Applied Behavioral Sciences

From a preeminent authority—a modern and applied treatment of multiway data analysis
This groundbreaking book is the first of its kind to present methods for analyzing multiway data by applying multiway component techniques. Multiway analysis is a specialized branch of the larger field of multivariate statistics that extends the standard methods for two-way data, such as component analysis, factor analysis, cluster analysis, correspondence analysis, and multidimensional scaling to multiway data. Applied Multiway Data Analysis presents a unique, thorough, and authoritative treatment of this relatively new and emerging approach to data analysis that is applicable across a range of fields, from the social and behavioral sciences to agriculture, environmental sciences, and chemistry.

This textbook takes a new approach to economics by taking into account behavioral sciences and ethics. The basics of institutional economics are the starting point of the book, which are combined with insights from business ethics and behavioral science. It analyzes human behavior in order to discover incentives for economic agents to behave in a welfare-maximizing way, and analyzes the impact of human behavior and morality on economic systems, markets and politics. This textbook draws from new research results from behavioral economics, as well as from other disciplines, such as psychology and sociology, thus leading to new conclusions for economic science.

This book applies a range of ideas about scientific discovery found in contemporary philosophy of science to psychology and related behavioral sciences. In doing so, it aims to advance our understanding of a host of important methodological ideas as they apply to those sciences. A philosophy of local scientific realism is adopted in favor of traditional accounts that are thought to apply to all sciences. As part of this philosophy, the implications of a commitment to philosophical naturalism are spelt out, and a correspondence theory of truth is defended by showing how it helps explain various features of scientific practice.