This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, are characterized by manuscript critiques such as: (a) "your self-report measures suffer from common method bias"; (b) "your item-to-subject ratios are too low"; (c) "you can’t generalize these findings to the real world"; or (d) "your effect sizes are too low". Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.

This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.

Featuring over 900 entries, this resource covers all disciplines within the social sciences with both concise definitions & in-depth essays.

Many authors have argued that applying social psychology to the solution of real world problems builds better theories. Observers have claimed, for example, that of human behavior applied social psychology reveals more accurate principles because its data are based on people in real-life circumstances (Helmreich, 1975; Saxe & Fine, 1980), provides an opportunity to assess the ecological validity of generalizations derived from laboratory research (Ellsworth, 1977; Leventhal, 1980), and discloses important gaps in existing theories (Fisher, 1982; Mayo & LaFrance, 1980). Undoubtedly, many concrete examples can be mustered in support of these claims. But it also can be argued that applying social psychology to social issues and problems builds better research methods. Special methodological problems arise and new perspectives on old methodological problems emerge when re searchers leave the laboratory and tackle social problems in real-world settings. Along the way, we not only improve existing research techniques but also devel op new research tools, all of which enhance our ability to obtain valid results and thereby to understand and solve socially relevant problems. Indeed, Campbell and Stanley's (1966) seminal work on validity in research design grew out of the application of social science in field settings. In this spirit, the principal aim of this volume is to present examples of methodological advances being made as researchers apply social psychology in real-life settings.