Thirty-five chapters describe various judgmental heuristics and the biases they produce, not only in laboratory experiments, but in important social, medical, and political situations as well. Most review multiple studies or entire subareas rather than describing single experimental studies.

A comprehensive, up-to-date examination of the most important theory, concepts, methodological approaches, and applications in the burgeoning field of judgment and decision making (JDM) Emphasizes the growth of JDM applications with chapters devoted to medical decision making, decision making and the law, consumer behavior, and more Addresses controversial topics from multiple perspectives – such as choice from description versus choice from experience – and contrasts between empirical methodologies employed in behavioral economics and psychology Brings together a multi-disciplinary group of contributors from across the social sciences, including psychology, economics, marketing, finance, public policy, sociology, and philosophy 2 Volumes

This book offers an overview of recent research on the psychology of judgment and decision making, the field that investigates the processes by which people draw conclusions, reach evaluations, and make choices. An introductory, historically oriented chapter provides a way of viewing the overall structure of the field, its recent trends, and its possible directions. Subsequent sections present significant recent papers by prominent researchers, organized to reveal the currents, connections, and controversies that animate the field. Current trends in the field are illustrated with papers from ongoing streams of research. The papers on "connections" explore memory, explanation and argument, affect, attitudes, and motivation. Finally, a section on "controversies" presents problem representation, domain knowledge, content specificity, rule-governed versus rule-described behavior, and proposals for radical departures and new beginnings in the field. Students and researchers in psychology who have an interest in cognitive processes will find this text to be rewarding reading.

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.