HIERGRP (Air Force Human Resources Laboratory
• JABOOT (Cooksey)

Appendix B: Glossary of Important Terms

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(7/12/96)