"Judgment Analysis" provides the first theoretical and methodological summary of judgment analysis that integrates a diverse range of issues, guiding principles, and applications. The key features concern with capturing, comparing, and aggregating judgment policies. The book is a training guide for new researchers and postgraduate students and a handbook for more experienced researchers and consultants. It is a complete methodological guide to the conduct of judgment analysis studies. It traces the history of the judgment analysis paradigm from Brunswik to present day professionals. It reviews areas of application for judgment analysis including medical, social policy, education, clinical, and consumer management. It covers the newest developments in the lens model equation, and unites information from a wide variety of sources in one volume.

This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.

This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.