The theory of information integration provides a unified, general approach to the three disciplines of cognitive, social, and developmental psychology. Each of these volumes illustrates how the concepts and methods of this experimentally-grounded theory may be productively applied to core problems in one of these three disciplines.
Table of Contents
Contents: C.C. Graesser, A Social Averaging Theorem for Group Decision Making. A.J. Farkas, Cognitive Algebra of Interpersonal Unfairness. W. Hommers, N.H. Anderson, Moral Algebra of Harm and Recompense. R. Singh, Two Problems in Cognitive Algebra: Imputations and Averaging Versus Multiplying. N.H. Anderson, Stereotype Theory. N.H. Anderson, Psychodynamics of Everyday Life: Blaming and Avoiding Blame.
"Readers will find each chapter to be well written and hard hitting; the authors state their position with force and, when the evidence is warranted, take no prisoners in terms of competing theories. Each chapter, whether you are a fan of information integration theory or not, should serve to generate new research and to clarify ways of thinking about old issues....The chapters in this volume show that information integration theory is capable of making strong predictions across seemingly disparate domains and that these predictions are supported by empirical data. The next generation of theories in social psychology will have to better this accomplishment."
—American Journal of Psychology